Edtech software development usually goes wrong long before the first sprint starts. Teams often begin with features, interface ideas, or AI ambitions, then discover later that the real constraints sit elsewhere: student data, accessibility, integrations, role complexity, and institutional adoption. That is why many teams work withCodebridge only after realizing that education products are not just software products. They are operating systems for learning, delivery, reporting, and trust.
That matters even more in 2026. UNESCO continues to frame AI and digital education around inclusion, human oversight, and learner rights, while accessibility and interoperability remain practical requirements for products that need to survive in real educational environments. WCAG 2.2 is the current web accessibility standard, and LTI remains one of the core ways digital learning tools connect securely with LMS ecosystems.
Start with the learning workflow, not the feature list
The first decision in edtech software development is not whether you need a mobile app, a web portal, or AI-assisted features. It is which learning workflow the product must support better than existing tools.
That sounds obvious, but many teams still begin with generic features: dashboards, quizzes, messaging, content libraries, certificates. Those are components, not product logic. A stronger planning process asks harder questions first. Who is the user with the highest-friction job? Where does time get lost? Which step breaks trust, slows adoption, or creates manual admin work?
In practice, education software usually has to serve several roles at once: administrators, instructors, students, and sometimes parents or mentors. If those workflows are not mapped clearly before development starts, the product becomes confusing fast.
Define whose problem you are solving first
A common mistake in education software development is trying to serve every stakeholder from day one. That usually creates bloated products and weak adoption.
A better approach is to choose the first operational winner. That may be:
a school admin who needs cleaner reporting
an instructor who needs easier assignment workflows
a student who needs a simpler learning path
a training provider that needs a scalable delivery model
That decision shapes almost everything else: permissions, interface complexity, analytics, notifications, and onboarding. Products that try to satisfy every role equally in version one usually end up satisfying none of them well.
Treat accessibility as a product requirement, not a later fix
Accessibility should be part of planning, not QA cleanup. WCAG 2.2 sets out the current recommendations for making web content more accessible, and those requirements directly affect navigation, forms, error states, focus order, text alternatives, and mobile interaction.
In EdTech, this has direct product consequences. Learners and educators depend on clarity, consistency, and low-friction interaction for daily work. If accessibility is postponed until after launch, teams often have to redesign core interface behavior instead of making small adjustments.
In other words, accessibility is not just a compliance topic. It is a usability and adoption topic.
Decide your compliance boundary before architecture hardens
Many teams underestimate how early privacy and compliance decisions affect the product. In education, student data is rarely neutral. In the U.S., FERPA governs education records, while COPPA matters for products directed to children or knowingly collecting data from them.
The real planning question is not “Are we compliant?” It is “What data should we avoid collecting in the first place, and where do we need stronger controls?” That influences:
account structure
consent flows
data retention
audit trails
reporting access
third-party integrations
If those decisions are deferred, the team often ends up rebuilding identity, permissions, and data models later.
Plan integrations earlier than you think
Education platforms rarely live alone. Most have to connect with LMSs, SIS platforms, identity tools, content providers, assessment systems, or reporting layers.
That is why interoperability should be treated as a planning decision, not a technical add-on. 1EdTech’s LTI standard exists specifically to support secure, consistent integration between learning tools and platforms, including single sign-on and exchange of course and user context. 1EdTech has also emphasized that interoperability is becoming non-optional as institutions demand connected systems that reduce complexity and scale more reliably.
This affects roadmap choices. If institutional adoption matters, integration readiness may be more important than adding more learner-facing features.
Be precise about where AI belongs
AI is now part of many EdTech roadmaps, but planning usually fails when teams treat AI as a surface feature instead of an operational decision.
UNESCO’s current guidance keeps pushing the same strategic principle: AI in education should support learning and teaching without displacing human agency, rights, or oversight.
For product planning, that means defining where AI can safely help. Good uses may include draft feedback, support workflows, content tagging, summarization, or tutor assistance within clear limits. Riskier uses include grading autonomy, sensitive recommendations, high-stakes learner profiling, or decision paths with weak transparency.
The key decision is not whether to use AI. It is where AI stops and human responsibility begins.
Scope the first release around adoption, not ambition
The best early EdTech products do not try to prove everything at once. They prove one workflow well enough that a real user group wants to keep using it.
That usually means the first release should answer five questions:
Which user gets immediate value?
Which workflow becomes easier or faster?
What must integrate now?
What must be measurable from day one?
What risk would force redesign later if ignored now?
This is where product planning becomes a commercial decision. Good scope reduces time-to-value. Bad scope hides structural problems until rollout.
Conclusion
Planning edtech software development is really about deciding what kind of product you are building before code locks the wrong assumptions into place.
The strongest teams make those decisions early. They define the core learning workflow, choose the first user they need to win, design for accessibility from the start, set privacy boundaries before architecture hardens, plan integrations early, and place AI inside a clear governance model. That is what gives an education product a real chance to scale.
Daily writing prompt
What place in the world do you never want to visit? Why?
Observational studies form a cornerstone of epidemiological research, offering critical insights into disease patterns, risk factors, and health outcomes in real-world settings. Unlike experimental designs such as randomized controlled trials, observational studies examine associations without manipulating exposures, making them particularly valuable for studying long-term effects, rare conditions, and ethically sensitive topics. However, the inherent complexity and susceptibility to bias in observational designs necessitate rigorous and transparent reporting.
To address these challenges, the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) Statement was developed. It provides a structured framework for reporting observational studies, including cohort, case-control, and cross-sectional designs. This essay examines the origins, structure, components, significance, and implications of the STROBE guidelines, highlighting their role in enhancing the quality and reliability of epidemiological research.
The Importance of Observational Studies
Observational studies are indispensable in public health and clinical research. They are particularly useful when:
Randomization is impractical or unethical
Long-term exposure effects need to be studied
Rare outcomes or conditions are investigated
Population-level trends are analyzed
For example, associations between smoking and lung cancer, environmental exposures and health outcomes, and lifestyle factors and chronic diseases have largely been established through observational research.
Despite their value, observational studies are prone to various biases, including selection bias, information bias, and confounding. These limitations make transparent and comprehensive reporting essential for accurate interpretation and critical appraisal.
Need for Reporting Guidelines: Emergence of STROBE
Before the introduction of STROBE, observational studies were often reported inconsistently, with key methodological details omitted or poorly described. This lack of transparency hindered the ability of researchers and policymakers to evaluate study quality and applicability.
The STROBE Statement was developed in response to these challenges by an international collaboration of epidemiologists, methodologists, statisticians, and journal editors. Its primary objective is to improve the reporting of observational studies, ensuring that they are presented clearly, completely, and transparently.
STROBE does not prescribe how studies should be conducted; rather, it focuses on how they should be reported. This distinction is crucial, as it allows flexibility in research design while promoting consistency in communication.
Overview of the STROBE Guidelines
The STROBE Statement provides a 22-item checklist that outlines essential elements to be included in reports of observational studies. These items are organized according to the standard structure of a scientific paper:
Title and abstract
Introduction
Methods
Results
Discussion
Other information
Separate checklists are available for different study designs:
Cohort studies
Case-control studies
Cross-sectional studies
Conference abstracts
This tailored approach ensures that the guidelines are relevant to the specific methodological features of each design.
Key Components of the STROBE Checklist
1. Title and Abstract
The title and abstract should clearly indicate the study design and provide a balanced summary of the research. This transparency allows readers to quickly understand the nature and scope of the study.
2. Introduction
The introduction should include:
Background and rationale
Specific objectives or hypotheses
Authors are encouraged to explain the scientific context and significance of the study, providing a clear justification for its conduct.
3. Methods
The methods section is a critical component of the STROBE checklist and includes detailed reporting of:
Study Design
Authors should describe the design (cohort, case-control, or cross-sectional) early in the paper.
Setting
Details about the study setting, locations, and relevant dates should be provided.
Participants
Eligibility criteria, recruitment methods, and selection processes should be clearly described.
Variables
Definitions of exposures, outcomes, confounders, and effect modifiers should be specified.
Data Sources and Measurement
Authors should explain how data were collected and measured, including tools and instruments used.
Bias
Potential sources of bias should be identified, along with strategies used to address them.
Study Size
Explanation of how the sample size was determined.
Quantitative Variables
Handling of quantitative data, including categorization and transformations.
Statistical Methods
Detailed description of statistical analyses, including methods for controlling confounding and assessing interactions.
4. Results
The results section should provide a comprehensive account of study findings, including:
Participants
Number of individuals at each stage of the study, including reasons for non-participation.
Descriptive Data
Baseline characteristics of study participants.
Outcome Data
Summary of outcomes and exposures.
Main Results
Effect estimates, confidence intervals, and statistical significance.
Other Analyses
Subgroup analyses, sensitivity analyses, and additional findings.
The use of tables and figures is encouraged to enhance clarity.
5. Discussion
The discussion should include:
Summary of key findings
Interpretation in the context of existing literature
Discussion of limitations and potential biases
Generalizability of results
Authors are expected to provide a balanced interpretation, acknowledging both strengths and weaknesses.
6. Other Information
This section includes:
Funding sources
Conflicts of interest
Ethical considerations
Transparency in these areas is essential for maintaining trust in research.
Significance of STROBE Guidelines
1. Enhancing Transparency
STROBE promotes detailed and systematic reporting, enabling readers to fully understand how studies were conducted and analyzed.
2. Facilitating Critical Appraisal
By standardizing reporting, STROBE allows researchers and reviewers to assess study quality more effectively, identifying potential biases and limitations.
3. Supporting Evidence-Based Practice
Observational studies often inform public health policies and clinical guidelines. Improved reporting ensures that such decisions are based on reliable evidence.
4. Promoting Reproducibility
Comprehensive reporting enables other researchers to replicate studies or build upon existing findings, contributing to cumulative knowledge.
Comparison with Other Reporting Guidelines
STROBE is part of a broader ecosystem of reporting standards:
CONSORT – Randomized controlled trials
PRISMA – Systematic reviews
TREND – Nonrandomized intervention studies
CARE – Case reports
Each guideline addresses a specific study design, ensuring that all forms of research are reported with appropriate rigor. STROBE complements these guidelines by focusing on observational research, which constitutes a large proportion of epidemiological studies.
Challenges in Implementation
Despite its benefits, the implementation of STROBE faces several challenges:
1. Limited Awareness
Not all researchers are familiar with STROBE, leading to inconsistent adoption.
2. Variability in Journal Requirements
While many journals endorse STROBE, enforcement varies, resulting in uneven compliance.
3. Complexity of Observational Studies
The diversity of observational designs can make it challenging to apply a standardized checklist universally.
Future Directions
To enhance the impact of STROBE, several steps can be considered:
Increased training and awareness among researchers
Mandatory checklist submission by journals
Development of extensions for specialized study types
Integration with digital tools and reporting platforms
These efforts will ensure that STROBE remains relevant in an evolving research landscape.
Conclusion
The STROBE Statement represents a major advancement in improving the reporting of observational studies in epidemiology. By providing a comprehensive and flexible framework, it addresses the challenges of transparency, bias, and methodological complexity inherent in observational research.
As the demand for real-world evidence continues to grow, the importance of well-reported observational studies cannot be overstated. STROBE ensures that such studies are communicated with clarity, rigor, and accountability, thereby strengthening the foundation of evidence-based practice.
For researchers, adherence to STROBE is both a professional responsibility and an opportunity to enhance the impact of their work. Its widespread adoption will continue to improve the quality, credibility, and utility of epidemiological research worldwide.
References
von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., Vandenbroucke, J. P., & STROBE Initiative. (2007). The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: Guidelines for reporting observational studies. PLoS Medicine, 4(10), e296.
Dehalwar, K., & Sharma, S. N. (2023). Fundamentals of research writing and uses of research methodologies. Edupedia Publications Pvt Ltd.
Dehalwar, K., & Sharma, S. N. (2024). Social injustice inflicted by spatial changes in vernacular settings: An analysis of published literature. ISVS e-journal, 11(9).
Jain, S., Dehalwar, K., & Sharma, S. N. (2024). Explanation of Delphi research method and expert opinion surveys. Think India, 27(4), 37-48.
