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Hyunkyung Lee; Lynette Mott Bryan – Professional Development in Education, 2025
Artificial Intelligence (AI) is increasingly embedded in daily life, transforming how we process information, analyse data, and communicate. As AI enables new forms of interaction, educators need to assess its implications for teaching and learning. This study examines how AI tools, specifically ChatGPT, were integrated into preservice teacher…
Descriptors: Barriers, Technology Integration, Artificial Intelligence, Computer Software
Zehavit Kohen; Liron Schwartz-Aviad; Tomer Peleg – International Journal of Mathematical Education in Science and Technology, 2025
This study examines a Technology, Pedagogy, Content Knowledge (TPACK) training framework for pre- and in-service mathematics teachers that enables them to experience inquiry-based learning as learners in a dynamic geometry environment that serves as a mathematics laboratory. We investigate the effect of this experience on the teachers' TPACK,…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Mathematics Teachers, Preservice Teachers
Bright Asare; Francis O. Boateng – Journal of Pedagogical Research, 2025
This study aimed to examine the effect of ChatGPT usage on pre-service mathematics teachers 'selfefficacy in mathematics learning. The study further examined the mediating role of self-awareness and self-regulatory learning on the nexus between ChatGPT Usage and pre-service mathematics teachers' selfefficacy. The study adopted a survey approach…
Descriptors: Preservice Teachers, Mathematics Teachers, Teacher Education Programs, Metacognition
Jundan Wang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This study analyzed the impact of AI teaching on teaching quality, and revealed the mediating effect of student motivation and teacher expertise in the relationship of AI teaching and teaching quality. Based on the AI-TPACK theory, this study explored the impact of AI teaching on teaching quality and its mediating mechanism using questionnaires…
Descriptors: Educational Quality, Technological Literacy, Pedagogical Content Knowledge, Teacher Effectiveness
Xiaohua Liu – International Journal of Technology in Education, 2025
Despite increasing calls for integrating generative AI (GAI) into education, individual teachers still show disparate attitudes and actions. It is thereby pivotal to understand the reasons behind such divergent responses. However, factors affecting teachers' uptake of GAI in their instruction, particularly their endorsement of students' engagement…
Descriptors: Teacher Attitudes, Technological Literacy, Pedagogical Content Knowledge, Computer Software
Favour Mosunmola Sobowale; Ibrahim Abba Mohammed; Fati Ali; Berechiah Manji Samson; Abdulazeez Sadiku – Discover Education, 2024
Lack of proper laboratories and inadequate facilities have become some of the factors affecting chemistry practical in Nigeria which therefore affects students' performance. While there were many studies conducted on the effectiveness of mobile learning, literature remains very scarce in the Nigerian context. In order to tackle this problem, using…
Descriptors: Preservice Teacher Education, Teacher Education Programs, Chemistry, Science Instruction
Md Manjurul Islam – Journal of Practical Studies in Education, 2024
This study seeks to detect the problems and solutions of using technology at Kurigram Government College at the undergraduate level, located in the northern border area of Bangladesh. The study presents the existing scenario of using technology in Kurigram Government College at the undergraduate level since the practice of technology in the class…
Descriptors: Public Colleges, Undergraduate Students, Geographic Regions, Teacher Attitudes
Yunus Kökver; Hüseyin Miraç Pektas; Harun Çelik – Education and Information Technologies, 2025
This study aims to determine the misconceptions of teacher candidates about the greenhouse effect concept by using Artificial Intelligence (AI) algorithm instead of human experts. The Knowledge Discovery from Data (KDD) process model was preferred in the study where the Analyse, Design, Develop, Implement, Evaluate (ADDIE) instructional design…
Descriptors: Artificial Intelligence, Misconceptions, Preservice Teachers, Natural Language Processing
Fulya Torun; Seda Özer Sanal – International Journal of Technology in Education, 2025
Education should strive to keep pace with the developments of the modern world and to fulfill its mission by not deviating from the principles of ethical and effective learning. In this process, it continues to be tested by unstoppable technological developments. GAI, with both its positive and negative effects, has spread incredibly quickly to…
Descriptors: College Students, College Faculty, Teacher Attitudes, Student Attitudes
Yonit Nissim; Eitan Simon – Journal of Education for Teaching: International Research and Pedagogy, 2025
This preliminary quantitative research investigates preservice teachers' (PSTs) perceptions of adopting ChatGPT, an artificial intelligence (AI) tool, focusing on the early stage of the diffusion of innovation (DOI) process. The study aims to understand PSTs' innovation consciousness and how it influences their perceptions of integrating ChatGPT…
Descriptors: Models, Technology Integration, Artificial Intelligence, Constructivism (Learning)
Yaniv Biton; Ruti Segal; Karin Alush – International Journal of Education in Mathematics, Science and Technology, 2025
This study examines the contribution that generative AI (ChatGPT) can make to the TPACK (Technological Pedagogical Content Knowledge) of mathematics teacher educators (MTEs) when addressing pedagogical and mathematical events. The study involved 15 experienced MTEs who were tasked with planning training sessions for elementary school teachers. The…
Descriptors: Artificial Intelligence, Computer Software, Technological Literacy, Pedagogical Content Knowledge
Samantha R. Goldman; Adam Carreon; Sean J. Smith – Journal of Special Education Preparation, 2024
With the introduction of artificial intelligence (AI), specifically generative AI and large language models (e.g., ChatGPT, Google Gemini), into education, there is a conversation regarding what knowledge teachers still need and will need moving forward. In this article, we describe how AI can, and should, be aligned to the Technological…
Descriptors: Special Education Teachers, Teacher Education Programs, Technological Literacy, Pedagogical Content Knowledge
Jan Delcker; Joana Heil; Dirk Ifenthaler – Educational Technology Research and Development, 2025
Artificial intelligence (AI) competence in education is a set of skills that enable teachers to ethically and responsibly develop, apply, and evaluate AI for learning and teaching processes. While AI competence becomes a key competence for teachers, current research on the acceptance and use of AI in classroom practice with a specific focus on the…
Descriptors: Artificial Intelligence, Technological Literacy, Pedagogical Content Knowledge, Career and Technical Education Schools
Micheal M. van Wyk – Open Praxis, 2025
Large language models such as ChatGPT 3.5, Grammarly, and Copilot, to name a few, are referred to as generated artificial intelligence tools (GenAI). These GenAI tools have gained significant popularity in education since their launch. How can teacher education take advantage of the hype around GenAI tools? These AI-generated tools prompted an…
Descriptors: Student Teachers, Teacher Education Programs, Artificial Intelligence, Computer Software
Amali Henadirage; Nuwan Gunarathne – International Journal of Artificial Intelligence in Education, 2025
Numerous studies have explored the intricacies of artificial intelligence (AI) in higher education, predominantly focusing on developed countries. However, there is a notable gap in examining the hindrances and untapped potential of AI implementation in the higher education sector within the South Asian Global South countries. This study aims to…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Higher Education