Fitting Spatial Ability into Intelligent Tutoring Systems Development

Type of content
Conference Contributions - Published
Publisher's DOI/URI
Thesis discipline
Degree name
Publisher
University of Canterbury. School of Educational Studies and Human Development.
University of Canterbury. Computer Science and Software Engineering.
University of Canterbury. UC Opportunity.
Journal Title
Journal ISSN
Volume Title
Language
Date
2007
Authors
Milik, N.
Mitrovic, Antonija
Grimley, M.
Abstract

Building effective learning environments is an art that can only be perfected by a great deal of explorations involving the environments' audience: the learners. This paper focuses on taking into account the learners' spatial ability into the development of Intelligent Tutoring Systems. We modified ERM-Tutor, a constraint-based tutor that teaches logical database design, to provide not only textual feedback messages, but also messages containing combinations of text and pictures, in accordance with the multimedia theory of learning [1]. Results of a preliminary study performed show a promising indication for further explorations. We plan to use these results as the basis for another evaluation study in early 2007.

Description
Issue called: Artificial Intelligence in Education - Building Technology Rich Learning Contexts That Work
Citation
Milik, N., Mitrovic, A., Grimley, M. (2007) Fitting Spatial Ability into Intelligent Tutoring Systems Development. Los Angeles, CA, USA: 13th International Conference on Artificial Intelligence in Education (AIED 2007), 9-13 Jul 2007. Frontiers in Artifical Intelligence and Applications, 158, 617-619.
Keywords
Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
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