Predicting academic performance in Educational Data Mining has been a significant research area. This involves utilizing machine learning techniques to analyze data from educational settings. Predicting student academic performance is a complex task due to the influence of multiple factors. This research uses supervised machine-learning approaches…

Recently, there has been a plethora of studies about students' attitudes toward the use of artificial intelligence (AI) technologies in education, particularly in higher education and language education; however, research on AI use in high school settings has gained relatively little attention, leaving a huge research gap in the literature. This…

The purpose of this opinion piece is to explore the potential of ChatGPT as a virtual assistant for transnational educators in the context of Finnish education export. It examines the possibilities and limitations of utilising ChatGPT to support short-term teaching assignments abroad. Utilising Su and Yang's (2023) framework for using ChatGPT in…

With the UK government's target of Net Zero by 2050, alongside the rising cost of energy in the UK, it is imperative that public opinion aligns with and promotes affordable, greener energy systems. Within this dialogue, young people's voices and lived experience are needed to deepen the impact of energy policy intervention strategies. This article…

This paper explores the potential of large language models to accurately extract and translate equations from typed student responses into a standard format. This is a useful task as standardized equations can be graded reliably using a computer algebra system or a satisfiability modulo theories solver. Therefore physics instructors interested in…

Generative artificial intelligence (GenAI) has quickly become prolific in our daily lives, including the higher education sector. Although an AI-fuelled world is unpredictable, there is an urgent need to understand how university students use GenAI to support their learning and the factors influencing GenAI adoption. In this study, underpinned by…

Debate exists about the role and value of teaching spelling in the middle years of schooling. The increasing use of assistive technology in schools, has prompted questions about the time devoted to teaching spelling. Yet spelling and writing continue to be the means through which students are assessed as they move through school. In their study of…

This study explores the application of communicative AI agents, specifically a network of customized generative pretrained transformer agents, in designing mathematical tasks. It focuses on how these AI agents, functioning as a multi-professional team, can perform mathematical task design (concerning a collection of task activities and not…

Purpose: The rapid digitalization and emergence of AI tools are transforming school organizations. However, limited research exists on how school leaders integrate these technologies into their leadership practices. This study focuses on the experiences of school leaders in Cyprus, exploring the benefits and challenges of adopting digital and AI…

As technology rapidly evolves, generative AI tools are increasingly integrated across various fields, including education. ChatGPT, a well-known language model developed by OpenAI, has gained significant importance in educational settings. This study employed a quantitative, cross-sectional survey design and employed the Unified Theory of…

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…

This exploratory case study examines how AI technologies, specifically a GPT-4-based synopsis chatbot, can serve as a sparring partner for doctoral students in Norway. Despite favourable conditions, only two-thirds of Norwegian PhD candidates complete their doctorates, partly due to challenges with article-based dissertations that require a…

Purpose: This study investigates how entrepreneurship education influences e-entrepreneurial intention through e-entrepreneurial self-efficacy, with generative artificial intelligence incorporation as a moderating factor. The study uses the stimulus-organism-response (SOR) framework to comprehensively understand the relationship between…

This study aimed to identify the experiences of students on the reflections of arts education supported by generative artificial intelligence in their abstract art practices. As a qualitative research method, the case study design was used in the study. The sample of the study included 12 last-year students in the Art Education Program of a state…

Understanding the role of emotion in student learning has become increasingly important in educational research, particularly in physically demanding disciplines such as Physical Education (PE), where motivation, confidence, and emotional resilience are critical for performance and engagement. Despite this, limited attention has been given to how…