Self-regulated learning (SRL) is critical for learning across tasks, domains, and contexts.
Despite its importance, research shows that not all learners are equally skilled at accurately …

We observe a continuous shift from face-to-face to hybrid or online education. Today,
learners are exposed to a high level of autonomy and, at the same time, have less contact …

The aim of this study was to predict university students' learning performance using different
sources of performance and multimodal data from an Intelligent Tutoring System. We …

Self-regulation is increasingly needed in education. This article aims to identify (what is) the
core of the concept of self-regulated learning (SRL) and to analyse how SRL is used in …

Sustainable development (SD) is crucial to maintaining and preserving the planet we live
on. The new paradigm of circular economy (CE) corresponds to the sustainable …

Affective intelligent tutoring systems (ATSs) are gaining recognition for their role in
personalized learning through adaptive automated education based on students' affective …

In light of the widespread adoption of Artificial Intelligence (AI), educators are increasingly
exploring innovative applications of this technology within their domain of expertise. Notably …

En este artículo se realizó una revisión sistemática de investigaciones publicadas entre
2019 y 2023 en tres bases de datos indexadas. El objetivo fue caracterizar las …

Intelligent Tutoring Systems (ITS) are revolutionizing higher education through artificial
intelligence (AI), offering personalized and adaptive learning experiences. In this sense, the …

This research aims to validate the instrument called Learning Self-Regulation Questionnaire
adjusted to the Peruvian context, for which reliability and validity analyses were carried out …