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Nancy Fichtman Dana; Diane Yendol-Hoppey; Logan Rutten – Corwin, 2025
Grounded in real-world examples and more than 30 years of research in professional development, the fifth edition of "The Reflective Educator's Guide to Practitioner Inquiry" addresses how inquiry fosters curiosity, reflection, and practical action to enhance effective classroom learning. This latest edition invites educators to view…
Descriptors: Inquiry, Teaching Methods, Artificial Intelligence, Technology Uses in Education
Xiaoqing Xu; Lifang Qiao; Nuo Cheng; Hongxia Liu; Wei Zhao – British Journal of Educational Technology, 2025
The rapid development of generative artificial intelligence (GenAI) has brought opportunities and new challenges to higher education. Students need a high level of self-regulated learning to adapt to this change. However, it is difficult for students to persist in self-regulation without guidance. Metacognitive support has a significant advantage…
Descriptors: Independent Study, Learning Experience, Artificial Intelligence, Technology Uses in Education
Deniz Ünal; Zeynep Çavus Erdem; Zühal Gün Sahin – Education and Information Technologies, 2025
ChatGPT, an artificial intelligence powered chat tool that accomplishes essential work with its language understanding and text generation capabilities, has started to benefit education and many other areas with new updates. This study predicted the ability to create a number sense achievement test with ChatGPT version 3.5. It showed that the test…
Descriptors: Artificial Intelligence, Technology Uses in Education, Achievement Tests, Test Construction
Yinyao Hu; Chee-Seng Tan; Shimeng Wang; Hanyun Zhang; Jiahui Qian; Yihan Wang – Asia-Pacific Education Researcher, 2025
The rapid growth of artificial intelligence (AI) technologies, such as ChatGPT, presents both opportunities and challenges. While some studies suggest that AI use can be beneficial, others have identified detrimental effects on performance. Drawing on literature that explores the relationship between personality traits and compulsive technology…
Descriptors: Artificial Intelligence, Technology Uses in Education, Personality Traits, Foreign Countries
Andrea Fenton – Educational Researcher, 2025
The arrival of ChatGPT and other artificial intelligence (AI) has caused considerable concern for educators worldwide, many of whom are still recovering from the impact of the COVID-19 pandemic. Although the debate continues around the use of AI in education, one approach to ensure students are achieving their learning objectives, the oral exam or…
Descriptors: Oral Language, Verbal Tests, Communication Skills, Testing
Ziyan Lin; Yun Dai; Oi-Lam Ng – Journal of Educational Computing Research, 2025
Constructionist pedagogies, emphasizing the hands-on creation of physical or virtual artifacts, have gained prominence in K-12 AI literacy education. Despite its growing importance, current empirical efforts remain fragmented across diverse settings, hindering a cohesive understanding of effective practices and theoretical foundations. This…
Descriptors: Constructivism (Learning), Elementary Secondary Education, Artificial Intelligence, Technological Literacy
Neil C. C. Brown; Pierre Weill-Tessier; Juho Leinonen; Paul Denny; Michael Kölling – ACM Transactions on Computing Education, 2025
Motivation: Students learning to program often reach states where they are stuck and can make no forward progress--but this may be outside the classroom where no instructor is available to help. In this situation, an automatically generated next-step hint can help them make forward progress and support their learning. It is important to know what…
Descriptors: Artificial Intelligence, Programming, Novices, Technology Uses in Education
Hacer Güner; Erkan Er – Education and Information Technologies, 2025
As being more prevalent in educational settings, understanding the impact of artificial intelligence tools on student behaviors and interactions has become crucial. In this regard, this study investigates the dynamic interactions between students and ChatGPT in programming learning, focusing on how different instructional interventions influence…
Descriptors: Artificial Intelligence, Technology Uses in Education, Programming, Training
H. Murch; M. Worley; F. Volk – Journal of Academic Ethics, 2025
Academic misconduct is a prevalent issue in higher education with detrimental effects on the individual students, rigor of the program, and strength of the workplace. Recent advances in artificial intelligence (AI) have reinvigorated concern over academic integrity and the potential use and misuse of AI. However, there is a lack of research on…
Descriptors: Incidence, Artificial Intelligence, Technology Uses in Education, Plagiarism
Graham Kendall – Journal of Academic Ethics, 2025
Most, if not all, journals require the use of Large Language Models (LLMs), such as ChatGPT, to be acknowledged. This article argues that current guidelines do not go far enough as the use of an LLM may be acknowledged but the reviewers, and future readers, do not know which parts of the article were generated with AI (Artificial Intelligence)…
Descriptors: Artificial Intelligence, Scientific Research, Publications, Authors
Diana Franklin; Paul Denny; David A. Gonzalez-Maldonado; Minh Tran – Cambridge University Press & Assessment, 2025
Generative AI is a disruptive technology that has the potential to transform many aspects of how computer science is taught. Like previous innovations such as high-level programming languages and block-based programming languages, generative AI lowers the technical expertise necessary to create working programs, bringing the power of computation…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Science Education, Expertise
Kenneth Driggers; Deron Boyles – Educational Theory, 2025
Although Charles Sanders Peirce died over a century before ChatGPT became publicly available, we argue that he remains informative in discussions of AI because of his articulation of the Pragmatic Maxim. We argue that Peirce's pragmatism offers two avenues from which the appropriateness or inappropriateness of AI in education can be evaluated: (1)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Philosophy, Educational Theories
Mohammad Arif Ul Alam; Geeta Verma; Eumie Jhong; Justin Barber; Ashis Kumer Biswas – International Educational Data Mining Society, 2025
The growing demand for microcredentials in education and workforce development necessitates scalable, accurate, and fair assessment systems for both soft and hard skills based on students' lived experience narratives. Existing approaches struggle with the complexities of hierarchical credentialing and the mitigation of algorithmic bias related to…
Descriptors: Microcredentials, Sex, Ethnicity, Artificial Intelligence
Charlie Ingram; Alison Halford; Sokipriala Jonah – Curriculum Journal, 2025
With the UK government's target of Net Zero by 2050, alongside the rising cost of energy in the UK, it is imperative that public opinion aligns with and promotes affordable, greener energy systems. Within this dialogue, young people's voices and lived experience are needed to deepen the impact of energy policy intervention strategies. This article…
Descriptors: Energy Education, Foreign Countries, Conservation (Environment), Secondary School Students
Mohammad Ilbeigi; Pouya Darestani Farahani – Journal of Civil Engineering Education, 2025
The Fourth Industrial Revolution in the construction industry is reshaping the work landscape for construction engineers, compelling them to acquire additional qualifications. While the construction engineering research community has increasingly focused on better comprehending the emerging demands for education and training, further…
Descriptors: Construction Industry, Engineering Education, Automation, Educational Principles

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