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Katarina Sperling

PhD student

Artificial Intelligence is predicted to alter many aspects of how we organize society,
education is no exception. In my research I want to explore what happens when
AI-based educational technologies are introduced in classrooms.

With a rapidly emerging and unexplored, digital educational landscape as backdrop, my research aims to explore how Primary Education teachers' teaching practices are affected and (reshaped) by educational technologies with artificial intelligence (AI) that apply machine learning (ML).

ML can be described as the scientific study of how computer systems can “learn” from data without being programmed in specific ways. In a teaching context, ML-based educational technologies can be used, for example, to automate certain tasks such as planning, personalization and assessment. These technologies are beginning to enter classrooms around the world, strongly supported by recent years policy reports and the interdisciplinary research field Artificial Intelligence in Education (AIED) and accelerated by the COVID 19 pandemic. Meanwhile practice-based educational research in the field is scarce. I want to understand how teachers' practices are affected when ML-based technologies are introduced in the classroom and conversely how ML-based teaching materials are affected by teachers. Through an exploratory approach grounded in Actor- Network-Theory, I also wish to make visible the ethical implications for teachers and students that follow with the use of ML-technologies in education.

Social media



Katarina Sperling, Cormac McGrath, Linnéa Stenliden, Anna Åkerfeldt, Fredrik Heintz (2023) Mapping AI Literacy in Teacher Education 2nd International Symposium on Digital Transformation: August 21-23, 2023, Linnaeus University, Växjö
Katarina Sperling, Linnéa Stenliden, Jörgen Nissen, Fredrik Heintz (2023) Behind the Scenes of Co-designing AI and LA in K-12 Education Postdigital Science and Education Continue to DOI
Cormac MacGrath, Linnéa Stenliden, Katarina Sperling (2023) Artificial Intelligence in Education: Who's is Being Left Behind?: WASP-HS. Community Reference Meeting: AI, Education and Children, Report 2023.


Katarina Sperling, Linnéa Stenliden, Jörgen Nissen, Fredrik Heintz (2022) Still w(AI)ting for the automation of teaching: An exploration of machine learning in Swedish primary education using Actor-Network Theory European Journal of Education, Vol. 57, p. 584-600 Continue to DOI