- Title
- An intelligent learning environment for traditional Chinese medicine practitioners and students
- Creator
- Jia, Long; Stranieri, Andrew; Shen, J
- Date
- 2008
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/66254
- Identifier
- vital:3727
- Identifier
- http://search.informit.com.au/documentSummary;dn=385193135843799;res=IELHSS
- Identifier
- ISBN:9780980552003
- Abstract
- Objectives: This study aims to support the training of Traditional Chinese Medicine practitioners by embedding an expert diagnostic model for arthritis into an Intelligent Interactive Learning Environment (IILE). Background: The increasing prevalence of Traditional Chinese Medicine (TCM) outside China is characterised by the emergence of university level practitioner training and stringent regulatory requirements. TCM differential diagnosis is a difficult task that was traditionally taught by exposure to large numbers of patients in a master-apprentice context. In university degree programs, students and novice diagnosticians cannot have the exposure to cases possible in the traditional context. An online system that engages students in the interactive construction of a virtual case and provides immediate feedback on the appropriateness of student actions and the accuracy of diagnostic conclusions can enhance student learning. The system, an Intelligent Interactive Learning Environment (IILE) is based on an approach that has been shown to improve learning outcomes in intensive care nurse training. Methods: An expert model of diagnostic reasoning elicited from TCM expert practitioners lies at the core of the IILE. The knowledge acquisition is performed using an argumentation tree representation that has been shown to be effective in structuring complex knowledge and facilitating engineer - expert interactions. Problems associated with keeping knowledge bases up to date are mitigated with the use of a knowledge model known as ripple down rules permits dynamic updating of knowledge so that knowledge bases evolve over time. A simple narrative model builds up the virtual case study as user interaction proceeds. Results and discussion: This article reports preliminary results in the study that includes an overview of TCM differential diagnosis, the argument tree, the ripple down rule representation and the narrative based IILE. Segments of the knowledge model based solely on TCM literature are illustrated.
- Publisher
- Brunswick East, Victoria : Health Informatics Society of Australia Ltd (HISA)
- Relation
- Paper presented at HIC 2008 Australia's Health Informatics Conference; The Person in the Centre, Brunswick East, Victoria : 31st August - 2nd September 2008
- Rights
- Copyright The Authors & HISA
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0806 Information Systems; Medicine; Chinese; Alternative medicine; Arthritis; Diagnosis; Decision making; Data processing
- Full Text
- Hits: 2748
- Visitors: 2775
- Downloads: 179
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Published version | 144 KB | Adobe Acrobat PDF | View Details Download |