The Effect of Self-Regulated Learning in Online Professional Training

Qiwei Men, Belinda Gimbert and Dean Cristol
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Qiwei Men: Ohio State University, USA
Belinda Gimbert: Ohio State University, USA
Dean Cristol: Ohio State University, USA

International Journal of Mobile and Blended Learning (IJMBL), 2023, vol. 15, issue 2, 1-17

Abstract: With the rapid expansion of mobile, blended, and seamless learning, researchers claim two factors, lack of self-discipline and poor time management, adversely impact learning performance. In online educational environments, reduced social interactions and low engagement levels generate high dropout rates. Self-regulated learning (SRL), the individual ability to check progress toward a goal and manage learning behavior, appears critical to adult online learning success. Clickstream data can observe, record, and evaluate patterns of users' real-time learning behavior in an online learning environment. Linking clickstream data with performance outcomes allows researchers to assess online learning behaviors and academic performance. The guiding research question was: Are students who apply SLR strategies more likely to demonstrate mastery of knowledge and skills in a self-directed e-learning context? Clickstream data and performance measures were analyzed to explore whether task and cognitive conditions influence how SLR strategies are applied in online training.

Date: 2023
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