Utilization of innovative teaching- learning strategies on students academic performance in undergraduate health sciences programs at Masinde Muliro University of Science and Technology, Kenya

Authors

DOI:

https://doi.org/10.51867/ajernet.7.4.64

Keywords:

Academic Performance, Health Professions Education, Innovative Teaching Strategies, Kenya, Problem-Based Learning, Simulation-Based Learning, Social Cognitive Theory, Undergraduate Students

Abstract

Health professions education is undergoing significant transformation due to evolving healthcare needs, technological advancement, and the demand for competent, reflective, and practice-ready healthcare professionals. Innovative teaching and learning strategies, including Problem-Based Learning, Peer-Assisted Learning, Simulation-Based Learning, Flipped Classrooms, Evidence-Based Medicine, Interprofessional Education, and technology-enhanced learning, have gained prominence as alternatives to traditional teacher-centred approaches. These strategies promote active engagement, critical thinking, clinical reasoning, collaboration, and lifelong learning. However, evidence regarding their utilization and influence on academic performance among undergraduate health sciences students in Kenyan universities remains limited. This study, anchored in Albert Bandura's Social Cognitive Theory (SCT), assessed the utilization of innovative teaching and learning strategies and their influence on academic performance among undergraduate Health Sciences students at Masinde Muliro University of Science and Technology (MMUST), Kenya. SCT provides a relevant framework by explaining how observational learning, self-efficacy, and reciprocal interactions among personal cognitive factors, behaviour, and the social environment shape students' learning behaviours and academic achievement within innovative teaching environments. An institution-based analytical cross-sectional study was conducted among undergraduate Health Sciences students at MMUST. A stratified random sampling technique was used to select participants from different Health Sciences programmes. Data were collected using a structured self-administered questionnaire assessing demographic characteristics, utilization of innovative teaching strategies, perceived influence on academic performance, and academic outcomes. Data were analyzed using descriptive statistics, Chi-square tests, and logistic regression analysis. Statistical significance was determined at a p-value of <0.05. A total of 223 students participated in the study. Most respondents were aged 20–24 years (90.6%), and third-year students constituted the largest proportion (49.8%). The most frequently utilized innovative teaching strategies were Peer-Assisted Learning (80.8%), Problem-Based Learning (76.7%), Evidence-Based Medicine (75.4%), Flipped Classroom (74.9%), and Interprofessional Education (74.8%). Gamification, Community-Based Education, and Computer-Assisted Learning recorded lower utilization. Students reported that innovative teaching approaches enhanced critical thinking, knowledge retention, motivation, clinical skills acquisition, confidence, and problem-solving abilities. Overall, 97.4% of students demonstrated good academic performance. Innovative teaching and learning strategies are widely utilized among undergraduate Health Sciences students at MMUST and are perceived to positively influence academic and clinical learning outcomes, consistent with Social Cognitive Theory's emphasis on observational learning, self-efficacy, and environmental support. Strengthening faculty development, digital infrastructure, simulation facilities, and educational resources is recommended to enhance sustainable implementation of innovative approaches in health professions education.

 

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References

Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall.

Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual Review of Psychology, 52, 1-26. https://doi.org/10.1146/annurev.psych.52.1.1

Benner, P., Sutphen, M., Leonard, V., & Day, L. (2010). Educating nurses: A call for radical transformation. Jossey-Bass.

Biggs, J., & Tang, C. (2011). Teaching for quality learning at university (4th ed.). Open University Press.

Bradley, P. (2006). The history of simulation in medical education and possible future directions. Medical Education, 40(3), 254-262. https://doi.org/10.1111/j.1365-2929.2006.02394.x

Bruner, J. S. (1961). The act of discovery. Harvard Educational Review, 31(1), 21-32.

Cant, R. P., & Cooper, S. J. (2017). The value of simulation-based learning in pre-licensure nurse education: A state-of-the-art review and meta-analysis. Nurse Education in Practice, 27, 45-62. https://doi.org/10.1016/j.nepr.2017.08.012

Cook, D. A., Brydges, R., Hamstra, S. J., Zendejas, B., Szostek, J. H., Wang, A. T., Erwin, P. J., & Hatala, R. (2011). Comparative effectiveness of technology-enhanced simulation versus other instructional methods: A systematic review and meta-analysis. Simulation in Healthcare, 6(5), 308-320. https://doi.org/10.1097/SIH.0b013e318222e2b4

Dichev, C., & Dicheva, D. (2017). Gamifying education: What is known, what is believed and what remains uncertain: A critical review. International Journal of Educational Technology in Higher Education, 14, Article 9. https://doi.org/10.1186/s41239-017-0042-5

Dolmans, D. H. J. M., Loyens, S. M. M., Marcq, H., & Gijbels, D. (2016). Deep and surface learning in problem-based learning: A review of the literature. Advances in Health Sciences Education, 21(5), 1087-1112. https://doi.org/10.1007/s10459-015-9645-6

Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415. https://doi.org/10.1073/pnas.1319030111

George, D. R., Dellasega, C., Whitehead, M. M., & Berman, N. B. (2014). Facebook and the creation of an online community of learners. Medical Education, 48(6), 623-624.

