混合学习
数学教育
体验式学习
教育学
计算机科学
混合学习
工程类
高等教育
电子学习
心理学
主动学习(机器学习)
医学教育
工程教育
作者
Lingna Li,Nan Yao,Xinyue Hu,Lili Wang,Junhong Xie,Guopeng Zeng
出处
期刊:International Conference on Educational and Information Technology
[Institute of Electrical and Electronics Engineers]
日期:2026-03-27
卷期号:: 751-756
被引量:1
标识
DOI:10.1109/iceit68991.2026.11521405
摘要
As digital transformation in education advances, blended learning is evolving from an innovative approach into a mainstream format in higher education, significantly reshaping traditional teaching ecosystems. Current research presents inconsistent findings on how blended learning affects student outcomes in undergraduate science courses. To address this, a meta-analysis was conducted, synthesizing 28 empirical studies from China and abroad. The results indicate that: (1) Blended learning has a moderately positive overall effect on learning outcomes in university science courses; (2) Regarding instructional design, full-semester duration, small teaching scale, and a moderate proportion of online learning show stronger effectiveness; (3) In terms of instructional support, videos and reading materials play the most essential foundational role, while learning management systems prove more effective than online meeting tools; (4) Regarding assessment, formative evaluation and big data-based comprehensive evaluation outperform summative evaluation. Based on these findings, this study proposes building a blended learning system centered on "scientific cognitive principles", aimed at systematically enhancing students’ disciplinary literacy and higher-order thinking skills through optimized course structure, deeper technology integration, and diversified assessment practices.
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