Sharma, S. N., & Dehalwar, K. (2023). Ethnographic Study of Equity in Planning–Case of Slums of Ranchi. Available at SSRN 5400581.
Sharma, S. N. Research Onion: Understanding the Layers of Research Methodology. Track2Training
Sharma, S. N., & Dehalwar, K. (2025). A systematic literature review of pedestrian safety in urban transport systems. Journal of Road Safety, 36(4).
Daily writing prompt
What place in the world do you never want to visit? Why?
Babalola, O. I., Alao, O. G., & Akintola, M. A. (2026). Gender and Academic Resilience as predictors of Academic Stress among In-School Adolescents in Ibadan, Oyo state, Nigeria. International Journal of Research, 13(3), 53–71. https://doi.org/10.26643/ijr/5
The current study examined the extent to which gender and academic resilience are predictors of academic stress in adolescents pursuing secondary education in Ibadan, Oyo State, Nigeria. The objectives were to (i) determine the relationship between academic resilience and academic stress, (ii) determine the degree to which gender predicts academic stress, and (iii) determine gender-based differences in academic stress.
Academic stress is an over-riding problem of adolescents, and it is largely due to the pressure of examinations, academic workload, parental expectations and school demand. According to previous literature, academic resilience serves as a protective factor in stress response and that female students are more likely to report high levels of stress, although there is a wide range of empirical evidence across cultures and educational settings, especially in the Nigerian secondary school setting.
The survey design used was a correlational, descriptive survey. The sample consisted of 100 adolescents who were chosen through a simple random sampling method. Measurements were made using Academic Resilience Scale (ARS-30) and Academic Stress Inventory. Pearson product-moment correlations, multiple regression, and independent samples t-tests were used, with a significance level of 0.05.
The results of the analyses showed no statistically significant correlation between academic stress and academic resilience. Gender was also not a major predictor of academic stress. However, the independent samples t-test showed that the difference between the academic stress levels between genders was statistically significant, but only slightly with male students reporting slightly high academic stress levels compared to female students.
The results indicate that academic resilience may not have a pronounced effect on academic stress in the analysed group, and gender is not a very relevant predictor. These findings challenge existing assumptions about the universal buffer effect of resilience on stress and the reliability of gender-based differences in academic stress.
The following recommendations, in turn, are offered in the study: the delivery of individualised counselling services, adoption of balanced academic policies, the use of gender-neutral stress-management interventions, increased parental involvement, and additional research on contextual determinants of academic stress in adolescents.
Stress is a psychological activity that destablise the reasoning, thinking and behaviour of an individual. It is not age bound as it is experienced at every age group. During adolescence, academic stress has been a critical problem for adolescents at the secondary level of education. Academic stress is the transient experience of pressure, anxiety, or distress related to achieving academic goals (Pascoe et al. 2020). It is the anxiety and pressure associated with schooling and education (Sudiksha et al., 2024). It usually arises as a result of the imbalance between academic duties and social performance. According to Galloway, et al. (2013) explained that students who do heavy homework at home do not have enough time to socialize with their peers and might not have some life skills necessary to accomplish some essentials of life. Adolescents can experience academic stress when they are concerned about their capacity to cope with the academic demands (Lazarus and Folkman, 1984). It is very important to note that academic stress among adolescents can relatively be influenced by their relationship with teachers, the personality of teachers, pressure to excel in exams, the need to complete schoolwork within a given period, and the overall atmosphere of the school. Notwithstanding, participation in co-curricular activities such as debates, quizzes, speeches, music, dance, and arts can help alleviate stress and improve student performance. Whilst continuous tests, grades, the demand for success, and external expectations are the primary sources of stress for senior In-School Adolescents. Addressing academic stress among In-School Adolescents is important given its potentially serious effects on educational attainment and wellbeing. High levels of academic stress are associated with poorer examination performance, mental wellbeing, affect, sleep, confidence, motivation, and even physical health (Shankar and Park, 2016). In their study A Study on Academic Stress among Senior In-School Adolescents, Sudiksha et al (2024) found out that some of the causes of academic stress among adolescents are examination, test, assignment, parental expectations, competition with peers among others. The expectations of teachers and parents seem a source of burden to students. Hosseinkhani et al. (2019) opined that many parents had very high expectations from their children, such as being the best students in school and involving in all school competitions. Also, teachers display unprofessional and disrespectful behaviour by mocking students in front of others and use inappropriate terms in class. Reddy et al. (2018) further stated that parents and schools relentlessly instill the fear of failure in students which consequently affects their self-esteem and confidence. Sudiksha et al. (2024) further suggested that in helping adolescents managing academic stress, counseling service is crucial. Well, not just mere counseling but a resilient and holistic approach to counseling adolescents will help in managing academic stress among the adolescents. Some researches has revealed that female students are more prone to academic stress than their male counterparts (Calagus, 2011; Busari and Omoponle, 2018; Karaman et al., 2019). However, Dhakkal (2013) found that there is no relationship between gender and academic stress and could not pinpoint a significant gender difference in the level of academic stress. In some other studies, it was found that male students experience high level of academic stress and less coping mechanisms than the female students (Chen et al., 2009; Vijaya and Karunakaran, 2013; Rushmi, 2024).
Adolescents are not immune to stressful situations be it academic or non academic. There are many situations that may trigger stress among the adolescents which may include teasing, bullying, disagreements with peers or adults, competition with peers, assignments, tests and class presentations, transitioning from one school to another, etc. In any given stressful situations adolescents find themselves, it is very essential to build resilience.
The concept of Academic resilience is relative, as there has not been a firm or exact definition for its concept. The term Academic resilience has been well understood by various definitions from different perspectives. Academic resilience is not a simple task, as it involves a complex and broad concept which can usually be mixed up with other terms (Pina Lopez, 2015). It can be used to explain different terms, attitudes, and behaviors in the face of academic challenges (Fernandes de Araujo and Bermudez, 2015). It is even becoming harder for researchers to try to provide a standard and acceptable definition (Vinnacia et al., 2007). It emerges as a term within a lot of social sciences (Cichetti and Curtis, 2007) such as Psychology, Anthropology, Sociology and Education. In the 1980s, researchers often used the word “invulnerable” with the attention to describe those people who were able to maintain a positive aspect of view despite negative circumstances (Dimakos and Papakonstantinopoulou, 2012). Margalit (2004) points out that it is not a trait, but a process that involves internal and external factors. Masten (2011) defined it as the capability that students have in order to deal with important threats which can undermine their expected and normal progress and development in their academic journey. It is the capacity to adapt well when faced with adversity or stress in school related works. It helps students stave off the potential negative psychological effects of challenging experiences (Howley-Rouse, 2020). There are various essential abilities associated with academic resilience which are emotional regulation, impulse control, causal analysis, empathy, realistic optimism, self efficacy and opportunity seeking.
Resilient adolescents see academic or social stress in a positive way which enables them to increase their effort and develop new strategies towards achieving their goals. They tend to develop a growth mindset and show minimal problematic behaviours. This is because resilient people display the courage and motivation to face problems and difficulties accurately (rather than denying or exaggerating them) and maintain a positive mindset and the confidence to persevere (Howley-Rouse, 2020)
Academic resilience also contributes to productivity of adolescents as it fosters their beliefs that they have the ability to influence the external factors that contribute to their academic journey. Resilient students are high in autonomy and self-efficacy – they experience feelings of confidence and believe that things will work out. This sense of personal control gives adolescents an advantage in making changes when faced with difficulty and it can moderate the effect of adversity on wellbeing. (Howley-Rouse, 2020). Though fluctuates at different ages and developmental stages, and across different contexts, It is not a character trait that adolescents are born with, but is a developmental process mostly influenced by adolescents’ experiences and relationships. Importantly for Counselors, this means that academic resilience can be learned and developed among In-School studentss in Ibadan, Oyo state.
1.2 Statement of the Problem
The problem of academic stress has become an increasingly relevant concern among adolescents in secondary school, especially at a point where the academic demands and social expectations meet with developmental changes. Young people in Ibadan, Oyo State, are exposed to a lot of academic stressing pressure due to exams, constant tests, school work, parental pressure, teacher pressure, and peer pressure. These stressors are evidenced by a development phase characterised by emotional, cognitive and social changes making adolescents particularly vulnerable to stress-related problems that may interrupt school academic achievements, mental health, motivation, self-esteem and general adaptation to school life.
Although more and more attention is paid to academic stress and its negative outcomes, teenagers do not have a homogenic perception and response to stress. The evidence on gender differences in academic stress is not conclusive; other studies carried out in advance found contradicting evidence with some indicating that female students have a higher level of academic stress and male students have more academic stress and other studies found no significant difference in the academic stress between male and female students. This contradiction renders knowledge gap on the issue of how gender can be used as a predictor of academic stress particularly in the Nigerian context as well as among in-school adolescents in Ibadan.
At the same time, it has been found that academic resilience is one of the central protective factors that allow adolescents to overcome academic challenges and stressors. Adolescents who are resilient have better emotional control, are consistently optimistic, never give up in the face of adversity, and use adaptive coping strategies to fulfil their academic needs. However, even though the academic resilience has received a lot of literature coverage, there is still little empirical evidence on its predictive ability of academic stress in in-school adolescents in Ibadan, Oyo State, and its possible buffering role on academic pressure in this context.
The research gap lies in having an insufficient knowledge of the combined and separate predictive condition of gender and academic resilience with respect to academic stress among in-school adolescents in Ibadan. Without the presence of strong evidence that will outline these relationships, counsellors, educators, school administrators and policymakers will face challenges in formulating specific, effective and contextual relevant interventions to manage academic stress and promote the wellbeing of adolescents. This research gap needs to be considered in order to create comprehensive, resilience-oriented counselling and school-based interventions to help adolescents overcome academic pressures without compromising their psychological health and academic performance.
1.3 Purpose of the Study
The overall purpose of this study is to evaluate the extent to which gender and academic resilience predicts academic stress of married people living in the Abeokuta North Local Government, Ogun State, Nigeria. Specifically, the research attempts to:
Assess if there is any significant relationship between Academic Resilience and Academic Stress among In-school Adolescents in Ibadan, Oyo State.
Examine if gender significantly predict academic stress among In-School adolescents in Ibadan, Oyo State.
Evaluate any significant difference on Academic Stress among In-School Adolescents in Ibadan, Oyo State, based on Gender (Male and Female)?
1.4 Research Questions
Is there significant relationship between Academic Resilience and Academic Stress among In-School Adolescents in Ibadan, Oyo State?
Does gender significantly predict academic stress among In-School Adolescents in Ibadan, Oyo state?
Is there any significant difference on Academic Stress among In-School Adolescents in Ibadan, Oyo State, Nigeria based on Gender (Male and Female)?
2.1 Literature Review
Academic stress has been broadly noted to be one of the major psychological pressures facing students at all stages of learning. It refers to the psychological and emotional pressure, which accrue due to academic requirements such as exams, homework, time limits, workload, and the directions expected of them as per teachers and parents. When such demands surpass the ability of a student to manage them, stress will result and it can have a negative influence on academic performance, emotional health, and physical health. Academic stress has moved into the focus of growing academic interests especially in the face of greater competitiveness and performance orientation in modern education especially in adolescence and early adulthood when adaptive coping styles are still being developed.
The literature on gender disparity in academic stress is relatively large in number, and it is based on the assumption that male and female students perceive and react differently to stresses because of differences in socialisation processes, biological factors, and cultural demands. Several empirical studies document high levels of stress in the students (female). Graves and colleagues (2021) revealed that female students at college were more likely to report higher levels of moderate-to-high academic stress, and male students were more likely to report lower levels of academic stress, though. Simultaneously, Rubach et al. (2022) showed that academic stress had a more negative direct impact on mental-health outcomes in female students of universities, and stress was a predictor of emotional challenges among women more than among men. In the context of professional training, e.g. nursing and midwifery programmes, Alharbi et al. (2025) observed a greater acute and perceived stress among women; these findings suggest increased susceptibility to academic stress.
