Identification of Effective Learning Behaviors

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.

Authors and Affiliations

1. The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan

   Paul Salvador Inventado, Roberto Legaspi, Rafael Cabredo, Koichi Moriyama, Ken-ichi Fukui, Satoshi Kurihara & Masayuki Numao

2. Center for Empathic Human-Computer Interface, College of Computer Studies, De La Salle University, 2401 Taft Avenue, Manila, Philippines

   Paul Salvador Inventado & Rafael Cabredo

Editors and Affiliations

1. Institute for Creative Technologies, University of Southern California, 12015 Waterfront Dr., 90094, Playa Vista, CA, USA

   H. Chad Lane

2. School of Information Technologies, University of Sydney, 2006, Sydney, NSW, Australia

   Kalina Yacef

3. School of Computer Science, Carnegie Mellon University, 5000 Forbes Avenue, 15213, Pittsburgh, PA, USA

   Jack Mostow

4. Department of Psychology, University of Memphis, 38152, Memphis, TN, USA

   Philip Pavlik

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