Enhancing human physiology education through active learning and digital tools: a modern pedagogical approach
Elyorbek Rakhmatullaev , Senior lecturer, Department of Physiology and Pathology, Tashkent State Dental Institute, Tashkent, Uzbekistan Nodira Khujayeva , PhD, senior lecturer, Department of Physiology and Pathology, Tashkent State Dental Institute, Tashkent, Uzbekistan Shakhnoza Rakhmonova , Assistent, Department of Physiology and Pathology, Tashkent State Dental Institute, Tashkent, Uzbekistan Sevara Safarova , Assistent, Department of Physiology and Pathology, Tashkent State Dental Institute, Tashkent, UzbekistanAbstract
Human physiology is a foundational yet challenging subject for health science students. Traditional lecture-based methods often fail to promote deep conceptual understanding. This study evaluates the impact of active learning strategies (e.g., flipped classrooms, case-based learning) and digital tools (virtual labs, interactive simulations) on student performance and engagement. A quasi-experimental design compared exam scores and survey feedback between a control group (traditional lectures) and an experimental group (active/digital methods) across two semesters (N=200). Results showed a 15% increase in exam scores and significantly higher self-reported engagement (p <0.05) in the experimental group. These findings support integrating technology and student-centered pedagogy in physiology education.
Keywords
Human physiology education, active learning, flipped classroom
References
Barrows, H. S., & Tamblyn, R. M. (1980). Problem-based learning: An approach to medical education. Springer.
Bergmann, J., & Sams, A. (2012). Flip your classroom: Reach every student in every class every day. International Society for Technology in Education.
Carroll, R. G., Dee, F. R., Halama, J. R., & O’Connell, M. T. (2020). Faculty development in physiology education: A review of best practices. Advances in Physiology Education, 44(2), 220-226. https://doi.org/10.1152/advan.00123.2019
Dewhurst, D. G., Hardcastle, J., Hardcastle, P. T., & Stuart, E. (2000). Comparison of a computer simulation program and a traditional laboratory practical class for teaching the principles of intestinal absorption. Advances in Physiology Education, 23(1), 37-44. https://doi.org/10.1152/advances.2000.23.1.S37
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
Mayer, R. E. (2005). Cognitive theory of multimedia learning. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (pp. 31-48). Cambridge University Press.
Mazur, E. (1997). Peer instruction: A user’s manual. Prentice Hall.
Metting, P., van der Burgt, S., Kusurkar, R., & Croiset, G. (2019). Digital tools in health sciences education: A systematic review of adoption and effectiveness. Medical Teacher, 41(10), 1131-1141. https://doi.org/10.1080/0142159X.2019.1638513
Michael, J. A. (2006). Where’s the evidence that active learning works? Advances in Physiology Education, 30(4), 159-167. https://doi.org/10.1152/advan.00053.2006
Michael, J. A., Richardson, D., Rovick, A., Modell, H., Bruce, D., Horwitz, B., & Silverthorn, D. U. (2017). Undergraduate students’ misconceptions about respiratory physiology. Advances in Physiology Education, 41(3), 382-389. https://doi.org/10.1152/advan.00064.2016
Michaelsen, L. K., Knight, A. B., & Fink, L. D. (2008). Team-based learning: A transformative use of small groups in college teaching. Stylus Publishing.
Moeller, J., Ivcevic, Z., Brackett, M. A., & White, A. E. (2018). Mixed emotions: Network analyses of intra-individual co-occurrences within and across situations. Emotion, 18(8), 1106-1121. https://doi.org/10.1037/emo0000419
Wang, A. I., Zhu, M., & Saetre, R. (2020). The effect of digitizing and gamifying quizzing in classrooms. Educational Technology & Society, 23(3), 1-14.
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