This study investigates the relationship between teachers' use of artificial intelligence (AI) technologies and their flexible thinking skills within learning processes, addressing a critical gap in the literature where limited research has examined this connection in the context of teacher education. A predictive correlational research design was…

"Andragogy in Practice" is a timely book of case studies, which offers readers the opportunity to see andragogy in practice solving real-world challenges in a variety of adult learning contexts. It highlights the wonderful range of innovative practices that characterize adult learning today. Holton, Robinson, and Caraccioli, authors of…

This research explores adoption of the Deepseek, an artificial intelligence (AI) platform among higher education students in India by integrating the Technology Acceptance Model (TAM) with learning motivation factors. Given the rapid rise of AI-based platforms in educational sector, understanding their adoption is not only timely but also…

Artificial intelligence (AI) is transforming education by enabling personalised learning, innovative teaching, and administrative efficiency, yet it also raises ethical, legal, and equity concerns. This study examines the integration of AI in education across European countries and Ukraine, analysing national strategies, policy documents, and…

Complex interactions between personality traits, technology literacy, and anxiety levels influence pre-service special education teachers' attitudes towards artificial intelligence (AI). However, the mechanisms underlying these interactions have not been sufficiently investigated in the literature. This study examines the mediating roles of AI…

Artificial intelligence (AI) has been introduced into tools and technologies, such as chatbots, for language teaching, allowing educators to better meet the needs of individual students. Chatbots may act as virtual tutors in online learning environments, giving students the ability to access leaning support as needed. Chatbots can improve…

The present study is a short-term intervention program aimed at cultivating children's creativity based on the 'butterfly model' of nurturing creativity, adopting a 2 × 3 mixed experimental design with placebo and no-treatment groups. They also received the equal intervention after the experimental group finished for the sake of fairness to all…

The purpose of this mixed-methods study was to investigate how generative AI tools, particularly ChatGPT, impact preservice teachers' lesson plans and attitudes toward mathematics. Fifty-five undergraduate students who were enrolled in their first semester of a teacher education program participated in the study. Each student created two lesson…

This study investigates the implications of AI-generated educational content, focusing on its authenticity, reliability, and ethical considerations within the context of Education 4.0. Employing a sequential explanatory mixed-methods approach, we combine qualitative insights from semi structured interviews with 20 educators and AI developers and…

This article presents an empirical study investigating the ability of ChatGPT to translate religious texts involved in academic writing. Specifically, religious texts are not easy to translate even for human proficient translators. Three Arabic academic abstracts, religion-oriented, were involved in our study taken from AlQalam Journal which is…

Chemistry education researchers have, for many years, explored different ways of learning chemistry through modeling and open-ended problem-solving. With the emergence of generative artificial intelligence (GenAI) tools such as ChatGPT, students now have access to dynamic scaffolds that can potentially support them in modeling. However, we still…

Open-text responses provide researchers and educators with rich, nuanced insights that multiple-choice questions cannot capture. When reliably assessed, such responses have the potential to enhance teaching and learning. However, scaling and consistently capturing these nuances remain significant challenges, limiting the widespread use of…

While high-accuracy machine learning (ML) models for predicting student learning performance have been widely explored, their deployment in real educational settings can lead to unintended harm if the predictions are biased. This study systematically examines the trade-offs between prediction accuracy and fairness in ML models trained on the…

The increasing number of migrants from neighboring countries has caused significant challenges to Turkey's education system, particularly within multicultural classrooms that include diverse languages and cultures. This study investigates the influence of cultural intelligence on pupil control ideology, employing a serial multiple mediation model…

This study explores the role of social influence in the adoption strategies of generative artificial intelligence (GenAI) among graduate and undergraduate students. Using the Unified Theory of the Acceptance and Use of Technology (UTAUT) and its key behaviour intention determinant, social influence, the relationship between GenAI popularity among…