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 Authors: Legaspi, Roberto S., Sison, Raymund C., Numao, Masayuki
Format: text
Published: Animo Repository 2004
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/9738
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Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-11966
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-119662023-09-22T03:14:54Z A category-based self-improving planning module Legaspi, Roberto S. Sison, Raymund C. Numao, Masayuki 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 self-improvement. 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. 2004-09-01T07:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/9738 Faculty Research Work Animo Repository Intelligent tutoring systems Learning ability Computer Sciences
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 Intelligent tutoring systems
Learning ability
Computer Sciences
spellingShingle Intelligent tutoring systems
Learning ability
Computer Sciences
Legaspi, Roberto S.
Sison, Raymund C.
Numao, Masayuki
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 self-improvement. 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.
format text
author Legaspi, Roberto S.
Sison, Raymund C.
Numao, Masayuki
author_facet Legaspi, Roberto S.
Sison, Raymund C.
Numao, Masayuki
author_sort Legaspi, Roberto S.
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/9738
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