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Sayim Aktay; Seckin Gok; Aytug Yildirim – International Technology and Education Journal, 2024
The aim of this study is to develop a reliable and valid scale to determine individuals' attitudes toward artificial intelligence. The study was conducted during the spring semester of 2024 with the participation of pre-service teachers studying at the Faculty of Education at Mugla Sitki Koçman University in Turkey. A total of 410 pre-service…
Descriptors: Artificial Intelligence, Attitude Measures, Educational Benefits, Goodness of Fit
Uribe-Banda, Constanza; Wood, Eileen; Gottardo, Alexandra; Biddle, Jacqueline; Ghaa, Cliff; Iminza, Rose; Wade, Anne; Korir, Emmanuel – Cogent Education, 2023
The present study compared the learning and experiences of Kenyan teachers randomly assigned to either an online or a blended 12-week intensive teacher professional development program (TPD). The TPD addressed the fundamentals of early literacy development as well as how to use early literacy software to support students learning. TPD outcomes…
Descriptors: Faculty Development, Foreign Countries, Blended Learning, Teaching Methods
Youqin Pan; Jian Gu – International Journal of Technology in Teaching and Learning, 2023
This paper explores the potential of using Chat Generative PreTrained Transformer (ChatGPT), a powerful language model, as an innovative tool to enhance education in the classroom. Drawing from firsthand experience, this paper demonstrates how ChatGPT can be integrated into the teaching and learning process of statistics and data analytics…
Descriptors: Teaching Methods, Learning Processes, Artificial Intelligence, Computer Software
Paul Riser – English in Education, 2025
This study examines how secondary English teachers embed generative Artificial Intelligence (AI) in their curricula while preserving genuine student voice and promoting informed approaches to academic integrity. Data was gathered in three public high schools by way of classroom videos, teacher interviews, and student reflective journals. Analysis…
Descriptors: Ethics, English Instruction, Teaching Methods, Artificial Intelligence
Mubarak M. Aldawsari; Abdullah D. Alenezi; John I. Liontas – Reading Matrix: An International Online Journal, 2025
Artificial Intelligence (AI) has rapidly become a pivotal force in education, offering personalized learning pathways and dynamic solutions to longstanding instructional challenges. In English as a Foreign Language (EFL) contexts, idiomatic competence remains a challenging aspect of language development, often eluding effective coverage through…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
Nurul Ashikin Izhar; Wendy Ven Ye Teh; Anita Adnan – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This study investigates the key factors influencing the adoption and use of artificial intelligence (AI) applications among researchers, focusing on effort expectancy, satisfaction, perceived ease of use, and perceived usefulness, which shaped attitudes and drove AI adoption as a research assistant. Background: AI tools have rapidly…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Technology Integration
Hajar Darif; Mohammed Amine Lafraxo – Educational Process: International Journal, 2025
Background/purpose: The emergence of educational technologies has profoundly transformed teaching and learning methods in health sciences. This bibliometric study aims to identify the most widely used educational practices in this field between 2014 and 2024, exploring their applications within a constantly evolving technological context.…
Descriptors: Programming Languages, Bibliometrics, Research Reports, Educational Technology
Mustafa Taktak – International Journal of Technology in Education, 2025
This study examines the potential and challenges of artificial intelligence applications like ChatGPT in higher education, drawing on the experiences of 24 academics from eight countries: Turkey, Sweden, Canada, Iran, Kenya, Pakistan, Afghanistan, and Japan. Employing the content analysis method, the findings reveal that ChatGPT provides…
Descriptors: Teaching Methods, Research Methodology, Higher Education, Artificial Intelligence
Victor A. Barger; Pavan Rao Chennamaneni; Andrew J. Dahl; James W. Peltier – Marketing Education Review, 2025
The rapid rise of artificial intelligence (AI) presents both challenges and opportunities for marketing educators. This paper outlines a transformative process undertaken by our department to integrate AI across the marketing curriculum. We detail a strategic shift from initial resistance to acceptance, resulting in the successful integration of…
Descriptors: Business Education, Marketing, Artificial Intelligence, Teaching Methods
Jonathan Brazil; Suijing Yang; Fabienne van der Kleij – Australian Council for Educational Research, 2025
This document provides guiding principles and practical examples for using AI in teaching and learning. Underpinned by a human-centred approach, the PATH principles serve as key guidance to ensure the ethical and effective integration of AI systems into teaching and learning. The PATH principles are: Promote teaching and learning; Advance…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Educational Principles
Nuchsara C. Thongsan; Neil J. Anderson – LEARN Journal: Language Education and Acquisition Research Network, 2025
This study investigates the integration of ChatGPT, a generative AI tool, into critical reading instruction for university-level EFL learners. Recognizing the importance of higher-order reading skills such as evaluating arguments, recognizing bias, synthesizing information, and generating counterarguments, the research explores how AI-supported…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration
Ulzhamal Konakbayeva; Perizat Baltasheva; Bakyt Kuanysheva; Indira Dauletova; Galiya Kydyrbayeva; Tatyana Karataeva – Educational Process: International Journal, 2025
Background/purpose: The marginalization of art education globally has prompted concerns about the instructional competence of art teachers. This study probed the potential of microteaching lesson study as a remedy, with a novel integration of generative artificial intelligence. Materials/methods: This was a pre-test/post-test controlled study with…
Descriptors: Artificial Intelligence, Microteaching, Teacher Effectiveness, Self Efficacy
Adriaan Lochner – Perspectives in Education, 2025
Higher education institutions have various and mostly well-established methods for students to consult with their lecturers. Lecturers have traditionally expected students to make use of face-to-face interaction through after-class consultations and asking questions in class. It is, however, imperative that higher education reflects on whether…
Descriptors: Age Groups, Teacher Student Relationship, Higher Education, Technology Integration
Chung, Sock H.; Farah, Badie N.; Tang, Hung-Lian – Journal of Information Technology Education: Research, 2022
Aim/Purpose: The purpose of this study is to propose a curriculum development model for the integration of technology, organization, and environment (TOE) framework into enterprise resource planning (ERP) systems education. The study investigated the relationships between the three factors of the TOE framework and student learning outcomes from…
Descriptors: Information Systems, Computer Software, Planning, Technology Integration
Gamage, Sithara H. P. W.; Ayres, Jennifer R.; Behrend, Monica B. – International Journal of STEM Education, 2022
Background: The Moodle Learning Management System (LMS) is widely used in online teaching and learning, especially in STEM education. However, educational research on using Moodle is scattered throughout the literature. Therefore, this review aims to summarise this research to assist three sets of stakeholders--educators, researchers, and software…
Descriptors: Educational Trends, Educational Research, Integrated Learning Systems, Technology Integration

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