Artificial intelligence (AI) and big data methodologies have provided a vast possibility of applications in different public policy sectors. AI and big data provide essential innovations in school teaching and learning practices, curriculum, and management in education, transforming the entire formulation and implementation of education policy.…

The introduction of generative artificial intelligence (AI) to the wider public could have a huge impact on EFL learning and teaching. Researchers have voiced concerns that learners might lean too much on technology. Previous studies have investigated the use of AI tools in L2 writing with various populations and found that it was difficult for…

Background: Gestures are an integral component in human-to-human communication when the speaker is visually present to the listener. In the past several years, research has examined how computer-generated pedagogical agents can be designed to perform the four main gesture types and what this means for agent persona and learning outcomes. The…

Stakeholders agree that accounting graduates need excellent relational acumen (communication, leadership, people, relationship-building, teamwork, self-management, and emotional intelligence [EI] skills) to successfully navigate an increasingly multicultural and digitally impacted workplace. Prior research has mainly evaluated the effectiveness of…

From September 2023 to March 2024, Faculty AI, the National Institute of Teaching (NIoT) and ImpactEd Group (representing the AI in Schools Initiative) have worked with the Department for Education (DfE) to deliver the Use Cases for Generative Artificial Intelligence in Education project. The project explored potential applications for Generative…

This comprehensive guide illuminates the art and science of educational assessment, blending ancient alchemical wisdom with modern AI innovations. Part one lays the foundation, exploring essential principles of assessment and evaluation and its pivotal role in shaping learning outcomes. Part two delves into diverse assessment types, from formative…

This research investigated the effects of generative AI on affective factors (motivation, interest, and confidence) of English as a foreign language (EFL) learners enrolled in Korean university-level general English courses. During the Spring 2024 semester, this study involved 89 participants exposed to a generative AI-based instruction model.…

This study investigates the performance of GPT-4, an advanced AI model developed by OpenAI, on the force concept inventory (FCI) to evaluate its accuracy, reasoning patterns, and the occurrence of false positives and false negatives. GPT-4 was tasked with answering the FCI questions across multiple sessions. Key findings include GPT-4's…

Background: The voices virtual on-screen characters use has been shown to impact learning and perception outcomes. Recent replication research on these voices showed that synthetic voices were not a detriment if produced by a high-quality engine with clear articulation. The current manuscript examines previous accent research that utilized now…

Various AI technologies have been extensively introduced in language learning, showing positive impacts on students' learning, especially on their classroom-based engagement. Yet, AI's comprehensive affordances as well as influences across different cohorts of student engagement remain underexplored. Given this, the current study, employing…

This research paper focuses on the adoption of multi-perspective theory to study teachers' attitudes and intentions towards using intelligent mixed reality (MR) devices for classroom behaviour analysis. The research model integrates TRI (Technology Readiness Index), IDT (Innovation Diffusion Theory), ECM (Expectation Confirmation Theory) and TAM…

Purpose: The advent of artificial intelligence technologies, exemplified by platforms such as ChatGPT, has created a profound global impact, with a particular resonance in education. This research aims to integrate the information systems success (ISS) model with the stimulus-organism-response (SOR) paradigm to explore how information quality and…

Peer-tutoring (PT) is a widely studied learning strategy. No studies, to our knowledge, have examined the effects of PT on tutors' metacognitive abilities, particularly in relation to implicit theories of intelligence. Study 1 aimed to determine the effects of PT on tutors' theory and beliefs of intelligence and self-confidence in their own…

Teaching remains a profession that is associated with certain health risks. Teachers complain of psychosomatic experiences such as exhaustion, fatigue, headache, and tension more than people in other professions. High levels of stress amongst teachers also pose a risk for students, as this is associated with poorer teaching quality and lower…

The performance history of 277 students in clothing and textile from two tertiary institutions in southern Nigeria was studied by artificial neural networks (ANN) and analysis of variance (ANOVA) in terms of institution, gender, ordinary level (O-level) qualification, marital status, and age. The study was guided by five research questions and…