The proliferation of artificial intelligence (AI) technologies and chatbots has the potential to
significantly reshape higher education. It is now imperative for stakeholders in this sector to …

Background Many learners struggle to productively self‐regulate their learning. To support
the learners' self‐regulated learning (SRL) and boost their achievement, it is essential to …

With the aid of artificial intelligence (AI), it is more feasible to leverage discussion data to
understand the online collaborative learning process. This paper presented an AI-supported …

Self-regulated learning (SRL) is the ability to regulate cognitive, metacognitive, motivational,
and emotional states while learning and is posited to be a strong predictor of academic …

Numerous computer-based collaborative learning environments have been developed to
support collaborative problem-solving. Yet, understanding the complexity and dynamic …

Embodied collaborative learning, intertwining verbal and physical behaviors, is an intricate
learning process demanding a multifaceted approach for comprehensive understanding …

This study aims to deepen understanding of how ChatGPT's adoption affects student
learning outcomes, using an adapted Technology-to-Performance Chain (TPC) model that …

Purpose This paper seeks to explore the influence of success factors, specifically motivation
and course quality, on MOOC retention intention. Going beyond a mere examination of …

Prior research has shown that digital games can enhance STEM education by providing
learners with immersive and authentic scientific experiences. However, optimizing the …

Cluster analysis is a term used to describe a broad range of techniques which have the goal
of uncovering groups of observations in a data set. The typical aim of cluster analysis is to …