
How context and social factors influence learners’ willingness to share their data
Learning analytics (LA) has become central to personalized and data-driven education, but ethical concerns remain. While technical and…

Learning analytics (LA) has become central to personalized and data-driven education, but ethical concerns remain. While technical and…

In their critical reflection, Bauer et al. (2025) explore the role of artificial intelligence (AI) in education, focusing…

Scaffolding through prompts in digital learning has emerged as a powerful strategy to guide learners in complex digital…

Multimodal Large Language Models (MLLMs) are advanced AI systems capable of processing multimodal data including text, sound, and…

Immersive Virtual Reality (iVR) has become an innovative tool in education, allowing learners to engage with complex content…

As technology continues to reshape education, immersive virtual reality (I-VR) has emerged as a promising tool for enhancing…

Adaptive or personalized learning is a promising concept, providing the learner with a tailored learning experience at any…

Language learning is a complex process that demands guidance and discipline, yet various factors can support or hinder…

AI Self-efficacy – the confidence in one’s capabilities to effectively interact, understand, learn about, and use AI technologies…

Learning Analytics involves the analysis of data related to teaching and learning. They are often presented through dashboards…

Challenge-based learning is a pedagogical approach that fosters collaboration and often involves interdisciplinary work. In this approach, students…

IRIS is an advanced AI-driven virtual tutor designed to provide personalized and context-aware support to computer science students…