Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-319-98572-5_54
Title: MedSense: The Development of a Gamified Learning Platform for Undergraduate Medical Education
Authors: Ng J.C.H.
Tham S.Z.
Chew C.R.
Lee A.J.H.
Tay S.M. 
Keywords: Collaborative learning
Gamified learning platform
Personalised feedback
Issue Date: 2018
Publisher: Springer Verlag
Citation: Ng J.C.H., Tham S.Z., Chew C.R., Lee A.J.H., Tay S.M. (2018). MedSense: The Development of a Gamified Learning Platform for Undergraduate Medical Education. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11082 LNCS : 600-604. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-319-98572-5_54
Abstract: Educational technology offers compelling educational possibilities for learners and educators: providing access to online databases, enabling simulation, and facilitating collaborative learning. Technology is rapidly being incorporated within traditional teaching methods to engage the millennial learners accustomed to technology-enhanced learning. Following the success of gamification strategies in medical education such as SonoGames in educating Emergency Medicine residents about the use of point-of-care ultrasound, we aimed to create a gamified learning platform for undergraduate medical education. MedSense is a collaborative gamified learning platform, where students can trial faculty-vetted case-based simulations and share interesting cases with their near-peers. The application is designed to benefit the learning of students and curriculum development by educators based on student performance. Amongst its key features are the case upload panel, game element, free response marking algorithm, recommendation panel and the analytics dashboard. MedSense is currently a prototype under development, which has been well-received by users. Given the success of gamification in other settings, we hope to reiterate the benefits of this education strategy with the development of MedSense. � 2018, Springer Nature Switzerland AG.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/152064
ISBN: 9783319985718
ISSN: 03029743
DOI: 10.1007/978-3-319-98572-5_54
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