Making Virtual Learning Environment more intelligent: the problem of software agent’s mental state recognition

Intelligent decision making process, which is performed according to a learner in the Virtual Learning Environment (VLE), leads to the problem of solving several rather complex tasks. Two of them are most of interest. First, we need to train a software agent to recognize its mental state; and secon...

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Main Author: Dalia Baziukaitė
Format: Article
Language:English
Published: Vilnius University Press 2005-12-01
Series:Lietuvos Matematikos Rinkinys
Subjects:
Online Access:https://www.journals.vu.lt/LMR/article/view/29210
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author Dalia Baziukaitė
author_facet Dalia Baziukaitė
author_sort Dalia Baziukaitė
collection DOAJ
description Intelligent decision making process, which is performed according to a learner in the Virtual Learning Environment (VLE), leads to the problem of solving several rather complex tasks. Two of them are most of interest. First, we need to train a software agent to recognize its mental state; and second, we want agent to apply optimal strategy to teach learners when it is in some mental state. The second issue we have discussed in [2]. We propose the agent’s ability to recognise its mental state could be based on the classification result to a particular learner. Classification used to be done should be based on the discovered groups in the database data and classification rules that prescribe given learner to the one of the available clusters. Conceptual clustering seems to be the suitable technique able to provide a solution for the problem raised.
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spelling doaj.art-f492c0c910ca46049089a2cb438f56e92024-04-23T09:01:25ZengVilnius University PressLietuvos Matematikos Rinkinys0132-28182335-898X2005-12-0145spec.10.15388/LMR.2005.29210Making Virtual Learning Environment more intelligent: the problem of software agent’s mental state recognitionDalia Baziukaitė0Klaipeda University Intelligent decision making process, which is performed according to a learner in the Virtual Learning Environment (VLE), leads to the problem of solving several rather complex tasks. Two of them are most of interest. First, we need to train a software agent to recognize its mental state; and second, we want agent to apply optimal strategy to teach learners when it is in some mental state. The second issue we have discussed in [2]. We propose the agent’s ability to recognise its mental state could be based on the classification result to a particular learner. Classification used to be done should be based on the discovered groups in the database data and classification rules that prescribe given learner to the one of the available clusters. Conceptual clustering seems to be the suitable technique able to provide a solution for the problem raised. https://www.journals.vu.lt/LMR/article/view/29210agent’s stateclusteringconceptual clusteringmachine learningvirtual learning environment
spellingShingle Dalia Baziukaitė
Making Virtual Learning Environment more intelligent: the problem of software agent’s mental state recognition
Lietuvos Matematikos Rinkinys
agent’s state
clustering
conceptual clustering
machine learning
virtual learning environment
title Making Virtual Learning Environment more intelligent: the problem of software agent’s mental state recognition
title_full Making Virtual Learning Environment more intelligent: the problem of software agent’s mental state recognition
title_fullStr Making Virtual Learning Environment more intelligent: the problem of software agent’s mental state recognition
title_full_unstemmed Making Virtual Learning Environment more intelligent: the problem of software agent’s mental state recognition
title_short Making Virtual Learning Environment more intelligent: the problem of software agent’s mental state recognition
title_sort making virtual learning environment more intelligent the problem of software agent s mental state recognition
topic agent’s state
clustering
conceptual clustering
machine learning
virtual learning environment
url https://www.journals.vu.lt/LMR/article/view/29210
work_keys_str_mv AT daliabaziukaite makingvirtuallearningenvironmentmoreintelligenttheproblemofsoftwareagentsmentalstaterecognition