However, the data on the issue of gender differences in academic stress is not definitive. Other studies give insignificant or insignificant differences between male and female students. The study carried out by Souza-Lima et al. (2025) found that there were slight gender differences between pre-adolescent pupils, with girls feeling more stressed and bored at school than boys. More importantly, physical exercise reduced stress levels in both genders, implying that behavioural predictors might override gender effects. Similarly, Devchoudhury and Devasagayam (2022) did not find any statistically significant gender effect on general academic stress in the sample of undergraduate students, though female students had a slightly higher mean stress level. The inconsistencies mean that gender-related tendencies are not universal but depend on the context.
Gender differences in academic stress also vary as influenced by cultural context. Amoadu et al. (2024) studied high-school students in Ghana and indicated that they found no meaningful gender differences in academic resiliency or general wellbeing. Male and female students showed similar resilience and high wellbeing which highlights the moderating power of common cultural and educational milieu. The finding highlights the essential contribution of situational variables, such as educational systems, cultural norms, and social expectations, to the development of academic-stress experience.
Gender disparities also occur in the coping mechanisms adopted by students in order to manage academic stress. Emotion-oriented coping strategies are more popular among female students, who look to social support and emotions, compared to male students, who favour problem-oriented coping strategies. According to Graves et al. (2021), female students were more likely to use emotional expression and peer support. Additionally, Benitez-Agudelo et al. (2025) found that female students reported increased anxiety and their perception of stress more often but had more frequent better academic results, which indicates that adaptive coping can counteract stressful disadvantages.
Outside gender, academic resilience has become one of the most important constructs to explain how students react to academic stress. Academic resilience is the ability to adjust favourably and stay in academic activities in spite of difficulties like low grades or exam stress. Instead of an inborn characteristic, it is conceptualised as an active process that is influenced by interactions between personal and environmental factors and is not the same as academic buoyancy, which takes into account the daily struggles in academics (Martin and Marsh 2008).
The literature repeatedly emphasises the importance of protective factors in promoting academic resiliency. Resilience and academic success are predictable by individual factors such as self-efficacy, self-regulation, motivation, emotional intelligence and perseverance and additionally external reinforcements like parental encouragement and teacher emotional support. These associations are endorsed by meta-analytic and systematic reviews (Jowett et al., 2023; Kassis et al., 2024). Under-representation of gender in academic resilience seems to be minimal, and resilience indicates good wellbeing among both male and female students (Amoadu et al., 2024).
Overall, it has been shown that academic stress is common among students and that female students tend to report high instances of stress although this is diverse in terms of age and culture. However, academic resilience turns out to be a crucial adaptive process linked to reduced stress levels and beneficial educational achievement, which is why context-specific, resilience-driven interventions should be implemented to ensure the wellbeing of students.
2.2 Theoretical Frameworks
The theoretical frameworks present systematic statements of the way people go through and cope with stress in the academia and other taxing environments. One of the most conspicuous is the transactional model of stress and coping, the other one is the theory of conservation of resources that collectively provides complementary insights on a stress process, coping, and resilience. In this section, each framework is outlined in specific yet understandable terms that can be interpreted by a novice scholar, specifically touching on the key constructs and its application to academic stress.
2.2.1 Transactional Model of Stress and Coping
The conceptualisation of the transactional model highlights stress as a process in relation as it occurs or does between a person and the influence of the environment instead of an external force imposed or an intrinsic condition. Stress comes in when an individual evaluates a scenario as being burdensome or out of the resources they have thus putting their well-being at risk. The model revolves around two appraisal processes. Primary appraisal is an assessment of the nature of the significance of an event, that it is harm or loss, threat, challenge, or benign irrelevance. Secondary appraisal evaluates the options of coping and personal resources; on one hand, skills, support net or knowledge to depict manageability.
Coping is the process under consideration after the appraisal, referring to the behavioural and cognitive processes aimed at dealing with the stressor or controlling the attendant emotions. Problem-oriented coping is aimed at addressing the cause of the stress per se by engaging in such actions as planning, problem solving, or information seeking. The aim of emotion-oriented coping is to alter emotional reaction, e.g. through acceptance, positive reframing, social support, or evading. The model considers the stress process as dynamic and (iterative) and the feedback line through which reappraisal is pushed. Emotional conditions play a central role because positive emotions enable adaptive coping, and negative emotions may lead to the further development of the cycle of stress.
The framework takes the individual differences in responding to stress. As an example, a challenging test can be perceived as a threat by one student – it gives rise to anxiety and avoidance – whereas as a challenge by another, leading to practise and development. It sheds some light on the demand and resource availability perceptions and the impact they have on performance, mental health, and persistence in an academic setting. Lazarus and Folkman (1987) were the first to define the transactional model, the cognitive-relational character of stress and emotion. The fundamental role of the model has been supported by the literature that followed, with adaptations that add positive emotions towards coping (Biggs et al., 2017). There is empirical evidence both in the clinical and applied fields, including modified versions that are tested on psychosomatic patients (Oehrlein et al., 2021).
2.2.2 Conversation of Resources Theory
According to COR theory, people are compelled to obtain, maintain, defend, and develop resources to survive and ultimately achieve good health. The resources include material goods, commitment to relationships, or employment, personal factors, including self-efficacy and optimism, and such resources as time and physical strength. The main causes of stress are the loss of these resources (or a threat of the same) or a failed investment of resources in creating sufficient returns.
The most influential ones are the primacy of loss, in which loss of resources has a stronger psychological effect compared to the gain with the same magnitude. Individuals spend resources in order to avoid or reduce the losses that might trigger the gain or loss spirals by accumulating or rapidly depleting resource supplies. The resource-rich individuals show more resilience to threats and are placed in better positions to achieve beneficial results, and poor individuals suffer the increased vulnerability of resource-poor people. The resources have a tendency to form caravans, a network of resources and move through passageways, environmental facilitator or hindrances that mediate exchange of resources.
In the academic context, COR theory explains how stressors use up resources; including time and self-esteem due to repeated failures, and hence become spirals that lead to impaired performance or health. Resource development by assistance or skill training has the potential to cushion stress and promote strength. The theory is applicable to chronic and traumatic stress, and it has recognised that resources have to be managed as a form of adaptive functioning. Hobfoll proposed COR as a resource-based substitute of stress models based on demand (1989). Subsequent extensions used the model in the context of organisations and health, and integrated realistic dynamics of resources and outcomes (Hobfoll et al., 2018). Overall surveys emphasise its multilevel format to interpret reaction to adversity (Hobfoll et al., 2017).
To conclude, perceptual appraisals and adaptive coping strategies are predicted by the transactional model but conservation of resources theory revolves around the loss and protection of resources. The two taken together form a strong base of examining academic stress and resilience whereby perceptions of appraisals draw demand and resource management effects have long-term adaptation. The combination of these frameworks can guide interventions that would make more accurate appraisals, bolster coping, and lead to accrual of resources in learning settings.
3.1 Methodology
3.2 Research Design
This study used the descriptive survey design of correlation type. This research design was adopted because the researcher will not manipulate the variables of interest in the study.
3.3 Population
The target population for this study consists of all In-School Adolescents in Oyo State, Nigeria.
3.4 Sample and Sampling Technique
The sample of this study consists of one hundred (100) In-School Adolescents in Ibadan, Oyo State, Nigeria through simple random sampling technique. This technique was adopted because the target participants have homogeneous characteristics and they have equal chances of being selected for the study. The sample includes males and female In-School Adolescents in Oyo State, Nigeria state.
3.5 Research Instrument
Questionnaire was used as the instrument of collecting data.
3.5.1 Academic Resilience scale
The Academic Resilience of In-School Adolescents in Ibadan, Oyo state shall be assessed through the Academic Resilience Scale (ARS-30) developed by Simon Cassidy (2016). Respondents assess their level of Academic Resilience on 8 topics using a 4-point rating system, ranging from strongly agree (4) to strongly disagree (1). The internal consistency reliability coefficients, as measured by Cronbach’s alpha was 0.90.
3.5.2 Academic Stress scale
The Academic stress of In-School Adolescents in Ibadan, Oyo state was assessed using the Academic Stress Inventory by Lin and Chen (2009) because it covers study habits, test anxiety, peer comparison and parents expectations. The internal consistency reliability coefficients, as measured by Cronbach’s alpha was 0.90.
3.6 Method of Data Analysis
The data collected was analyzed through the use of descriptive statistics which include mean, standard deviation and frequency and using Pearson Product Moment Correlation (PPMC) and multiple regression analysis to give guide on the research questions at 0.05 level of significant.
4.1 Results
RQ1: Is there significant relationship between Academic Resilience and Academic Stress among In-School Adolescents in Ibadan, Oyo state?
Table 1: Summary of correlation matrix showing the relationship between the study variables
Table 1 presents correlation analysis between academic resilience and academic stress in in-school adolescents in the Ibadan, Oyo State. The findings indicate a highly insignificant positive relationship (r = 0.048, p < 0.05). The coefficient is not very low, which means that the practical relationship between the two variables is insignificant; however, the coefficient is statistically significant, and the sample size probably led to that. In line with this, academic resilience appears to correlate with academic stress in this group of adolescents very weakly, indicating that increased academic resilience does not significantly lower or modify the perceived level of academic stress among such adolescents.
This finding is contrary to most of the literature that has been done, which often find a moderate negative relationship between resilience (or academic resilience) and stress (or academic stress). Indicatively, meta-analytic research involving college students reveals a moderate and negative correlation of significance (r = -0.29), which means that the stronger the resilience, the less stressful one is (Li et al., 2024). On the same note, a study conducted among students in universities indicates that perceived stress is a predictor of a lack of academic resilience, and resilience is a protective mechanism against stress-related outcomes (Alzoubi et al., 2025). Past studies demonstrated that resilience reduces the adverse impact of academic pressure on the psychological adaptation, mental well-being, and academic success among adolescents (Kim and Lee, 2023; Wang, 2024).
The almost negligible correlation here could be due to the contextual issues of in-school teens in Ibadan, including cultural bias, or differences in the measures, or the emphasis on the acute, and not the chronic stressors. It correlates with non-significant or weak correlations of links in some groups of students occasionally (Huwae, 2022). These discrepancies highlight the fact that additional studies on the topic are required to investigate moderators (age, cultural situation, or particular dimensions of resilience) in Nigerian adolescents.
RQ2: Does gender significantly predict academic stress among In-School Adolescents in Ibadan, Oyo state among In-School Adolescents in Ibadan, Oyo state?
Table 2: Multiple Regression Analysis on Academic Stress
The finding is in line with a number of studies that indicate that there are no significant gender differences in academic stress mainly in adolescent or secondary school environment. Indicatively, studies conducted on secondary school students have tended to have equal levels of stress in both genders with any differences being cultural, measurement, or contextual (Devchoudhury and Devasagayam, 2022). Similarly, gender has been reported as non-significant in some studies in Nigerian university and more general groups of adolescents when other predictors, like age or course of study, are incorporated, albeit having some mixed patterns (Fadipe et al., 2024).
However, in contrast, there is more evidence that indicates that gender is a valid factor; the female students tend to report greater academic stress. The meta-analyses and empirical studies have consistently shown that females have higher stress levels caused by societal expectations, differences in coping, or higher sensitivity to academic requirements (Graves et al., 2021; Li et al., 2024). Certain regression models have found that there is a notable gender impact (β = 0.177, p < 0.05) and females are more vulnerable (Fadipe et al., 2024).
This is because the absence of a strong gender influence in the study could be due to the nature of the sample. In Ibadan, adolescent in-school population can be subjected to acute stressors like exams that overshadow the chronic ones, or, the culture can even even the genders in terms of experiences. The above factors indicate the significance of context in the interpretation of the role of gender in academic stress.
RQ3: Is there difference on Academic stress among In-School students in Ibadan, Oyo State based on gender (Male and female)?
Table 3: Summary Table of t-test for independent measures showing comparison of Academic stress based on gender
Gender
N
Mean
SD
Df
T
Sig
Male
61
21.16
3.37
Academic stress
94
.352
.549
Female
39
20.14
3.54
From Table 3, the result showed that there was significant difference in Academic stress based on gender (male and female) among In-School students in Ibadan, Oyo State (T(94)= .352, p<.05). From the table above, a mean score of 21.16 for male participants while female participants had a mean score of 20.14 with a mean difference of 1.02 and statistically significant. This implies that the academic stress among In-School students students in Ibadan, Oyo State based on gender (Male and female) is difference. Male experience more of academic stress than the female.
