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Harry Quedenfeld

Grant Holder, Doctoral Research
Tampere University
harry.quedenfeld [at] tuni.fi (harry[dot]quedenfeld[at]tuni[dot]fi)

About me

I am a higher education researcher currently working on my PhD research related to the impact of AI in higher education. As a PhD candidate in the Doctoral Programme of Education and Society (Faculty of Education and Culture, Tampere University), I research the role of AI as a non-human mediator of knowledge in higher education learning processes. My PhD research focuses on how AI shapes cognitive processes in learning, influences students’ conceptualization of knowledge, and redefines the student’s role in independent learning. I conduct the PhD research with the support of the Kone Foundation’s grant (2025-2027), which is part of an interdisciplinary research project ‘(Un)making Knowledge: students’ relationship with knowledge from Modernity to AI’ funded by the Kone Foundation (2025-2029).

My research interests include a variety of topics in higher education and educational psychology, including cognitive processes in learning, AI as an extension of the mind, student-AI interaction, knowledge construction, and the recontextualization of educational knowledge.

Previously I have assisted in organizing the 2nd and 3rd International Symposiums on Social Interactions in Inclusive Educational Settings and was employed as a research assistant to conduct interviews and code data.

In my research, I work closely with Higher Education in Transition (HET).

In 2022, I graduated from the Master’s Programme in Learning, Teaching and Media Education, and obtained a M.A. in Education from Tampere University. I am a member of Tampere University Association of Researchers and Teachers TATTE.

Research topics

  • AI as a non-human mediator of knowledge
  • Knowledge construction in AI-supported learning
  • Cognitive processes in AI-assisted learning
  • AI as an extension of the mind in education
  • Student-AI interaction and learning dynamics
  • Reconceptualization of knowledge in AI-integrated education
  • The role of AI in independent learning processes
  • Students’ self-perception as learners in AI-driven environments
  • Collaborative interactions
  • Joint attention in collaboration