Chipps, JenniferKerr, JaneBrysiewicz, PetraWalters, Fiona2015-08-052015-08-052015Chipps J, et al. (2015). A survey of university students' perceptions of learning management systems in a low-resource setting using a technology acceptance model. CIN: Computers Informatics, Nursing, 33(2):71-771538-2931http://hdl.handle.net/10566/1555Learning management systems have been widely advocated for the support of distance learning. In low-resource settings, the uptake of these systems by students has been mixed. This study aimed to identify, through the use of the Technology Acceptance Model, the individual, organizational, and technological factors that could be influencing the use of learning management systems. A simple quantitative descriptive survey was conducted of nursing and health science students at a university in South Africa as part of their first exposure to a learning management system. A total of 274 respondents (56.7%) completed the survey questionnaire, made up of 213 nursing respondents (87.7%) and 61 health sciences respondents (25%). Overall, the respondents found the learning management system easy to use and useful for learning. There were significant differences between the two groups of respondents, with the respondents from health sciences being both younger and more computer literate. The nursing respondents, who received more support and orientations, reported finding the learning management system more useful. Recommendations are made for training and support to ensure uptake.enAuthors retain their copyright for all articles they opt to publish open access. Authors grant WK|LWW a license to publish the article and identify itself as the original publisher. Under the terms of any of these licenses, the reuse of an article requires proper attribution of the original work. Whether reusing, displaying, or reposting an article, the user must attribute the article to the original author.EducationHealth sciences educationNursing educationTechnologySouth AfricaA survey of university students' perceptions of learning management systems in a low-resource setting using a technology acceptance modelArticle