Children's emotion comprehension is crucial for healthy social and academic development. Behaviours influenced by emotion comprehension in childhood have received much attention, but less focus has been placed on factors that may affect individual differences in emotion comprehension during pre-school years. Researchers have identified several…

Generative AI and large language models have a significant impact on education and business, creating a pressing need for universities to act and support students in their development and understanding of these new technologies. While several emerging studies have investigated the use and perceptions of AI by students, few focus on how educators…

The purpose of this article is as follows: as artificial intelligence (AI) continues to reshape the landscape of higher education, faculty face the dual challenge of integrating these technologies effectively while preserving the deeply human aspects of teaching, learning, and scholarship. This article will focus on mentoring, as it offers a…

Background/purpose: In the digital age, education is no longer considered an activity carried out during a specific period of life, but rather a lifelong concept. The skills acquired through formal education processes can become obsolete within a few years due to the rapid pace of the era. It is precisely at this point that corporate structures…

Although extensive research has focused on the perceptual abilities of second language (L2) learners, a significant gap persists in understanding how cognitive functions like phonological short-term memory (PSTM) and nonverbal intelligence (IQ) impact L2 speech perception. This study sets out to investigate the discrimination of L2 English…

The concept of differentiation holds immense significance in education, touching upon aspects like access, inclusion, justice, and equality. However, it is also a complex and elusive notion, which acquires different meanings across historical and cultural contexts. This article explores the shifting reasoning about differentiation in the Swedish…

Short-form development is an important topic in psychometric research, which requires researchers to face methodological choices at different steps. The statistical techniques traditionally used for shortening tests, which belong to the so-called exploratory model, make assumptions not always verified in psychological data. This article proposes a…

Knowledge tracing is a well-known problem in AI for education, consisting of monitoring how the knowledge state of students changes during the learning process and accurately predicting their performance in future exercises. In recent years, many advances have been made thanks to various machine learning and deep learning techniques. Despite their…

Background: Previous literature suggests that children with Down syndrome (DS) have difficulties in cognitive and affective components of Theory of Mind (ToM). However, the nature of the distinction between cognitive and affective ToM has not yet been addressed in depth in this population. Aims: This work is aimed at studying the cognitive and…

The rapid advancement of generative AI technology offers new opportunities for the innovation and transformation of education. However, this also brings forth risks and challenges, including the potential to exacerbate educational inequality and integrity. This study aims to address the extensive controversies surrounding the application of…

This study provides research-based evidence to profile: (1) the roles of artificial intelligence in nursing; (2) its research applications; and (3) the research trends for future study. On the basis of the PRISMA statement, a series of AI and nursing education related keywords from the literature were used to retrieve high-quality journal articles…

Computer-based simulations for learning offer affordances for advanced capabilities and expansive possibilities for knowledge construction and skills application. Virtual agents, when powered by artificial intelligence (AI), can be used to scaffold personalized and adaptive learning processes. However, a synthesis or a systematic evaluation of the…

Background/purpose: With the advent of Artificial Intelligence (AI), it has become possible to invent computer systems that can perform human-like processes to tackle large data and solve complex problems. AI has manifested itself in the field of education through several technologies such as intelligent tutoring systems, adaptive…

Background/purpose: Exploring intelligent agents in digital learning raises questions about the essence of Artificial Intelligence (AI) and its potential impact on education. This article provides insights into these inquiries and outlines outcomes from various experimental implementations, emphasizing the pivotal role of intelligent agents and…

Online learning is becoming more and more common, so how to maintain learners' online learning engagement is very important. This study aims to explore the impact of future self-continuity on college students' online learning engagement and its underlying mechanism of action. We utilized the Future Self-Continuity Questionnaire, the Learning…