Class Attendance Frequency and Timely Program Completion in Public TVET Institutions: The Moderating Role of Institutional Structural Factors in Trans-Nzoia County, Kenya
Authors
Graduate Student, Kibabii University (Kenya)
Senior Lecturer, Department of Educational Planning and Management, Kibabii University (Kenya)
Senior Lecturer, Department of English, Literature, Journalism & Mass Communication, Kibabii University (Kenya)
Article Information
DOI: 10.47772/IJRISS.2026.100601341
Subject Category: Education
Volume/Issue: 10/6 | Page No: 19624-19638
Publication Timeline
Submitted: 2026-07-04
Accepted: 2026-07-10
Published: 2026-07-18
Abstract
Background/Purpose: Delayed program completion under Competency-Based Education and Training (CBET) frameworks remains a major challenge within Kenya's vocational training sector, threatening public investments and skilled workforce supply. This study examined the influence of class attendance frequency on program completion within the standard duration and evaluated whether institutional structural factors moderate this relationship among trainees in public Technical and Vocational Education and Training (TVET) institutions in Trans-Nzoia County, Kenya.
Methodology: Rooted in a post-positivist philosophy, the study adopted a descriptive, cross-sectional survey design alongside concurrent document analysis. The target population comprised 1,770 trainees across three public TVET institutions (Kitale National Polytechnic, Kiminini Technical and Vocational College, and Endebess Technical Training Institute). A sample of 326 trainees was selected using stratified random sampling. Primary data were gathered via structured 5-point Likert-scale questionnaires, while institutional documents were systematically reviewed using a standardized checklist. Data analysis was executed via descriptive statistics and Hierarchical Binary Logistic Regression analysis to test direct and interaction pathways.
Findings: Descriptive analysis showed that while class attendance frequency was generally high, 25.5% of trainees still faced delayed program completion. Hierarchical logistic regression revealed that class attendance frequency alone was not a statistically significant direct predictor of timely completion after controlling for trainee baseline characteristics (β = -0.158$, p = 0.654). However, institutional structural factors exerted a significant positive direct effect β = 0.842, p = 0.028) and a highly significant positive moderating interaction effect on the relationship (β = 1.241$, p = 0.017). This establishes a structural threshold effect, demonstrating that regular attendance only yields timely graduation when supported by functional institutional systems. Differential effects were observed across program tiers, with certificate levels and sub-county colleges displaying higher vulnerability to administrative lags.
Conclusion/Policy Implications: The study concludes that improving trainee attendance is a necessary but insufficient condition for timely program completion unless it is matched by robust institutional capacity. TVET administrators and policymakers should prioritize systemic structural interventions. These include enhancing CBET infrastructure, streamlining external competency assessment scheduling, reducing administrative bottlenecks, and optimizing resource coordination to ensure student engagement effectively translates into timely program completion.
Keywords
Class Attendance Frequency, Institutional Structural Factors
Downloads
References
1. Akoojee, S. (2019). Skills development and the transformation of technical and vocational education and training in South Africa. International Journal of Training Research, 17(2), 1–15. [Google Scholar] [Crossref]
2. Amuka, L. O. (2019). Institutional policy dynamics and their influence on graduation timelines in public technical colleges in Western Kenya. Journal of Vocational Education and Structural Policy, 14(2), 112–128. [Google Scholar] [Crossref]
3. Ayonmike, C. S., & Okeke, B. C. (2016). TVET in Nigeria: Challenges and the way forward. Journal of Education and Practice, 7(15), 71–78. [Google Scholar] [Crossref]
4. Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. [Google Scholar] [Crossref]
5. Bean, J. P., & Metzner, K. R. (1985). A conceptual model of nontraditional undergraduate student attrition. Review of Educational Research, 55(4), 485–540. [Google Scholar] [Crossref]
6. Cilliers, J., Kasirye, I., Leaver, C., Serneels, P., & Zeitlin, A. (2018). Pay for locally monitored performance? A welfare analysis for teacher attendance in African schools. Journal of Public Economics, 167, 69–90. [Google Scholar] [Crossref]
