A critical look at the promises of digitalized education
Dec 15, 2021, 1.00-3.30 PM, via Zoom (link will be shared after registration)
For this our second seminar, the first speaker is Dr. Jeremy Knox* from the University of Edinburgh. The title of his talk is Divisions of learning in the datafied university. He will examine the increasing use of data-driven technologies, such as learning analytics and AI, in higher education, and suggest the need for greater critical awareness of how such systems function within broader notions of the 'digitalisation' of the sector. The central focus for the talk will be the theme of 'learning'; how it has tended to be understood by educators, as well as the ways in which data-driven platforms begin to shift the meaning and orientation of the term, as 'machine learning' systems and commercial incentives become increasingly entangled in public education.
For the second half of this seminar, Marita Ljungqvist and Anders Sonesson from the Department of Educational Sciences, Lund University, will discuss how digitalization of education is constructed in Swedish policy, drawing from their recent paper Selling out education in the name of digitalization: A Critical Analysis of Swedish Policy. They will demonstrate that the policy argumentation, despite being anchored in traditional Swedish welfare values, is characterized by a coherent and reductionist neoliberal framing of education, and discuss how such constructions are made possible.
We are looking forward to seeing you at the seminar!
Marita Ljungqvist, Division for Higher Education Development, Lund University
Sinikka Neuhaus, Department of Educational Sciences, Lund University
Anders Sonesson, Division for Higher Education Development, Lund University
Peter Svensson, School of Economic and Management and Division for Higher Education Development, Lund University
*Jeremy Knox is co-director of the Centre for Research in Digital Education at the University of Edinburgh, where he coordinates a research theme entitled ‘Data Society’. His research interests include the relationships between education, data-driven technologies such as artificial intelligence (AI), and wider society. Jeremy’s published work includes critical perspectives on artificial intelligence (AI), learning analytics, data, and algorithms, as well as Open Educational Resources (OER) and Massive Open Online Courses (MOOCs).