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…

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…

This chapter introduces the AI & Data Acumen Learning Outcomes Framework, a comprehensive tool designed to guide the integration of AI literacy across higher education. Developed through a collaborative process, the framework defines key AI and data-related competencies across four proficiency levels and seven knowledge dimensions. It provides…

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…

This paper introduces a novel four-dimensional analytical framework to examine how universities are positioned within national artificial intelligence strategies amid intensifying geopolitical competition. Through systematic document analysis of policy frameworks across eight major global actors--the United Kingdom, Russia, India, the European…

Background: Computer science faces a persistent attrition problem, with people leaving the field at a rate that exceeds new entrants. Given the increasing demand for computing jobs, it is essential to focus on reducing the number of individuals exiting the field. Purpose: This study investigates why individuals leave the computer science field…

This study investigates the reliability and consistency of a custom GPT-based scoring system in comparison to trained human raters, focusing on B1-level opinion paragraphs written by English preparatory students. Addressing the limited evidence on how AI scoring systems align with human evaluations in foreign language contexts, the study provides…