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Helen Crompton; Diane Burke – TechTrends: Linking Research and Practice to Improve Learning, 2024
ChatGPT was released to the public in November 30, 2022. This study examines how ChatGPT can be used by educators and students to promote learning and what are the challenges and limitations. This study is unique in providing one of the first systematic reviews using peer review studies to provide an early examination of the field. Using PRISMA…
Descriptors: Artificial Intelligence, Barriers, Technology Uses in Education, Natural Language Processing
Anya S. Evmenova; Kelley Regan; Reagan Mergen; Roba Hrisseh – TechTrends: Linking Research and Practice to Improve Learning, 2024
Generative AI has the potential to support teachers with writing instruction and feedback. The purpose of this study was to explore and compare feedback and data-based instructional suggestions from teachers and those generated by different AI tools. Essays from students with and without disabilities who struggled with writing and needed a…
Descriptors: Writing Instruction, Feedback (Response), Writing Difficulties, Artificial Intelligence
Arzu Atasoy; Saieed Moslemi Nezhad Arani – Education and Information Technologies, 2025
There is growing interest in the potential of Artificial Intelligence (AI) to assist in various educational tasks, including writing assessment. However, the comparative efficacy of human and AI-powered systems in this domain remains a subject of ongoing exploration. This study aimed to compare the accuracy of human raters (teachers and…
Descriptors: Writing (Composition), Writing Evaluation, Student Evaluation, Artificial Intelligence
Michele Fuller; Neil Barnes – New Directions for Higher Education, 2024
This study explored the perceived impact of integrating Generative Artificial Intelligence Systems (GenAI) such as ChatGPT into a postgraduate Master of Education program, drawing on the dual perspectives of participants who were students and educators teaching students at different levels of education in England. Using the Situated…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Student Attitudes
Peer reviewedFrick, Theodore W. – Journal of Educational Computing Research, 1997
Maccia's epistemology of intelligent natural systems implies that computer systems must develop qualitative intelligence before knowledge representation and natural language understanding can be achieved. Emotion and sensation--capabilities which computers do not currently possess are vital to the growth of the mind (Stanley I. Greenspan).…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer System Design, Computer Uses in Education

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