Towards self-regulated tutoring system: Quantitative study of students' self-regulation strategies during learning episodes

Students' self-regulation ability is an important component for a successful emotionally intelligent tutoring system. Emotion-focused and problem-focused strategies have been recognized as the commonly used strategies by individuals for self-regulation. However, very little work has been done t...

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Main Authors: Yusoff, M.Z.M., Zin, N.A.M.
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Published: 2018
Online Access:http://dspace.uniten.edu.my/jspui/handle/123456789/8287
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spelling my.uniten.dspace-82872018-02-15T02:43:32Z Towards self-regulated tutoring system: Quantitative study of students' self-regulation strategies during learning episodes Yusoff, M.Z.M. Zin, N.A.M. Students' self-regulation ability is an important component for a successful emotionally intelligent tutoring system. Emotion-focused and problem-focused strategies have been recognized as the commonly used strategies by individuals for self-regulation. However, very little work has been done to model self-regulation strategies in affective tutoring system. Thus, this paper presents a qualitative study on students' self-regulation strategies in dealing with potential stressful condition during their learning episodes so that a better framework of suitable adaptive action and reaction by emotionally intelligent tutoring system can be modelled. To get better insight, comparison between genders is also conducted. Results from this study indicate that students used both emotion-focused and problem-focused strategies in dealing with stressful learning episodes. Also, selection of self-regulation strategies is influenced by students' gender. © 2011 IEEE. 2018-02-15T02:43:32Z 2018-02-15T02:43:32Z 2011 http://dspace.uniten.edu.my/jspui/handle/123456789/8287
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Students' self-regulation ability is an important component for a successful emotionally intelligent tutoring system. Emotion-focused and problem-focused strategies have been recognized as the commonly used strategies by individuals for self-regulation. However, very little work has been done to model self-regulation strategies in affective tutoring system. Thus, this paper presents a qualitative study on students' self-regulation strategies in dealing with potential stressful condition during their learning episodes so that a better framework of suitable adaptive action and reaction by emotionally intelligent tutoring system can be modelled. To get better insight, comparison between genders is also conducted. Results from this study indicate that students used both emotion-focused and problem-focused strategies in dealing with stressful learning episodes. Also, selection of self-regulation strategies is influenced by students' gender. © 2011 IEEE.
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author Yusoff, M.Z.M.
Zin, N.A.M.
spellingShingle Yusoff, M.Z.M.
Zin, N.A.M.
Towards self-regulated tutoring system: Quantitative study of students' self-regulation strategies during learning episodes
author_facet Yusoff, M.Z.M.
Zin, N.A.M.
author_sort Yusoff, M.Z.M.
title Towards self-regulated tutoring system: Quantitative study of students' self-regulation strategies during learning episodes
title_short Towards self-regulated tutoring system: Quantitative study of students' self-regulation strategies during learning episodes
title_full Towards self-regulated tutoring system: Quantitative study of students' self-regulation strategies during learning episodes
title_fullStr Towards self-regulated tutoring system: Quantitative study of students' self-regulation strategies during learning episodes
title_full_unstemmed Towards self-regulated tutoring system: Quantitative study of students' self-regulation strategies during learning episodes
title_sort towards self-regulated tutoring system: quantitative study of students' self-regulation strategies during learning episodes
publishDate 2018
url http://dspace.uniten.edu.my/jspui/handle/123456789/8287
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score 13.160551