About the session

In this presentation, you will be introduced to predictive learning analytics and the system that Open University UK is using to predict students at risk of failing their studies. You will find out about how the system works, how teachers are using it and what research studies have shown about its effectiveness to support better learning outcomes. The unique benefits of predictive learning analytics for teaching from a distance will be discussed and some popular myths will be debunked.

About the presenter

Dr Christothea Herodotou is an Associate Professor at the Open University, UK. She has extensive expertise in the evidence-based design and evaluation of technologies for learning (online platforms, mobile applications, digital games) using mixed-methods research approaches (learning analytics, RCTs, interviews, surveys).

Christothea coordinated the evaluation of the Early Alert Indicators project, a 4-year university-wide initiative that assessed predictive learning analytics interventions and their impact on students' performance and attainment; the project has received multiple awards for research impact and excellence in teaching both from the Open University and external organisations. She is a Senior Fellow of the Higher Education Academy (SFHEA) and an Honorary Associate of UCL. She received her Ph.D. degree in Digital Games and Psychology from the University College London (UCL).

About Learning Analytics and Digital Learning Community of Practice

All UQ staff are invited to attend these sessions aiming to develop a community of practice around learning analytics, evidence-based teaching practice and digital learning. 

Each session intends to cater to a variety of presentation and participation formats including presentions, lightning talks, practical data processing tutorials, predictive model building tutorials, learning tool design sessions, recent publication/conference overviews, as well as panel discussions and debates.

For general enquiries, and to register: learninganalytics@uq.edu.au

Venue

Online (via Zoom)