Greenhalgh, T., Howick, J., & Maskrey, N. (2014). Evidence-based medicine: A movement in crisis? BMJ, 348, g3725. https://doi.org/10.1136/bmj.g3725

Hew, K. F., & Lo, C. K. (2018). Flipped classroom improves student learning in health professions education: A meta-analysis. BMC Medical Education, 18, Article 38. https://doi.org/10.1186/s12909-018-1144-z

Jeffries, P. R. (2016). The NLN Jeffries simulation theory. National League for Nursing.

Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41(2), 75-86. https://doi.org/10.1207/s15326985ep4102_1

McCutcheon, K., Lohan, M., Traynor, M., & Martin, D. (2015). A systematic review evaluating the impact of online or mobile technologies on teaching and learning in health sciences education. Nurse Education Today, 35(10), 1021-1029. https://doi.org/10.1016/j.nedt.2015.03.016

Morgan, P. J., & Cleave-Hogg, D. (2002). Comparison between medical students' experience, confidence and competence. Medical Education, 36(6), 534-539.

https://doi.org/10.1046/j.1365-2923.2002.01228.x

Neville, A. J. (2009). Problem-based learning and medical education forty years on. Medical Principles and Practice, 18(1), 1-9.

https://doi.org/10.1159/000163038

O'Doherty, D., Dromey, M., Lougheed, J., Hannigan, A., Last, J., & McGrath, D. (2018). Barriers and solutions to online learning in medical education: An integrative review. BMC Medical Education, 18, Article 130. https://doi.org/10.1186/s12909-018-1240-0

O'Flaherty, J., & Phillips, C. (2015). The use of flipped classrooms in higher education: A scoping review. The Internet and Higher Education, 25, 85-95.

https://doi.org/10.1016/j.iheduc.2015.02.002

Reeves, S., Fletcher, S., McLoughlin, C., Yim, A., & Patel, K. D. (2016). Interprofessional online learning for health professional education. Cochrane Database of Systematic Reviews, (3).

Richardson, M., Abraham, C., & Bond, R. (2012). Psychological correlates of university students' academic performance: A systematic review and meta-analysis. Psychological Bulletin, 138(2), 353-387. https://doi.org/10.1037/a0026838

Savery, A., Cain, T., Garner, J., Jones, T., Kynaston, E., Mould, K., Nicholson, L., Proctor, S., Pugh, R., Rickard, E., & Wilson, D. (2017). Does engagement in Forest School influence perceptions of risk, held by children, their parents, and their school staff? Education 3-13, 45(5), 519-531. https://doi.org/10.1080/03004279.2016.1140799

Schunk, D. H., & DiBenedetto, M. K. (2020). Motivation and social cognitive theory. Contemporary Educational Psychology, 60, Article 101832. https://doi.org/10.1016/j.cedpsych.2019.101832

Secomb, J. (2008). A systematic review of peer teaching and learning in clinical education. Journal of Clinical Nursing, 17(6), 703-716.

https://doi.org/10.1111/j.1365-2702.2007.01954.x

Setia, M. S. (2016). Methodology series module 3: Cross-sectional studies. Indian Journal of Dermatology, 61(3), 261.

https://doi.org/10.4103/0019-5154.182410

Topping, K. J. (2005). Trends in peer learning. Educational Psychology, 25(6), 631-645.

https://doi.org/10.1080/01443410500345172

World Health Organization. (2010). Framework for action on interprofessional education and collaborative practice. https://www.who.int/publications/i/item/WHO-HRH-HPN-10.3

World Health Organization. (2013). Transforming and scaling up health professionals' education and training: World Health Organization guidelines 2013. World Health Organization.

Yorke, M., & Thomas, L. (2003). Improving the retention of students from lower socio-economic groups. Journal of Higher Education Policy and Management, 25(1), 63-74.

https://doi.org/10.1080/13600800305737

Zhang, Y., & Maconochie, M. (2022). Peer-assisted learning in health professions education: A systematic review. Medical Education Online, 27.

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Published

2026-10-23

How to Cite

Abuti Ogot, J. ., Mengich, G., & Chemjor, H. (2026). Utilization of innovative teaching- learning strategies on students academic performance in undergraduate health sciences programs at Masinde Muliro University of Science and Technology, Kenya. African Journal of Empirical Research, 7(4), 779-794. https://doi.org/10.51867/ajernet.7.4.64