Artificial Intelligence in educational research: beyond the type

Abstract

This special collection gathers texts that examine issues pertaining to the uses of AI in educational research in ways that escape the characteristic hype of hegemonic discourses. The perspectives here presented do not peddle AI as “inevitable”, a mere “tool”, or a “must-have” to which researchers cannot but adhere to. Instead, arguments are specific, and argumentation involves clear articulation with empirical data and theoretical foundations from different traditions. The texts illustrate how AI is affecting different aspects of educational research, including research training, research design and development and dissemination of research findings. Research approaches to AI in education as well as cognitive, affective and ethical implications of AI use in research are also addressed, with a focus on concerns that go beyond mainstream takes on the consequences of AI for academic integrity and plagiarism.