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

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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Bibliographic Details
Main Authors: Tan, Sophia Huey Shan, Thibault, Guillaume, Chew, Anna Chia Yin, Rajalingam, Preman
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Journal Article
Language:English
Published: 2022
Subjects:
Social sciences::Education
Automated Marking
Deep Learning
Online Access:https://hdl.handle.net/10356/161921

Internet

https://hdl.handle.net/10356/161921

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