Literature DB >> 16938487

Can design principles of traditional learning theories be fulfilled by computer-based training systems in medicine: the example of CAMPUS.

Sebastian Garde1, Jörn Heid, Martin Haag, Matthias Bauch, Thorsten Weires, Franz Josef Leven.   

Abstract

PURPOSE: Computer-based training (CBT) systems offer the potential to efficiently support modern teaching and learning. However, it is still unknown if a similar efficient learning experience built on sound learning theories and corresponding design principles can be created in the complex health care environment. The purpose of this paper is to analyse to what extent learning theories and corresponding design principles are relevant and can successfully be applied in computer-based training in medicine.
METHODS: We use the case-based CBT system CAMPUS as an example for a CBT system currently used to enhance the medical teaching and learning experience. We apply two well-accepted learning theories (Bloom's taxonomy and practice fields) and related design principles to determine to what extent they are relevant and fulfilled in the context of CAMPUS.
RESULTS: We demonstrate that in principle these learning theories and design principles can be implemented using computer-based training. However, not all design principles can be fulfilled by the system alone; rather the integration of the system into adequate -- traditional or virtual -- teaching and learning environments is essential.
CONCLUSIONS: Traditional learning theories and design principles are a valuable means in designing adequate CBT systems in medicine. They can be successfully implemented in CBT systems for medical education if the system itself is adequately integrated into teaching and learning environments.

Mesh:

Year:  2006        PMID: 16938487     DOI: 10.1016/j.ijmedinf.2006.07.009

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  7 in total

1.  A taxonomy characterizing complexity of consumer eHealth Literacy.

Authors:  Connie V Chan; Lisa A Matthews; David R Kaufman
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

2.  Hunter disease eClinic: interactive, computer-assisted, problem-based approach to independent learning about a rare genetic disease.

Authors:  Fatma Al-Jasmi; Laura Moldovan; Joe T R Clarke
Journal:  BMC Med Educ       Date:  2010-10-25       Impact factor: 2.463

3.  Towards case-based medical learning in radiological decision making using content-based image retrieval.

Authors:  Petra Welter; Thomas M Deserno; Benedikt Fischer; Rolf W Günther; Cord Spreckelsen
Journal:  BMC Med Inform Decis Mak       Date:  2011-10-27       Impact factor: 2.796

Review 4.  Quality specifications in postgraduate medical e-learning: an integrative literature review leading to a postgraduate medical e-learning model.

Authors:  R A De Leeuw; Michiel Westerman; E Nelson; J C F Ket; F Scheele
Journal:  BMC Med Educ       Date:  2016-07-08       Impact factor: 2.463

5.  Is computer-assisted instruction more effective than other educational methods in achieving ECG competence among medical students and residents? Protocol for a systematic review and meta-analysis.

Authors:  Charle André Viljoen; Rob Scott Millar; Mark E Engel; Mary Shelton; Vanessa Burch
Journal:  BMJ Open       Date:  2017-12-26       Impact factor: 2.692

6.  Comparative study of virtual and traditional teaching methods on the interpretation of cardiac dysrhythmia in nursing students.

Authors:  Hosein Habibzadeh; Alireza Rahmani; Bahlol Rahimi; Soheila Ahangarzadeh Rezai; Nader Aghakhani; Fariba Hosseinzadegan
Journal:  J Educ Health Promot       Date:  2019-10-24

7.  Student Perceptions of Instructional Ultrasound Videos as Preparation for a Practical Assessment.

Authors:  Martin Altersberger; Philipp Pavelka; Alexander Sachs; Michael Weber; Michaela Wagner-Menghin; Helmut Prosch
Journal:  Ultrasound Int Open       Date:  2019-11-07
  7 in total

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