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Leveraging a task-specific approach for intelligent tutoring system generation:comparing the generic tasks and KADS frameworks
Conference proceeding   Peer reviewed

Leveraging a task-specific approach for intelligent tutoring system generation:comparing the generic tasks and KADS frameworks

Eman El-Sheikh and Jon Sticklen
Multiple Approaches to Intelligent Systems, pp.809-819
Lecture Notes in Computer Science, 1611
International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems IEA/AIE-99, 12th (Cairo, Egypt, 05/31/1999–06/03/1999)
01/01/1999
DOI: https://doi.org/10.1007/978-3-540-48765-4_86
Web of Science ID: WOS:000086482000086

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Abstract

There is a need for easier, more cost-effective means of developing intelligent tutoring systems (ITSs). A novel and advantageous solution to this problem is proposed here: the development of task-specific ITS shells that can generate tutoring systems for different domains within a given class of tasks. Task-specific authoring shells offer flexibility in generating ITSs for different domains, while still being powerful enough to build knowledgeable tutors. Two widely adopted task-specific methodologies, GTs and KADS, are examined and compared in the context of automatic generation of intelligent tutoring systems.

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