Analysis of Teaching Practice Results for Blended Learning Model in Medical Statistics

DOI

10.2991/978-94-6239-691-3_6How to use a DOI?

Keywords

Medical statistics education; Blended learning model; Teaching reform; Educational practice; Student attitudes; Cognition and needs

Abstract

Medical statistics is a core course in the medical education and essential for cultivating the students’ research skills and clinical decision. However, under the traditional teaching models, the students often have the anxiety, insufficient comprehension and limited skills. Through a brief review and analysis of existing literature, we examine the current status, challenges and reform pathways in medical statistics education. Findings suggest that blended learning models can effectively improve the students’ statistical performance and engagement. Their attitudes, especially perceived cognitive competence, are significantly correlated with the academic outcomes. This work demonstrate that the educational reforms should integrate the online and offline resources, strengthen the clinical scenario-based teaching and focus on the students’ attitudes and competency development. The results of the teaching practice indicate that the experimental group, which adopted blended learning, achieved significantly the higher scores than the control group in the post-test, final examination and group practical reports (p < 0.05). Moreover, their online learning behaviors were positively correlated with academic performance.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jing Zeng
AU  - Jiale Wan
AU  - Yang Shi
AU  - Yuhan Liu
AU  - Kangyu Jia
PY  - 2026
DA  - 2026/05/31
TI  - Analysis of Teaching Practice Results for Blended Learning Model in Medical Statistics
BT  - Proceedings of the 2026 5th International Conference on Educational Innovation and Multimedia Technology (EIMT 2026)
PB  - Atlantis Press
SP  - 42
EP  - 49
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6239-691-3_6
DO  - 10.2991/978-94-6239-691-3_6
ID  - Zeng2026
ER  -