Design, Development, and Evaluation of an Adaptive E-Learning Platform for Physics Education: An Implementation Study from a Nigerian College of Education, Katsina

Physics education in resource-limited Nigerian higher education often struggles with low engagement, inflexible delivery, poor accessibility for disabled students, and insufficient teacher support for personalised instruction. To address these issues, an adaptive e-learning platform was designed, implemented, and evaluated for the Physics Department at Federal College of Education, Katsina, focusing on inclusive design and cost-effectiveness. A developmental research design included a needs assessment (48 students, 4 staff), platform development using open-source technologies (React, Node.js, PostgreSQL) with WCAG 2.1 Level AA and Bayesian Knowledge Tracing, pilot (n=28), and a 4-week full implementation (48 students, 4 teachers). Mixed-methods evaluation used pre/post-tests, System Usability Scale (SUS), Technology Acceptance Model (TAM) survey, platform analytics, and interviews. Mean pre-test scores rose from 41.2% to 68.7% (gain 27.5 pp, t=12.4, p<.001, d=1.42), with a normalised gain g=0.58 (moderate-to-high effectiveness). SUS reached 80.5 (Grade A, 85th percentile); module completion 79.5%. The three students with disabilities had comparable gains (g=0.56 vs 0.58, p=0.83), confirming equity. Teacher TAM: perceived usefulness 4.1/5, behavioural intention 4.4/5. This first empirical evaluation of an adaptive physics e-learning platform with verified WCAG 2.1 accessibility in a Nigerian College of Education offers a replicable, open-source solution requiring only smartphones (87.5% of participants). It demonstrates equitable learning for disabled students is achievable without costly infrastructure. Adaptive, mobile-first, accessibility-compliant e-learning can thus significantly improve physics outcomes and foster inclusive education across Sub-Saharan Africa

Adaptive learning, e-learning platform, physics education, inclusive education, educational technology, Nigeria

1. H. J. Banda and J. Nzabahimana, “Effect of integrating physics education technology simulations on students’ conceptual understanding in physics: A review of literature,” Phys. Rev. Phys. Educ. Res., vol. 17, no. 2, pp. 023108, 2021. [Google Scholar] [Crossref]

2. R. C. Clark and R. E. Mayer, E-Learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning, 5th ed. Hoboken, NJ, USA: Wiley, 2023. [Google Scholar] [Crossref]

3. G. Namyssova, G. Tussupbekova, J. Helmer, K. Malone, M. Afzal, and D. Jonbekova, “Challenges and benefits of blended learning in higher education,” Int. J. Technol. Educ., vol. 2, no. 1, pp. 22–31, 2019. [Google Scholar] [Crossref]

4. R. Ravichandran, “Hybrid learning: How educational technology is enabling a new era of classroom flexibility,” Indian J. Educ. Technol., vol. 6, no. 1, pp. 312–322, 2024. [Google Scholar] [Crossref]

5. J. Singh et al., “Online, hybrid, and face-to-face learning through the eyes of faculty, students, administrators, and instructional designers: Lessons learned and directions for the post-vaccine and post-pandemic/COVID-19 world,” J. Educ. Technol. Syst., vol. 50, no. 3, pp. 301–326, 2022. [Google Scholar] [Crossref]

6. J. Bersin, The Blended Learning Book: Best Practices, Proven Methodologies, and Lessons Learned. San Francisco, CA, USA: Pfeiffer, 2004. [Google Scholar] [Crossref]

7. K. A. A. Gamage, A. Gamage, and S. C. P. Dehideniya, “Online and hybrid teaching and learning: Enhance effective student engagement and experience,” Educ. Sci., vol. 12, no. 10, Art. no. 651, 2022. [Google Scholar] [Crossref]

8. A. La Rosa and A. Mavroudi, “A case study of hybrid learning in higher education using quantitative research design,” 2022. [Google Scholar] [Crossref]

9. J. A. P. Adunce and A. Dominguez, “Impact of PhET interactive simulation in a hybrid physics course: The case of repeating students,” in Proc. 2024 ASEE Annu. Conf. Expo., 2024. [Google Scholar] [Crossref]

10. N. Liu, “Exploring the knowledge map and application prospects of hybrid learning research in the field of higher education,” in Proc. 9th Int. Conf. Distance Educ. Learn., 2024, pp. 196–202. [Google Scholar] [Crossref]

11. A. Dhouib, M. H. Fadi Hijab, K. Chemnad, D. Al-Thani, and A. Othman, “Advancing inclusive smart learning environments: A systematic review of technologies, challenges, and best practices for students with disabilities,” Smart Learn. Environ., vol. 12, no. 1, Art. no. 70, 2025. [Google Scholar] [Crossref]

12. S. Taxipulati and H. D. Lu, “The influence of feedback content and feedback time on multimedia learning achievement of college students and its mechanism,” Front. Psychol., vol. 12, pp. 706821, 2021. [Google Scholar] [Crossref]

13. L. S. Vygotsky, Mind in Society: The Development of Higher Psychological Processes. Cambridge, MA, USA: Harvard Univ. Press, 1978. [Google Scholar] [Crossref]

14. F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Quart., vol. 13, no. 3, pp. 319–340, 1989 [Google Scholar] [Crossref]

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