Some expert systems need common sense
Proc. of a symposium on Computer culture: the scientific, intellectual, and social impact of the computer
Generality in artificial intelligence
Communications of the ACM
The design of joint cognitive systems: the effect of cognitive coupling on performance
International Journal of Human-Computer Studies
Interactive multimedia pedagogies: report of the working group on interactive multimedia pedagogy
ITiCSE '96 Proceedings of the 1st conference on Integrating technology into computer science education
Effective Learning in Dynamic Environments by Explicit Context Tracking
ECML '93 Proceedings of the European Conference on Machine Learning
Applied Artificial Intelligence for Teaching Numeric Topics in Engineering Disciplines
CALISCE '96 Proceedings of the Third International Conference on Computer Aided Learning and Instruction in Science and Engineering
The Knowledge Engineering Review
Intelligent tutoring tools-a problem solving framework for learning and assessment
FIE '96 Proceedings of the 26th Annual Frontiers in Education - Volume 01
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The notion of context has been an issue of research in various aspects of intelligent systems such as knowledge management, natural language processing, reasoning and so on. This paper focuses on the various contexts surrounding the design and use of Intelligent Tutoring Systems (ITS) and proposes an initial framework of contexts by classifying them into three major groupings: interactional, environmental and objectival contexts. Interactional contexts are used by the system, environmental contexts surround its design and use while objectival contexts refer to the objectives of an educational system as exhibited by its ‘teaching’ and ‘assessment’ practices. A better understanding of these contexts is essential for designing better and more usable intelligent tutoring systems.