A category-based self-improving planning module
College
College of Computer Studies
Document Type
Article
Source Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
3220
First Page
554
Last Page
563
Publication Date
1-1-2004
Abstract
Though various approaches have been used to tackle the task of instructional planning, the compelling need is for ITSs to improve their own plans dynamically. We have developed a Category-based Self-improving Planning Module (CSPM) for a tutor agent that utilizes the knowledge learned from automatically derived student categories to support efficient on-line selfimprovement. We have tested and validated the learning capability of CSPM to alter its planning knowledge towards achieving effective plans for various student categories using recorded teaching scenarios. © Springer-Verlag 2004 References.
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Digitial Object Identifier (DOI)
10.1007/978-3-540-30139-4_52
Recommended Citation
Legaspi, R. (2004). A category-based self-improving planning module. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3220, 554-563. https://doi.org/10.1007/978-3-540-30139-4_52
Disciplines
Computer Sciences | Educational Technology
Keywords
Computer-assisted instruction; Intelligent tutoring systems
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