The significance of this finding is that it contradicts the generally observed trend in previous studies, where the female students tend to report greater academic stress. The majority of studies on adolescents and secondary-school students indicate that girls can be more stressed, with a higher tendency to emotional sensitivity, an increased perception of workload, more social and performance expectations, and a different coping behaviour (Graves et al., 2021; Li et al., 2024). Most empirical studies, such as meta-analyses and extensive surveys, tend to show small to moderate differences, which are characterised by women having higher levels of stress (Souza-Lima et al., 2025). According to post-COVID-19 studies, female students experienced more stress and worse emotional adjustment when academic disruptions occurred (Sharma et al., 2022).
Nevertheless, an increasing body of literature confirms our observation and indicates that male adolescents and secondary-school students are also more likely to report higher levels of academic stress. In South Asian countries like India and Nepal, male students experience higher scales of academic stress, grade anxiety and self-expectations. It is postulated that these differences are due to cultural norms of male success, performance pressure imposed socially, and unique goal-setting and role socialisation (Adhikari et al., 2025; Frontiers in Public Health, 2025). On the other hand, the case in the Sub-Saharan Africa, especially in Nigeria is inconclusive. Some studies indicate no strong gender variations whereas others note tendencies that seem to be dictated by local culture, school types, or testing tools (Amoadu et al., 2024; other studies in Nigeria).
The small yet meaningful outcome of greater male stress in our sample puts into perspective this contextual image. The pattern may be attributed to factors such as high pressure during exams, high cultural expectation of male success in schools and measurement instruments that identify particular stressors in Ibadan. The difference is low (M = 1.02) and t-value is low, hence the effect-size is small and to be handled with care. These findings should be validated by conducting larger and more heterogeneous studies.
In total, these findings reveal that context and culture determine gender differences in academic stress. They further emphasise that gender-sensitive and context-specific interventions are required to support male adolescents in Nigerian schools and not to presuppose that all students are equally vulnerable as in the whole world.
4.1 Discussion
The findings of this study point to the fact that academic resilience is not considerably correlated with academic stress in in-school adolescents in Ibadan, Oyo State. This result is in contrast to the current literature assumed to suggest that academic resilience is a protective factor that enables successful coping with academic stress (Howley-, Rouse, 2020; Masten, 2011). The immediate conclusion is that the recovery skills in the event of academic misfortune do not necessarily go together with the reduced academic stress experiences as observed in the present setting. However, the finding agrees with Dhakkal (2013), who indicated that academic resilience showed a non statistically significant relationship with academic stress. The first reason could be that the presence of adaptive resources does not significantly reduce academic pressure and demands on resilient students when multiple stressors remain chronic and endemic or prevalent in a system, and as is the case with examination-based learning in school.
Besides, the evidence indicates that gender is not a statistically significant predictor of academic stress among respondents. This finding matches Dhakkal (2013), though it is opposite to a number of studies that indicate high stress levels among female students, which is often explained by high emotional sensitivity, parental demands and pressures in society (Busari and Omoponle, 2018; Karaman et al., 2019). The lack of any visible gender effect of the current study suggests that academic stress might be presented in a widely similar way in both male and female adolescents in Ibadan, which could be because of common school setting, similar academic demands, and similar exposures to stress factors in school.
The independent t -test, however, demonstrated a slightly higher average level of academic stress in the males in comparison to their female counterparts. The difference is minimal, whereas it is contrasted to the overwhelming results of the literature which tend to document higher levels of stress in female students (Reddy et al., 2018). Such a trend can be related to contextual issues, including culture-based expectations on male students to perform on the academic level, the pressure to live to societal and or family expectations, or unequal perceptions and reporting of stress. However, due to the small scale of the difference, it should be considered with caution, and a new study is advised.
Overall, the discussion highlights that the popular beliefs about predictors of academic stress, including academic resilience and gender, might not be consistent across the context. The results also point out the relevance of considering environmental, cultural, and systemic factors in the studies of academic stress among adolescents.
4.2 Conclusion
This paper concludes that academic resilience is not a significant predictor of academic stress in in-school adolescents in Ibadan, Oyo state. Similarly, the gender does not have noticeable effects on the academic stress levels among this group of people. The findings, therefore, dispute existing hypotheses that academic resilience is an inherent buffer to academic stress and that there is gender difference in stress everywhere. Since the issue of academic stress continues to attract the attention of in-school adolescents, it is clear that additional factors, including parental expectations, the school climate, instructional practises, and personal strategies of coping, might have a stronger impact on the stress experiences of students.
4.3 Recommendations
Counselling and Support Services: Schools should support counselling services that help the in-school adolescents develop personalised, pragmatic stress management strategies, as opposed to using resilience-building interventions.
Whole Academic Policies: School administrators are expected to champion equitable academic policies that reduce overworking and integrate extra-curricular activities that enhance psychological health of the students.
Gender-Neutral Stress Management Interventions: Since there was no significant gender predicted academic stress, stress management programmes must be designed on an inclusive basis, which is able to help all students without favouring certain gender categories.
Parental Involvement: The parents must also be informed about the effects of academic stress and made to be supportive of the home environment where encouragement and understanding are promoted instead of the undue pressure.
Future research: Future research ought to examine other causes of academic stress, such as socioeconomic status, type of school, peer pressure and family life to provide a more complete picture of the factors that contribute to the occurrence of academic stress among adolescent students in Ibadan.
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Hiếu, P. T. (2026). Work Motivation of University Lecturers: A Narrative Review and Policy-Oriented Synthesis. International Journal of Research, 13(1), 494–507. https://doi.org/10.26643/ijr/2026/24
Phí Thị Hiếu
Associate Professor, Thai Nguyen University of Education, Thai Nguyen, Vietnam
Abstract
This article presents a narrative review of selected literature on work motivation among university lecturers, aiming to synthesize key theoretical perspectives and recurring empirical themes. Drawing on established motivational frameworks, particularly self-determination theory and two-factor theory, the review examines how intrinsic and extrinsic factors interact to influence lecturers’ engagement, job satisfaction, and organizational commitment.
The reviewed literature suggests that intrinsic motivation is frequently identified as an important factor in sustaining lecturers’ long-term engagement and professional dedication. These intrinsic factors are strongly supported by autonomy, perceived competence, collegial relationships, and opportunities for meaningful teaching and research. At the same time, extrinsic conditions, including salary, workload, promotion systems, and employment stability, function as essential foundational factors that shape lecturers’ overall job satisfaction and retention, even if they do not directly generate intrinsic motivation.
The review further highlights the importance of organizational culture, leadership practices, and governance structures in shaping motivational experiences. Several studies suggest that managerialist and performance-driven environments may, in some contexts, be associated with reduced perceptions of autonomy and intrinsic motivation among lecturers. In addition, contemporary higher education reforms emphasizing accountability and performance metrics are shown to have mixed motivational effects, depending on how they are implemented and perceived by academic staff. Overall, the review underscores that lecturers’ work motivation is a multidimensional and context-dependent phenomenon with significant implications for teaching quality, research productivity, and the sustainability of higher education systems. The reviewed literature points to the potential value of higher education policies that take lecturers’ psychological needs into account when designing governance and evaluation mechanisms.
Keywords
Work motivation, academic motivation, university lecturers, higher education
Introduction
Work motivation of university lecturers has been widely recognized as a critical factor influencing the quality of higher education, institutional effectiveness, and the sustainable development of academic systems worldwide. University lecturers play a central role not only in teaching and research but also in curriculum development, academic governance, and community engagement. As higher education systems face increasing pressures related to globalization, digital transformation, accountability, and performance-based evaluation, understanding the factors that motivate lecturers to perform effectively has become an important concern for researchers, educational leaders, and policymakers.
In the context of higher education, work motivation refers to the internal and external forces that initiate, direct, and sustain lecturers’ professional behaviors, including teaching commitment, research productivity, innovation, and engagement with institutional goals. Motivated lecturers are more likely to demonstrate higher levels of job satisfaction, instructional quality, and professional dedication, which in turn positively affect student learning outcomes and institutional reputation. Conversely, low levels of work motivation among academic staff may lead to reduced teaching effectiveness, diminished research output, burnout, and higher turnover intentions.
The literature on work motivation of university lecturers draws on established motivational theories such as Maslow’s hierarchy of needs, Herzberg’s two-factor theory, self-determination theory, and expectancy–value theory. These theoretical frameworks have been used to explain how intrinsic factors (e.g., passion for teaching, academic autonomy, professional growth) and extrinsic factors (e.g., salary, promotion opportunities, working conditions, leadership support) interact to shape lecturers’ motivational orientations. In academic settings, intrinsic motivation is often emphasized due to the intellectual and autonomous nature of academic work, yet extrinsic conditions remain crucial for sustaining long-term commitment and performance.
A growing body of empirical studies across different national contexts has explored how lecturers’ work motivation may be influenced by a combination of individual, organizational, and contextual factors. These include institutional policies, workload distribution, research support, evaluation systems, leadership styles, collegial relationships, and opportunities for professional development. In recent years, changes in higher education governance—such as increased performance measurement, publication pressure, and competition for research funding—have significantly reshaped lecturers’ motivational experiences. While some lecturers may feel motivated by clear performance incentives and recognition, others may experience increased stress and reduced autonomy.
In developing and transitional higher education contexts, including Vietnam and other Southeast Asian countries, research has highlighted additional challenges related to limited resources, heavy teaching loads, and disparities in career advancement opportunities. These contextual factors may intensify the importance of supportive leadership, fair evaluation systems, and meaningful professional development in sustaining lecturers’ motivation. However, despite a growing body of research, existing findings remain fragmented, and systematic syntheses focusing specifically on university lecturers’ work motivation are still limited.
Therefore, a comprehensive literature review on the work motivation of university lecturers is necessary to consolidate existing evidence, identify dominant research themes, and clarify theoretical and empirical trends in this field. By synthesizing prior studies, such a review can contribute to a deeper understanding of how motivational factors operate within higher education and provide valuable insights for institutional policy and academic management. Ultimately, enhancing lecturers’ work motivation is essential for improving educational quality, fostering innovation, and ensuring the long-term sustainability of higher education institutions.
Materials and Methods
This study employed a narrative literature review approach to critically synthesize influential theoretical and empirical studies relevant to lecturers’ work motivation. The literature was collected primarily from peer-reviewed academic journals, scholarly books, and reputable academic reports focusing on higher education, educational psychology, and human resource management in academic settings. The review included both international and regional studies, with particular attention to empirical research and theoretical frameworks addressing intrinsic and extrinsic motivation, job satisfaction, organizational commitment, and professional engagement among university lecturers.
The selection of literature was guided by the following inclusion criteria: (1) studies explicitly examining work motivation, job motivation, or closely related constructs such as job satisfaction and organizational commitment among university or college lecturers; (2) research grounded in established motivational theories, including self-determination theory and two-factor theory; (3) studies conducted in higher education contexts; and (4) publications considered relevant to contemporary higher education systems and policy environments. Both qualitative and quantitative studies were included to capture a broad range of methodological perspectives.
After the identification and screening process, the selected publications were analyzed using a thematic synthesis approach. The analysis focused on identifying recurring themes and patterns related to motivational factors influencing university lecturers. Specifically, the findings were organized around key thematic dimensions, including intrinsic motivational factors such as professional autonomy and academic identity, extrinsic motivational factors such as salary, promotion, and working conditions, and institutional and policy-related influences such as leadership practices, performance evaluation systems, and professional development opportunities.
The synthesis process involved comparing findings across studies to identify commonalities and divergences, as well as examining how contextual factors such as national higher education policies and institutional characteristics shape lecturers’ motivation. Through this thematic organization, the review aimed to provide an integrated and evidence-based understanding of work motivation among university lecturers, thereby informing future research directions and policy development in higher education.
Research Results
Based on the literature selection criteria and the methodological approach outlined in the Materials and Methods section, the reviewed studies provide a comprehensive and multi-layered picture of work motivation among university lecturers. Across diverse higher education systems and institutional contexts, lecturers’ motivation emerges as a complex construct influenced by individual psychological needs, organizational conditions, and broader policy environments. Drawing primarily on self-determination theory and two-factor theory, the findings are synthesized into interrelated thematic domains that collectively explain how and why lecturers experience varying levels of motivation in their academic work.
