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Jiun-Yao Cheng; Ajit Devkota; Masoud Gheisari; Idris Jeelani; Bryan W. Franz – Journal of Civil Engineering Education, 2025
Artificial intelligence (AI) presents significant opportunities and challenges within the construction industry. Higher education will have a vital role in preparing future professionals to leverage AI tools, and in the effective incorporation of AI into construction curriculums is a topic of debate. As educators, construction faculty can offer…
Descriptors: Artificial Intelligence, Technology Integration, Construction Industry, Career and Technical Education
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Mohammed Nasiru Yakubu; Nakama David; Naima Hafiz Abubakar – Education and Information Technologies, 2025
Generative Artificial Intelligence tools have the potential to impact students learning significantly and positively in several ways. However, the factors responsible for student's behavioural intentions to use these tools are still not fully understood, especially in the context of Nigerian higher education institutions (HEIs). To support…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Intention
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Gaurav Chopra; Preeti Bhaskar; Ajay Purohit; Artur Strzelecki – Education and Information Technologies, 2025
This comparative study explores the determinants affecting universities students' inclinations to adopt ChatGPT across India and Poland via the unified theory of acceptance and use of technology (UTAUT) model. The research employs a quantitative methodology by collecting data from 1074 students (528 from Poland and 546 from India) through a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, College Students
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Radovan Vrana – New Review of Academic Librarianship, 2025
The paper presents findings from an empirical research study of facts, opinions, and attitudes toward AI tools in Croatian higher education (HE) libraries, key stakeholders in Croatian HE. The findings indicate that AI has made moderate inroads into these libraries, but there's potential for more extensive use in tasks and specific library…
Descriptors: Foreign Countries, Academic Libraries, Artificial Intelligence, Library Administration
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Ana-Inés Renta-Davids; Marta Camarero-Figuerola; Mar Camacho – Review of Education, 2025
The increasing integration of Artificial Intelligence (AI) in educational settings is transforming the role of school leaders, reshaping how decisions are made, and introducing both opportunities and challenges. This paper presents the findings of a scoping review that synthesises the current literature on AI's impact on educational leadership.…
Descriptors: Artificial Intelligence, Instructional Leadership, Technology Integration, Decision Making
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James T. Davis – HAPS Educator, 2025
The use of large language models (LLMs) in education is often debated, but when used effectively, they can enhance learning. LLMs can be particularly useful for reinforcing physiology concepts, such as diagnostic reasoning in acid-base balance disorders. Traditional case-based learning is limited by the number of instructor-provided cases, whereas…
Descriptors: Physiology, Artificial Intelligence, Computer Uses in Education, Case Method (Teaching Technique)
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Zeynep Dere; Naze Deniz Dogan – Journal of Pedagogical Research, 2025
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…
Descriptors: Artificial Intelligence, Thinking Skills, Technology Uses in Education, Teacher Attitudes
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Yucheng Chu; Hang Li; Kaiqi Yang; Harry Shomer; Yasemin Copur-Gencturk; Leonora Kaldaras; Kevin Haudek; Joseph Krajcik; Namsoo Shin; Hui Liu; Jiliang Tang – International Educational Data Mining Society, 2025
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…
Descriptors: Grading, Automation, Artificial Intelligence, Natural Language Processing
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Raymond A. Opoku; Bo Pei; Wanli Xing – Journal of Learning Analytics, 2025
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…
Descriptors: Prediction, Accuracy, Electronic Learning, Artificial Intelligence
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Suna Utar Özkan – Psychology in the Schools, 2025
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…
Descriptors: Cultural Awareness, Intelligence, Classroom Techniques, Student Diversity
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Anna Korchak; Ghadah Al Murshidi; Aleksandra Getman; Noor Raouf; Marwa Arshe; Nawal Al Meheiri; Galina Shulgina; Jamie Costley – Innovations in Education and Teaching International, 2025
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…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Artificial Intelligence
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Kathleen Kennedy; Anuj Gupta – Thresholds in Education, 2025
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…
Descriptors: Artificial Intelligence, Digital Literacy, Scaffolding (Teaching Technique), Higher Education
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Rubén González Vallejo, Editor – IGI Global, 2025
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…
Descriptors: Artificial Intelligence, Computer Mediated Communication, Intelligent Tutoring Systems, Second Language Instruction
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Yakun Zhang; Ziwei Pan; Lina Huang; Xingli Zhang; Lung An Chen; Jiannong Shi – Educational Psychology, 2025
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…
Descriptors: Teaching Methods, Childrens Attitudes, Creative Thinking, Creative Development
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Aimee Weathers; Diana Curtis – Journal of Technology and Teacher Education, 2025
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…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Mathematics Instruction
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