Early school adjustment is an important process for children with autism spectrum disorder, as it influences not only their academic success but also the development of social communication and interaction skills. Several factors influence school adjustment, but the quality of the teacher-child relationship plays a decisive role. Therefore, the…

Background/purpose: This study examines the behavioral factors influencing the adoption of AI-powered generative technologies in higher education and their impact on students' cognitive engagement--a crucial element of sustainable, inclusive, and high-quality learning, as envisioned by UNESCO's Sustainable Development Goal 4 (SDG4). The study…

Academic procrastination remains a common problem among university students, yet most research overlooks discipline-specific dynamics. The purpose of this study was to examine the structural relationships between social media addiction, academic self-efficacy, and academic procrastination among sports science students, with a particular focus on…

Teacher self-efficacy (TSE) has been linked to various positive outcomes for both teachers and students, such as increased teacher resilience and improved student performance. While extensive research has been conducted with in-service teachers, there has been limited focus on preservice teachers or teacher candidates. This three-year longitudinal…

Digital learning games have been increasingly adopted in classrooms to facilitate learning and to promote learning outcomes. Contrary to common beliefs, many digital learning games can be more effective for female students than male students in terms of learning and affective outcomes. However, the in-game learning mechanisms that explain these…

This study explores the crucial influence of technological and individual-social factors on the willingness of university students to use mobile learning (m-learning). It analyzes the direct, indirect, and overall effects of these factors. Furthermore, it examines how gender and age serve as moderators of the direct impact of each determinant on…

Classroom behavioural management stands as one of the most critical skills for teachers to master, both in theory and practice. This study aimed to compare the knowledge and skills in behaviour management between two groups: special education teachers in integrated special education classes and mainstream teachers in inclusive classrooms within…

The aim of this study was to assess test-retest reliability and diagnostic validity of self-report instruments of depression and anxiety in autistic youth. Participants were 55 autistic youth aged 8-17 years presenting with depressive or anxiety symptoms. They were interviewed with the Kiddie Schedule for Affective Disorders and Schizophrenia for…

This article explores some of the disparities between policy and practice in relation to the use of managed moves in the UK education system. The article interweaves professional reflection as a practitioner, into a review of academic literature and policy in relation to how managed moves could be implemented in order for them to better serve the…

Recently, the use of artificial intelligence (AI) technologies has developed many aspects of education, as reported by several studies. However, little research has been done on the impact of AI-mediated education on junior middle school students' psycho-affective factors and behaviours. To fill the gaps, this study took an interventional…

This paper explores teachers', parents' and pupils' perceptions and described experiences of school toilet policies, provisions and practices within state-funded primary (5-11 years) and secondary (11-16 years) schools in England. In doing so, this research critically examines how school-specific policies and toilet provisions influence children's…

Background: Due to disruptive student behavior, a K-5 urban school developed a problem of practice that focused on creating a classroom management plan and a social-emotional plan for students to regulate their emotions effectively, allowing teachers to execute engaging lessons that increase student engagement. Informal observations conducted by a…

Artificial intelligence (AI) has garnered significant attention in recent years, especially following the introduction of generative large language model (LLM)-based chatbots. This study investigates the factors influencing the adoption of ChatGPT, a widely used AI-powered chatbot, among students and teachers. Using the Unified Theory of…

The value of peer feedback for learning depends upon students regularly providing high-quality feedback to their peers, but little is known about the factors influencing feedback-providing behaviors. This study explores the consistency of students' feedback-providing behaviors and its relations to students' writing ability (an individual…

A data-driven model where individual learning behavior is a linear combination of certain stylized learning patterns scaled by learners' affinities is proposed. The absorption of stylized behavior through the affinities constitutes "building blocks" in the model. Non-negative matrix factorization is employed to extract common learning…