BMC Med Educ
IMU Centre for Education & Human Biology Department, School of Medicine, IMU University, Kuala Lumpur, Malaysia.
Published: November 2024
Background: Learning analytics (LA) is a tool for gathering, analysing, and interpreting data related to student's learning behaviour, engagement, and performance. As the student data collected by the institutions are used to construct LA, it is essential to understand the acceptance and readiness of the students regarding the implementation of LA.
Methods: A sequential mixed method research design was used in this study. A validated questionnaire was distributed to undergraduate students of Medicine, Dentistry and Pharmacy programmes to collect their general views on LA. Focus group interviews with a total of 18 students were conducted to explore their perceptions in depth, followed by thematic analysis of the transcribed data.
Results: Generally, the students were aware of their demographic data, utilisation of learning management system and academic performance data being collected by the university. They were agreeable for collection of those data which had direct association with their learning to be used for LA. However, they expressed concerns about the privacy, confidentiality, and security of the collected data. Three themes emerged from the interviews, i.e., self-regulated learning, evidence-based decision making and data management. The students perceived that LA could help them to monitor achievement of learning outcomes and provide support for individualised learning paths through recommendations of learning resources and learning motivation. They also opined that LA could help educators and institutions by providing feedback on teaching and learning methods, resource allocation and interventions to create conducive learning environment.
Conclusions: LA is a useful tool to support self-regulated learning, however, precautions should be exercised during implementation to ensure data privacy and security.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11583447 | PMC |
http://dx.doi.org/10.1186/s12909-024-06284-3 | DOI Listing |
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