Contextualized reflective support in designing instruction based on both theory and practice

Toshinobu Kasai, Kazuo Nagano, Riichiro Mizoguchi

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

Abstract

In this study, we developed a system called FIMA (Flexible Instructional Design Support Multi-Agent System) that dynamically supports teachers in designing instruction by facilitating their thinking ways according to the characteristics of those of expert teachers. In the present study, we focused on a support to facilitate teachers' contextualized thinking included in the processes of expert teachers based on instructional/learning theories. In order to provide such support, we make use of the OMNIBUS ontology, which describes knowledge extracted from instructional/learning theories and best practices.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education - 15th International Conference, AIED 2011
Pages481-483
Number of pages3
DOIs
Publication statusPublished - 2011
Event15th International Conference on Artificial Intelligence in Education, AIED 2011 - Auckland, New Zealand
Duration: Jun 28 2011Jul 1 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6738 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Artificial Intelligence in Education, AIED 2011
CountryNew Zealand
CityAuckland
Period6/28/117/1/11

Keywords

  • Instructional Design
  • Instructional/Learning Theories
  • Multi-Agent
  • Ontology

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kasai, T., Nagano, K., & Mizoguchi, R. (2011). Contextualized reflective support in designing instruction based on both theory and practice. In Artificial Intelligence in Education - 15th International Conference, AIED 2011 (pp. 481-483). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6738 LNAI). https://doi.org/10.1007/978-3-642-21869-9_76