Blended Learning Effectiveness and College Students’ Deep Learning Perceptions: The Community of Inquiry Perspective

Authors

  • Dandan Shen School of Computer Science and Intelligence Education, Lingnan Normal University, Guangdong, China
  • Chiung-Sui Chang Tamkang University, Taiwan https://orcid.org/0000-0002-6035-4818
  • Junjie Yang School of Computer Science and Intelligence Education, Lingnan Normal University, Guangdong, China

DOI:

https://doi.org/10.19173/irrodl.v26i4.8309

Keywords:

blended learning, learning effectivenes, deep learning perception, Col, higher education, Community of Inquiry

Abstract

Emerging technologies and innovative instructional methods have revolutionized education, making blended learning the new standard in the artificial intelligence era. However, poor integration of online and face-to-face learning has led to challenges such as superficial student engagement. This study developed a Community of Inquiry-based blended learning model and evaluated its effectiveness with 92 college students using a quasi-experimental approach. Over 16 weeks, the experimental group (n = 48) adopted the blended learning model, while the control group (n = 44) used traditional learning conditions. Learning effectiveness and deep learning perceptions were evaluated, revealing the blended learning group demonstrated superior learning effectiveness (d = 0.83) and reported higher deep learning perceptions (η2 = .05–.072) compared to the traditional learning group. These results provide valuable insights for educators aiming to design blended learning models that foster deep learning and improve overall learning effectiveness.

Author Biographies

Dandan Shen, School of Computer Science and Intelligence Education, Lingnan Normal University, Guangdong, China

Dandan Shen is an Associate Professor of the School of Computer Science and Intelligence Education at Lingnan Normal University, China. Her research interests focus on deeper learning, blended learning design, and technology integrated into teaching

Chiung-Sui Chang, Tamkang University, Taiwan

Chiung-Sui Chang is a Professor of the Department of Educational Technology at Tamkang University in Taiwan. Her scholarly interests involve game-based learning, online learning, emerging learning technologies, and innovative teaching strategies

Junjie Yang, School of Computer Science and Intelligence Education, Lingnan Normal University, Guangdong, China

Junjie Yang is an Associate Professor of the School of Computer Science and Intelligence Education at Lingnan Normal University, China. His research interests are in the use of computer technology in education.

 

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Published

2025-11-21

How to Cite

Shen, D., Chang, C.-S., & Yang, J. (2025). Blended Learning Effectiveness and College Students’ Deep Learning Perceptions: The Community of Inquiry Perspective. The International Review of Research in Open and Distributed Learning, 26(4), 38–60. https://doi.org/10.19173/irrodl.v26i4.8309

Issue

Section

Research Articles