An intelligent tutoring system with motivation diagnosis and planning

Yong Se Kim, Hyun Jin Cha, You Ra Cho, Tae Bok Yoon, Jee Hyong Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Motivation is a paramount factor to student success in learning. Although it is well known that the learner's motivation and emotional state in educational contexts are very important, they have not been fully addressed in intelligent tutoring systems (ITS). In this paper, a method for integrated motivation diagnosis and motivational planning is described in a manner applied to an operable system. For the motivational diagnosis rules, three different channels of data (performance from interaction with the system, self-report, and answer to system action) are combined. For the motivational planning rules, four different strategies (different learning process according to the motivational state, helps suggestion, different teaching strategies, arousal questions/system actions) are combined. By applying the mechanisms, a tutoring system with motivation diagnosis using fuzzy logic and motivational planning has been implemented.

Original languageEnglish
Title of host publication15th International Conference on Computers in Education
Subtitle of host publicationSupporting Learning Flow through Integrative Technologies, ICCE 2007
StatePublished - 2007
Event15th International Conference on Computers in Education, ICCE 2007 - Hiroshima, Japan
Duration: 5 Nov 20079 Nov 2007

Publication series

Name15th International Conference on Computers in Education: Supporting Learning Flow through Integrative Technologies, ICCE 2007

Conference

Conference15th International Conference on Computers in Education, ICCE 2007
Country/TerritoryJapan
CityHiroshima
Period5/11/079/11/07

Keywords

  • Intelligent tutoring systems
  • Motivation diagnosis
  • Motivational planning

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