Self-Regulation and the Mental Representation-Based Task Analysis: A Case Study in a Web-Based Course

Document Type

Conference Proceeding

Publication Date

10-9-2012

Publication Title

Proceedings of E-Learn 2012--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education

Abstract

Learning on the Web requires considerable self-direction. The purpose of this study is to explore how an online instructor promotes self-regulated learners with the self-regulatory matrix. Adopting Zimmerman’s model, the project adopted the mental representation-based task analysis to create an integral planning and management skill tool which allows us to promote self-regulated learners in a Web-based course. Implications and suggestions on enhancing self-regulation in a Web-based course will be offered for both students and faculty members.

Comments

© 2012 Association for the Advancement of Computing in Education (AACE)

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