Identification of effective learning behaviors

College

College of Computer Studies

Department/Unit

Advance Research Institute for Informatics, Computing and Networking

Document Type

Conference Proceeding

Source Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

7926 LNAI

First Page

670

Last Page

673

Publication Date

7-16-2013

Abstract

Self-regulated learners have been shown to learn more effectively. However, it is not easy to become self-regulated because learners have to be capable of observing and evaluating their thoughts, actions and behaviors while learning. In this work, we used Q-learning to reveal the effectiveness or ineffectiveness of a learning behavior that carries over learning episodes. We also showed different types of effective learning behavior discovered and how they were differentiated. Providing learners with knowledge about learning behavior effectiveness can help them observe how strategy selection affects their performance and will help them select more appropriate strategies in succeeding learning episodes for better future performance. © 2013 Springer-Verlag Berlin Heidelberg.

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Digitial Object Identifier (DOI)

10.1007/978-3-642-39112-5-85

Disciplines

Computer Sciences | Education | Educational Psychology

Keywords

Learning, Psychology of; Learning strategies; Independent study; Reinforcement learning

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