TY - GEN
T1 - Analyzing Graduate Students' Behaviors of Self-regulated Learning in a Blended Learning Environment
AU - Chen, Wei
AU - Cheng, Hercy N.H.
N1 - Funding Information:
6. ACKNOWLEDGMENTS This study was financially supported by the Fundamental Research Funds for the Central Universities (CCNU19QN034).
Publisher Copyright:
© 2020 ACM.
PY - 2020/3/28
Y1 - 2020/3/28
N2 - Previous studies have shown that learners' self-regulated learning in blended learning is closely related to their learning performance. However, it is unclear how self-regulated learners demonstrate their behaviors in blended learning environments. In this study, an academic reading and writing system was taken as a tool to collect graduate students' learning behaviors. The participants were the first-year graduate students, who took a blended course. In the course, they were required to read literature, do in/post-reading activities, take assessment and write essays in the system before classes every week. In order to further understand the behavior patterns of self-regulated graduate students, the participants were divided as high and low self-regulated learning group. The results showed that although both groups used similar times of system functions, they demonstrated different behavior patterns in terms of lag sequential analysis. Furthermore, the high self-regulated learners tended to look back at what they had done, and flexibly adjust their actions of reading and writing papers. On the contrary, instead of paper writing, the low self-regulated learners might treat tests as their goals and demonstrate simpler behavior patterns.
AB - Previous studies have shown that learners' self-regulated learning in blended learning is closely related to their learning performance. However, it is unclear how self-regulated learners demonstrate their behaviors in blended learning environments. In this study, an academic reading and writing system was taken as a tool to collect graduate students' learning behaviors. The participants were the first-year graduate students, who took a blended course. In the course, they were required to read literature, do in/post-reading activities, take assessment and write essays in the system before classes every week. In order to further understand the behavior patterns of self-regulated graduate students, the participants were divided as high and low self-regulated learning group. The results showed that although both groups used similar times of system functions, they demonstrated different behavior patterns in terms of lag sequential analysis. Furthermore, the high self-regulated learners tended to look back at what they had done, and flexibly adjust their actions of reading and writing papers. On the contrary, instead of paper writing, the low self-regulated learners might treat tests as their goals and demonstrate simpler behavior patterns.
KW - academic reading and writing
KW - blended learning
KW - lag sequential analysis
KW - learning behaviors
KW - self-regulated learning
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U2 - 10.1145/3395245.3396416
DO - 10.1145/3395245.3396416
M3 - Conference contribution
AN - SCOPUS:85085924666
T3 - ACM International Conference Proceeding Series
SP - 53
EP - 57
BT - Proceedings of the 2020 8th International Conference on Information and Education Technology, ICIET 2020
PB - Association for Computing Machinery, Inc
T2 - 8th International Conference on Information and Education Technology, ICIET 2020
Y2 - 28 March 2020 through 30 March 2020
ER -