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Ellana Black; Kristen Betts – Impacting Education: Journal on Transforming Professional Practice, 2025
This convergent mixed methods research study investigated how a small, non-representative sample of Educational Doctorate (EdD) faculty perceive and use generative AI and how they have leveraged the technology to support EdD students. A cross-sectional survey was used to gather data from 27 EdD faculty members to assess their generative AI…
Descriptors: Doctoral Programs, Education Majors, College Faculty, Artificial Intelligence
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Meina Zhu; Chaoran Wang – Language Learning & Technology, 2025
Given the rapid advancements in artificial intelligence (AI) technologies for language education, this article provides a review of selected empirical studies on artificial intelligence in language education, spanning from 2013 to October 2023. Data for this review were gathered from the Web of Science, Eric ProQuest, Scopus, and five top…
Descriptors: Futures (of Society), Educational Trends, Artificial Intelligence, Technology Uses in Education
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Ching-Yi Chang; Hui-Chen Lin; Chengjiu Yin; Kai-Hsiang Yang – Educational Technology & Society, 2025
The emergence of Generative AI such as ChatGPT--a cutting-edge pre-trained language model--has garnered unprecedented attention from educational researchers worldwide. Its remarkable performance in knowledge generation and natural language dialogue has sparked global scholarly interest in its implications for education. Research on higher-order…
Descriptors: Artificial Intelligence, Thinking Skills, Skill Development, Reflection
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Hanadi Aldreabi; Nisreen Kareem Salama Dahdoul; Mohammad Alhur; Nidal Alzboun; Najeh Rajeh Alsalhi – Electronic Journal of e-Learning, 2025
The examination of the impact of Generative AI (GenAI) on higher education, especially from the viewpoint of students, is gaining significance. Although prior research has underscored GenAI's potential advantages in higher education, there exists a discernible research gap concerning the determinants that affect its adoption. In the present study,…
Descriptors: Student Behavior, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
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Yubin Xu; Lin Liu; Jianwen Xiong; Guangtian Zhu – Journal of Baltic Science Education, 2025
As the development and application of large language models (LLMs) in physics education progress, the well-known AI-based chatbot ChatGPT4 has presented numerous opportunities for educational assessment. Investigating the potential of AI tools in practical educational assessment carries profound significance. This study explored the comparative…
Descriptors: Physics, Artificial Intelligence, Computer Software, Accuracy
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Gregory J. Crowther; Merrill D. Funk; Kelly M. Hennessey; Marcus M. Lawrence – Advances in Physiology Education, 2025
Learning objectives (LOs) are a pillar of course design and execution and thus a focus of curricular reforms. This study explored the extent to which the creation and usage of LOs might be facilitated by three leading chatbots: ChatGPT-4o, Claude 3.5 Sonnet, and Google Gemini Advanced. We posed three main questions, as follows: "question…
Descriptors: Artificial Intelligence, Learning Objectives, Technology Uses in Education, Curriculum Design
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Julia Jochim; Vera Kristina Lenz-Kesekamp – Information and Learning Sciences, 2025
Purpose: Large language models such as ChatGPT are a challenge to academic principles, calling into question well-established practices, teaching and exam formats. This study aims to explore the adaptation process regarding text-generative artificial intelligence (AI) of students and teachers in higher education and to identify needs for change.…
Descriptors: Artificial Intelligence, Student Needs, Higher Education, Technology Uses in Education
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Jung Won Hur – Information and Learning Sciences, 2025
Purpose: This study aims to investigate how preservice teachers' stages of concern, beliefs, confidence and interest in AI literacy education evolve as they deepen their understanding of AI concepts and AI literacy education. Design/methodology/approach: AI literacy lessons were integrated into a technology integration course for preservice…
Descriptors: Artificial Intelligence, Digital Literacy, Preservice Teachers, Technology Integration
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Adeneye Olarewaju A. Awofala; Mike Boni Bazza; Omolabake T. Ojo; Adenike J. Oladipo; Oladiran S. Olabiyi; Abayomi A. Arigbabu – Digital Education Review, 2025
Recent progress in artificial intelligence (AI) has aroused interest in the growth and development of educational AI tools (EAITs). Teachers' adoption of EAITs in classrooms has helped in shaping instructional decisions taken by them in an attempt to promote intelligently and actively students' meaningful learning of contents areas. Nevertheless,…
Descriptors: Foreign Countries, Science Teachers, Technology Education, Mathematics Teachers
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Potsirin Limpinan; Ampawan Yindeemak; Rungfa Pasmala; Manop Nammanee; Thada Jantakoon – Higher Education Studies, 2025
This study presents a comprehensive bibliometric analysis of Artificial Intelligence (AI) research for Multimedia in Education from 2020 to 2024. Using the Dimensions AI database, VOSviewer software and Scimago Graphica, we examined 45 publications to identify key trends, influential contributors, and emerging directions in this rapidly evolving…
Descriptors: Bibliometrics, Artificial Intelligence, Authors, Network Analysis
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Peter J. Kalenda; Logan Rath; Marium Abugasea Heidt; Allison Wright – Journal of Educational Technology Systems, 2025
This study explores preservice education student perceptions on ChatGPT's ability to write lesson plans through the use of a guided analysis process with 59 undergraduate and graduate students enrolled in STEM, TESOL, and Social studies methods courses for grades PreK-12. A pre- post-survey and a reflection on the strengths and weaknesses of…
Descriptors: Preservice Teachers, Teacher Attitudes, Technology Uses in Education, Synchronous Communication
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Ying Wang – SAGE Open, 2025
Optimizing communication learning experiences for students is a promising development in English language education, enabled by ChatGPT-4, an artificial intelligence software that excels in customizing lessons to suit specific requirements, interests, and preferred modes of communication for each student. Given its critical role in enhancing…
Descriptors: Teaching Methods, Instructional Effectiveness, Artificial Intelligence, Technology Uses in Education
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Jaurès S. H. Kameni; Bernabé Batchakui; Roger Nkambou – International Journal of Artificial Intelligence in Education, 2025
The majority of Sub-Saharan African countries are facing a very negative teacher-learner ratio: one teacher for over 120 learners. In order to support the learner training, we propose optimizing search engines for learning contexts, to enable learners to take optimal advantage of the vast reservoir of Open Educational Resources (OER) available on…
Descriptors: Foreign Countries, Teacher Shortage, Open Educational Resources, Computer Assisted Instruction
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Hao Yu; Yunyun Guo; Hailiang Yang; Weiyu Zhang; Yan Dong – European Journal of Education, 2025
In the era of accelerating globalization, the necessity for multilingual education is increasingly prominent. This study investigates the effectiveness of the AI-based chatbot ChatGPT in multilingual teaching applications. This study employs a quasi-experimental research methodology to examine the experiences of 100 international students at a…
Descriptors: Artificial Intelligence, Comparative Analysis, Multilingualism, Computer Software
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Sriram Sampath – Higher Education for the Future, 2025
Artificial intelligence (AI) has been put forth as a technological innovation which can change the way in which healthcare will be delivered in the near future. AI developers plan to deploy tools that will aid diagnosis, improve therapy, minimize errors, increase safety, and optimize systems and bring down costs. In addition, a paradigmatic shift…
Descriptors: Artificial Intelligence, Health Services, Technological Advancement, Innovation
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