A User Modeling Framework for Exploring Creative Problem-Solving Ability

Hao Chuan Wang, Tsai Yen Li, Chun Yen Chang

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

7 Citations (Scopus)

Abstract

This research proposes a user modeling framework which aims to assess and model users' creative problem-solving ability from their self-explained ideas for a specific scenario of problem-solving. The proposed framework, User Problem-Solving Ability Modeler (UPSAM), is mainly designed to accommodate to the needs of studying students' Creative Problem-Solving (CPS) abilities in the area of science education. The use of open-ended essay-question-type instrument and bipartite graph-based modeling technique together provides a potential solution of user model elicitation for CPS. The computational model has several potential applications in educational research and practice, including automated scoring, buggy concepts diagnosis, novel ideas detection, and supporting advanced studies of human creativity.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education
Subtitle of host publicationSupporting Learning through Intelligent and Socially Informed Technology
EditorsChee-Kit Looi, Gord McCalla, Bert Bredeweg, Joost Breuker
PublisherIOS Press BV
Pages941-943
Number of pages3
ISBN (Electronic)1586035304, 9781586035303
Publication statusPublished - 2005
Event12th International Conference on Artificial Intelligence in Education, AIED 2005 - Amsterdam, Netherlands
Duration: 2005 Jul 182005 Jul 22

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume125
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference12th International Conference on Artificial Intelligence in Education, AIED 2005
Country/TerritoryNetherlands
CityAmsterdam
Period2005/07/182005/07/22

ASJC Scopus subject areas

  • Artificial Intelligence

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