Editors' Choice

Editors’ Choice: The problem with evidence production on AI in education

Editors’ Summary: In this post, Ben Williamson examines the growing quality control and methodological rigor crisis within the field of Artificial Intelligence in Education (AIED) research. By highlighting the recent retraction of a high-profile paper on ChatGPT and analyzing two new critical literature reviews, Williamson demonstrates how the pressure to quickly produce statistical evidence has […]

Editors' Choice

Editors’ Choice: the friction embedded in AI educational designs

Editors’ Summary: In this post, Alex Reid critiques the reliance on instructional design and “design thinking” to counter the frictionless nature of AI in higher education. Challenging the popular notion of “engineering friction” into curriculum, he argues that reducing learning to predictable outcomes merely creates automated “work” that AI easily replicates. Reid contends that AI […]

Editors' Choice

Editors’ Choice: The Price of Scale: AI, Ethics, and the Limits of the Humanities

Editor’s Summary: The question of scale is something that has been troubling many humanities disciplines even before the popularization of computational technologies. In the field of DH, we often perceive that there is an additional layer of abstraction between the researcher and subject because of the digital “screen” and scale of analysis that our technological […]