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Orit Oved; Dorit Alt – Education and Information Technologies, 2025
As AI increasingly permeates education, understanding teachers' perceptions and interactions with these technologies is essential. The Technological Pedagogical Content Knowledge (TPACK) framework provides a comprehensive lens to examine these interactions with educational AI tools (EAITs). This study explored the factors influencing teachers'…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Technology Uses in Education, Technology Integration
Kudzayi Savious Tarisayi – Research on Education and Media, 2024
Artificial intelligence (AI) and machine learning have become increasingly important in modern society and are poised to play an increasingly prominent role in education. This paper seeks to provide a theoretical framework for interrogating the integration of AI in education spaces. The paper argues that the eventual response of educators to…
Descriptors: Teaching Methods, Artificial Intelligence, Computer Software, Systems Approach
Yael Feldman-Maggor; Ron Blonder; Giora Alexandron – Journal of Science Education and Technology, 2025
Artificial intelligence (AI) has made remarkable strides in recent years, finding applications in various fields, including chemistry research and industry. Its integration into chemistry education has gained attention more recently, particularly with the advent of generative AI (GAI) tools. However, there is a need to understand how teachers'…
Descriptors: Chemistry, Science Instruction, Technological Literacy, Pedagogical Content Knowledge
Thinley Wangdi; Karma Sonam Rigdel – Journal of Education for Teaching: International Research and Pedagogy, 2025
This qualitative study explored the factors that influence teachers' behavioural intention (BI) to use ChatGPT for teaching. The data was collected from 214 Bhutanese teachers using open-ended questions and interviews. The thematic analysis revealed four key factors that are likely to influence teachers' BI to use ChatGPT in the context. These…
Descriptors: Teacher Attitudes, Intention, Artificial Intelligence, Computer Software
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
Gyeong-Geon Lee; Xiaoming Zhai – IEEE Transactions on Learning Technologies, 2024
While ongoing efforts have continuously emphasized the integration of ChatGPT with science teaching and learning, there are limited empirical studies exploring its actual utility in the classroom. This study aims to fill this gap by analyzing the lesson plans developed by 29 pre-service elementary teachers and assessing how they integrated ChatGPT…
Descriptors: Artificial Intelligence, Natural Language Processing, Science Education, Preservice Teachers
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
Wang Anni; He Jiao – Research in Dance Education, 2025
As digital teaching aid, virtual simulation experiments integrate modern information technologies such as virtual reality, augmented reality, 3D modeling, digital interaction, network communication, and databases, breaking free from the limitations of time, space, personnel, and resources. By simulating experimental scenes and objects, students…
Descriptors: Computer Simulation, Dance Education, Teaching Methods, Safety
Editorial Projects in Education, 2025
This Spotlight explores the potential of AI to enhance teaching and learning, while also addressing considerations for responsible implementation. From using AI to deliver instruction with human guidance and exploring its impact on standardized testing to providing targeted professional development on AI, these articles offer valuable…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Xinyue Ren; Min Lun Wu – TechTrends: Linking Research and Practice to Improve Learning, 2025
The rapid development of artificial intelligence (AI) technologies has demonstrated their affordances and limitations in revolutionizing pedagogical strategies in higher education. Given the lack of guidelines, policies, and resources to assist instructors in efficiently and ethically integrating AI into teaching and learning practices, this…
Descriptors: Teacher Competencies, Artificial Intelligence, Technology Uses in Education, Technology Integration
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
Amanda Lilian McCloskey – ProQuest LLC, 2024
The problem that led to this research is a lack of integration of digital tools in writing instruction at elementary school may result in students who are not digitally proficient writers being at a disadvantage (Culatta, 2021). Research surrounding teachers' attitudes towards the role of technology in the classroom usually refers to the frequency…
Descriptors: Writing Instruction, Teaching Methods, Technological Literacy, Pedagogical Content Knowledge
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
Mohammed Alwaqdani – Education and Information Technologies, 2025
This paper investigated teachers' perceptions towards the integration of Artificial Intelligence educational tools (AIED) into their educational practices. Indeed, AI rapidly advances across various fields, including education, and it is essential to understand teachers' perceptions to effectively harness its potential. The study used a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Teaching Methods