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Gideon Dishon – Educational Theory, 2025
The emergence of ChatGPT, and other generative AI (GenAI) tools, has elicited dystopian and utopian proclamations concerning their potential impact on education. This paper suggests that responses to GenAI are based on often-implicit perceptions of naturalness and artificiality. To examine the depiction and function of these concepts, Gideon…
Descriptors: Artificial Intelligence, Learning Processes, Educational Benefits, Barriers
Michael A. Smith – Information Systems Education Journal, 2025
Maloof & Associates (M&A), a well-regarded small auditing and accounting firm in Atlanta, kept a close eye on the media buzz surrounding ChatGPT. The partners knew that they must make decisions soon regarding the new technology, but they did not realize how soon until they lost a long-standing and substantial client to a rival that had…
Descriptors: Accounting, Barriers, Artificial Intelligence, Natural Language Processing
Bryan P. Sanders – Impacting Education: Journal on Transforming Professional Practice, 2025
This essay explores the transformative concept of co-active emergence in education, where human and machine intelligence synergize to enhance learning experiences. It discusses the integration of AI in doctoral research, emphasizing collaborative efforts between humans and AI to push academic boundaries. It also addresses the challenges and…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Cooperation
Jessica M. Lammert; Angela C. Roberts; Ken McRae; Laura J. Batterink; Blake E. Butler – Journal of Speech, Language, and Hearing Research, 2025
Purpose: Recent advances in artificial intelligence provide opportunities to capture and represent complex features of human language in a more automated manner, offering potential means of improving the efficiency of language assessment. This review article presents computerized approaches for the analysis of narrative language and identification…
Descriptors: Identification, Natural Language Processing, Artificial Intelligence, Barriers
Yi Lyu; Azhar Bin Md Adnan; Lijuan Zhang – Education and Information Technologies, 2025
This study presents a comprehensive examination of the applications, challenges, and strategies associated with the integration of natural language processing (NLP) technologies in university teaching. By employing qualitative analyses, including interviews, classroom observations, and document review, the study explores the diverse applications…
Descriptors: Foreign Countries, Natural Language Processing, Technology Integration, Teaching Methods
Maria Eleftheriou; Muhammad Ahmer; Daniel Fredrick – Contemporary Educational Technology, 2025
Like many student writing centers, the American University of Sharjah Writing Center is seeing a rise in student reliance upon generative AI (GenAI) tools, which are artificial intelligence systems capable of generating human-like text. Peer tutors frequently seek guidance on how to approach student papers involving GenAI tools such as ChatGPT,…
Descriptors: Laboratories, Writing (Composition), Artificial Intelligence, Man Machine Systems
Surattana Adipat – Educational Process: International Journal, 2025
Background/purpose: The study examined the potential benefits and concerns of implementing ChatGPT, an advanced tool of artificial intelligence technology, in the realm of teaching and learning. Materials/methods: A systematic review was conducted, detailing the processes of inclusion and exclusion criteria, selection, data extraction, and…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Educational Practices
Asmaa Thaer Aldulaijan; Shatha Mohammed Almalk – Journal of Information Technology Education: Research, 2025
Aim/Purpose: This study aimed to investigate the impact of generative artificial intelligence (GenAI) tools on postgraduate students' learning experiences. It examined how these students utilize GenAI tools, identified the perceived benefits of their use, and uncovered the challenges students face in their learning experiences with these tools.…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Graduate Students
Hao Zhou; Wenge Rong; Jianfei Zhang; Qing Sun; Yuanxin Ouyang; Zhang Xiong – IEEE Transactions on Learning Technologies, 2025
Knowledge tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant attention since it facilitates personalized experiences in educational situations. Simultaneously, the autoregressive (AR) modeling on the sequence of former exercises…
Descriptors: Learning Experience, Academic Achievement, Data, Artificial Intelligence
Zi Yang; Junjie Gavin Wu; Haoran Xie – Asia Pacific Journal of Education, 2025
The emergence of generative artificial intelligence (GAI) in the past two years is exerting profound effects throughout society. However, while this new technology undoubtedly promises substantial benefits, its disruptive nature also means that it poses a variety of challenges. The field of education is no exception. This position paper intends to…
Descriptors: Artificial Intelligence, Ethics, Technology Uses in Education, Natural Language Processing
Corrie Wilder; Shannon Calderone – Impacting Education: Journal on Transforming Professional Practice, 2025
This study explores the integration of generative artificial intelligence (AI) into qualitative research within a higher education context. Through a collaborative self-study, a doctoral candidate and their dissertation supervisor examined the application of Google's Gemini 1.5 to analyze interview data from a dissertation of practice (DiP)…
Descriptors: Technology Integration, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Shivakami Rajan; L. R. Niranjan – International Journal of Educational Management, 2025
Purpose: This research examines the complex relationship between usage of Chat Generative Pre-Trained Transformer (ChatGPT) amongst student and their creativity, learning and assessment using empirical data collected from postgraduate students. In addition, the study explores the student's intrinsic motivation for usage to understand student…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Creativity
Mehedi Hasan Anik; Shahriar Nafees Chowdhury Raaz; Nushat Khan – International Journal of Artificial Intelligence in Education, 2025
Artificial intelligence (AI) technologies, especially language models like ChatGPT, are revolutionizing academic writing by generating human-like text and supporting thesis development. While some research explores ChatGPT in academic writing, none compares the experiences of young researchers using AI for the first time versus non-users in their…
Descriptors: Artificial Intelligence, Theses, Research, Science Education
Gyeonggeon Lee; Xiaoming Zhai – TechTrends: Linking Research and Practice to Improve Learning, 2025
Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
Sam Sedaghat – Journal of Academic Ethics, 2025
Chatbots such as ChatGPT have the potential to change researchers' lives in many ways. Despite all the advantages of chatbots, many challenges to using chatbots in medical research remain. Wrong and incorrect content presented by chatbots is a major possible disadvantage. The authors' credibility could be tarnished if wrong content is presented in…
Descriptors: Plagiarism, Artificial Intelligence, Medical Research, Error Patterns
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