Predictive learning analytics: what are teachers' perceptions and usage 4 years post implementation?
The Early Alert Indicators system is a predictive learning analytics (PLA) system designed to identify students at risk of failing early on and provide information to teachers for proactive support and intervention. Following an extensive pilot, the system has been running for 4 years across university faculties. In this presentation, findings from a university-wide survey with 366 university teachers will be presented answering the following questions:
- What does the usage of PLA look like across 4 university faculties?
- What are the factors explaining the intention to use (or keep using) PLA in the future?
- Are there any differences in perceptions among university faculties and new and experienced teachers?
Presenter
Professor Christothea Herodotou, Open University UK
Christothea Herodotou is a Professor of learning technologies and social justice at the Open University UK. She is interested in how learning analytics, citizen science and mobile learning can enable equitable learning and educational opportunity. She is co-leading the Early Alert Indicators project.
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 please contact learninganalytics@uq.edu.au.