A category-based self-improving planning module

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 automatic...

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Main Author:	Legaspi, Roberta
Format:	text
Published:	Animo Repository 2004
Subjects:	Computer-assisted instruction Intelligent tutoring systems Computer Sciences Educational Technology
Online Access:	https://animorepository.dlsu.edu.ph/faculty_research/4253
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Institution:	De La Salle University

id	oai:animorepository.dlsu.edu.ph:faculty_research-5241
record_format	eprints
spelling	oai:animorepository.dlsu.edu.ph:faculty_research-52412021-12-13T08:32:38Z A category-based self-improving planning module Legaspi, Roberta 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. 2004-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/4253 info:doi/10.1007/978-3-540-30139-4_52 Faculty Research Work Animo Repository Computer-assisted instruction Intelligent tutoring systems Computer Sciences Educational Technology
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
topic	Computer-assisted instruction Intelligent tutoring systems Computer Sciences Educational Technology
spellingShingle	Computer-assisted instruction Intelligent tutoring systems Computer Sciences Educational Technology Legaspi, Roberta A category-based self-improving planning module
description	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.
format	text
author	Legaspi, Roberta
author_facet	Legaspi, Roberta
author_sort	Legaspi, Roberta
title	A category-based self-improving planning module
title_short	A category-based self-improving planning module
title_full	A category-based self-improving planning module
title_fullStr	A category-based self-improving planning module
title_full_unstemmed	A category-based self-improving planning module
title_sort	category-based self-improving planning module
publisher	Animo Repository
publishDate	2004
url	https://animorepository.dlsu.edu.ph/faculty_research/4253
_version_	1767196091822899200

A category-based self-improving planning module

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