The Relationships Between Sequences of Affective States and Learner Achievement

We study the relationships between affective states and sequences and learner achievement using sequential pattern mining techniques. We found, in accordance with prior research, that boredom is an undesirable state that is both persistent and detrimental to learning. We also found that confusion pu...

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Main Authors: Rodriguez, Agustin Martin G, Baker, Ryan S, Nabos, Julieta
Format: text
Published: Archīum Ateneo 2010
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Online Access:https://archium.ateneo.edu/discs-faculty-pubs/113
http://www.columbia.edu/~rsb2162/ICCE2010-RBN.pdf
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Institution: Ateneo De Manila University
id ph-ateneo-arc.discs-faculty-pubs-1112
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spelling ph-ateneo-arc.discs-faculty-pubs-11122020-06-24T08:13:04Z The Relationships Between Sequences of Affective States and Learner Achievement Rodriguez, Agustin Martin G Baker, Ryan S Nabos, Julieta We study the relationships between affective states and sequences and learner achievement using sequential pattern mining techniques. We found, in accordance with prior research, that boredom is an undesirable state that is both persistent and detrimental to learning. We also found that confusion punctuated with periods of engaged concentration contributes to learning. However, confusion alone has a negative impact on student achievement, possibly indicating that students are stuck. These results shed light on past results finding inconsistent relationships between confusion and learning. 2010-01-01T08:00:00Z text https://archium.ateneo.edu/discs-faculty-pubs/113 http://www.columbia.edu/~rsb2162/ICCE2010-RBN.pdf Department of Information Systems & Computer Science Faculty Publications Archīum Ateneo boredom confusion engaged concentration student affect affect sequences student achievement Scatterplot tutor Computer Sciences Science and Mathematics Education
institution Ateneo De Manila University
building Ateneo De Manila University Library
country Philippines
collection archium.Ateneo Institutional Repository
topic boredom
confusion
engaged concentration
student affect
affect sequences
student achievement
Scatterplot tutor
Computer Sciences
Science and Mathematics Education
spellingShingle boredom
confusion
engaged concentration
student affect
affect sequences
student achievement
Scatterplot tutor
Computer Sciences
Science and Mathematics Education
Rodriguez, Agustin Martin G
Baker, Ryan S
Nabos, Julieta
The Relationships Between Sequences of Affective States and Learner Achievement
description We study the relationships between affective states and sequences and learner achievement using sequential pattern mining techniques. We found, in accordance with prior research, that boredom is an undesirable state that is both persistent and detrimental to learning. We also found that confusion punctuated with periods of engaged concentration contributes to learning. However, confusion alone has a negative impact on student achievement, possibly indicating that students are stuck. These results shed light on past results finding inconsistent relationships between confusion and learning.
format text
author Rodriguez, Agustin Martin G
Baker, Ryan S
Nabos, Julieta
author_facet Rodriguez, Agustin Martin G
Baker, Ryan S
Nabos, Julieta
author_sort Rodriguez, Agustin Martin G
title The Relationships Between Sequences of Affective States and Learner Achievement
title_short The Relationships Between Sequences of Affective States and Learner Achievement
title_full The Relationships Between Sequences of Affective States and Learner Achievement
title_fullStr The Relationships Between Sequences of Affective States and Learner Achievement
title_full_unstemmed The Relationships Between Sequences of Affective States and Learner Achievement
title_sort relationships between sequences of affective states and learner achievement
publisher Archīum Ateneo
publishDate 2010
url https://archium.ateneo.edu/discs-faculty-pubs/113
http://www.columbia.edu/~rsb2162/ICCE2010-RBN.pdf
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