- Oral presentation
- Open Access
Which factors influence the use of e-learning programs?
© Mondrup et al; licensee BioMed Central Ltd. 2009
Published: 28 August 2009
There is a need for maintenance of skills and knowledge in resuscitation and using an e-learning program might be a feasible strategy. However considerable dropout of participants when using such electronic media might be expected. The aim of this study was to identify possible incentives to use e-learning programs.
Participants (n = 51) were Danish junior doctors who all were ALS®-certified and assigned to solve twelve cases in an e-learning program (MicroSim Inhospital®) during one year.
A semi-structured interview guide was developed according to literature on learning incentives and feasibility of e-learning programs and also included evaluation of the program. The interview was processed after the half a year. Responses were coded into main categories. A univariate correlation analysis was performed to identify significant variables to be included in a multiple regression analysis. The standardized regression coefficient was used to evaluate the practical implication by effect size indication.
Forty-seven participants were interviewed with a mean of 3.4 cases solved (SD 2.2). Four variables significantly correlated to the use of the program: time aspects, resuscitation competence, average grade, and lack of personal contact. The only significant variable in the regressions analysis was lack of personal contact. The associated standardized regression coefficient of 0.37 indicates a moderate effect size. The model explains 27% of the variance in the use of the program. Further the results suggested that time issues and participants' competences might also influence the use. Finally the evaluation showed that all participants were highly motivated and found the content relevant.
This study demonstrates that even in well-received e-learning programs dropouts might be expected and that one of the most important factors influencing the use of computer-based learning programs is lack of interaction with other participants and teachers.
This article is published under license to BioMed Central Ltd.