Generative AI and didactics: Nordic cases and implications for higher education
Editorial
DOI:
https://doi.org/10.7146/lom.v18i31.168302Nøgleord:
genAI, didactics, empirical cases, nordic higher education, LOM #31Resumé
This editorial introduces the 13 articles published in Læring og Medier (LOM) #31. Generative AI in Nordic higher education: cases and pedagogical implications. The didactic triangle is applied as an analytical lens to examine how GenAI affects teaching in the cases presented in this issue and, potentially, higher education more broadly. In this context, it is worth noting that the editorial uses the concept of ”didactics” in the Nordic-German sense, referring to the careful planning of teaching and learning activities. The editorial examines and explains how GenAI affects the relationships between educators, students, and subject matter (content), that is, the three original actors in the didactic triangle. In doing so, the editorial argues that GenAI does not merely function as an educational technology that can be described through the existing relationships and actors of the didactic triangle. Rather, GenAI should be incorporated as an active fourth actor in the triangle, positioning itself between the original three. Based on the cases provided in the issue, the three original relationships in the didactic triangle are analysed in the context of GenAI-mediation, including the identification of verbs that describe the relationships among the three original actors and GenAI. The editorial concludes that the challenge ahead is not whether to use GenAI, but how educators, students, and institutions can reclaim didactic agency by shaping the conditions under which GenAI can strengthen — rather than erode or short-circuit — meaningful relationships between educators, students, and content.
Downloads
Referencer
Biggs, J., Tang, C., & Kennedy, G. (2022). Teaching for quality learning at university 5th edition. McGraw-Hill Education (UK).
Bowen, J. A. & Watson, C. E. (2025). Teaching with AI : A Practical Guide to a New Era of Human Learning (Second edition). Johns Hopkins University Press.
Bruhn, T., & Marquart, F. (2025). Student experiences of ChatGPT as a feedback tool in higher education. Tidsskriftet Læring Og Medier (LOM), 18(31). https://doi.org/10.7146/lom.v17i31.144043
Bruun, M. H., Krause-Jensen, J., & Hasse, C. (2025). Skrivning, læsning, tekst og refleksiv tænkning med generativ AI på humanistiske videregående uddannelser. Tidsskriftet Læring Og Medier (LOM), 18(31). https://doi.org/10.7146/lom.v17i31.153309
Dasari, D., Hendriyanto, A., Sahara, S., Suryadi, D., Muhaimin, L. H., Chao, T., & Fitriana, L. (2024, January). ChatGPT in didactical tetrahedron, does it make an exception? A case study in mathematics teaching and learning. In Frontiers in Education, 8. Frontiers Media SA. https://doi.org/10.3389/feduc.2023.1295413
Fan, Y., Tang, L., Le, H., Shen, K., Tan, S., Zhao, Y., ... & Gašević, D. (2025). Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance. British Journal of Educational Technology, 56(2), 489-530. https://doi.org/10.1111/bjet.13544
Goodchild, S., Sriraman, B. (2012). Revisiting the didactic triangle: from the particular to the general. ZDM Mathematics Education 44, 581–585. https://doi.org/10.1007/s11858-012-0449-3
