From engagement to performance: the role of effort regulation in higher education online learning

被引:3
作者
Han, Shuyun [1 ]
Zhang, Zhaoli [1 ]
Liu, Hai [1 ]
Kong, Weiliang [2 ]
Xue, Zengcan [1 ]
Cao, Taihe [3 ]
Shu, Jiangbo [4 ]
机构
[1] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China
[2] Henan Normal Univ, Fac Educ, Xinxiang, Peoples R China
[3] Beijing Normal Univ, Fac Educ, Beijing, Peoples R China
[4] Cent China Normal Univ, Natl Engn Lab Educ BIG DATA, Wuhan, Peoples R China
基金
中国国家自然科学基金;
关键词
Effort regulation; behavioural engagement; online learning; higher education; self-regulated learning; ACADEMIC-ACHIEVEMENT; STUDENT ENGAGEMENT; SELF-REGULATION; STRATEGIES; TIME; ENVIRONMENT; TECHNOLOGY; MOTIVATION; FRAMEWORK; EFFICACY;
D O I
10.1080/10494820.2023.2273486
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Online learning democratizes and provides flexibility in accessing education, but it also places greater demands on students' self-regulated learning strategies. Previous studies have explored the important impact of effort regulation on academic performance. However, there remains more to explore on the dynamics of effort regulation among undergraduates and their group differences. This study investigates how the effort regulation of the learning process varies between achievement categories in an online learning environment using a sample of 240 undergraduates. Findings suggest that students in the high-achieving group had significantly higher effort regulation throughout the semester than their low-achieving counterparts on three dimensions: conversation, navigation, and click-through events. However, there were no significant differences in task time. Further test results also show that the high-performing students had significantly higher levels of engagement in all behaviours compared low-performing students during anaphase. Surprisingly, all students significantly lowered their effort levels near the final exam period. Results herein ultimately provide insight into the design of online learning environments.
引用
收藏
页码:6607 / 6627
页数:21
相关论文
共 79 条
[1]  
Abulela M. A. A., 2020, Kuram ve Uygulamada Eitim Bilimleri/Educational Sciences: Theory and Practice, V20, P32
[2]   Using learning analytics to develop early-warning system for at-risk students! [J].
Akcapinar, Gokhan ;
Altun, Arif ;
Askar, Petek .
INTERNATIONAL JOURNAL OF EDUCATIONAL TECHNOLOGY IN HIGHER EDUCATION, 2019, 16 (01)
[3]   Exploration of learner-content interactions and learning approaches: The role of guided inquiry in the self-directed online environments [J].
Al Mamun, Md Abdullah ;
Lawrie, Gwendolyn ;
Wright, Tony .
COMPUTERS & EDUCATION, 2022, 178
[4]   Self-regulated learning strategies and non-academic outcomes in higher education blended learning environments: A one decade review [J].
Anthonysamy, Lilian ;
Koo, Ah-Choo ;
Hew, Soon-Hin .
EDUCATION AND INFORMATION TECHNOLOGIES, 2020, 25 (05) :3677-3704
[5]   The Relation Between Student's Effort and Monitoring Judgments During Learning: A Meta-analysis [J].
Baars, Martine ;
Wijnia, Lisette ;
de Bruin, Anique ;
Paas, Fred .
EDUCATIONAL PSYCHOLOGY REVIEW, 2020, 32 (04) :979-1002
[6]   The benefits and caveats of using clickstream data to understand student self-regulatory behaviors: opening the black box of learning processes [J].
Baker, Rachel ;
Xu, Di ;
Park, Jihyun ;
Yu, Renzhe ;
Li, Qiujie ;
Cung, Bianca ;
Fischer, Christian ;
Rodriguez, Fernando ;
Warschauer, Mark ;
Smyth, Padhraic .
INTERNATIONAL JOURNAL OF EDUCATIONAL TECHNOLOGY IN HIGHER EDUCATION, 2020, 17 (01)
[7]   Disengagement, engagement and digital skills in technology-enhanced learning [J].
Bergdahl, Nina ;
Nouri, Jalal ;
Fors, Uno .
EDUCATION AND INFORMATION TECHNOLOGIES, 2020, 25 (02) :957-983
[8]   University students' profiles of online learning and their relation to online metacognitive regulation and internet-specific epistemic justification [J].
Binali, Theerapong ;
Tsai, Chin-Chung ;
Chang, Hsin-Yi .
COMPUTERS & EDUCATION, 2021, 175
[9]   Modeling Student Learning Behavior Patterns in an Online Science Inquiry Environment [J].
Brenner D.G. ;
Matlen B.J. ;
Timms M.J. ;
Gochyyev P. ;
Grillo-Hill A. ;
Luttgen K. ;
Varfolomeeva M. .
Technology, Knowledge and Learning, 2017, 22 (3) :405-425
[10]   Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review [J].
Broadbent, J. ;
Poon, W. L. .
INTERNET AND HIGHER EDUCATION, 2015, 27 :1-13