7. Credé, M., Roch, S. G., & Kieszczynka, U. M. (2010). Class attendance in college: A meta-analytic review of the relationship of class attendance with grades and student characteristics. Review of Educational Research, 80(2), 272–295. [Google Scholar] [Crossref]
8. Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage. [Google Scholar] [Crossref]
9. Fullan, M. (2007). The new meaning of educational change (4th ed.). Teachers College Press. [Google Scholar] [Crossref]
10. International Labour Organization. (2023). Skills development and lifelong learning: Global perspectives on TVET reform. ILO. [Google Scholar] [Crossref]
11. Kassarnig, V., Bjerre-Nielsen, A., Mones, E., Lehmann, S., & Lassen, D. D. (2018). Class attendance, peer similarity, and academic performance in a large field study. PLOS ONE, 13(10), Article e0200465. [Google Scholar] [Crossref]
12. Kibet, F., Gachigi, P., Ndung'u, J., & Munuku, A. (2025). Assessing the implementation of competency-based education and training in Kenya: A case study of Nyeri National Polytechnic. East African Journal of Education Studies, 8(1), 45-58. [Google Scholar] [Crossref]
13. Kipngetich, W., Kapkiai, M., & Sammy, C. (2021). Assessing the extent of application of competency-based education and training approach in classroom instruction in Technical and Vocational Education and Training institutions in Kenya. Journal of Education, Society and Behavioural Science, 34(12), 52–64. https://doi.org/10.9734/JESBS/2021/v34i1230383 [Google Scholar] [Crossref]
14. Lu, C., & Cutumisu, M. (2022). Online engagement and performance on formative assessments mediate the relationship between attendance and course performance. International Journal of Educational Technology in Higher Education, 19, Article 2. [Google Scholar] [Crossref]
15. Marburger, D. R. (2006). Does mandatory attendance improve student performance? Journal of Economic Education, 37(2), 148–155. [Google Scholar] [Crossref]
16. Ministry of Education. (2019). National policy framework for reforming education and training for sustainable development in Kenya. Government Printer. [Google Scholar] [Crossref]
17. Ministry of Education. (2024). TVET sub-sector report for FY 2025/26–2027/28. Government of Kenya. [Google Scholar] [Crossref]
18. Muthomi, K., Boit, J. M., & Sanga, P. L. (2024). Influence of trainers' competencies on competency-based education and training implementation in public technical institutions in Meru County, Kenya. The Educator: A Journal of the School of Education, Moi University, 3(1), 110–128. [Google Scholar] [Crossref]
19. Ngware, M. W., Abuya, B. O., & Mutisya, M. (2022). Transitioning to CBET: An empirical analysis of CDACC assessment structures and curriculum delivery consistency in Kenyan national polytechnics. African Population and Health Research Center. [Google Scholar] [Crossref]
20. Nyamapfene, K. (2010). Does class attendance still matter? Lecturers' and students' views on attendance in higher education. Assessment & Evaluation in Higher Education, 35(6), 663–674. [Google Scholar] [Crossref]
21. Organisation for Economic Co-operation and Development. (2023). Vocational education and training in a changing world of work. OECD Publishing. [Google Scholar] [Crossref]
22. Romer, D. (1993). Do students go to class? Should they? Journal of Economic Perspectives, 7(3), 167–174. [Google Scholar] [Crossref]
23. Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students (8th ed.). Pearson. [Google Scholar] [Crossref]
24. Tinto, V. (1975). Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research, 45(1), 89–125. [Google Scholar] [Crossref]
25. Tinto, V. (1993). Leaving college: Rethinking the causes and cures of student attrition (2nd ed.). University of Chicago Press. [Google Scholar] [Crossref]
26. TVET Authority. (2023). Annual TVET sector performance report 2022/2023. TVETA. [Google Scholar] [Crossref]
27. UNESCO. (2022). Strategy for technical and vocational education and training (TVET) 2022–2029. UNESCO. [Google Scholar] [Crossref]
28. UNESCO-UNEVOC. (2021). TVET systems and skills development in Sub-Saharan Africa. UNESCO-UNEVOC. [Google Scholar] [Crossref]
29. World Bank. (2021). Skills development in the time of COVID-19 and beyond. World Bank. [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Assessment of the Role of Artificial Intelligence in Repositioning TVET for Economic Development in Nigeria
- Teachers’ Use of Assure Model Instructional Design on Learners’ Problem Solving Efficacy in Secondary Schools in Bungoma County, Kenya
- “E-Booksan Ang Kaalaman”: Development, Validation, and Utilization of Electronic Book in Academic Performance of Grade 9 Students in Social Studies
- Analyzing EFL University Students’ Academic Speaking Skills Through Self-Recorded Video Presentation
- Major Findings of The Study on Total Quality Management in Teachers’ Education Institutions (TEIs) In Assam – An Evaluative Study