1. Theoretical grounding of lecturers’ work motivation in higher education research
A dominant characteristic of the reviewed literature is its strong grounding in established motivational theories. Self-determination theory is widely used to conceptualize lecturers’ work motivation as a continuum ranging from intrinsic motivation to different forms of extrinsic motivation. Many studies drawing on self-determination theory emphasize autonomy as a key motivational factor in academic work, although the strength of this relationship appears to vary across institutional contexts. Empirical studies demonstrate that autonomy, understood as control over teaching content, research agendas, and professional decision-making, is a central motivational driver for university lecturers. Research grounded in self-determination theory shows that when lecturers perceive high levels of autonomy, they report stronger intrinsic motivation, higher job satisfaction, and greater commitment to their institutions. Conversely, environments characterized by rigid managerial control or excessive administrative regulation tend to frustrate autonomy needs, resulting in diminished motivation.
Two-factor theory provides a complementary perspective by distinguishing between intrinsic motivators related to the nature of academic work itself and extrinsic or hygiene factors associated with employment conditions. The reviewed studies consistently support Herzberg’s distinction, showing that intrinsic factors such as intellectual challenge, recognition, and opportunities for academic achievement play a crucial role in sustaining long-term motivation. At the same time, inadequate hygiene factors—such as low salary, job insecurity, or heavy workloads—do not necessarily motivate when present but can significantly demotivate when absent.
Qualitative research deepens these theoretical insights by illustrating how lecturers interpret motivation through their professional identities. Interviews and narrative studies reveal that many lecturers view teaching and research not merely as occupational tasks but as vocations aligned with personal values and social responsibilities. These findings reinforce theoretical models that conceptualize academic motivation as value-driven and meaning-oriented rather than purely instrumental.
2. Intrinsic motivational factors in academic work
Across the reviewed literature, intrinsic motivation consistently emerges as a central component of lecturers’ engagement and persistence in higher education. Studies examining intrinsic motivation highlight factors such as enjoyment of teaching, intellectual curiosity, commitment to knowledge creation, and satisfaction derived from mentoring students. These intrinsic drivers are frequently identified as more stable and enduring than extrinsic incentives.
Research grounded in self-determination theory demonstrates that intrinsic motivation among lecturers is strongly associated with perceived competence. Lecturers who feel capable of delivering high-quality teaching, conducting meaningful research, and contributing to academic communities report higher levels of motivation and professional fulfillment. Opportunities for professional development, research collaboration, and academic recognition are therefore frequently cited as key conditions supporting intrinsic motivation.
Several qualitative studies further show that intrinsic motivation is closely linked to lecturers’ perceptions of the social value of their work. Lecturers often describe motivation in terms of contributing to student development, advancing societal knowledge, or addressing local and global challenges. This sense of purpose reinforces sustained engagement, even in contexts where extrinsic rewards are limited.
However, the literature also indicates that intrinsic motivation is vulnerable to erosion when institutional conditions undermine autonomy or overload lecturers with administrative tasks. Studies report that increasing bureaucratic demands and performance pressures can reduce the time and energy available for intrinsically rewarding activities such as teaching innovation and research, thereby weakening motivation over time.
3. Extrinsic motivational factors, job satisfaction, and organizational commitment
In addition to intrinsic factors, extrinsic motivators play a significant role in shaping lecturers’ work motivation, particularly through their influence on job satisfaction and organizational commitment. Quantitative studies frequently examine salary, promotion systems, workload distribution, and employment stability as key predictors of motivation-related outcomes.
The reviewed literature indicates that fair and transparent reward systems contribute positively to lecturers’ job satisfaction. While salary alone is rarely identified as a primary motivator, inadequate compensation relative to workload and expectations is consistently associated with dissatisfaction and reduced commitment. Promotion opportunities and recognition of academic achievements are similarly important, particularly for early- and mid-career lecturers seeking career progression.
Organizational commitment emerges as a closely related construct in many studies. Lecturers who perceive institutional support, fairness, and recognition tend to report stronger affective commitment and a greater willingness to invest effort in teaching and research. Conversely, perceptions of inequity, opaque evaluation criteria, or unstable employment conditions are associated with lower commitment and higher turnover intentions.
Importantly, the literature emphasizes that extrinsic factors interact with intrinsic motivation rather than replacing it. Supportive extrinsic conditions can create an environment in which intrinsic motivation flourishes, whereas poor working conditions can undermine even highly motivated lecturers. This interaction aligns with theoretical arguments that motivation in academic work is best understood as a combination of internal drives and external supports.
4. Organizational culture, leadership, and institutional governance
A substantial portion of the reviewed studies situates lecturers’ motivation within organizational contexts, highlighting the role of institutional culture, leadership styles, and governance structures. Research consistently demonstrates that collegial and participatory organizational cultures are positively associated with higher levels of motivation and job satisfaction among lecturers.
Studies examining leadership practices find that supportive and transformational leadership styles foster motivation by recognizing academic contributions, encouraging professional autonomy, and facilitating collaboration. Leaders who engage lecturers in decision-making processes contribute to a sense of ownership and shared responsibility, which enhances both intrinsic motivation and organizational commitment.
In contrast, studies report that managerialist governance models emphasizing performance metrics, accountability, and competition may negatively affect lecturers’ motivation. When evaluation systems are perceived as overly quantitative or misaligned with academic values, lecturers often experience increased stress and reduced intrinsic motivation. These findings suggest that governance structures play a critical mediating role between policy demands and individual motivational experiences.
Qualitative evidence further reveals that organizational culture influences how lecturers interpret institutional expectations. In supportive environments, lecturers are more likely to view performance requirements as opportunities for growth, whereas in unsupportive contexts, similar requirements may be perceived as controlling or demotivating.
5. Policy environments and systemic influences on lecturers’ motivation
Beyond organizational factors, the reviewed literature highlights the significant impact of national and institutional policy environments on lecturers’ motivation. Higher education reforms related to funding, accountability, and labor markets are frequently examined in relation to academic work motivation.
Studies document that performance-based funding models and publication-driven evaluation systems can alter motivational orientations among lecturers. While some lecturers respond positively to performance incentives, others experience heightened pressure and diminished intrinsic motivation, particularly when evaluation criteria prioritize quantity over quality.
Job insecurity emerges as a recurring theme in policy-related research. Studies focusing on contract-based employment and casualization report negative effects on motivation, job satisfaction, and long-term commitment. Lecturers facing uncertain employment conditions often adopt extrinsically driven motivational strategies focused on short-term survival rather than long-term academic development.
At the same time, policy environments that support academic freedom, stable employment, and investment in professional development are associated with more sustainable motivational patterns. These findings underscore the importance of aligning higher education policies with motivational principles that support both individual well-being and institutional quality.
6. Variations in motivation across career stages and institutional contexts
The reviewed studies reveal systematic variations in work motivation across career stages, institutional types, and national contexts. Early-career lecturers often emphasize extrinsic concerns such as job security, mentorship, and promotion opportunities, reflecting their transitional position within academic labor markets.
Mid-career lecturers tend to focus on balancing teaching, research, and service demands, with motivation shaped by workload management and recognition of achievements. Senior academics, in contrast, frequently prioritize autonomy, leadership roles, and opportunities to influence institutional directions.
Cross-institutional comparisons indicate that resource availability and institutional mission significantly shape motivational experiences. Research-intensive universities often provide stronger research-related motivators, while teaching-oriented institutions may emphasize pedagogical engagement. Cross-national studies further show that motivational patterns are influenced by cultural norms, policy stability, and economic conditions.
These variations highlight the importance of contextualized approaches to understanding and supporting lecturers’ motivation rather than relying on one-size-fits-all strategies.
7. Consequences of lecturers’ work motivation for individual and institutional outcomes
Finally, the literature consistently documents the consequences of lecturers’ motivation for both individual performance and institutional effectiveness. High levels of motivation are associated with greater teaching quality, research productivity, innovation in pedagogy, and engagement in academic service.
Conversely, low motivation is linked to burnout, emotional exhaustion, and intentions to leave the profession. Several studies suggest that sustained motivational decline can undermine institutional capacity by reducing staff retention and weakening academic communities.
By integrating findings across theoretical frameworks, methodologies, and contexts, the reviewed literature demonstrates that lecturers’ work motivation is a critical mechanism through which organizational practices and policy decisions influence higher education quality.
Discussion
The present review highlights that lecturers’ work motivation in higher education is not solely an individual psychological phenomenon but is deeply embedded in institutional practices and policy frameworks. By synthesizing findings across studies grounded in self-determination theory and two-factor theory, this discussion connects each major result theme to implications for higher education policy, governance, and management.
First, the strong theoretical grounding of lecturers’ motivation in self-determination theory and two-factor theory has important policy implications. The consistent emphasis on autonomy, competence, and relatedness suggests that higher education policies should move beyond narrow performance management approaches and explicitly support lecturers’ psychological needs. Policies that increase administrative control, impose rigid accountability mechanisms, or standardize academic work without regard for disciplinary diversity may unintentionally undermine intrinsic motivation. From a policy perspective, this implies that national and institutional frameworks should preserve academic freedom, allow flexibility in teaching and research design, and recognize the professional judgment of lecturers as a core principle of quality assurance in higher education.
Second, the prominence of intrinsic motivational factors such as intellectual engagement, enjoyment of teaching, and commitment to knowledge creation underscores the need for policies that protect the core academic mission. The results indicate that lecturers are most motivated when they can focus on meaningful teaching and research activities rather than excessive administrative tasks. Higher education policies that overload lecturers with reporting requirements or prioritize short-term output indicators risk eroding intrinsic motivation over time. Therefore, policy reforms should aim to streamline administrative processes, reduce unnecessary bureaucratic burdens, and create institutional conditions that allow lecturers to invest time and energy in pedagogically and intellectually rewarding work.
Third, findings related to extrinsic motivational factors, job satisfaction, and organizational commitment highlight the importance of fair and transparent employment policies. While salary and material rewards alone do not guarantee high motivation, inadequate compensation, unclear promotion pathways, and insecure employment conditions consistently undermine lecturers’ commitment. This has direct implications for higher education labor policies, particularly in systems experiencing increasing casualization and contract-based employment. Policies that ensure reasonable workload allocation, transparent evaluation criteria, and stable career pathways are essential not only for staff well-being but also for institutional sustainability and educational quality.
Fourth, the role of organizational culture, leadership, and governance revealed in the results points to the significance of institutional-level policy implementation. Even well-designed national policies may fail to support motivation if institutional leadership adopts overly managerial or control-oriented practices. The reviewed studies suggest that participatory governance, collegial decision-making, and supportive leadership styles are critical for sustaining lecturers’ motivation. From a policy perspective, this implies that leadership development and governance reform should be integral components of higher education policy, with explicit attention to fostering trust, recognition, and professional respect within academic institutions.
Fifth, the influence of broader policy environments on lecturers’ motivation highlights tensions between accountability-driven reforms and academic values. Performance-based funding, publication pressure, and metric-oriented evaluation systems may incentivize productivity but can also generate stress and reduce intrinsic motivation, particularly when quality and context are overlooked. These findings suggest that higher education policies should adopt more balanced evaluation frameworks that combine quantitative indicators with qualitative assessments of teaching, research, and service. Policymakers should be cautious about relying exclusively on competitive performance metrics and consider their long-term motivational and professional consequences.
Sixth, variations in motivation across career stages and institutional contexts indicate that uniform policy solutions are unlikely to be effective. Early-career lecturers, for example, are particularly sensitive to job security and mentorship opportunities, while senior academics value autonomy and opportunities for leadership. Higher education policies should therefore be differentiated and flexible, providing targeted support for different career stages and institutional missions. Such differentiation can help align policy interventions with lecturers’ evolving motivational needs and professional trajectories.
