Towards Institutional Adoption of Learning Analytics with Dr Yi-Shan Tsai
Join us on Friday March 2nd for a seminar with Dr Yi-Shan Tsai, University of Edinburgh, presented by the CRLI Learning Analytics Research Group (LARG). This event is in association with the 2018 International Learning Analytics and Knowledge (LAK) Conference to be held at the SMC Conference & Function Centre in Sydney, from March 5–9.
Learning analytics promises to enhance learning and teaching by providing teachers and students with insights into learning engagement and progression. However, the adoption of learning analytics is beset with challenges that need strategic addressing involving the various stakeholders.
In this seminar, Yi-Shan Tsai will discusses the approach to learning analytics at the University of Edinburgh including; the achievements so far, encountered barriers, and learnt lessons. In addition, she'll present findings from a European project – SHEILA (Support Higher Education to Integrate Learning Analytics) - that has developed a rigorous policy framework based on direct engagement with stakeholders including learning analytics experts, senior managers, teaching staff, and students. She will talk about interests and concerns about learning analytics among these stakeholders, and the implications for a systematic and large scale adoption of learning analytics.
- Room 612, Education Building A35
- Friday 2 March 2018 from 12.00-1.00pm (note change of day and time). This is a brown bag event, feel free to bring your lunch.
- No registration needed, just come on the day
Yi-Shan Tsai is a research associate in the Centre for Research in Digital Education in the Moray House School of Education at the University of Edinburgh. She holds a PhD and an MPhil degree in Education from the University of Cambridge. She is a co-investigator of a cross-European project – SHEILA (Supporting Higher Education to Integrate Learning Analytics) and a member of the Learning Analytics Policy Task Group at the University of Edinburgh. Her current research focuses on policy and strategy formation for learning analytics in higher education.