This project addresses fundamental ethical and legal challenges that AI technologies bring to learning and teaching in higher education. It will provide knowledge about how to conceptually and empirically approach these challenges, but most importantly: How to deal with ethical issues in practice.

This project explores the growing datafication of the education sector in the Nordic countries. Our exploration is concretized through a workshop series. We focus on dimensions of ethics and values embedded in emerging sociotechnical imaginaries of education and learning.

The purpose of the project is to develop and evaluate scientifically based pedagogical approaches, methods and tools within the domain of air combat training, to systematically plan, evaluate and follow up training and training results.

During the COVID-19 pandemic, the use of digital assessment in higher education increased dramatically. What are the teachers’ experiences from this? And what are the key opportunities and challenges in designing and implementing digital assessment?

The COVID-19 pandemic has brought on changes in many areas, also in higher education. This project evaluates the Inspera digital exam portal and studies how it could increase legal certainty of distance exams.

This project aims to produce a concrete and scalable example of how IoT (Internet of Things) can be used to develop teaching and learning in schools. By putting sensors on teachers, we can produce heatmaps of their classroom movements. This shows how they interact with students, and gives important feedback to their teaching. 

This project deals with development and research about virtual cases for learning, training and assessment. The virtual cases can be used in various domains like medicine, nursing, psychiatry, psychology, teacher education, special needs education, law and social care.

Recent developments in AI affect us in many ways, also in higher education. The research project "WASP-ED work area 4: Pedagogical development and learning analytics" is a part of the national WASP-ED program which aims to increase AI capability and capacity in Sweden.