Finally, the documented consequences of lecturers’ motivation for teaching quality, research productivity, and staff retention emphasize the strategic importance of motivation as a policy concern. Low motivation and burnout are not merely individual problems but systemic risks that can undermine institutional capacity and educational outcomes. From a policy standpoint, investing in supportive working conditions, professional development, and psychologically informed management practices should be viewed as long-term investments in higher education quality rather than short-term costs.
Overall, this discussion reinforces the idea that lecturers’ work motivation is a critical link between higher education policy and educational outcomes. Policies that align with established motivational theories and respect the professional nature of academic work are more likely to foster sustained engagement, innovation, and commitment among university lecturers. Conversely, policies that neglect psychological and organizational dimensions of motivation risk weakening the very human resources on which higher education systems depend.
Conclusion and Policy Implications
Conclusion
This review highlights lecturers’ work motivation as an important analytical lens for understanding how organizational practices and policy environments may influence academic engagement and institutional outcomes.
Overall, the reviewed literature indicates that intrinsic motivation—such as enjoyment of teaching, intellectual fulfillment, and commitment to academic values—plays a central role in sustaining lecturers’ engagement and professional dedication. These intrinsic factors are strongly influenced by lecturers’ perceptions of autonomy, competence, and relatedness, as well as by opportunities for meaningful teaching, research, and academic contribution. At the same time, extrinsic factors, including salary, promotion systems, workload, and employment stability, remain essential baseline conditions. While these factors may not directly generate high levels of intrinsic motivation, their absence consistently undermines job satisfaction, organizational commitment, and long-term retention.
The review also highlights the critical role of organizational culture and leadership in shaping lecturers’ motivational experiences. Supportive leadership, participatory governance, and collegial decision-making are associated with higher motivation and stronger professional commitment, whereas overly managerial, metric-driven, or control-oriented environments tend to weaken intrinsic motivation and increase stress and disengagement. These findings underscore that lecturers’ motivation cannot be understood or addressed in isolation from broader institutional practices and governance structures.
Furthermore, the reviewed studies suggest that contemporary higher education reforms—particularly those emphasizing accountability, performance measurement, and competition—have ambiguous effects on lecturers’ motivation. While such reforms may enhance productivity in the short term, they risk narrowing academic work, intensifying pressure, and diminishing intrinsic motivation if not carefully balanced with academic values and professional autonomy. The evidence also indicates that motivational needs vary across career stages and institutional contexts, suggesting that uniform policy approaches are unlikely to be effective.
Taken together, the findings confirm that lecturers’ work motivation is not merely an individual concern but a systemic issue with direct implications for teaching quality, research productivity, institutional stability, and the overall effectiveness of higher education systems.
Policy Implications
The findings of this review have several important implications for higher education policy and institutional practice.
First, higher education policies should explicitly recognize lecturers’ motivation as a central component of educational quality and institutional sustainability. Policymakers should move beyond narrowly defined performance indicators and incorporate psychological and organizational dimensions into policy design. This includes protecting academic autonomy, supporting intellectual freedom, and ensuring that accountability mechanisms do not undermine intrinsic motivation.
Second, employment and human resource policies in higher education should prioritize fairness, transparency, and stability. Clear promotion criteria, reasonable workload allocation, and secure career pathways are essential for sustaining lecturers’ job satisfaction and organizational commitment. In contexts where short-term contracts and performance-based employment are expanding, policymakers should carefully assess the long-term motivational and professional consequences of such practices.
Third, institutional governance and leadership development should be a policy priority. Universities should be encouraged to adopt participatory governance models that involve lecturers in decision-making processes affecting teaching, research, and working conditions. Leadership training programs should emphasize supportive, trust-based management approaches that align institutional goals with lecturers’ professional values.
Fourth, policy frameworks should support differentiated and flexible approaches to motivation across career stages. Early-career lecturers may benefit from mentorship, job security, and clear developmental pathways, while mid- and late-career academics may value autonomy, recognition, and leadership opportunities. Policies that acknowledge these differences are more likely to foster sustained motivation across the academic lifespan.
Finally, future higher education policies should adopt a long-term perspective on academic work. Investing in lecturers’ motivation—through supportive working environments, professional development opportunities, and psychologically informed management practices—should be viewed as a strategic investment rather than a cost. Such investments are essential for maintaining high-quality teaching, advancing research, and ensuring the resilience and adaptability of higher education systems in an increasingly complex policy environment.
In conclusion, this review underscores that effective higher education policy must be grounded not only in structural and economic considerations but also in a deep understanding of lecturers’ motivational processes. Aligning policy design with established motivational theories and empirical evidence offers a pathway to strengthening academic engagement, institutional effectiveness, and the long-term sustainability of higher education.
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Saleh, S. S., Abdu, R., & Suleiman, M. M. (2026). Effect of Entrepreneurship Education and Attitude on Entrepreneurial Intention Among Graduating Students of Polytechnics in Kano State, Nigeria. International Journal of Research, 13(1), 133–146. https://doi.org/10.26643/eduindex/ijr/2026/8
1Safiyanu Sulaiman Saleh, 2Rabiu Abdu, & 3Muhammad Muhammad Suleiman
1Department of Business Administration and Management,
1School Social & Management Sciences
2Bursary Department
3Department of Computer Science, School of Science & Technology
1,2,3Federal Polytechnic Kabo, Kano, Nigeria
ABSTRACT
This study explores the effects of Entrepreneurship Education (EE) and Entrepreneurial Attitude (EA) on Entrepreneurial Intention (EI) among Polytechnic’s in Kano State. Against the backdrop of Nigeria’s persistent youth unemployment and underemployment, the study seeks to determine whether exposure to entrepreneurship education and the development of a positive entrepreneurial mindset could influence students’ willingness to pursue self-employment. A thorough literature review and empirical evaluation established that entrepreneurship plays a vital role in economic transformation, especially in developing nations. Numerous studies reported a positive and significant link between EE, EA, and EI, some argue that the impact of EE is context-dependent and may be weakened by poor delivery or lack of practical engagement. The empirical literatures confirmed that EE tends to stimulate EI when it promotes self-efficacy, risk-taking, and innovation, and when coupled with a supportive entrepreneurial attitude. However, gaps remain in understanding these relationships in local contexts like Nigerian polytechnics. The study will adopt a quantitative research design and rely on data of the students obtained from the MIS Unit of Kano State Polytechnic, which recorded an HND graduating student population of 1,045 across 32 departments/programmes in various units/schools of the polytechnicAsample size of 285will be selected using theKrejcie and Morgan (1970). Astratified random sampling technique will ensure that all departments are proportionately represented. Data analysis will be conducted using SPSS version 26, applying descriptive statistics, Pearson’s correlation, and multiple regression analysis. The results is expected to reveal a statistically significant and positive relationship between EE and EI, as well as between EA and EI.
Entrepreneurship plays a vital role in fostering economic transformation, inclusive growth, and national development across the globe (Johnson, Adeoye, & Chen, 2023; Ferreira, Silva, & Martins, 2022; Okafor, Ezenwa, & Oyetunji, 2021). This is especially true for developing countries like Nigeria, where challenges such as poverty and high unemployment remain critical (Emeka, Agho, & Udeh, 2023; Asuquo, 2024; Idowu, 2023; Aina & Oladipo, 2021). Despite its abundance of human and material resources, Nigeria has struggled to achieve widespread economic prosperity. Most citizens still live below the poverty line, surviving on less than a dollar per day even after over sixty years of independence (Yakubu, Hassan & Omeje, 2022), while unemployment figures continue to rise (Bello, Danjuma, & Suleiman, 2023). A country with a vibrant entrepreneurial base has the potential to become economically stable and prosperous (Nasir, Lukman, Adisa, & Olaniyan, 2023). For young people, unemployment remains a particularly severe issue often double or triple the national average (Popescu & Dinu, 2023).
Entrepreneurship is not accidental – it is an intentional decision shaped by personal, educational, and environmental factors. Numerous studies have shown that entrepreneurial intention (EI) is influenced by aspects such as education, social and family background, and exposure to entrepreneurial education (EE) (Okon & Bello, 2022). This disconnect has fueled academic interest in entrepreneurship as a practical and desirable career path for students. As a result, many studies have examined EI and its antecedents to understand entrepreneurial behavior more deeply (Silva, Pereira, & Oliveira, 2022). Research has shown that African youth are particularly entrepreneurial, demonstrating a readiness to innovate and take risks (Adeniyi, Rashid, & Gamede, 2024). Entrepreneurial intention remains a key indicator for understanding how and why individuals initiate and develop new business ventures (Patel, Sharma, & Bhatnagar, 2021).In line with this, Petrova, Kuznetsova, & Romanova (2023) emphasized the importance of exploring more psychological and environmental variables that influence EI.
Similarly, Nor, Idris, Fatah & Salim (2022) recommended larger sample sizes and broader institutional representation in EI research. Okeke, Nwankwo & Ubah (2023), who examined EI in Muslim-majority regions, advised future research to expand its geographic and cultural scope while also including new influencing variables. Likewise, Khan, Yusuf, Ali, Sharma & Adeel (2021) noted that limited empirical work has been done in developing countries to fully understand the link between EE and EI. Despite the growing significance of EI in policy and practice, few empirical studies have focused on this topic within the Nigerian context. It is against this backdrop, the present study aims to address several of these issues. Specifically, it will investigate the effects of entrepreneurial education and students’ attitudes on entrepreneurial intention among graduating students in Kano State polytechnic.
1.1 PROBLEMS STATEMENT
Despite Nigeria’s abundant human and material resources, the country continues to experience high levels of youth unemployment and poverty. Polytechnic graduates, in particular, face significant challenges in securing employment within their field of study. This disconnect between formal education and economic opportunities has sparked growing concern about the effectiveness of Nigeria’s higher education system in fostering entrepreneurship. While entrepreneurship education (EE) is increasingly recognized as a catalyst for equipping students with the mindset and skills necessary for self-employment, many Nigerian polytechnic still predominantly train students to become employees rather than entrepreneurs. Furthermore, although entrepreneurial intention (EI) is widely acknowledged as a precursor to actual entrepreneurial behavior, empirical studies examining the specific influence of EE and student attitudes on EI remain limited within the Nigerian context. The absence of localized evidence restricts policymakers, educators, and curriculum developers from making informed decisions to bridge the education-employment gap.
This study is crucial because it seeks to address the urgent challenge of youth unemployment in Nigeria by examining the role of entrepreneurial education and student attitudes in shaping entrepreneurial intentions. Previous research conducted in developed countries has demonstrated a positive relationship between EE and EI; however, such findings cannot be directly applied to Nigeria without context-specific investigation. Additionally, scholars have called for expanded research into the psychological and educational factors influencing EI, especially in developing countries. This study not only responds to that call but also contributes to filling a significant empirical gap by focusing on Kano State Polytechnic students at a critical transition point graduation. By identifying the variables that significantly impact EI, the findings of this study will inform educational policies, polytechnic curricula, and entrepreneurial development programs aimed at transforming graduates from job seekers to job creators. Ultimately, the study supports the national goal of promoting economic self-reliance and sustainable development through youth entrepreneurship.
1.2 Objectives of the Study
The primary objective of this study is to examine the effect of entrepreneurship education and students’ attitudes on entrepreneurial intention among HND graduating students of Kano State polytechnic. To achieve this main goal, the study seeks to:
Assess the impact of entrepreneurship education (EE) on the entrepreneurial intention (EI) of HND graduating students of Kano State Polytechnic.
Examine the influence of students’ attitudes towards entrepreneurship on their intention to become entrepreneurs.
Determine the combined effect of entrepreneurship education and attitude on entrepreneurial intention among Kano State Polytechnic HND graduates.
