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Exploring Student Preconceptions of Readiness for Remote-Online Case-Based Learning: A Case Study

Overview
Journal JMIR Med Educ
Publisher JMIR Publications
Date 2016 Oct 13
PMID 27731854
Citations 2
Authors
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Abstract

Background: Case-based learning (CBL) is an educational approach where students work in small, collaborative groups to solve problems. Web-conferencing software provides a platform to present information and share concepts that are vital to CBL. Previous studies have found that participants were resistant to change associated with implementing e-learning; however, strategies to reduce this resistance have not been explored.

Objective: This study was designed to explore student preconceptions and understanding of remote-online case-based learning (RO-CBL).

Methods: The study took place during the Bachelor of Physiotherapy program at Monash University, Victoria, Australia, in 2013. The entire third-year cohort (n=73) was invited to participate. The primary outcome of interest was students' preconceptions of RO-CBL, collected via pre- and posttraining surveys.

Results: Of the 73 students, 66 completed both surveys (attrition rate 9.6%). Three key themes relevant to student preconceptions of RO-CBL emerged: flexibility in time and location of CBL, readiness or hesitation to change to a Web-based format, and the value of training in RO-CBL that included a demonstration and trial run. Thirty-four percent of the participants were hesitant to move to an online format.

Conclusions: This study explored students' preconceptions of Web-based learning and evaluated the change in students' attitudes after training. The results suggest that educational designers should not assume that students are confident and competent in applying these technologies to professional educational activities. By identifying students' needs before implementation, training sessions can be designed to target these needs, and improve the understanding of RO-CBL and how it works in practice. This may reduce resistance to change, enhance students' satisfaction, and ultimately improve the learning experience.

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PMID: 38323240 PMC: 10846016. DOI: 10.1177/20552076241230070.


e-PBL with multimedia animations: a design-based research.

Budakoglu I, Coskun O, Ozeke V BMC Med Educ. 2023; 23(1):338.

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References
1.
Fossey E, Harvey C, McDermott F, Davidson L . Understanding and evaluating qualitative research. Aust N Z J Psychiatry. 2002; 36(6):717-32. DOI: 10.1046/j.1440-1614.2002.01100.x. View

2.
Crawford T . Using problem-based learning in web-based components of nurse education. Nurse Educ Pract. 2010; 11(2):124-30. DOI: 10.1016/j.nepr.2010.10.010. View

3.
Greenhalgh T . Computer assisted learning in undergraduate medical education. BMJ. 2001; 322(7277):40-4. PMC: 1119309. DOI: 10.1136/bmj.322.7277.40. View

4.
Raupach T, Muenscher C, Anders S, Steinbach R, Pukrop T, Hege I . Web-based collaborative training of clinical reasoning: a randomized trial. Med Teach. 2009; 31(9):e431-7. DOI: 10.1080/01421590903095502. View

5.
Childs S, Blenkinsopp E, Hall A, Walton G . Effective e-learning for health professionals and students--barriers and their solutions. A systematic review of the literature--findings from the HeXL project. Health Info Libr J. 2005; 22 Suppl 2:20-32. DOI: 10.1111/j.1470-3327.2005.00614.x. View