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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages481-483
Number of pages3
Volume6738 LNAI
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)03029743
ISSN (Electronic)16113349

Other

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

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Keywords

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

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Kasai, T., Nagano, K., & Mizoguchi, R. (2011). Contextualized reflective support in designing instruction based on both theory and practice. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6738 LNAI, 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