An approach to enrich online medical Problem-Based Learning with tacit healthcare knowledge.
Existing Problem-Based Learning (PBL) problems, though suitable in their own right for teaching purposes, are limited in their potential to evolve by themselves and to create new knowledge. Presently, they are based on textbook examples of past cases and/or cases that have been transcribed by a clinician. In this paper, we present (a) a tacit healthcare knowledge representation formalism called Healthcare Scenarios, (b) the relevance of healthcare scenarios in PBL in healthcare and medicine, (c) a novel PBL-Scenario-based tacit knowledge explication strategy and (d) an online PBL Problem Composer and Presenter (PBL-Online) to facilitate the acquisition and utilisation of expert-quality tacit healthcare knowledge to enrich online PBL. We employ a confluence of healthcare knowledge management tools and Internet technologies to bring tacit healthcare knowledge-enriched PBL to a global and yet more accessible level.
Cheah
Yu-N
YN
Health Informatics Research Group, School of Computer Sciences, Universiti Sains Malaysia, 11800 Penang, Malaysia. yncheah@cs.usm.my
Rashid
Faridah Abdul
FA
Abidi
Syed Sibte Raza
SS
D003194:Computer-Assisted Instruction; D004504:Education, Medical, Undergraduate / Q000379:methods*; D005103:Expert Systems; D005602:France; D006801:Humans; D020407:Internet; D033262:Narration; D009862:Online Systems; D018794:Problem-Based Learning; D014584:User-Computer Interface