Regression Analysis of Students' Perception on Internet-based Teaching-learning Effectiveness in Nursing Institutions of North-central, Nigeria
DOI:
https://doi.org/10.69606/jps.v3i04.345Keywords:
Internet-based teaching-learning strategies, AI , Digital content learning platform , Gamification learning, Online learningAbstract
Background: The academic performance of nursing students in Nigeria has been hindered by ineffective teaching strategies, largely due to limited integration of innovative approaches in the teaching-learning process. Aim: This study investigated the regression analysis of nursing students perceive effectiveness of internet-based teaching-learning strategies on the teaching-learning process in North-central Nigeria. Method: A cross-sectional quantitative research design was adopted to assess the effectiveness of Internet-based teaching-learning strategies among nursing students across three institutions in North-central Nigeria. A total of 400 students were proportionately selected from a population of 1,267. Data were collected using a structured questionnaire, and analyzed using descriptive statistics and regression analysis to determine the relationship between Internet-based teaching-learning strategies and students’ academic performance. Results: Results showed that 73.5% of students testified that Internet-based teaching-learning strategies, with 79.5% indicating that these innovations made learning easier. Additionally, 73.3% of students believed that Internet-based teaching-learning strategies improved their overall academic performance. Significant proportion of students perceived mobile teaching-learning (69.8%), online game-based learning (72.5%), artificial intelligence (73.5%), and digital content platforms as effective tools for facilitating teaching-learning activities. Conclusion: This study concludes that regression coefficients for the entire four internets-based strategies are found to be significant with all the p-values < 0.05. This implies that there is a significant linear relationship in the effective use of internet-based teaching-learning and the academic performance of the students. Based on these findings, this study recommends that internet-based teaching-learning strategies should be prioritized to complement the traditional teaching approaches in nursing education. The necessary internet and technological facilities should be provided to support high-quality education.
References
Abeer, S. A., Ali, M.A., Muhammad, S.V., Noraffandy Y., Qusay A. (2023). Acceptance of Mobile Learning Technology by Teachers: Influencing Mobile Self-Efficacy and 21st-Century Skills-Based Training. Acess at https://www.researchgate.net/publication/372653710_Acceptance_of_Mobile_Learning_Technology_by_Teachers_Influencing_Mobile_Self-Efficacy_and_21st-Century_Skills-Based_Training
Al-Ansi, A.M., Jaboob, M.; Garad, A., Al-Ansi, A. Analyzing augmented reality (AR) and virtual reality (VR) recent development in education. Soc. Sci. Humanit. Open 2023, 8, 100532. Access at https://www.mdpi.com/2078-2489/16/1/56
Alshammari, M., Yakubu, S., Bader, A., Muhammad, A.L., Halima, M.A., et al. (2025). E-learning adoption in nursing education: feasibility analysis using the technology acceptance model with a focus on digital and information literacy. Front. Educ.Digital Education,Vol. 10 - 2025https://doi.org/10.3389/feduc.2025.1632298.
Barthel, C., Fabian, M., Stefan, J., Vera, A.B., Christiane, K., Sandra, S. (2025). Digital technology and teaching methods in nursing education: a scoping review protocol. BMJ Open;15(11): e108610. doi: 10.1136/bmjopen-2025-108610.
Chikaodinaka, N., Ngozi, E. M. (2023). Teaching approaches among nurse educators and preferred teaching methods among student nurses in southeast Nigeria: A cross-sectional study. GSC Advanced Research and Reviews 14(02):98-107. DOI:10.30574/gscarr.2023.14.2.0048
Chinaza, Uleanya. (2021). "Exploring Undergraduates’ Perception on Assessments and Feedback at Selected Nigerian and South African Rural Universities," Universal Journal of Educational Research, Vol. 9, No. 4, pp. 836 – 843. DOI: 10.13189/ujer. 2021. 090417.Available at https://www.hrpub.org/download/20210330/UJER17-19521789.pdf
Damilola, B. O. (2025). Internet Access in Nigeria: The Evolving Landscape. The Borgen Project’. Available at https://borgenproject.org /Internet Access-in-Nigeria/ The Evolving Landscape - The Borgen Project
David, B.O., Clement, A., David-Olawade., Oluwayomi, B.R., Ojima, Z. W. (2025). Artificial intelligence in Nigerian nursing education: Are future nurses prepared for the digital revolution in healthcare. Nurse Education in Practice. Vol. 87, 104511. Available at https://doi.org/10.1016/j.nepr.2025.104511
Fomsi, & Ogo-chukwu. (2019).) Gamification - influence on elementary pupils’ learning outcomes and engagement in the English language. International Journal of English Language Teaching Vol 7, No.2, pp.50-62. Published by European Centre for Research Training and Development, UK. Availableat https://eajournals. org/ ijelt /vol-7-issue-2-march-2019/gamification-influence-on-elementary-pupils-learning-outcomes-and-engagement-in-english-language/#
Gopolang, G., Isaac, O., Mokgaola, M. A.R. (2022). Technology usage for teaching and learning in nursing education: An integrative review. https://pubmed. ncbi.nlm.nih.gov/35792609/. Available at DOI: 10.4102/curations. v45i1.2261
Liu, M., TuongVan, V., Nienke van, A., Martijn,, M. (2023). Testing the Reciprocal Effect between Value of Education, Time Investment, and Academic Achievement in a Large Non-Western Sample. Journal of Intelligence 11: 1333. Available at J Intell. 2024 Nov 14;12(11):117. doi: 10.3390/jintelligence12110117
Mohammed Amin Almaiah; Mahdi M. Alamri; Waleed Al-Rahmi. (2019). Applying the UTAUT Model to Explain the Students’ Acceptance of Mobile Learning Systems in Higher Education. Publisher: IEEE. https://doi.org/10.1016/j.tate.2022.103954 https://ieeexplore.ieee.org/abstract/document/8918396
Omotayo B.O.& Fadehan O.A. (2008). Internet access and usage by Nigerian academics: a case-study of the Obafemi Awolowo University, Nigeria. Ghana Library Journal 19(1). DOI:10.4314/glj.v19i1.33976
Ogbonna R.N.O., Uloma O.C., Felix I., Maritha N.N. & Magnus M.O. (2025). Metacognitive analysis of electronic technology use for human capital and lifelong learning in Nigerian tertiary institutions. Vol. 4(537). Available at https// link.springer.com/article/ 10.1007/s44217-025-00894-9
Padagas, R. C. (2020). How to overcome learning challenges in a biochemistry class? Uncovering lessons from facilitation styles and collaborative learning. International Journal of Scientific and Technology Research, 9(2), 3776-3782. Available at https://www.ijstr.org/final-print/feb2020/How-To-Overcome-Learning-Challenges-In-A-Biochemistry-Class-Uncovering-Lessons-From-Facilitation-Styles-And-Collaborative-Learning.p
Raffaele A.E., Maria C., Valentina C., Donato P. and Vincenzo A. (2025). Gamification Strategies in Undergraduate Nursing Education: A Systematic Review Protocol. Available at https://www.frontiersin.org/journals/education/articles/10.3389/feduc.2025.1632298/full
Samar T.J., Aya M., and Noor B . ( 2025). Mobile learning application usability and self-efficacy among undergraduate nursing students in clinical practice: A cross-sectional study. Available athttps:// doi.org/10.1177/20552076251393399
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Umar N Jibril, Emmanuel E Anyebe, James A Awoniyi, Olayide A. Olasupo, Aminat G Umar, Opeyemi J David, Nihinlola A. Abdulmalik, Mulikat A Ibraheem, Imam A Ayinls
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
