We’ve all heard the terms “Big Data,” Artificial Intelligence, and Machine Learning. They are supposedly at the heart of a Fourth Industrial Revolution that, because of technology, is altering the way in which we live, work, and relate to one another.
But how is this so-called era of datafication transforming what we mean by both “comparative” and “education”?
Earlier this month, the Post Foundational Approaches to Comparative and International Education Special Interest Group of the Comparative and International Education Society organized a webinar entitled “The Datafication of Comparative Education.”
The webinar brought together Nelli Piattoeva, Ezekiel Dixon-Román, and Noah W. Sobe. I moderated the discussion, which focused on how data and algorithms are reshaping ways of thinking, seeing, acting, and feeling in educational research, policy, and practice.
In this special addition of FreshEd, I’m going to replay our conversation because I think there is a lot of critical work to be done on cybernetic systems in education.
Nelli Piattoeva, Ezekiel Dixon-Román & Noah W. Sobe