Hansen, R., Prilop, C. N., Alsted Nielsen, T., Møller, K. L., Frøhlich Hougaard, R., & Büchert Lindberg, A. (2025). The effects of an AI feedback coach on students’ peer feedback quality, composition, and feedback experience. Tidsskriftet Læring Og Medier (LOM), 18(31). https://doi.org/10.7146/lom.v17i31.148831
Hautopp, H., Paasch Knudsen, S., Ottar Jensen, E., Højgaard Retz Jespersen, J., & Henningsen, B. (2025). At skabe, når alt er færdigt: En undersøgelse af dialogiske rum, når studerende arbejder med AI-billedgenerering i designprocesser. Tidsskriftet Læring Og Medier (LOM), 18(31). https://doi.org/10.7146/lom.v17i31.149005
Hilli, C. (2025). Postqualitative inquiries into digital study practices in higher education: Interplays of hesitations and speculations. Tidsskriftet Læring Og Medier (LOM), 18(31). https://doi.org/10.7146/lom.v18i31.148670
Hopmann, S. T. (2007). Restrained teaching: The common core of Didaktik. European Educational Research Journal, 6(2), 109–124. https://doi.org/10.2304/eerj.2007.6.2.109
Ibrahim, H., Liu, F., Asim, R., Battu, B., Benabderrahmane, S., Alhafni, B., ... & Zaki, Y. (2023). Perception, performance, and detectability of conversational artificial intelligence across 32 university courses. Scientific reports, 13(1), 12187. https://doi.org/10.1038/s41598-023-38964-3
Jensen, C. G., & Dau, S. (2025). Transparens og tillid: AI-støttet undervisnings indvirkning på de studerendes læring. Tidsskriftet Læring Og Medier (LOM), 18(31). https://doi.org/10.7146/lom.v18i31.149343
Kaup, C. F., Møller , A. K., Bundgaard , K., & Boelt , A. M. (2025). ChatGPT: Forstyrrelse eller forandring? Generativ kunstig intelligens’ rolle i kollaborativ videnskonstruktion. Tidsskriftet Læring Og Medier (LOM), 18(31). https://doi.org/10.7146/lom.v17i31.148825
Khlaif, Z. N., Alkouk, W. A., Salama, N., & Abu Eideh, B. (2025). Redesigning Assessments for AI-Enhanced Learning: A Framework for Educators in the Generative AI Era. Education Sciences, 15(2), 174. https://doi.org/10.3390/educsci15020174
Klafki, W. (2000). Didaktik analysis as the core of preparation of instruction. In I. Westbury, S. Hopmann, & K. Riquarts (Eds.), Teaching as a reflective practice (pp. 139–159). Lawrence Erlbaum.
Kung, T. H., Cheatham, M., Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., ... & Tseng, V. (2023). Performance of ChatGPT on USMLE: potential for AI-assisted medical education using large language models. PLoS digital health, 2(2), e0000198. https://doi.org/10.1371/journal.pdig.0000198
Lofthus, L., & Sandberg, M. H. (2025). Chatbots roller i arbeid med en fagtekst. Tidsskriftet Læring Og Medier (LOM), 18(31). https://doi.org/10.7146/lom.v17i31.150207
Møller, A. K., & Bundgaard, K. (2025). Studerendes anvendelse af generativ kunstig intelligens i programmeringsundervisning. Tidsskriftet Læring Og Medier (LOM), 18(31). https://doi.org/10.7146/lom.v18i31.148811
Mørcke, A. M., & Rump, C. Ø. (2015). University teaching and learning – models and concepts. In L. Rienecker, P. S. Jørgensen, G. Ingerslev & J. Dolin (eds.), University Teaching and Learning (pp. 93-104). Samfundslitteratur.
