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Understanding College Students' Behavioral Patterns in a Blended Learning Class

Authors :
Hengtao Tang
Yeye Tang
Miao Dai
Xu Du
Jui-Long Hung
Hao Li
Source :
TechTrends: Linking Research and Practice to Improve Learning. 2024 68(2):317-324.
Publication Year :
2024

Abstract

Blended learning, integrating online and in-person components, has been increasingly adopted in higher education to enhance students' learning experience and outcomes. While the advantages of blended learning are well-evidenced, research has primarily focused on the online pre-learning component, neglecting the significance of in-class activities. In-class activities play a crucial role in affording active learning opportunities (e.g., discussion, elaboration), necessitating a systemic understanding of their dynamics. The purpose of this study was thus to systemically investigate college students' learning behaviors during in-class activities in a blended course. In-class activities were video-recorded and labelled manually following a coding scheme. By establishing a linear regression model, the study identified listening to the instructor's lecture and taking notes as two predictors of students' learning gains. Additionally, sequential patterns of learning behaviors during in-class activities were examined. The reciprocal interactions between students' behavior of listening to the lecture and their note-taking actions were noted. The findings of this study contributed to a systemic view of blended learning by shedding light on students' learning behaviors and their implications for instructional practice.

Details

Language :
English
ISSN :
8756-3894 and 1559-7075
Volume :
68
Issue :
2
Database :
ERIC
Journal :
TechTrends: Linking Research and Practice to Improve Learning
Publication Type :
Academic Journal
Accession number :
EJ1414178
Document Type :
Journal Articles<br />Reports - Research
Full Text :
https://doi.org/10.1007/s11528-024-00937-2