Intelligent Medical Case Based e-Learning System.pdf (582.2 kB)
Intelligent medical case based e-learning system
conference contribution
posted on 2023-05-23, 13:00 authored by Saleem AmeenSaleem Ameen, Han, SC, Lin, Y, Lah, M, Byeong KangByeong KangEducational 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.
History
Publication title
Proceedings from the Australasian Conference on Information SystemsEditors
K Riemer, M Indulska, VK TuunainenPagination
1-12Department/School
School of Information and Communication TechnologyPublisher
Association for Information SystemsPlace of publication
AustraliaEvent title
Australasian Conference on Information SystemsEvent Venue
Hobart, AustraliaDate of Event (Start Date)
2017-12-04Date of Event (End Date)
2017-12-06Rights statement
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/Repository Status
- Open