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Developing an E-Learning Platform Capable of Being Aware of Self-Regulated Learning Behaviors of Role Models

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Conventional e-learning platforms require a high self-regulatory learning (SRL) ability to ensure learning effectiveness. However, because not everyone has high autonomy and a high SRL ability, many students quit during… Click to show full abstract

Conventional e-learning platforms require a high self-regulatory learning (SRL) ability to ensure learning effectiveness. However, because not everyone has high autonomy and a high SRL ability, many students quit during the online learning period. To enhance the SRL ability, many studies have developed e-learning platforms based on Zimmerman's SRL training model. However, these platforms still require learners to complete a series of provided learning tasks independently and autonomously. This article developed an e-learning platform based on Zimmerman's SRL training model by using role-model group awareness tools to visualize the learning context and activities of the group of role models in each SRL training phase for learners’ observation, self-reflection, and emulation. To test the model, the learning outcomes of the two groups of students enrolled in the same course were measured experimentally. The experimental class consisted of 36 students using the proposed system, whereas the control class consisted of 35 students using a traditional e-learning platform. The experimental class spent more learning time on the platform and achieved better learning results than did the control class. Moreover, the experimental class had gradually improved assessment scores and SRL-related behaviors. The final section presents explanations, discussion, and implications derived from analytical results.

Keywords: platform; role models; class; learning platform; self

Journal Title: IEEE Transactions on Learning Technologies
Year Published: 2022

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