UiB AI #6 Learning Analytics and Artificial Intelligence in Education
Welcome to our next UiB AI meeting, focusing on learning analytics and AI in education.
Main content
Artificial intelligence in education (AIED) is an academic field established in the 1980s that carries out research on using AI to support learning, i.e. learning with AI. Artificial intelligence and education (AI&ED) addresses the various connections between AI and education that include using AI to learn about learning (cf learning analytics), learning about AI, and preparing for AI.
At the Centre for the Science of Learning & Technology (SLATE) we carry out research on learning analytics and AI in/and education from technological, pedagogical, interpretive, legal, ethical, and cultural perspectives. Join us in the seminar for an overview of this work.
Registration is free and a light lunch will be served. This event will not be streamed.
Program
AI in Education: Then & Now
Barbara Wasson, Professor & Director, SLATE
Understanding Educational Data: Insights from the field of Learning Analytics
Mohammad Khalil, Senior Researcher, SLATE
Learning analytics through the lens of the GDPR. Lessons learnt from the AVT project
Malgorzata Cyndecka, Associate professor, The Faculty of Law and SLATE
Datafication of education - constructing education and knowledge through data
Anja Salzmann, Postdoc, SLATE
Q&A and Conclusion
Moderator, Barbara Wasson
About the speakers:
Barbara Wasson, Professor at InfoMedia & Director of SLATE. She is a member of the Ministry of Education’s expert task force on Learning Analytics and a member of the Council of Europe’s expert group Artificial Intelligence in Education. She has been involved in research in AI and education since 1983.
Malgorzata Cyndecka is associate professor at the Faculty of Law at UiB and is affiliated with SLATE. She is also associate professor II at the Faculty of Law at the University of Oslo and a member of The Council of Europe’s expert group Artificial Intelligence in Education.
Mohammad Khalil is a Senior Researcher at SLATE carrying out research on learning analytics, ethics and privacy in learning analytics. Currently he is coordinator of the Erasmus+ project Remote Intelligent Access to Labs in Higher Education (RIALHE).
Anja Salzmann is a Postdoc researcher at SLATE, interested in the political economy of developing and adopting complex IT systems based on risk technologies in social contexts and on social processes. She is actively engaged in public debates about digitalisation in Norwegian schools, AI and ethics as well as societal consequences of dataveillance and digital (non-)human-centered technologies
