Program

General plan for the workshop

After a brief introduction and conceptualisation of the workshop, in the first half of the workshop a rapid series of short presentations will provide a backdrop and provocation to think about ways in which we normally provide feedback in HE and present samples of tools and cases in which a learning analytics approach has been well received or successful (or, discuss reasons for failure).

In the second half, breakout groups will be guided with a semi-structured approach to discuss key themes and issues surfaced during the presentations (e.g. use of data-informed feedback by students, types of feedback made possible through data, challenges of faculty professional learning, data sources needed for personalisation, etc.).

The current lineup include six papers accepted for presentation:

• Liu et al. Trojan horse analytics: Hooking educators on personalized feedback at scale at multiple Australian universities
• Lim et al. Combining technology and human intelligence to provide feedback and learning support using OnTask
• Bucic et al. Juggling system and data streams to personalize feedback: the case of a large first year course
• Moxley & Bennington Actionable Analytics at MyReviewers for Administrators, Instructors, Students, and Researchers
• Loftus & Madden Probabilistic Graphical Models as Personalised Feedback
• Essa & Aghababyan Personalizing Non-Cognitive Feedback for Learning and Skill Formation