Learning sciences are embracing the significant role technologies can play to better detect,
diagnose, and act upon self-regulated learning (SRL). The field of SRL is challenged with …

Artificial Intelligence is at the heart of modern society with computers now capable of making
process decisions in many spheres of human activity. In education, there has been intensive …

Artificial intelligence (AI) has generated a plethora of new opportunities, potential and
challenges for understanding and supporting learning. In this paper, we position human and …

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 …

Ensuring that AI empowers educators and learners, not over-empowers them, and that future
developments and practices are truly for the common good. Artificial intelligence (Al) is …

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 …

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 …

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 …

The field of education has experienced a transformation as artificial intelligence (AI)
becomes increasingly applicable for learning purposes. AI has the potential to transform the …

In a context where learning mediated by technology has gained prominence in higher
education, learning analytics has become a powerful tool to collect and analyse data with …