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

• 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
• Subjects: Social sciences::Education; Automated Marking; Deep Learning
• Online Access: https://hdl.handle.net/10356/161921
• Institution: Nanyang Technological University

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,...