Call for Contribution to an Edited Volume
The research group is anchored in LUSP’s strategic plan and supports the faculty’s goal of strengthening research in digitalisation, technology, and society. The group contributes to both the faculty’s and Østfold University College’s broader commitment and strategic area The Digital Society. It builds on existing initiatives such as the Østfold AI Hub and several ongoing and planned Research Council of Norway-funded projects – AI4AfL, AI-EXCAfL, ACE-TL21, and ENACT (text in Norwegian) – and forms a central part of HiØ’s growing AI ecosystem.
Research Areas and Interests
AI Network Group Leader: Irina Engeness
The group is organised into three specialised Special Interest Groups (SIGs):
SIG1: AI in Education (AI4Edu):
- Focuses on how AI can support teaching, learning, and assessment in various educational contexts
- Leader: Marianne Hagelia
- Participants: Magnus Nohr, Sonja Nygaard-Joki, Adrian Kristinsønn Jacobsen, Joakim Olsson (PhD), PhD X (AI-EXCAfL)
SIG2: AI in Physical Education and Sports Coaching (AI4PSC):
- Explores AI in performance analysis, personalised training, injury prevention, and subject didactics
- Leader: Anders Farholm
- Participants: Ole Sveen, Birgitte Huseby, Harald Oseland, Steffen Tangen, Alexander Olsen, Gethin Thomas (Cardiff Met), Christian Thue Bjørndal (NIH)
SIG3: Ethical AI Innovation and Governance (Ethics4AI):
- Investigates ethical and societal aspects of AI across sectors
- Leader: Leonora Bergsjø
- Participants: Halvdan Haugsbakken, Natalia Murashova (PhD ENACT), Per Storrø Petersen (PhD ENACT)
Planned Activities
The group will carry out a range of academic and supportive activities, including:
- Regular research group meetings, both jointly and within the SIGs
- Academic seminars and guest lectures
- Supervision and support of PhD fellows
- Grant application workshops and efforts to increase external funding
- Knowledge exchange with partners and policy stakeholders
The group will also publish research articles, contribute to academic dissemination, and develop practice-oriented resources for educators and coaches. The aim is to build a dynamic and interdisciplinary research environment that actively contributes to academic development and societal impact.
Projects:
AI-EXCAfL Artificial Intelligence for Enhanced Cross-disciplinary Assessment for Learning