The datafication of higher education: discussing the promises and problems

ABSTRACT

A common recommendation in critiques of datafication in education is for greater conversation between the two sides of the (critical) divide – what might be characterised as sceptical social scientists and (supposedly) more technically-minded and enthusiastic data scientists. This article takes the form of a dialogue between two academics representing these different perspectives – Dragan Gasevic (a data scientist who is one of the founders of the ‘learning analytics’ field) and Neil Selwyn (a social scientist and long-time critic of educational technology). Over the course of a six-month email exchange, we explore various arguments for and against the datafication of higher education. Thus, we are able to add a computational dimension to well-worn social criticisms of data representativeness, reductionism and injustice, as well as exploring social tensions inherent in technical claims to data-based precision, clarity and predictability. Crucially, these exchanges allow us to explore ways in which our two viewpoints converge, and therefore highlight opportunities for productive inter-disciplinary exchange and collaboration.

KEYWORDS:

• Datafication
• learning analytics
• data
• platforms

Disclosure statement

No potential conflict of interest was reported by the authors.

ORCID

Neil Selwyn http://orcid.org/0000-0001-9489-2692

Dragan Gašević http://orcid.org/0000-0001-9265-1908