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Stefanie Panke – Journal of Teacher Education, 2025
The autoethnographic study investigates the transformative impact of generative AI on educational research, instructional design, and teaching practices over a 5-month period (May-October 2024). By integrating AI tools into every phase of the research process, the study examines AI's role as both a research partner and a subject of inquiry. Field…
Descriptors: Ethnography, Artificial Intelligence, Computer Software, Instructional Design
Yin Kiong Hoh – American Biology Teacher, 2025
Artificial intelligence (AI) encompasses the science and engineering behind creating intelligent machines capable of tasks that typically rely on human intelligence, such as learning, reasoning, decision-making, and problem-solving. By analyzing vast amounts of data, identifying patterns, and making predictions that were once impossible, AI has…
Descriptors: Artificial Intelligence, Biological Sciences, Computer Software, Algorithms
Muhammad Imran; Norah Almusharraf – Smart Learning Environments, 2024
This emerging technology report discusses Google Gemini as a multimodal generative AI tool and presents its revolutionary potential for future educational technology. It introduces Gemini and its features, including versatility in processing data from text, image, audio, and video inputs and generating diverse content types. This study discusses…
Descriptors: Artificial Intelligence, Computer Software, Educational Technology, Technology Uses in Education
Mohammad Ghulam Ali – Online Submission, 2025
As the debate and discussions are rapidly growing about the implementation of Artificial Intelligence (AI) in higher education institutions (HEIs) as well as in other sectors, we have gone through a systematic review and research of the topics and progress of AI at the present time. We have surveyed much literature and prepared a research review…
Descriptors: Artificial Intelligence, Educational Benefits, Higher Education, Computer Software
William Billingsley – Science & Education, 2025
This article explores the epistemological trade-offs that practical and technology design fields make by exploring past philosophical discussions of design, practitioner research, and pragmatism. It argues that as technologists apply Artificial Intelligence (AI) and machine learning (ML) to more domains, the technology brings this same set of…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, 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
Leen Adel Gammoh – Education and Information Technologies, 2025
This qualitative study examines the risks educators in Jordan face with the integration of ChatGPT, an emerging AI technology, into academic settings. While considerable attention has been given to risks affecting university students, there remains a gap in understanding the specific challenges encountered by educators themselves. Through…
Descriptors: Foreign Countries, Artificial Intelligence, Educational Technology, Technology Integration
Kimberlee K. C. Everson – Myers Education Press, 2025
In the changing realm of academic research, Generative Artificial Intelligence (AI) is a significant force, altering the way knowledge is pursued and understood. "Enhancing Doctoral Dissertations Ethically with AI: A Comprehensive Guide" serves as an indispensable guide for doctoral students and educators on the frontline of this shift,…
Descriptors: Doctoral Dissertations, Ethics, Artificial Intelligence, Computer Software
Weikang Lu; Chenghua Lin – Asia-Pacific Education Researcher, 2025
Based on the UTAUT model, many studies have analyzed the factors influencing the use of artificial intelligence by teachers and students, but the conclusions are not uniform. This study chose high quality studies and encoded them to do meta analysis. After heterogeneity testing, sensitivity analysis and publication bias test, it has been found…
Descriptors: Meta Analysis, Technology Integration, Computer Software, Artificial Intelligence
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
Xue Zhou; Lilian Schofield – Journal of Learning Development in Higher Education, 2024
This paper proposes a conceptual framework for integrating Artificial Intelligence (AI) into the curriculum. It builds on previous conceptual papers, which provided initial suggestions on integrating AI into teaching. The approach to developing the conceptual framework includes drawing on existing frameworks, AI literature, and case studies from…
Descriptors: Artificial Intelligence, Technological Literacy, Technology Integration, Curriculum Development
Isabel Pedersen – OTESSA Journal, 2024
The rapid integration of generative artificial intelligence (AI) into postsecondary education and many other sectors resulted in a global reckoning with this new technology. This paper contributes to the study of the multifaceted influence of generative AI, with a particular focus on OpenAI's ChatGPT within academic settings during the first six…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Educational Change
Sarah Prestridge; Kym Fry; Eun-Ji Amy Kim – Technology, Pedagogy and Education, 2025
The broad approach to using Generative AI in K-12 schooling focuses on identifying risks and productivity gains rather than the more complex issues of transformational change. As a response, this study examined how school leaders considered Gen AI transformation within their disciplines. Ten subject leaders were interviewed about their pedagogical…
Descriptors: Teacher Attitudes, Secondary School Teachers, Artificial Intelligence, Computer Software
Mike Perkins; Jasper Roe; Binh H. Vu; Darius Postma; Don Hickerson; James McGaughran; Huy Q. Khuat – International Journal of Educational Technology in Higher Education, 2024
This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content modified to evade detection (n = 805). We compare these detectors to assess their reliability in identifying AI-generated text in educational settings, where they are increasingly used to address academic integrity…
Descriptors: Artificial Intelligence, Inclusion, Computer Software, Word Processing
Xiangge Yang; Dongfang Jiang; Meng Liu – International Journal of Web-Based Learning and Teaching Technologies, 2024
Landscape design is a measure of the development of urbanization process and the improvement of people's happiness index. The process of urbanization will involve landscape design. The study and teaching of landscape design is the core teaching method of landscape design research. However, with the diversified development of landscape design…
Descriptors: Artificial Intelligence, Horticulture, Design, Technology Uses in Education