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Showing 1 to 15 of 301 results Save | Export
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Norma Ghamrawi; Tarek Shal; Najah A. R. Ghamrawi – Education and Information Technologies, 2024
This study aimed to investigate the impact of Artificial Intelligence (AI) on teacher leadership, specifically examining whether AI is expanding or regressing teacher leadership, as perceived by teachers who were using AI in their teaching practices. Using a qualitative research design, the study employed semi-structured interviews to collect data…
Descriptors: Artificial Intelligence, Teacher Leadership, Teaching Methods, Teacher Attitudes
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Jesús J. Cambra-Fierro; María Fuentes Blasco; María-Eugenia Eugenia López-Pérez; Andreea Trifu – Education and Information Technologies, 2025
Rapid technological advancements of recent decades have fueled, among other aspects, a global boom in the utilization of artificial intelligence (AI) tools across a variety of areas. Higher education, like other domains, has embraced these innovations, with ChatGPT emerging as one of the latest additions. Faculty perception, ability, and…
Descriptors: Educational Technology, Artificial Intelligence, College Faculty, Teacher Attitudes
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Yoseph Mamo; Helen Crompton; Diane Burke; Christine Nickel – TechTrends: Linking Research and Practice to Improve Learning, 2024
ChatGPT, an AI chatbot developed by OpenAI, was released in November 2022, sparking a significant surge in global awareness and utilization of generative AI across various domains. Although recent studies have acknowledged the significance of ChatGPT in the education sector, they have yet to focus on exploring faculty attitudes toward ChatGPT. We…
Descriptors: Artificial Intelligence, Teacher Attitudes, Educational Technology, Technology Uses in Education
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Gurhan Durak; Serkan Cankaya – Turkish Online Journal of Distance Education, 2024
The main aim of this mixed methods study is to determine the evaluations made by academics on an academic text generated with ChatGPT and get their general views on ChatGPT. The convergent parallel design is utilized where the qualitative and quantitative methods are combined to produce triangulated results. Data were collected via an online form…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teacher Attitudes, College Faculty
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Jian Zhao; Elaine Chapman; Peyman G. P. Sabet – Education Research and Perspectives, 2024
The launch of ChatGPT and the rapid proliferation of generative AI (GenAI) have brought transformative changes to education, particularly in the field of assessment. This has prompted a fundamental rethinking of traditional assessment practices, presenting both opportunities and challenges in evaluating student learning. While numerous studies…
Descriptors: Literature Reviews, Artificial Intelligence, Evaluation Methods, Student Evaluation
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Maria Kasinidou; Styliani Kleanthoys; Jahna Otterbacher – Discover Education, 2025
Artificial Intelligence (AI) is now everywhere, including in the classroom. Thus, it is crucial for teachers not only to be able to use AI, but also to understand it, as they bear the responsibility of teaching the next generation with and about AI. Although there have been extensive discussions about the importance of digital skills and knowledge…
Descriptors: Foreign Countries, Technological Literacy, Teacher Attitudes, Artificial Intelligence
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Fatih Karatas; Baris Eriçok; Lokman Tanrikulu – British Educational Research Journal, 2025
A national curriculum cannot be uniformly applied in all classrooms. Educators frequently adapt the official curriculum to suit their particular circumstances. In exploring the interplay between artificial intelligence (AI) technologies and curriculum adaptation in education, this study bridges a significant gap in the literature by exploring how…
Descriptors: Artificial Intelligence, Curriculum Development, Teacher Attitudes, Technology Uses in Education
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Antonie Alm; Louise Ohashi – Technology in Language Teaching & Learning, 2024
This exploratory study investigated how 367 university language educators from 48 countries/regions responded to ChatGPT in the first 10 weeks after its release. It explored awareness, use, attitudes, and perceived impact through a survey collecting both quantitative and qualitative data. Most participants demonstrated moderate awareness, but…
Descriptors: Higher Education, Language Teachers, Artificial Intelligence, Intelligent Tutoring Systems
Reima Al-Jarf – Online Submission, 2024
This study explores Arab university faculty's views on fully AI-generated assignments and research papers submitted by students, what reasons they give for their stance and how they react in this case. Surveys with a sample of 45 Arab instructors revealed that 98% do not accept AI-generated assignments and research papers from students at all.…
Descriptors: Assignments, Research Papers (Students), Foreign Countries, College Faculty
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Memmert, Lucas; Tavanapour, Navid; Bittner, Eva – Journal of Information Systems Education, 2023
Design science research (DSR) is taught in university courses and used by students for their final theses. For successfully learning DSR, it is important to learn to apply it to real-world problems. However, students not only need to learn the new DSR paradigm (meta-level) but also need to develop an understanding of the problem domain…
Descriptors: Scientific Research, Research Design, Teacher Attitudes, Artificial Intelligence
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Jeromie Whalen; William Grube; Chenyang Xu; Torrey Trust – TechTrends: Linking Research and Practice to Improve Learning, 2025
Launched in November of 2022, the generative artificial intelligence tool ChatGPT garnered immediate societal interest and adoption as its advanced large language modeling proved capable of producing sophisticated, human-like responses to user-generated prompts. In this preliminary study, K-12 teachers in the United States were surveyed on their…
Descriptors: Elementary School Teachers, Secondary School Teachers, Teacher Attitudes, Teacher Response
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Ching Sing Chai; Siya Liang; Xingwei Wang – Education and Information Technologies, 2024
As the world is increasingly infused with artificial intelligence (AI), school teachers are beginning to acquire AI literacy and to integrate AI-related content into their teaching practices. However, research on teachers' AI competencies is still in its early stage, leaving many gaps yet to be explored. This study engaged 364 Chinese practicing…
Descriptors: Foreign Countries, Artificial Intelligence, Teacher Effectiveness, Educational Technology
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Denitza Anguelova Kurshumova – Discover Education, 2024
The current study was designed within a survey-based quantitative research methodology in order to investigate Bulgarian teachers' familiarity with, use of, and attitudes toward artificial intelligence (AI) at the nascent stage of its integration into the Bulgarian education system. The survey was completed by 2252 teachers, of whom 16.30% were…
Descriptors: Artificial Intelligence, Foreign Countries, Technology Uses in Education, Teacher Attitudes
Nicole Weber; Katie Campbell; Hannah Bauer; Corine McCarthy – Online Learning Consortium, 2024
This qualitative study interviewed twelve (n=12) instructional design and learning technology leaders from the K12, higher education, nonprofit, and corporate sectors to identify trends and challenges that were impacting their work and the work of their teams. Results included technology trends (e.g., artificial intelligence, augmented and virtual…
Descriptors: Instructional Design, Educational Trends, Barriers, Technology Uses in Education
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Deliang Wang; Gaowei Chen – IEEE Transactions on Education, 2024
Contributions: To address the interpretability issues in artificial intelligence (AI)-powered classroom discourse models, we employ explainable AI methods to unpack classroom discourse analysis from deep learning-based models and evaluate the effects of model explanations on STEM teachers. Background: Deep learning techniques have been used to…
Descriptors: Artificial Intelligence, STEM Education, Learning Processes, Technology Uses in Education
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