1.3 Hypotheses Development
Based on the above objectives, the study postulated the hypotheses: –
HO1: There is no significant positive relationship between entrepreneurship education and entrepreneurial intention of HND graduating students of Kano State Polytechnic
HO2: There is no significant positive relationship between students’ attitude and entrepreneurial intention of HND graduating students of Kano State Polytechnic
HO3: There is no significant positive relationship between combination of EE & EA and EI of HND graduating students of Kano State Polytechnic
LITERATURE REVIEW/CONCEPTUAL DEFINITIONS
2.1 Entrepreneurial Intention
Entrepreneurial intention (EI) has emerged as a central concept in entrepreneurship research and is widely recognized as a strong predictor of planned, purposeful entrepreneurial behavior (Salim, Farouk & Nor, 2021; Adegbite, Yusuf & Lawani, 2023; Chukwuma, Bello & Hassan, 2022). EI reflects an individual’s conscious decision and commitment to start a new business or engage in entrepreneurial activities in the future. It signifies a deliberate mindset that precedes action, driven by the identification of opportunities and the perceived feasibility of launching a venture (Rahman, Tan & Othman, 2022). Furthermore, EI is often influenced by one’s ability to analyze the environment, assess market gaps, and creatively propose solutions through business ideas. This self-awareness and contextual understanding are what enable individuals, particularly students, to discover and refine entrepreneurial opportunities (Oyelola, Bakare & Adebayo, 2021). Supporting this, Martins, Lima, & Correia (2022) argue that EI represents a goal-oriented mindset, allowing individuals to align their personal and professional aspirations with the dynamic demands of entrepreneurship.
In summary, entrepreneurial intention is a multidimensional concept encompassing the desire, determination, and strategic planning to engage in entrepreneurial activities. It represents a foundational construct for understanding entrepreneurial behavior and is a critical area of interest for scholars, educators, and policymakers seeking to enhance entrepreneurship development, particularly among youth and polytechnic students.
2.2 Entrepreneurship Education and Entrepreneurial Intention
In recent years, there has been a noticeable increase in the institutionalization of entrepreneurshipeducation (EE) within higher education curricula across disciplines. It is now common for students in fields such as the arts, engineering, and sciences to be exposed to formal entrepreneurship training at the Polytechnics level (Chinelo, Abbas & Wang, 2022). This shift reflects a growing consensus on the value of EE in broadening students’ skillsets, encouraging self-reliance, and equipping them with practical knowledge to navigate the uncertainties of post-graduation life (Ibrahim, Musa & Zhang, 2023). Numerous studies have confirmed that EE has a significant and positive impact on entrepreneurial intention (EI), which refers to an individual’s conscious decision to pursue entrepreneurship as a career path (Ayoade, Kwame, & Zhou, 2021). As such, many governments and educational institutions have integrated entrepreneurship into academic policy, not only to combat youth unemployment but also to stimulate innovation, productivity, and inclusive economic growth (Olowolaju, Shah, & Ridwan, 2023). EE serves as a strategic tool to ignite students’ interest in start-ups, wealth creation, and self-employment (Chen, Adebayo & Tan, 2021).
The integration of EE into polytechnic programs is intended to instill fundamental entrepreneurial competencies that guide students toward business ownership and sustainability. As noted by Abdulaziz, Fatai, Munirat, Ifeoma, & Raymond (2023), EE empowers students to acquire essential entrepreneurial knowledge—planning, decision-making, opportunity recognition, risk-taking which supports business creation and strategic management. Beyond technical knowledge, EE fosters creativity, responsibility, and an entrepreneurial mindset, transforming passive learners into active problem-solvers and future business leaders (Nwachukwu, Gomez & Xu, 2022). Empirical research continues to demonstrate a strong theoretical and practical link between EE and EI. Multiple studies have shown that students exposed to structured EE programs exhibit higher entrepreneurial intentions compared to their counterparts without such exposure (Okonjo, Felix, & Wang, 2024; Rahim, Ishola, & Le, 2023). Similarly, researchers such as Fatima, Bello, and Wahab (2022), and Noor, Idris, & Hassan (2021), have found that EE plays a crucial role in shaping students’ attitudes, confidence, and motivation toward entrepreneurship.
2.3 Entrepreneurial Attitude and Entrepreneurial Intention
Entrepreneurial education (EE) plays a significant role in shaping students’ entrepreneurial attitudes (EA), especially among those enrolled in business-related and economics programs (Okeke, Yusuf & Bello, 2021). Entrepreneurial attitude refers to an individual’s evaluative disposition – either positive or negative towards entrepreneurship, and it includes cognitive, emotional, and behavioral tendencies (Abdullahi, Musa & Li, 2022). When students develop favorable entrepreneurial attitudes, they are more likely to express interest in entrepreneurial ventures. In this context, attitude serves as a psychological framework that shapes how individuals perceive entrepreneurship and whether they are inclined to engage in it (Ogunyemi, Raji & Zhang, 2022). Attitude influences behavior, as it is linked to how one processes and reacts to information, events, or opportunities. This notion is echoed by Bello, Chukwudi, & Wang (2021), who suggest that entrepreneurial behavior is rooted in how an individual cognitively and emotionally responds to business opportunities and risks.
Scholars have emphasized that entrepreneurial action is an outcome of both attitude and intention. In essence, before entrepreneurship becomes an action, it begins as a mindset shaped by positive perceptions and internal motivation (Saidu, Ibrahim, & Chen, 2023). Therefore, cultivating positive attitudes is crucial in promoting entrepreneurial aspirations among students. Entrepreneurial attitude reflects how welcoming, enthusiastic, or critical students are toward the idea of starting a business. Pulido, Azubuike, & Zhou, (2024) define EA as a predisposition toward entrepreneurship based on self-perceptions of achievement, creativity, personal autonomy, and self-esteem. However, some scholars argue that the relationship is not always linear. For example, Ogundele, Taiwo, & Chen (2021) found that while EE improves EA, other factors such as perceived behavioral control and external support systems are also crucial in translating attitudes into intention. In a broader study, Liang, Adesina, & Wang (2024) noted that even when students have positive attitudes toward entrepreneurship, structural barriers such as lack of funding, mentorship, or market access can reduce their likelihood of acting on those intentions.
2.4 Review of Related Empirical Literature
The relationship between entrepreneurial attitude (EA)andentrepreneurial intention (EI) has attracted significant scholarly attention over the years, particularly due to its centrality in understanding entrepreneurial behavior. Empirical studies across different contexts and time periods consistently show that EA is a strong predictor of EI, though the strength and direction of this relationship may vary depending on cultural, educational, and institutional variables. A seminal work by Krueger, Reilly, & Carsrud (2000) using the Theory of Planned Behavior (TPB) laid the groundwork for understanding intention as a function of attitude, perceived behavioral control, and subjective norms. Their study confirmed that individuals with a positive disposition toward entrepreneurship are more likely to form intentions to start a business. Building on this, Liñán & Chen (2009) conducted a cross-cultural study and found that students with favorable attitudes toward entrepreneurship had higher EI scores across multiple countries, confirming the universality of the attitude-intention relationship. Similarly, Fayolle & Gailly (2015) examined European students and discovered that positive attitudes toward innovation, self-efficacy, and achievement were strongly correlated with entrepreneurial career aspirations.
Recent empirical studies between 2021 and 2024continue to affirm these earlier findings while offering updated insights. For example, Adeoye, Ladan, & Jiang (2023) investigated Nigerian undergraduates and revealed that entrepreneurial attitude defined by indicators such as personal control, risk tolerance, and creativity significantly predicted students’ entrepreneurial intentions. The study emphasized that EA was not only influenced by personality traits but also shaped by exposure to entrepreneurship education. Okon, Bello, & Wang (2022) examined students in both Nigerian and Chinese polytechnics, and their comparative study revealed that entrepreneurial attitude mediated the impact of entrepreneurial education on EI. Their findings suggest that positive cognitive and emotional evaluations of entrepreneurship, developed through polytechnic curricula and role models, enhance students’ willingness to engage in start-up ventures. In Malaysia, Nasir, Okechukwu, & Fu (2021) conducted a structural equation modeling analysis among business students and found a direct, significant relationship between EA and EI. The study also found that entrepreneurial attitude was strengthened by factors such as internship experiences, student enterprise programs, and perceived entrepreneurial climate on campus. Additionally, Pulido, Azubuike, & Zhou (2024) carried out a longitudinal study in Nigeria that tracked students from their second year through graduation. The study showed that those who participated in project-based entrepreneurship modules developed stronger entrepreneurial attitudes and were three times more likely to express the intention to start their own businesses.
Other studies, such as those by Adamu, Olatunji, & Ye (2023), observed that EA plays a moderating role between entrepreneurship education and EI. While most students showed high levels of enthusiasm for entrepreneurship, the absence of practical application and institutional support led to a gap between intention and action. Similarly, Ogundele, Taiwo, & Chen (2021) reported that although positive entrepreneurial attitudes were prevalent among Nigerian polytechnic students, other factors such as fear of failure, lack of capital, and insufficient mentoring significantly weakened the effect on actual intention. A broader international perspective was presented by Liang, Adesina, & Wang (2024), who explored gender differences in EA and EI across three countries. Their findings indicated that while male students generally displayed higher entrepreneurial attitudes, female students’ EI was significantly influenced by social encouragement and community-based entrepreneurial programs.
Earlier works have also echoed these findings. For instance, Kusmintarti, Thoyib, Ashar, & Maskie (2014) identified that students with strong EA measured by achievement motivation and innovativeness were more inclined to start businesses. Pulka, Aminu, & Rikwentishe (2015) found similar results in a Nigerian context, where EA mediated the relationship between entrepreneurial education and EI. Studies such as Ismail (2015)andRuswanti (2015)emphasized the psychological dimensions of EA, arguing that how individuals emotionally and cognitively relate to entrepreneurship plays a major role in intention formation. Abun, Foronda, & Agoot (2018) found in the Philippines that EA significantly predicted the entrepreneurial intentions of polytechnic students, especially when paired with practical business experiences. Moreover, studies like those by Hassan, Norashikin, & Omar (2016) and Trang & Mintardjo (2018) also confirmed that EA not only predicts EI but can also be enhanced through entrepreneurship education, mentorship, and experiential learning opportunities.
The empirical literature spanning more than two decades strongly supports the assertion that entrepreneurial attitude is a key antecedent of entrepreneurial intention. While the strength of this relationship is generally positive and significant, the impact of attitude on intention can be enhanced or diminished depending on a range of contextual and moderating factors, including exposure to entrepreneurship education, access to resources, institutional support, and socio-cultural influences.
2.5 Research Model
Entrepreneurship Education (EE)
Entrepreneurial Intention (EI)
Entrepreneurial Attitude (EA)
Fig 1: Author’s Model, 2025
The research model investigates the influence of Entrepreneurship Education (EE) and Entrepreneurial Attitude (EA) on Entrepreneurial Intention (EI) among HND graduating polytechnic students in Kano State Polytechnic. It proposes that EE directly enhances students’ intentions to become entrepreneurs by equipping them with relevant knowledge, skills, and experiences. At the same time, EE is believed to shape students’ attitudes toward entrepreneurship, such as their confidence, motivation, and risk tolerance, which in turn influence their intention to start a business. Overall, the model is used to explore how exposure to entrepreneurship education and the development of a positive entrepreneurial mindset together drive students’ willingness to engage in entrepreneurial activities after graduation.
METHODOLOGY
This study will adopt a quantitative research design, aimed at assessing the effects of entrepreneurship educationandentrepreneurial attitudeonentrepreneurial intention among HND graduating students of Kano State Polytechnic. The design is non-experimental and analytical, utilizing structured data to evaluate relationships among variables. The target population will comprise all HND graduating students of 2025 from32 departments/programmes, with a total of 1,045 students as documented by the institution’s Management Information System (MIS) Unit. To determine the appropriate sample size, the Krejcie and Morgan (1970) table will be used, yielding a representative sample of 285 respondents. A stratified random sampling technique will be employed, with each department to be treated as a stratum.
4.0 RESULTS
4.1 Reliability
Education
Reliability Statistics
Cronbach’s Alpha
No. of Items
.835
8
Attitude
Reliability Statistics
Cronbach’s Alpha
No. of Items
.807
8
Intention
Reliability Statistics
Cronbach’s Alpha
No. of Items
.790
8
The interpretation of reliability using Cronbach’s Alpha was based on the rule of thumb provided by (Sekaran & Bougie, 2010), who suggest that the Cronbach Alpha should be at least .70 or more. From the above analysis, the composite reliability coefficients of the latent constructs ranged from .790 to .835, with each exceeding the minimum acceptable level of .70, suggesting adequate internal consistency reliability of the measures used in this study (Hair, Ringle, & Sarstedt, 2011).
