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 …

Students enter school with a vast range of individual differences, resulting from the complex
interplay between genetic dispositions and unequal environmental conditions. Schools thus …

Since the launch of ChatGPT for public use, educators have expressed a variety of concerns
about its integration into educational settings. This paper has been written to provide an …

Although studied for decades by the research community, artificial intelligence (AI) in
education has recently sparked much public debate with the wide-spread popularity of …

Moving beyond the direct support all alone by a human teacher or an Artificial Intelligence
(AI) system, optimizing the complementary strengths of the two has aroused great …

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 …

AI-powered learning technologies are increasingly being used to automate and scaffold
learning activities (eg, personalised reminders for completing tasks, automated real-time …

Self-regulated learning (SRL) is crucial for hel** students attain high academic
performance and achieve their learning objectives in the online learning context. However …

The increasing prevalence of Artificial Intelligence (AI) in higher education underscores the
necessity to explore its implications on ethical, social, and educational dynamics within the …