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Brian Clements; Tamirat T. Abegaz; Bryson Payne – Information Systems Education Journal, 2025
The rise of artificial intelligence (AI) has made life and work easier; however, AI has also made it almost impossible to determine whether the information we consume is legitimate, AI-generated, or AI-manipulated. This paper examines how the use of artificial intelligence, specifically GPT-4, Gemini Advanced, and Claude Opus, can aid a user in…
Descriptors: Artificial Intelligence, Perception, Man Machine Systems, Natural Language Processing
Dariusz Witko; Yair Levy; Catherine Neubauer; Gregory Simco; Laurie P. Dringus; Melissa Carlton – Journal of Cybersecurity Education, Research and Practice, 2025
The increasing volume of cyber threats, combined with a critical shortage of skilled professionals and rising burnout among practitioners, highlights the urgent need for innovative solutions in cybersecurity operations. Generative Artificial Intelligence (GenAI) offers promising potential to augment human analysts in cybersecurity, but its…
Descriptors: Computer Security, Competence, Artificial Intelligence, Expertise
Lord J. Hyeamang; Tejas C. Sekhar; Emily Rush; Amy C. Beresheim; Colleen M. Cheverko; William S. Brooks; Abbey C. M. Breckling; M. Nazmul Karim; Christopher Ferrigno; Adam B. Wilson – Anatomical Sciences Education, 2025
Evidence suggests custom chatbots are superior to commercial generative artificial intelligence (GenAI) systems for text-based anatomy content inquiries. This study evaluates ChatGPT-4o's and Claude 3.5 Sonnet's capabilities to interpret unlabeled anatomical images. Secondarily, ChatGPT o1-preview was evaluated as an AI rater to grade AI-generated…
Descriptors: Artificial Intelligence, Anatomy, Identification, Man Machine Systems
Alexander M. Sidorkin – Educational Theory, 2025
The debate over halting artificial intelligence (AI) development stems from fears of malicious exploitation and potential emergence of destructive autonomous AI. While acknowledging the former concern, this paper argues the latter is exaggerated. True AI autonomy requires education inherently tied to ethics, making fully autonomous AI potentially…
Descriptors: Artificial Intelligence, Criticism, Ethics, Safety
Carmen Vallis – Educational Philosophy and Theory, 2025
This article examines sociotechnical imaginaries of generative artificial intelligence (GenAI) through the cultural lens of the film "Barbie." The hyperreal setting of Barbieland serves as a prescient metaphor for education in an increasingly synthetic world where the real and artificial converge. By analysing representations of…
Descriptors: Films, Popular Culture, Artificial Intelligence, Figurative Language
Yongyan Li; Hui Chen; Xiaoling Liu; Simon Wang – Journal of Academic Ethics, 2025
This paper presents a thematic review of the anti-plagiarism instruction of content specialists as reported in a range of articles published in the decade of 2014-2023. A total of 28 articles were identified through systematic searching and a ChatGPT-assisted selection process based on a set of inclusion criteria. Specifically, we aimed to include…
Descriptors: Plagiarism, Educational Research, Artificial Intelligence, Man Machine Systems
Nicolas J. Tanchuk – Educational Theory, 2025
Artificial intelligence companies and researchers are currently working to create Artificial Superintelligence (ASI): AI systems that significantly exceed human problem-solving speed, power, and precision across the full range of human solvable problems. Some have claimed that achieving ASI -- for better or worse -- would be the most significant…
Descriptors: Artificial Intelligence, Problem Solving, Accuracy, Digital Literacy
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
Venkataraman Balaji; Betty Obura Ogange; Tony Mays – Journal of Learning for Development, 2025
Artificial intelligence (AI) is rapidly transforming various sectors, including education. One of the most promising applications of AI in education is in the development and adaptation of Open Educational Resources (OER). COL's Teacher-in the-Loop (TiL-AI) initiative empowers teachers and TVET trainers across the Commonwealth to leverage…
Descriptors: Artificial Intelligence, Open Educational Resources, Teacher Empowerment, Relevance (Education)
Rodrigo Ferreira – Learning, Media and Technology, 2025
As educators have begun to investigate new ways to promote student productivity and creativity by 'co-creating' with generative AI (GenAI), scholars have simultaneously warned against attributing creativity to GenAI given potential risks that anthropomorphizing AI could result in undermining the value of human creativity or in encouraging current…
Descriptors: Artificial Intelligence, Technology Uses in Education, Climate, Creativity
Habeeb Yusuf; Arthur Money; Damon Daylamani-Zad – Educational Technology Research and Development, 2025
The ever-changing global educational landscape, coupled with the advancement of Web3, is seeing rapid changes in the ways pedagogical artificially intelligent conversational agents are being developed and used to advance teaching and learning in higher education. Given the rapidly evolving research landscape, there is a need to establish what the…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Higher Education
Yan Li; Xinyan Zhou; Hong-biao Yin; Thomas K. F. Chiu – Smart Learning Environments, 2025
Artificial Intelligence (AI) chatbots, with their ability to engage in conversations that resemble human interactions, have been increasingly applied to language teaching. Most recent review studies overlook student learning outcomes and the methods to achieve these outcomes in chatbot-supported language learning. Activity Theory (AT) offers a…
Descriptors: Artificial Intelligence, Educational Technology, Language Acquisition, Outcomes of Education
Evaluation of AI Content Generation Tools for Verification of Academic Integrity in Higher Education
Muhammad Bilal Saqib; Saba Zia – Journal of Applied Research in Higher Education, 2025
Purpose: The notion of using a generative artificial intelligence (AI) engine for text composition has gained excessive popularity among students, educators and researchers, following the introduction of ChatGPT. However, this has added another dimension to the daunting task of verifying originality in academic writing. Consequently, the market…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Evaluation
Abdullah Al-Abri – Education and Information Technologies, 2025
This study explores the impact of ChatGPT, an advanced Large Language Model (LLM), as a virtual tutor in online education across five key dimensions: answering questions, writing assistance, study resources, exam preparation, and availability. Utilizing an experimental design, 68 undergraduate students from a public university interacted with…
Descriptors: Artificial Intelligence, Natural Language Processing, Man Machine Systems, Intelligent Tutoring Systems
Alessandra Rister Portinari Maranca; Jihoon Chung; Musashi Hinck; Adam D. Wolsky; Naoki Egami; Brandon M. Stewart – Sociological Methods & Research, 2025
Generative artificial intelligence (AI) has shown incredible leaps in performance across data of a variety of modalities including texts, images, audio, and videos. This affords social scientists the ability to annotate variables of interest from unstructured media. While rapidly improving, these methods are far from perfect and, as we show, even…
Descriptors: Error of Measurement, Artificial Intelligence, Documentation, Visual Aids

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