Problem-based learning in an e-learning environment: A case study at Griffith University School of Medicine

Tedman, R. A., Alexander, Heather, & Loudon, R. (2007) Problem-based learning in an e-learning environment: A case study at Griffith University School of Medicine. In Studies in Computational Intelligence.

View at publisher

Abstract

Increasing numbers of medical schools in Australia and overseas have moved away from didactic teaching methodologies and embraced problem-based learning (PBL) to improve clinical reasoning skills and communication skills as well as to encourage self-directed lifelong learning. In January 2005, the first cohort of students entered the new MBBS program at the Griffith University School of Medicine, Gold Coast, to embark upon an exciting, fully integrated curriculum using PBL, combining electronic delivery, communication and evaluation systems incorporating cognitive principles that underpin the PBL process. This chapter examines the educational philosophies and design of the e-learning environment underpinning the processes developed to deliver, monitor and evaluate the curriculum. Key initiatives taken to promote student engagement and innovative and distinctive approaches to student learning at Griffith promoted within the conceptual model for the curriculum are (a) Student engagement, (b) Pastoral care, (c) Staff engagement, (d) Monitoring and (e) Curriculum/Program Review. © 2007 Springer-Verlag Berlin Heidelberg.

Impact and interest:

1 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 95211
Item Type: Book Chapter
Additional Information: Cited By :1
Export Date: 18 April 2016
DOI: 10.1007/978-3-540-71974-8_3
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Copyright Owner: Copyright 2007 Studies in Computational Intelligence
Deposited On: 29 Apr 2016 02:50
Last Modified: 04 May 2016 02:15

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page