More than 10 years have passed since Learning Analytics emerged as a field where student data is used to enhance learning and support learning environments. With the recent pandemic resulting in higher education institutions moving much of their teaching and learning online, large amount of educational data has been produced. Experts presume that with these large amounts of data, Learning Analytics will be more powerful, and will be able to provide precise and data-driven algorithms to support learning. Are these presumptions valid? How can this data best be used to support learning? What are the ethical and privacy issues around the use of this data? Is dataification of education a good idea?
The Centre for the Science of Learning & Technology (SLATE), University of Bergen invites you to an online international symposium on Supporting Learning in Higher Education through the use of Learning Analytics.
The symposium will cover many topics, including:
- Personalized and automated feedback
- Using Learning Analytics to support Self-Regulated Learning
- The future of data-driven applications in higher education
- Student engagement
- Datafication, is it a good idea?
- Ethical perspectives on Learning Analytics
The symposium assembles global experts in the field to share their knowledge and expertise, and engage in discussions about future directions. The floor will be open for debate and questions from the participants. Join us!