Self-regulated learning (SRL) can predict academic performance. Yet, it is difficult for
learners. The ability to self-regulate learning becomes even more important in emerging …

The proliferation of AI in many aspects of human life—from personal leisure, to collaborative
professional work, to global policy decisions—poses a sharp question about how to prepare …

Education is a unique area for application of artificial intelligence (AI). In this article, the
augmentation perspective and the concept of hybrid intelligence are introduced to frame our …

Hybrid systems combining artificial and human intelligence hold great promise for training
human skills. In this paper, I position the concept of Hybrid Human-AI Regulation and …

Educational AI (AIEd) systems are increasingly designed and evaluated with an awareness
of the hybrid nature of adaptivity in real-world educational settings. In practice, beyond being …

Enabling students to dynamically transition between individual and collaborative learning
activities has great potential to support better learning. We explore how technology can …

Many factors influence learners' performance on an activity beyond the knowledge required.
Learners' on-task effort has been acknowledged for strongly relating to their educational …

Many students in primary education learn arithmetic using adaptive learning technologies
(ALTs) on tablets every day. Driven by developments in the emerging field of learning …

This paper describes the design and evaluation of personalized visualizations to support
young learners' Self-Regulated Learning (SRL) in Adaptive Learning Technologies (ALTs) …

When children are learning using adaptive learning technologies (ALTs), the technology
builds a learner model, which creates temporal trajectories providing insight into how …