Can Affect Be Detected from Intelligent Tutoring System Interaction Data?–A Preliminary Study

Can Affect Be Detected from Intelligent Tutoring System Interaction Data?–A Preliminary Study

This study attempted to determine if it is possible to create an automatic affect detector using a combination of semantic and keystroke data. While the resulting models attained detection accuracies comparable with other studies, their reliabilities were not ideal. One model however shows that inte...

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Main Authors: Anglo, Elizabeth A, Rodrigo, Ma. Mercedes T
Format: text
Published: Archīum Ateneo 2010
Subjects:
Aplusix
affect
interaction data
learner modeling
Computer Sciences
Online Access:https://archium.ateneo.edu/discs-faculty-pubs/172
https://link.springer.com/chapter/10.1007/978-3-642-13437-1_38
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Institution: Ateneo De Manila University
id ph-ateneo-arc.discs-faculty-pubs-1171
record_format eprints
spelling ph-ateneo-arc.discs-faculty-pubs-11712020-06-30T06:11:57Z Can Affect Be Detected from Intelligent Tutoring System Interaction Data?–A Preliminary Study Anglo, Elizabeth A Rodrigo, Ma. Mercedes T This study attempted to determine if it is possible to create an automatic affect detector using a combination of semantic and keystroke data. While the resulting models attained detection accuracies comparable with other studies, their reliabilities were not ideal. One model however shows that interaction logs may have a potential as a detector for confusion. 2010-01-01T08:00:00Z text https://archium.ateneo.edu/discs-faculty-pubs/172 https://link.springer.com/chapter/10.1007/978-3-642-13437-1_38 Department of Information Systems & Computer Science Faculty Publications Archīum Ateneo Aplusix affect interaction data learner modeling Computer Sciences
institution Ateneo De Manila University
building Ateneo De Manila University Library
country Philippines
collection archium.Ateneo Institutional Repository
topic Aplusix
affect
interaction data
learner modeling
Computer Sciences
spellingShingle Aplusix
affect
interaction data
learner modeling
Computer Sciences
Anglo, Elizabeth A
Rodrigo, Ma. Mercedes T
Can Affect Be Detected from Intelligent Tutoring System Interaction Data?–A Preliminary Study
description This study attempted to determine if it is possible to create an automatic affect detector using a combination of semantic and keystroke data. While the resulting models attained detection accuracies comparable with other studies, their reliabilities were not ideal. One model however shows that interaction logs may have a potential as a detector for confusion.
format text
author Anglo, Elizabeth A
Rodrigo, Ma. Mercedes T
author_facet Anglo, Elizabeth A
Rodrigo, Ma. Mercedes T
author_sort Anglo, Elizabeth A
title Can Affect Be Detected from Intelligent Tutoring System Interaction Data?–A Preliminary Study
title_short Can Affect Be Detected from Intelligent Tutoring System Interaction Data?–A Preliminary Study
title_full Can Affect Be Detected from Intelligent Tutoring System Interaction Data?–A Preliminary Study
title_fullStr Can Affect Be Detected from Intelligent Tutoring System Interaction Data?–A Preliminary Study
title_full_unstemmed Can Affect Be Detected from Intelligent Tutoring System Interaction Data?–A Preliminary Study
title_sort can affect be detected from intelligent tutoring system interaction data?–a preliminary study
publisher Archīum Ateneo
publishDate 2010
url https://archium.ateneo.edu/discs-faculty-pubs/172
https://link.springer.com/chapter/10.1007/978-3-642-13437-1_38
_version_ 1681506701137674240

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