4.2 Regression
Model Summaryb
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
Change Statistics
R Square Change
F Change
df1
df2
Sig. F Change
1
.580a
.336
.331
4.01613
.336
68.775
2
272
.000
a. Predictors: (Constant), ATTITUDE, EDUCATION
b. Dependent Variable: INTENTION
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
2218.584
2
1109.292
68.775
.000b
Residual
4387.176
272
16.129
Total
6605.760
274
a. Dependent Variable: INTENTION
b. Predictors: (Constant), ATTITUDE, EDUCATION
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
T
Sig.
Collinearity Statistics
B
Std. Error
Beta
Tolerance
VIF
1
(Constant)
12.761
1.540
8.286
.000
Education
.139
.060
.153
2.306
.022
.555
1.803
Attitude
.448
.064
.466
7.025
.000
.555
1.803
a. Dependent Variable: INTENTION
The results suggest that both Entrepreneurial Education and Entrepreneurial Attitude significantly predict Entrepreneurial Intention among graduating students of Kano State Polytechnic. The regression model confirms that both variables (EE & EA) individually and jointly contribute significantly to predicting EI. These findings support prior studies and reinforced the importance of integrating entrepreneurship education across all departments to foster self-employment mindsets in students.
4.3 Correlations
EDUCATION
ATTITUDE
INTENTION
EDUCATION
Pearson Correlation
1
Sig. (2-tailed)
N
275
ATTITUDE
Pearson Correlation
.667**
1
Sig. (2-tailed)
.000
N
275
275
INTENTION
Pearson Correlation
.464**
.568**
1
Sig. (2-tailed)
.000
.000
N
275
275
275
**Correlation is significant at the 0.01 level (2-tailed).
The results suggest that both Entrepreneurial Education and Entrepreneurial Attitude significantly predict Entrepreneurial Intention among graduating students of Kano State Polytechnic. The positive correlations indicate that higher exposure to entrepreneurship education and a favorable attitude toward entrepreneurship are associated with stronger intentions to engage in entrepreneurial ventures.
CONCLUSION
In conclusion, entrepreneurship education plays a pivotal role in shaping students’ entrepreneurial mindset, skills, and intentions. While there is strong evidence supporting its positive influence on EI, the effectiveness of EE is highly dependent on content quality, pedagogical approach, and contextual relevance. Thus, there is a continuing need to strengthen EE curricula in polytechnics, tailor them to local entrepreneurial ecosystems, and embed experiential learning elements to foster genuine entrepreneurial intentions among students. This growing body of evidence has prompted scholars and educators to view EE as a foundation for building entrepreneurial ecosystems within academic institutions. Entrepreneurial attitude is a critical psychological construct that significantly influences entrepreneurial intention. Fostering positive entrepreneurial attitudes through education, experiential learning, and supportive ecosystems is essential to nurturing a generation of proactive, innovation-driven graduates.
RECOMMENDATIONS
Based on the findings above, the following recommendations were developed –
Curriculum redesign – this is to ensure transition from more of theoretical lectures to practical based learning such as business simulations, business incubation, and venture creations after practical, where students earn credit for launching actual startups
Attitude shaping – since attitude is a major predictor, teachers should focus on social persuasion to shape the students’ psychological attitude
Dream building – invite young successful alumni entrepreneurs to speak to students. This will boost their ambition and reduce fear of failure and makes them feel that it is a feasible career
Encourage arts, science and engineering students to take entrepreneurship modules together. Innovation often happens at the intersection of diverse skill sets
Policy makers to encourage startup development by giving grants instead of loans.
Government to intensify “ease of doing business” to facilitate development of business ideas to reality
Future researches to focus more in ways of translating academic research into practice.
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📌 Submit your research and be part of the 2026 scholarly community of IJR.
The International Journal of Research (IJR) invites original and high-quality research papers for publication in its upcoming issues. IJR is a peer-reviewed, open-access international journal that provides a global platform for researchers, academicians, professionals, and students to disseminate their scholarly work across a wide range of disciplines.
🌐 Journal Website: https://ijrjournal.com 📧 Paper Submission Email: ijr@ijrjournal.com 💲 Article Processing Charge (APC): Just USD 10 (One-time, after acceptance)
About the Journal
The International Journal of Research (IJR) is committed to promoting accessible, affordable, and ethical scholarly publishing. As an open-access journal, IJR ensures that all published articles are freely available to readers worldwide, thereby enhancing visibility, citation potential, and academic impact.
The journal follows a rigorous peer-review process to maintain academic quality while ensuring a fast and transparent review timeline, making it especially suitable for early-career researchers and scholars from developing regions.
Scope of the Journal
IJR is multidisciplinary in nature and welcomes research contributions from (but not limited to) the following areas:
Social Sciences and Humanities
Education and Pedagogy
Management, Commerce, and Economics
Science and Technology
Engineering and Applied Sciences
Architecture, Planning, and Design
Environmental Studies and Sustainability
Law, Public Policy, and Governance
Health, Psychology, and Allied Sciences
Interdisciplinary and Emerging Research Areas
Both theoretical and empirical studies are encouraged.
Types of Papers Accepted
The journal accepts the following categories of manuscripts:
Original Research Articles
Review Papers
Case Studies
Conceptual Papers
Short Communications
Book Reviews
All submissions must be original, unpublished, and not under consideration by any other journal.
Why Publish with IJR?
✔ Open Access publication ✔ Very low APC – only USD 10 ✔ International editorial and reviewer base ✔ Fast peer-review and publication process ✔ DOI assignment for published articles ✔ Global visibility and readership ✔ Author-friendly submission process
IJR strongly supports inclusive academic publishing, making research publication affordable without compromising scholarly standards.
Submission Guidelines
Authors are requested to submit their manuscripts in MS Word format to: 📧 ijr@ijrjournal.com
The manuscript should include:
Title and author details
Abstract and keywords
Main text with proper references
Declaration of originality
Detailed author guidelines are available on the journal website: 🌐 https://ijrjournal.com
Important Dates
📌 Submission: Open (Rolling submissions accepted) 📌 Review Process: Fast and peer-reviewed 📌 Publication: Immediately after acceptance and APC payment
Invitation to Authors
The editorial board of IJR warmly invites researchers, faculty members, PhD scholars, postgraduate students, and independent researchers to submit their valuable work and become part of a growing international research community.
In today’s fast-paced and dynamic world, technology is a driving force for innovation across all sectors, and education is no exception. Within the child care franchise industry, organizations like Celebree School are leading the way in harnessing digital advancements to provide enriched, high-quality early learning experiences. Technology is not viewed simply as an accessory but as a vital component in cultivating engaging, effective, and future-ready learning environments. This article explores the strategic integration of technology within a child care franchise setting and how it supports the developmental needs of young learners while ensuring operational excellence.
Interactive Learning Tools to Ignite Curiosity
A key benefit of technology within a child care franchise is the use of interactive learning tools. Celebree School, for example, incorporates digital resources—including tablets and age-appropriate educational software—that promote exploration, independence, and active participation. These tools are thoughtfully selected to capture and sustain children’s interest, encouraging curiosity and discovery through educational games and multimedia experiences. By integrating technology into daily activities, children have the opportunity to build foundational skills in literacy, mathematics, and critical thinking in ways that are both enjoyable and impactful. This technology-driven learning helps lay the groundwork for continued academic achievement.
Enhancing Communication and Collaboration
Clear and consistent communication is essential in any educational setting, and it is especially important in a child care franchise, where trust and collaboration between families and staff are paramount. Leading franchises utilize advanced technology platforms to bridge communication gaps, allowing parents to receive timely updates on their child’s progress, milestones, and daily experiences. This transparency not only builds confidence among parents but also increases engagement, enabling families to partner with educators and reinforce learning at home. As a result, technology strengthens the home-school connection, contributing to a holistic and cohesive approach to early childhood development.
Fostering Digital Literacy from an Early Age
In an era dominated by digital technology, it is vital to introduce children to digital literacy from an early age. Progressive child care franchises intentionally design their curricula to expose young learners to technology in responsible and age-appropriate ways. Activities might include guided use of educational apps, supervised exploration of interactive websites, and introductory coding exercises. These experiences help children develop confidence and familiarity with digital tools, which are increasingly important for future academic and professional success. By fostering digital literacy early, child care franchises prepare children to navigate and thrive in a technology-driven world.
Balancing Screen Time with Hands-On Experiences
Despite the many benefits technology brings to the classroom, leading child care franchises recognize the importance of maintaining a healthy balance between screen-based learning and hands-on, experiential activities. Celebree School, for instance, adopts a holistic educational philosophy that integrates technology with traditional forms of play and creative expression. Interactive whiteboards may be paired with storytelling and group discussions, while tactile activities such as art, building, and sensory play continue to play a central role in the curriculum. This balanced approach cultivates creativity, collaboration, and critical thinking, ensuring children develop a well-rounded set of skills without overreliance on digital devices.
Preparing for a Technologically Advanced Future
Strategic integration of technology within a child care franchise setting does more than enhance day-to-day learning; it also equips children with the adaptability and problem-solving skills essential for long-term success. Educators utilize technology to foster adaptability, resilience, and critical thinking—competencies that are increasingly valued in our rapidly changing society. By fostering a culture of curiosity and lifelong learning, franchises like Celebree School ensure that children are not only academically prepared but also confident and resourceful as they move forward in their educational journeys.
Conclusion
In conclusion, the thoughtful incorporation of technology within a child care franchise setting, such as that of Celebree School, yields significant benefits for young learners, families, and educators alike. Interactive tools, enhanced channels of communication, and a strong focus on digital literacy contribute to a dynamic and supportive environment where children are empowered to reach their full potential. By carefully balancing technological innovation with hands-on learning and social development, modern child care franchises are not only responding to current educational trends but also proactively preparing children for future academic and personal success. Embracing technology in this context is a deliberate, forward-thinking investment in the growth and development of the next generation.
Preparing for TELC exams requires a structured approach that addresses language proficiency and familiarity with the exam format. Since TELC assessments focus on practical communication, candidates can benefit from using targeted study materials and interactive practice tools. Several effective preparation methods can help you steadily improve and build confidence before test day:
Official TELC practice tests
These materials mirror the actual exam structure, including listening, reading, writing, and speaking tasks. Working with these tests allows candidates to understand the timing, types of tasks, and scoring expectations. Regular practice also helps identify common patterns, such as text formats, vocabulary themes, and frequently appearing instructions. Taking full tests under timed conditions improves time management and discipline.
Online prep courses
Many language schools https://iisc-institute.de/ and testing centers offer programs focused on the TELC that include structured lessons, grammar reviews, and exam simulations. These courses often incorporate feedback from instructors who are experienced in TELC evaluation standards. With guided instruction, learners can identify and address their weaknesses and adapt to the communication-oriented nature of the exam. Online courses are useful for candidates who prefer flexibility or need to balance preparation with work or studies.
Interactive language-learning platforms
Those that incorporate speaking recognition, vocabulary building, and contextual grammar practice help reinforce daily language usage. Combining these platforms with exam-specific exercises strengthens overall fluency and comprehension. They are effective for maintaining regular practice, especially between more intensive study sessions.
Conversation groups
Such groups, as well as language exchange sessions, are beneficial for improving speaking skills. Since TELC exams emphasize communicative ability, practicing with partners encourages spontaneity, listening comprehension, and natural expression. Real-time conversations provide a more realistic environment than scripted exercises and support the fluency required for the oral component of the exam.
Intensive preparation:
Textbooks and workbooks designed for TELC levels offer structured explanations of grammar, lists of vocabulary, and reading exercises organized by theme. These resources align with the Common European Framework of Reference (CEFR), ensuring the practice material matches the expected linguistic complexity at each level.
For the writing section, guided writing prompts and model text reviews can help you master common formats, such as emails, formal letters, and short reports. Practicing structure, tone, and clarity reduces uncertainty and improves performance on the written section.
Listening skills can be improved through audio materials, podcasts, and recorded dialogues similar to those used in TELC assessments. Exposure to varied accents and speaking speeds helps prepare candidates for typical listening tasks.
Finally, periodically taking mock exams allows candidates to track their progress and adjust their study strategy. These simulations highlight remaining gaps and confirm readiness for the actual exam.