This study examined how mathematics anxiety, trait emotional intelligence, and mathematics self-concept predict calculation fluency, numerical operations, and mathematical reasoning in students with and without mathematics learning difficulties (MLD). Participants (N = 326) were third- to fifth-grade students from China who completed standardized…

In the context of Education 4.0, inclusive teacher training must not only address enduring pedagogical and institutional barriers but also respond to emerging technological challenges and opportunities--particularly those posed by artificial intelligence (AI). Following PRISMA guidelines, this study presents a systematic literature review of 103…

This study investigates the integration of artificial intelligence into the Think-Pair-Share (TPS) methodology through a learning analytics lens. Using a mixed-methods quasi-experimental design (N=140), we examined how an AI-enhanced collaborative platform influences creative thinking among computer science undergraduates. The experimental group…

Background/purpose: Middle school is a critical stage for shaping students' academic paths, but traditional orientation methods often fail to predict suitable trajectories, leading to mismatches that impede success. This study aims to develop a proactive, data-driven framework to forecast academic orientation for middle school students, enhancing…

As digital technologies evolve, traditional teaching methods in design and art education are increasingly insufficient to meet students' learning needs. While Generative Artificial Intelligence (GenAI) has introduced transformative applications in education, its impact on design and art curricula remains underexplored. To address this gap, this…

The study aimed to answer 'How students in higher education utilise AI to enhance their academic performance when there is an intrinsic motivation to learn'. An online survey was used to collect data from 170 undergraduate students who pursue management and administration-related courses. The structural equation modelling (SEM) was conducted using…

Employability has been a key area of interest for researchers, especially as China faces increasing pressure in the labor market due to shifting supply and demand dynamics. Despite a steady increase in the number of graduates over the past five years, employment rates have declined, and the rates of slow employment, a slower state of employment,…

This study investigates the effects of utilizing the AI course assistant, Spark, on student academic performance at Los Angeles Pacific University (LAPU). Focusing on grade outcomes, the research reveals that students who engaged with Spark three or more times achieved significantly higher grades compared to those who did not use the AI assistant.…

Purpose: With the increasing prevalence of autism spectrum disorders (ASD), the importance of early screening and diagnosis has been subject to considerable discussion. Given the subtle differences between ASD children and typically developing children during the early stages of development, it is imperative to investigate the utilization of…

Despite their use in the classroom remaining controversial, generative AI chatbots that utilize LLMs have revolutionized all aspects of learning, formal and informal, and are proving remarkably useful in a second-language setting even if not primarily designed for foreign language learning. Across the globe, students' and faculty members' written…

The COVID-19 outbreak necessitated a rapid transition to eLearning in higher education institutions worldwide, including Uganda, where infrastructural and digital literacy challenges compounded this shift. Predicting student satisfaction with eLearning systems helps institutions evaluate how well these platforms are working, assess their future…

As AI technologies become increasingly integrated into education, this research investigates how students react to AI-generated versus human feedback in teamwork skills assessment. In Study 1, 108 students completed a virtual teamwork simulation and received assessment feedback framed as either AI- or human-generated. Students showed a clear…

This publication summarises Australian employers' use and views of the vocational education and training (VET) system, and focuses on employer engagement and satisfaction with both accredited and unaccredited training. The findings are derived from the 2025 Survey of Employers' Use and Views of the VET System, a biennial survey that collects…

Purpose: The purpose of this study was to develop and apply machine learning methods that accommodate and leverage process heterogeneity when investigating mediation. We develop causal machine learning methods that relax assumptions of (indirect) effect homogeneity, accommodate high dimensional mediator sets, capture heterogeneous,…

The emergence of Generative Artificial Intelligence (AI) tools has sparked heated debates across higher education institutions, particularly concerning how students have been making "use" of it. Faculty mostly approach AI either as a potential tool for plagiarism that poses a threat to academic integrity or as a tool that can be used in…