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Intelligent medical case based e-learning system

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Ameen, S, Han, SC, Lin, Y, Lah, M and Kang, BH ORCID: 0000-0003-3476-8838 2017 , 'Intelligent medical case based e-learning system', paper presented at the Australasian Conference on Information Systems, 4-6 December, Hobart, Australia.

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Abstract

Educational theory has purported the notion that student-centric modes of learning are more effective in enhancing student engagement and by extension, learning outcomes. However, the translation of this theoretical pedagogy of learning into an applied model for medical training has been fraught with difficulty due to the structural complexity of creating a classroom environment that enables students to exercise full autonomy. In this paper, we propose an intelligent computational e-learning platform for case-based learning (CBL) in Medicine that enriches and enhances the learning experiences of medical students by exposing them to simulated real-world clinical contexts. We argue that computational systems in Medicine should not merely provide a passive outlay of information, but instead promote active engagement through an immersive learning experience. This is achieved through a digital platform that renders a virtual patient simulation, which allows students to assess, diagnose, treat and test patients as they would in the real-world.

Item Type: Conference or Workshop Item (Paper)
Authors/Creators:Ameen, S and Han, SC and Lin, Y and Lah, M and Kang, BH
Keywords: case-based learning, medical education, e-learning
Journal or Publication Title: Proceedings from the Australasian Conference on Information Systems
Copyright Information:

Copyright 2017 Saleem Ameen, Soyeon Caren Han, Yingru Lin, Minjae Lah, and Byeong Ho Kang. Licensed under Creative Commons Attribution-NonCommercial 3.0 Australia (CC BY-NC 3.0 AU) https://creativecommons.org/licenses/by-nc/3.0/au/

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