Identification of effective learning behaviors

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education - 16th International Conference, AIED 2013, Proceedings
Pages670-673
Number of pages4
DOIs
Publication statusPublished - 2013 Jul 16
Externally publishedYes
Event16th International Conference on Artificial Intelligence in Education, AIED 2013 - Memphis, TN, United States
Duration: 2013 Jul 92013 Jul 13

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7926 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th International Conference on Artificial Intelligence in Education, AIED 2013
CountryUnited States
CityMemphis, TN
Period13/7/913/7/13

Fingerprint

Q-learning
Learning
Strategy
Knowledge

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Inventado, P. S., Legaspi, R., Cabredo, R., Moriyama, K., Fukui, K. I., Kurihara, S., & Numao, M. (2013). Identification of effective learning behaviors. In Artificial Intelligence in Education - 16th International Conference, AIED 2013, Proceedings (pp. 670-673). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7926 LNAI). https://doi.org/10.1007/978-3-642-39112-5-85

Identification of effective learning behaviors. / Inventado, Paul Salvador; Legaspi, Roberto; Cabredo, Rafael; Moriyama, Koichi; Fukui, Ken Ichi; Kurihara, Satoshi; Numao, Masayuki.

Artificial Intelligence in Education - 16th International Conference, AIED 2013, Proceedings. 2013. p. 670-673 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7926 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Inventado, PS, Legaspi, R, Cabredo, R, Moriyama, K, Fukui, KI, Kurihara, S & Numao, M 2013, Identification of effective learning behaviors. in Artificial Intelligence in Education - 16th International Conference, AIED 2013, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7926 LNAI, pp. 670-673, 16th International Conference on Artificial Intelligence in Education, AIED 2013, Memphis, TN, United States, 13/7/9. https://doi.org/10.1007/978-3-642-39112-5-85
Inventado PS, Legaspi R, Cabredo R, Moriyama K, Fukui KI, Kurihara S et al. Identification of effective learning behaviors. In Artificial Intelligence in Education - 16th International Conference, AIED 2013, Proceedings. 2013. p. 670-673. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-39112-5-85
Inventado, Paul Salvador ; Legaspi, Roberto ; Cabredo, Rafael ; Moriyama, Koichi ; Fukui, Ken Ichi ; Kurihara, Satoshi ; Numao, Masayuki. / Identification of effective learning behaviors. Artificial Intelligence in Education - 16th International Conference, AIED 2013, Proceedings. 2013. pp. 670-673 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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