Necip, F., & Qvist, C. C. (2025). Journal Club Insights: Case Studies on Generative AI in Biomedical Laboratory Science Education. Tidsskriftet Læring Og Medier (LOM), 18(31). https://doi.org/10.7146/lom.v17i31.148812
Nordentoft, H. M., & Jensen, T. W. (2025). Inspiring and/or scary? Emotional tensions in student responses to formative feedback from chatbots at a master’s level course in counseling. Tidsskriftet Læring Og Medier (LOM), 18(31). https://doi.org/10.7146/lom.v18i31.149114
Pedersen, A., Hansbøl, M., & Fajkovic, M. (2025). Studerendes erfaringer med, brug af og perspektiver på Generativ AI: ved Det Humanistiske og Teologiske Fakultet, Københavns Universitet, foråret 2024. https://curis.ku.dk/ws/portalfiles/portal/525191363/AI_brug_KU_stud_01_12_2025.pdf
Qian, Y. (2025). Pedagogical applications of generative AI in higher education: A systematic review of the field. TechTrends, 1-16. https://doi.org/10.1007/s11528-025-01100-1
Sánchez Muñoz, J. A., Flores-Eraña, G., Silva-Campos, J. M., Chavira-Quintero, R., & Olais-Govea, J. M. (2025). GenAI as a cognitive mediator: A critical-constructivist inquiry into computational thinking in pre-university education. In Frontiers in Education, 10. Frontiers Media SA. https://doi.org/10.3389/feduc.2025.1597249
Slot, M. F., Dissing Møller, L., Havsager, P., Østergaard, C., Winkler, S., & Minuz, E. (2026). Artificial Intelligence and Disciplinary Innovation: Developing Content and Technological Didactics in Teacher Education. Tidsskriftet Læring Og Medier (LOM), 18(31). https://doi.org/10.7146/lom.v18i31.152730
Sohail, S., Parveen, S., & Dar, T. (2025). Investigating the Role of Generative Ai in Transforming Teaching, Learning, and Assessment Practices. Journal of Applied Linguistics and TESOL (JALT), 8(4), 159-174. https://doi.org/10.63878/jalt1314
Stephenson, R., & Armstrong, C. (2026). Student generative AI survey 2026. Higher Education Policy Institute. https://www.hepi.ac.uk/wp-content/uploads/2026/03/HEPI-Report-199-Gen-AI-Survey-2026.pdf
Stolpe, K., & Hedrén, S. (2025). When the rules of the game change: what happens when supervisors in teacher education degree projects are joined by AI? Tidsskriftet Læring Og Medier (LOM), 18(31). https://doi.org/10.7146/lom.v18i31.148664
Uanachain, D. M. N., & Aouad, L. I. (2025). Generative AI in Education: Rethinking Learning, Assessment & Student Agency for the AI Era. Thresholds in Education, 48(1), 111-132.
Yan, L., Greiff, S., Lodge, J. M., & Gašević, D. (2025). Distinguishing performance gains from learning when using generative AI. Nature Reviews Psychology, 4(7), 435-436. https://doi.org/10.1038/s44159-025-00467-5
Downloads
Publiceret
Citation/Eksport
Nummer
Sektion
Licens
Copyright (c) 2026 Mikkel Godsk, Inger-Marie Falgren Christensen, Marianne Georgsen

Dette værk er under følgende licens Creative Commons Navngivelse – Ikke-kommerciel – Ingen Bearbejdede Værker (by-nc-nd).

Artikler publiceret i Tidsskriftet for Læring og Medier er licenseret under en Creative Commons Navngivelse-IkkeKommerciel-IngenBearbejdelse 4.0 Unported Licens.
Forfattere bevarer deres ophavsret og giver tidsskriftet ret til første publicering, samtidigt med at værket er omfattet af Creative Commons Attribution-licensen: Navngivelse – Ikke-kommerciel - Ingen Bearbejdede Værker (by-nc-nd). Læs om licensen på http://www.creativecommons.dk/om/.
---
På LOM.dk kan du endvidere finde artikler fra det nu nedlagte Tidsskrift for Universiteternes Efter- og Videreuddannelse (UNEV). Vær opmærksom på, at der gælder særlige regler for UNEV artikler:
Det er forfatterne og evt. andre ophavsret indehavere, der har ophavsretten til artikler udgivet i UNEV regi, og det er en betingelse for adgang til artiklerne, at brugere anerkender og overholder de juridiske retningslinjer forbundet hermed.
- Brugere må downloade og printe én kopi af en hvilken som helst UNEV artikel mhp. private studier eller forskning.
- Det er ikke tilladt at videredistribuere artikler eller anvende disse til indtægtsdækkede aktiviteter eller kommercielle formål.
- Det er tilladt at distribuere URL’en til UNEV artikler.