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...
Main Author: | |
---|---|
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 |
_version_ | 1797194499340894208 |
---|---|
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.
|
first_indexed | 2024-03-07T15:41:10Z |
format | Article |
id | doaj.art-f492c0c910ca46049089a2cb438f56e9 |
institution | Directory Open Access Journal |
issn | 0132-2818 2335-898X |
language | English |
last_indexed | 2024-04-24T05:57:15Z |
publishDate | 2005-12-01 |
publisher | Vilnius University Press |
record_format | Article |
series | Lietuvos Matematikos Rinkinys |
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 |