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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
Ling Zhang; Zijun Yao; Arya Hadizadeh Moghaddam – Journal of Teacher Education, 2025
Educator preparation, personalized learning (PL) implementation, and applications of Generative AI converge as three interrelated systems that, when carefully designed, can help achieve the long-sought goal of providing inclusive education for all learners. However, realizing this potential comes with challenges resulting from theoretical…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Faculty Development
L. Perla; L. S. Agrati; A. Beri – Professional Development in Education, 2025
The study presented investigated the relations between personal factors and teachers' attitudes towards AI in order to deduce implications for professional learning and test a "post-teaching" theoretical hypothesis. A survey was conducted on the opinions of 177 teachers involved in the secondary school qualification course. The teachers…
Descriptors: Faculty Development, Teacher Attitudes, Artificial Intelligence, Risk
Melike Yigit Koyunkaya; Ayse Tekin Dede – Education and Information Technologies, 2024
While existing studies acknowledge the importance of using technology in the mathematical modelling process, questions about how to integrate digital tools into mathematical modelling are not still answered. This study aims to examine pre-service mathematics teachers' designing and solving mathematical modelling problems by using different digital…
Descriptors: Mathematics Instruction, Problem Solving, Video Technology, Preservice Teachers
Frederik Dilling; Jacqueline Köster; Amelie Vogler – International Journal of Research in Undergraduate Mathematics Education, 2024
In the digital age, the range of digital technologies used in mathematics education grows. Since beliefs are affective-cognitive elements that significantly determine teachers' behavior in the classroom, they are an interesting field of research in mathematics education. A review of previous research has identified different groups of beliefs…
Descriptors: Mathematics Instruction, Student Attitudes, Teaching Methods, Technology Integration
Chih-Hung Wu; Ting-Sheng Weng; Chih-Hsing Liu – Educational Technology & Society, 2025
With the growing attention directed towards ChatGPT and its applications in education, this study explored its impact on various variables pertaining to student learning. Specifically, an integrated theoretical framework was used to investigate the factors that influence student problem-solving and critical thinking abilities when using ChatGPT…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Learning Motivation
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
Maria Tsiani; Ioannis Lefkos; Nikolaos Fachantidis – Journal of Pedagogical Research, 2025
As AI continues to transform educational practices, understanding its potential benefits, limitations, and ethical implications is critical. This study explores future educators' perceptions of generative ?? in higher education. Through a mixed-methods approach, this research gathered insights from undergraduate and master's level students on…
Descriptors: Graduate Students, Undergraduate Students, Student Attitudes, Technology Integration
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
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)
Volkan Duran – Digital Education Review, 2024
The burgeoning role of Artificial Intelligence (AI) in education prompts crucial discussions regarding its implications for teaching and learning. This qualitative study probes the argumentative perspectives of 118 teacher candidates from Igdir University on the integration of AI into educational practices. Employing Toulmin's (1958) model, we…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Teacher Education Programs
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
Esra Kabatas Memis; Sümeyra Zeynep Et; Elif Sönmez – Science Education International, 2023
Improvements in science and technology have led to changes in education as well as in many other fields. These changes have made it necessary for today's individuals to have a set of skills in different fields. One of these fields is technology-related skills. Learning environments that require the use of technology undoubtedly play a key role in…
Descriptors: Science Instruction, Teaching Methods, Technology Integration, Preservice Teachers
Danah Henriksen; Edwin Creely; Natalie Gruber; Sean Leahy – Journal of Teacher Education, 2025
This article provides a critical thematic literature review that explores the intersection of generative artificial intelligence (GenAI) and social-emotional learning (SEL), analyzing its implications for teacher education. GenAI offers promising applications for enhancing SEL competencies such as self-awareness, empathy, and social skills through…
Descriptors: Social Emotional Learning, Artificial Intelligence, Computer Software, Risk
Büsra Kartal; Cengiz Çinar – International Journal of Mathematical Education in Science and Technology, 2024
Technological Pedagogical Content Knowledge (TPACK) is defined as the teacher knowledge needed for effective technology integration. This study aimed to investigate preservice elementary mathematics teachers' TPACK development. TPACK survey was administered to 33 preservice teachers (PSTs), and six of them were selected via maximum variation…
Descriptors: Preservice Teachers, Teacher Education Programs, Mathematics Teachers, Mathematics Instruction