Enabling open-ended questions in team-based learning using automated marking: impact on student achievement, learning and engagement

Background: Different types of assessments influence learning and learning behaviour. Multiple-choice questions (MCQs) reward partial knowledge and encourage surface learning, while open-ended questions (OEQs) promote deeper learning. Currently, MCQs is part of team-based learning (TBL) curriculum,...

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Main Authors: Tan, Sophia Huey Shan, Thibault, Guillaume, Chew, Anna Chia Yin, Rajalingam, Preman
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/161921
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1619212022-09-26T06:15:15Z Enabling open-ended questions in team-based learning using automated marking: impact on student achievement, learning and engagement Tan, Sophia Huey Shan Thibault, Guillaume Chew, Anna Chia Yin Rajalingam, Preman Lee Kong Chian School of Medicine (LKCMedicine) School of Biological Sciences Mechanobiology Institute, National University of Singapore Institute of Molecular and Cell Biology, A*STAR, Singapore Center for Teaching, Learning and Pedagogy Social sciences::Education Automated Marking Deep Learning Background: Different types of assessments influence learning and learning behaviour. Multiple-choice questions (MCQs) reward partial knowledge and encourage surface learning, while open-ended questions (OEQs) promote deeper learning. Currently, MCQs is part of team-based learning (TBL) curriculum, and it is challenging to implement OEQs as immediate feedback is necessary. Objectives: We asked if MCQ and OEQs affect student achievement, student learning and student engagement differently in a TBL classroom. Methods: MCQs and OEQs test scores of N = 66 students were automatically captured in Learning Activity Management System (LAMS) and were compared using a switching replications quasi-experimental design with pre- and post-tests to answer the research questions. Student learning approaches and engagement in the team activities were assessed using the study process questionnaire and the structure of observed learning outcomes taxonomy respectively. Results and Conclusions: Students get significantly higher MCQ scores than OEQs for the same set of questions, but the reverse is true for application exercises (AEs), which focus on higher-level application. Most students significantly deepened their learning approaches before OEQs, while poorly prepared students were less engaged during OEQ discussions. Interestingly students subjected to OEQs took less time and scored higher in AE discussions, suggesting better focus on higher-level thinking. Implications: This project is significant as it bridges our understanding of the value of OEQs and TBL. Our approach is transferable to other courses, and thus it can improve the quality of teaching and learning in tertiary education. Nanyang Technological University Nanyang Technological University, Grant/Award Number: EdeX. 2022-09-26T06:15:15Z 2022-09-26T06:15:15Z 2022 Journal Article Tan, S. H. S., Thibault, G., Chew, A. C. Y. & Rajalingam, P. (2022). Enabling open-ended questions in team-based learning using automated marking: impact on student achievement, learning and engagement. Journal of Computer Assisted Learning, 38(5), 1347-1359. https://dx.doi.org/10.1111/jcal.12680 0266-4909 https://hdl.handle.net/10356/161921 10.1111/jcal.12680 2-s2.0-85129252549 5 38 1347 1359 en EdeX Journal of Computer Assisted Learning © 2022 John Wiley & Sons Ltd. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Social sciences::Education
Automated Marking
Deep Learning
spellingShingle Social sciences::Education
Automated Marking
Deep Learning
Tan, Sophia Huey Shan
Thibault, Guillaume
Chew, Anna Chia Yin
Rajalingam, Preman
Enabling open-ended questions in team-based learning using automated marking: impact on student achievement, learning and engagement
description Background: Different types of assessments influence learning and learning behaviour. Multiple-choice questions (MCQs) reward partial knowledge and encourage surface learning, while open-ended questions (OEQs) promote deeper learning. Currently, MCQs is part of team-based learning (TBL) curriculum, and it is challenging to implement OEQs as immediate feedback is necessary. Objectives: We asked if MCQ and OEQs affect student achievement, student learning and student engagement differently in a TBL classroom. Methods: MCQs and OEQs test scores of N = 66 students were automatically captured in Learning Activity Management System (LAMS) and were compared using a switching replications quasi-experimental design with pre- and post-tests to answer the research questions. Student learning approaches and engagement in the team activities were assessed using the study process questionnaire and the structure of observed learning outcomes taxonomy respectively. Results and Conclusions: Students get significantly higher MCQ scores than OEQs for the same set of questions, but the reverse is true for application exercises (AEs), which focus on higher-level application. Most students significantly deepened their learning approaches before OEQs, while poorly prepared students were less engaged during OEQ discussions. Interestingly students subjected to OEQs took less time and scored higher in AE discussions, suggesting better focus on higher-level thinking. Implications: This project is significant as it bridges our understanding of the value of OEQs and TBL. Our approach is transferable to other courses, and thus it can improve the quality of teaching and learning in tertiary education.
author2 Lee Kong Chian School of Medicine (LKCMedicine)
author_facet Lee Kong Chian School of Medicine (LKCMedicine)
Tan, Sophia Huey Shan
Thibault, Guillaume
Chew, Anna Chia Yin
Rajalingam, Preman
format Article
author Tan, Sophia Huey Shan
Thibault, Guillaume
Chew, Anna Chia Yin
Rajalingam, Preman
author_sort Tan, Sophia Huey Shan
title Enabling open-ended questions in team-based learning using automated marking: impact on student achievement, learning and engagement
title_short Enabling open-ended questions in team-based learning using automated marking: impact on student achievement, learning and engagement
title_full Enabling open-ended questions in team-based learning using automated marking: impact on student achievement, learning and engagement
title_fullStr Enabling open-ended questions in team-based learning using automated marking: impact on student achievement, learning and engagement
title_full_unstemmed Enabling open-ended questions in team-based learning using automated marking: impact on student achievement, learning and engagement
title_sort enabling open-ended questions in team-based learning using automated marking: impact on student achievement, learning and engagement
publishDate 2022
url https://hdl.handle.net/10356/161921
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