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Direct linkYun Tang; Zhengfan Li; Guoyi Wang; Xiangen Hu – Interactive Learning Environments, 2023
To better understand the self-regulated learning process in online learning environments, this research applied a data mining method, the two-layer hidden Markov model (TL-HMM), to explore the patterns of learning activities. We analyzed 25,818 entries of behavior log data from an intelligent tutoring system. Results indicated that students with…
Descriptors: Electronic Learning, Learning Activities, Self Management, Intelligent Tutoring Systems
Avci, Ümmühan; Ergün, Esin – Interactive Learning Environments, 2022
The purpose of this study was to examine online students' LMS activities and the effect on their engagement, information literacy, and academic performance. The participants of the study were 65 undergraduate students enrolled to an online "Computer Literacy" course. Cluster analysis was performed on the log data gathered from LMS…
Descriptors: Electronic Learning, Distance Education, Integrated Learning Systems, Learning Activities
Huang, Biyun; Hew, Khe Foon; Lo, Chung Kwan – Interactive Learning Environments, 2019
In recent years, flipped learning has attracted much attention around the world. This instructional approach is appealing because it can free up class time for knowledge application activities with help from the instructor and peers. However, its implementation can be fraught with challenges. Student disengagement in out-of-class activities, for…
Descriptors: Game Based Learning, Blended Learning, Instructional Effectiveness, Undergraduate Students
