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Timothy Daly – Journal of Academic Ethics, 2026
An academic must both read and write papers. Generative artificial intelligence (AI) can now do both. I draw on Aristotle's Nicomachean Ethics to argue that reliance on AI outsources activities and reduces virtues necessary to achieve the purpose of academia--flourishing through the cultivation of reason. I highlight empirical research suggesting…
Descriptors: Ethics, Artificial Intelligence, Computer Use, College Faculty
Andrea-Roxana Bellot; Mar Gutiérrez-Colón – Journal of Adolescent & Adult Literacy, 2026
This study examines how university literature students evaluate alternative endings for George Orwell's "Animal Farm" that were either created by their peers or generated by ChatGPT. Using a rubric-based approach, students assessed these endings on elements such as conceptual relevance, literary devices, and overall narrative impact. By…
Descriptors: College Students, English Literature, Novels, Artificial Intelligence
Aigerim Kikbanova; Nadezhda Zhiyenbayeva – Open Education Studies, 2026
This article aims to examine the pedagogical system for hybrid training of future special educators. It explores the specifics of hybrid learning, including the use of digital technologies. The research employs survey and semi-structured interview methods, followed by statistical analysis, to gather and process quantitative data on the perceptions…
Descriptors: Preservice Teachers, Special Education Teachers, Blended Learning, Computer Uses in Education
Theresa Ruwe; Livia Kuklick – British Journal of Educational Technology, 2026
With the advent of large language models (LLMs) as feedback providers in education, there is a pressing need to investigate the potential effectiveness of the feedback provided by such artificial intelligence (AI) systems. The purpose of this 2 × 2 mixed-design study was thus to investigate biases that students may have in their perceptions of…
Descriptors: Feedback (Response), College Students, Artificial Intelligence, Social Bias
Samantha R. Goldman; Adam Carreon; Sean J. Smith – Intervention in School and Clinic, 2026
This article explores the importance of teaching students with learning disabilities to be prompt engineers. With the development, release, and global implementation of large language models (e.g., ChatGPT, Gemini), artificial intelligence (AI) tools are becoming more dynamic and capable of providing feedback and support to students. This article…
Descriptors: Students with Disabilities, Learning Disabilities, Artificial Intelligence, Computer Uses in Education
Ziyan Lin; Yun Dai – British Journal of Educational Technology, 2026
As artificial intelligence (AI) becomes increasingly embedded in the daily lives of young learners, there is growing interest in exploring how they conceptualize AI prior to formal instruction. This qualitative study investigates the pre-instructional conceptions of key AI concepts held by upper elementary students (n = 75), focusing on five…
Descriptors: Elementary School Students, Student Attitudes, Artificial Intelligence, Ethics

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