Given the high degree of autonomy and epistemic competencies required for university learning, students need the ability to make rational decisions rather than relying on heuristics and intuition. Previous cross-sectional findings indicate positive relations between rational thinking and university academic outcomes, but longitudinal research is…

Face anonymization in intelligent experimental education is crucial for privacy protection. This paper presents a novel, real-time face blurring system for smart experimental settings. Our key contributions include: 1) customized YOLOv8 (Multi-Scale Feature Fusion YOLOv8) algorithm achieving 96% accuracy at 22.67 fps for 1080p video. 2) An…

The early years of childhood represent a critical time frame in emotional development. This qualitative study sought to elucidate the impact of parental relationships and parents' emotional intelligence on young children's development of emotional intelligence capacity, as well as changes in this development when a dyadic clinical intervention was…

The integration of artificial intelligence (AI) into augmentative and alternative communication (AAC) systems has revolutionized the way non-verbal individuals interact with their environment. AI-powered symbolic text prediction offers innovative solutions to enhance expressive and receptive communication, promoting autonomy and social inclusion.…

This qualitative study explored the experiences of early career school-based agricultural education teachers in California who participated in a multi-part professional development series focused on emotional intelligence. Rooted in Guskey's model for teacher change, the study aimed to examine how emotional intelligence-based learning influences…

Opportunities and challenges in the integration of Artificial Intelligence (AI) in education require thorough exploration, particularly in the context of Open and Distance Learning (ODL). This study examines faculty members' perceptions of AI's role, opportunities, and the challenges faced in its implementation to develop policy recommendations.…

Background: Artificial intelligence (AI) can support more personalised learning in K-12 education, reshaping the educational experience for all students. However, little is known about how AI is being designed and implemented to support accessible and equitable learning experiences for all students, including those with disabilities and academic…

Research on artificial intelligence (AI) in higher education largely emphasises technical performance and outcomes, leaving student views of teacher interpersonal behaviours in AI-mediated classrooms insufficiently understood. In response, this study applied Q methodology, supported by content and sentiment analyses, to examine student…

The role of AI in education is slowly growing. As a new technology, its uses and capabilities have not been fully realized or understood. AI provides many opportunities as well as challenges for supporting students, teachers, and skills development. However, from higher education faculty to preschool teachers, the ways in which AI can support…

Background/purpose: The study aimed to investigate the effectiveness of teaching based on multiple intelligences in acquiring chemical concepts and the ability to explain household chemical phenomena among basic-stage students. Materials/methods: The study employed an experimental method with a quasi-experimental design for two non-equivalent…

How can students use AI as a tool to assist them in the learning process? More importantly, how are students using AI and how is it impacting their learning? The purpose of this research study was to explore and understand the perceptions of students' experiences with AI tools and how it has impacted their learning experience. As AI continues to…

Purpose: This study investigates the significant determinants that lead different work-field employees to develop intentions to enroll in educational programs that use artificial intelligence (AI). Venkatesh's (2000) technology acceptance model 3 (TAM3) is the foundation for the proposed research model in the current study, presenting a complete…

Academic reading, a cornerstone of postgraduate education, often presents challenges, particularly for non-native English speakers. These include complex texts, extensive vocabulary, and integrating diverse sources. This study investigates the potential of ChatGPT as an academic reading tool for postgraduate students, emphasizing its usability,…

The rapid development of Generative AI (GenAI) tools presents challenges for their ethical and responsible use. This pilot study examines student learning agreements as a governance tool for GenAI use in a first-year engineering course. These agreements included ethical and social considerations that students accepted if they chose to use GenAI.…

Since higher education institutions aim to promote social justice through equity, diversity, and inclusion (EDI), educators have raised concerns about the equitable and inclusive implementation of AI-based assessment practices in academic writing for multilingual students, who have been historically disenfranchised. Using academic literacies and…