Authentic Learning by Design: Meta-Requirements for AI Support for Students and Educators
Wolters, A.; Kipping, G.; Wass, S.; Gau, M.; Riehle, D. M.; Chandra Kruse, L.
Zusammenfassung
Large language models (LLMs) have transformed learning and educational practices, yet concerns persist about whether authentic learning occurs when cognitive tasks are outsourced to artificial intelligence (AI) systems. We examined how AI systems can support educators in facilitating student’s authentic learning. This paper reports on the first two echelons of our echeloned design science research (eDSR). We evaluated 200 AI systems deployed across European educational institutions and interviewed 11 experienced educators in three countries. Based on the findings, we formulated and validated meta-requirements for AI systems that support authentic learning from the perspectives of students, educators, and educational institutions.
Schlüsselwörter
Authentic Learning; Design Science Research; Meta-Requirements; AI Learning Support; Pedagogical Design
Zitieren als
Wolters, A., Kipping, G., Wass, S., Gau, M., Riehle, D. M., & Chandra, K. L. (2026). Authentic Learning by Design: Meta-Requirements for AI Support for Students and Educators. In vom Brocke, J., Chandra, K. L., Hevner, A., Rosemann, M., Chiarini, T. M., & Winter, R. (Eds.),
Design for Better Futures: Beyond the Science of the Artificial. Completed Research (pp. 227–245). Cham: Springer International Publishing.
Details
Publikationstyp
Forschungsartikel in Sammelband (Konferenz)
Begutachtet
Ja
Publikationsstatus
Veröffentlicht
Jahr
2026
Konferenz
21st International Conference on Design Science Research in Information Systems and Technology, DESRIST 2026
Konferenzort
Münster
Buchtitel
Design for Better Futures: Beyond the Science of the Artificial. Completed Research
Herausgeber
vom Brocke J., Chandra Kruse L., Hevner A., Rosemann M., Chiarini Tremblay M. & Winter R.
Erste Seite
227
Letzte Seite
245
Verlag
Springer International Publishing
Ort
Cham
DOI
