Emotional Engagement Index: A Novel Tool to Measure Emotional Engagement in Blended Learning

Emotional engagement is one of the core elements for implementing impactful learning experience in education as well as professional training. This element however is often been reported through self-administered questionnaire or psychometric approach. That approach may not capable to represent the...

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Main Authors: Aziman, Abdullah, Asar, Abdul Karim, Nur Alnisa’ Anis Alanna, Ruzelan
Format: Conference or Workshop Item
Language:English
Published: Universiti Malaysia Sarawak (UNIMAS) 2019
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Online Access:http://umpir.ump.edu.my/id/eprint/26573/1/Emotional%20Engagement%20Index%20A%20Novel%20Tool%20to%20Measure%20Emotional%20Engagement.pdf
http://umpir.ump.edu.my/id/eprint/26573/
https://global.uthm.edu.my/icoel2019/proceeding_icoel2019.pdf
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spelling my.ump.umpir.265732019-11-22T05:00:18Z http://umpir.ump.edu.my/id/eprint/26573/ Emotional Engagement Index: A Novel Tool to Measure Emotional Engagement in Blended Learning Aziman, Abdullah Asar, Abdul Karim Nur Alnisa’ Anis Alanna, Ruzelan BF Psychology Emotional engagement is one of the core elements for implementing impactful learning experience in education as well as professional training. This element however is often been reported through self-administered questionnaire or psychometric approach. That approach may not capable to represent the context of student’s emotion in each session of the class. As a result, there is lack of indicator that measure this affective domain in consistent, simple and systematic manner. This study proposed a simple online attendance that include emotional icon or emoji as a graphical clue for students to indicate their feelings in the class during attendance signing process. The population or number of students in this study is 45. Student emotion data from each attended face-to-face session has been analyzed in formulating an emotional engagement index for each student in class. The index is a ration value from the frequency of the emotion against total class session in a semester. Based on the index, this study adopts a simple linear regression method and found that there is a positive relationship between emotion and the attainment of course learning outcomes with r =0.4557 for the cognitive domain. The proposed emotional index formulated based on emoji data is a novel approach for educators to measure student emotional engagement in blended learning environment. Universiti Malaysia Sarawak (UNIMAS) 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26573/1/Emotional%20Engagement%20Index%20A%20Novel%20Tool%20to%20Measure%20Emotional%20Engagement.pdf Aziman, Abdullah and Asar, Abdul Karim and Nur Alnisa’ Anis Alanna, Ruzelan (2019) Emotional Engagement Index: A Novel Tool to Measure Emotional Engagement in Blended Learning. In: Proceeding of International Conference on E-Learning (ICOEL 2019), 21-22 August 2019 , Universiti Malaysia Sarawak (UNIMAS), Sarawak, Malaysia. pp. 102-113.. ISBN 978-967-2145-70-7 (E) https://global.uthm.edu.my/icoel2019/proceeding_icoel2019.pdf
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic BF Psychology
spellingShingle BF Psychology
Aziman, Abdullah
Asar, Abdul Karim
Nur Alnisa’ Anis Alanna, Ruzelan
Emotional Engagement Index: A Novel Tool to Measure Emotional Engagement in Blended Learning
description Emotional engagement is one of the core elements for implementing impactful learning experience in education as well as professional training. This element however is often been reported through self-administered questionnaire or psychometric approach. That approach may not capable to represent the context of student’s emotion in each session of the class. As a result, there is lack of indicator that measure this affective domain in consistent, simple and systematic manner. This study proposed a simple online attendance that include emotional icon or emoji as a graphical clue for students to indicate their feelings in the class during attendance signing process. The population or number of students in this study is 45. Student emotion data from each attended face-to-face session has been analyzed in formulating an emotional engagement index for each student in class. The index is a ration value from the frequency of the emotion against total class session in a semester. Based on the index, this study adopts a simple linear regression method and found that there is a positive relationship between emotion and the attainment of course learning outcomes with r =0.4557 for the cognitive domain. The proposed emotional index formulated based on emoji data is a novel approach for educators to measure student emotional engagement in blended learning environment.
format Conference or Workshop Item
author Aziman, Abdullah
Asar, Abdul Karim
Nur Alnisa’ Anis Alanna, Ruzelan
author_facet Aziman, Abdullah
Asar, Abdul Karim
Nur Alnisa’ Anis Alanna, Ruzelan
author_sort Aziman, Abdullah
title Emotional Engagement Index: A Novel Tool to Measure Emotional Engagement in Blended Learning
title_short Emotional Engagement Index: A Novel Tool to Measure Emotional Engagement in Blended Learning
title_full Emotional Engagement Index: A Novel Tool to Measure Emotional Engagement in Blended Learning
title_fullStr Emotional Engagement Index: A Novel Tool to Measure Emotional Engagement in Blended Learning
title_full_unstemmed Emotional Engagement Index: A Novel Tool to Measure Emotional Engagement in Blended Learning
title_sort emotional engagement index: a novel tool to measure emotional engagement in blended learning
publisher Universiti Malaysia Sarawak (UNIMAS)
publishDate 2019
url http://umpir.ump.edu.my/id/eprint/26573/1/Emotional%20Engagement%20Index%20A%20Novel%20Tool%20to%20Measure%20Emotional%20Engagement.pdf
http://umpir.ump.edu.my/id/eprint/26573/
https://global.uthm.edu.my/icoel2019/proceeding_icoel2019.pdf
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score 13.211869