HUI MENG ER¹
VISHNA DEVI NADARAJAH¹
1 International Medical University 

Learning analytics is a tool for gathering, analysing, and interpreting data related to student’s learning preference, engagement and performance. It can support students’ self-assessment through dashboards that provide real time information about their learning behaviour, progress and performance, as well as personalised recommendations for various aspects of the learning process. These guide the students in identification of areas for improvement, reflection of their learning progress and strategies, leading to realistic goal setting. The technology helps to facilitate the development of self-regulated learning skills among students. 

In this workshop, we will introduce the theoretical frameworks and practical tips that guide the design of a learning analytics system. The participants will discuss about stakeholders needs, types and sources of data that are essential to the development of learning analytics based on the contextual needs of the institution. The impact of poor-quality data and ethical issues related to data privacy and confidentiality will be deliberated. 

Group discussion, break-out small group activity, demonstration of an institutionally developed learner analytics platform and presentation. 

This workshop will be useful for faculty, administrators (student support, academic services, examination office), students, e-learning and IT staff. 

Level of Workshop
Beginner 

References (maximum three) 

Saqr, M. (2018). A literature review of empirical research on learning analytics in medical education. International Journal of Health Sciences, 12(2), 80–85. https://pubmed.ncbi.nlm.nih.gov/29599699/ 

Leitner, P., Ebner, M., & Ebner, M. (2019). Learning Analytics Challenges to Overcome in Higher Education Institutions. Utilizing Learning Analytics to Support Study Success, 91–104. https://doi.org/10.1007/978-3-319-64792-0_6