Artificial Intelligence in Educational Research and Scholarship: Seven Framings

Authors

  • Eamon Costello Dublin City University, Ireland
  • Giselle Ferreira Pontifical Catholic University of Rio de Janeiro, Brazil
  • Stefan Hrastinski KTH Royal University of Technology, Sweden
  • Jason K. McDonald Brigham Young University, United States of America
  • Ahmed Tlili Beijing Normal University, China
  • George Veletsianos University of Minnesota-Twin Cities, United States of America
  • Victoria I. Marín University of Lleida, Spain
  • Henk Huijser Queensland University of Technology, Australia
  • Sharon Altena Queensland University of Technology, Australia

DOI:

https://doi.org/10.53761/xs5e3834

Keywords:

AIED, AI in Education, research methodology, educational technology research, pedagogical theory, metaphors, ethnography, open education, humanistic theory, fiction

Abstract

In a recent interview (Bender et al., 2025), Professor Emily M. Bender discussed the limitations of technical solutions in addressing harmful Artificial Intelligence (AI) bias. She described a particular point we may reach at which technical solutions stop working, and when we should then widen the lens to ask about the problem framing itself. This is a crucial step in any inquiry that is of concern to both novice and experienced researchers alike: moving from problem-solving to problematisation. This commentary aims to provide
educational researchers with a glimpse into the wide array of research problems and problematisation of AI in Education (AIED). It discusses seven framings of AIED: methodological pluralism; metaphors; ethnographic studies; imagining futures through fiction; humanistic groundings of AI design and development; third space professionals in research; and open education. We describe why these particular frames are relevant and how we wrote this commentary. We go on to suggest that to sustain the desirable but sometimes elusive nexus between research and teaching, we need to see both as rich, diverse, and distributed activities consisting of many actors. We seek to probe: What is AI? Who gets to say so and why? What critical, creative and pluralistic approaches can we take to research into its effects on the outcomes and experiences of students in higher education?

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Published

2025-09-08

How to Cite

Artificial Intelligence in Educational Research and Scholarship: Seven Framings. (2025). Journal of University Teaching and Learning Practice, 22(4). https://doi.org/10.53761/xs5e3834