Seminar: "From Data to Action: The Impact of Learning Analytics on Teaching and Learning"

Program

Summary

With the increasing digitization of education, institutions now collect vast amounts of data that can offer valuable insights into how learning takes place in different learning spaces. The emerging field of Learning Analytics (LA) focuses on developing methods and techniques to analyze these digital traces, with one of its key objectives being to support educators in making informed decisions. A common approach in LA research is the use of dashboards that visualize students' learning behaviors, enabling teachers to monitor and intervene when required. This talk focuses on practical experiences related to developing human-centered learning analytics solutions for educators, highlighting lessons learned and challenges encountered. This talk will also explore the evolving landscape of multimodal learning analytics and artificial intelligence and their role in shaping the future of teaching and learning.

Ishari Amarasinghe

Amarasinghe received her Ph.D. in Information and Communication Technologies from Universitat Pompeu Fabra (UPF), Barcelona, in 2020. She has postdoctoral research experience with the TIDE Research Group at UPF and the National Education Laboratory AI at Radboud University, The Netherlands. She is currently with the AI and Data for Society (AID4So) Research Group at Universitat Oberta de Catalunya. Her work focuses on hybrid human-AI technologies designed to support teachers and learners, grounded in human-centered design. She has published in Q1 and JCR-indexed journals, such as IEEE Transactions on Learning Technologies and the Journal of Computer-Assisted Learning. Her research interests include AI and educational technologies.