Provision of personalized feedback at scale using learning analytics

Organised by Centre for the Enhancement of Teaching and Learning (CETL) and Faculty of Education, The University of  Hong Kong

Abstract

The increasing presence of technology mediation offers an unprecedented opportunity to use detailed data sets about the interactions that occur while a learning experience is being enacted. Areas such as Learning Analytics or Educational Data Mining have explored numerous algorithms and techniques to process these data sets. Additionally, technology now offers the opportunity to increase the immediacy of interventions. However, not much emphasis has been placed on how to extract truly actionable knowledge and how to bring it effectively as part of a learning experience. In this talk, we will use the concept of feedback as the focus to establish a specific connection between the knowledge derived from data-analysis procedures and the actions that can be immediately deployed in a learning environment. We will discuss how there is a trade-off between low-level automatic feedback and high-level complex feedback and how technology can provide efficient solutions for the case of large or highly diverse cohorts.

For further information on the speakers, venue and timings, please go to the University website – click here

or

please contact:
Ms. Noranda Zhang , CETL
Phone: 3917 4729; Email: [email protected]