Abstract Artificial Intelligence in Education (AIEd) is an emerging interdisciplinary field that
applies artificial intelligence technologies to transform instructional design and student …

We present a systematic literature review of data-driven self-regulated learning (SRL) that
emphasises the methodological importance of temporality and sequence, as opposed to …

This study investigates how students interact with artificial intelligence (AI) for English as a
Foreign Language (EFL) learning and what matters in AI-supported EFL learning. It was …

In this paper, we argue that a particular set of issues mars traditional assessment practices.
They may be difficult for educators to design and implement; only provide discrete snapshots …

Collaborative problem solving (CPS) enables student groups to complete learning tasks,
construct knowledge, and solve problems. Previous research has argued the importance of …

This article provides an introduction for the special issue of the Journal of Science Education
and Technology focused on computational thinking (CT) from a disciplinary perspective. The …

Names: Mercer, Neil, editor.| Wegerif, Rupert, 1959-editor.| Major, Louis,(Louis Christopher),
1985-editor. Title: The Routledge international handbook of research on dialogic …

In this paper, we propose a novel approach to the analysis of collaborative learning. The
approach posits that different dimensions of collaborative learning emerging from social ties …

Learning analytics uses large amounts of data about learner interactions in digital learning
environments to understand and enhance learning. Although measurement is a central …

Abstract Argumentation involves collaboration and regulation of learning. In recent years,
regulation of learning, which involves self-, co-, and socially shared regulations, has …