Artificial Intelligence in Education
The aim of the course is to give an understanding of central perspectives, theoretical foundations and concepts related to the use of artificial intelligence for learning and teaching.

Hovedinnhold
Course leader
Barbara Wasson, Professor and Director of the Centre for the Science of Learning & Technology (SLATE), University of Bergen.
Course co-leaders
Mohammad Khalil, Senior researcher of Learning Analytics at SLATE, UiB
Anja Salzmann, Postdoctoral researcher at SLATE, UiB
Course lecturers
Raquel Coelho, Researcher, SLATE, UiB
Paul Prinsloo, Professor, University of South Africa
Course description
AI in Education (AIED) is a research field that examines the integration and application of artificial intelligence technologies in education. It encompasses a wide range of AI-driven tools, techniques, and applications such as intelligent tutoring, learning analytics, generative ai, designed to enhance various aspects of teaching and learning, streamline administrative tasks, and make education more accessible, efficient, and effective.
However, ethical considerations, data privacy, data literacy, and responsible AI usage are essential aspects that need to be carefully addressed to ensure that AI technologies in education benefit students and educators.
The course encourages critical thinking about the technological, pedagogical, ethical, social, and legal implications of AI in educational contexts, equipping students with the knowledge to reflect on its responsible use in education.