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Mary Kalantzis; Bill Cope – Reading Research Quarterly, 2025
The latest mutation of Artificial Intelligence, Generative AI, is more than anything a technology of writing. It is a machine that can write. In a world-historical frame, the significance of this cannot be understated. This is a technology in which the unnatural language of code tangles with the natural language of everyday life. Its form of…
Descriptors: Artificial Intelligence, Natural Language Processing, Literacy Education, Technology Uses in Education
Yu Song – Routledge, Taylor & Francis Group, 2024
This book demonstrates how artificial intelligence (AI) can be used to uncover the patterns of classroom dialogue and increase the productiveness of dialogue. In this book, the author uses a range of data mining techniques to explore the productive features and sequential patterns of classroom dialogue. She analyses how the Large Language Model…
Descriptors: Classroom Communication, Artificial Intelligence, Technology Uses in Education, Dialogs (Language)
Large Language Models and Intelligent Tutoring Systems: Conflicting Paradigms and Possible Solutions

Punya Mishra; Danielle S. McNamara; Gregory Goodwin; Diego Zapata-Rivera – Grantee Submission, 2025
The advent of Large Language Models (LLMs) has fundamentally disrupted our thinking about educational technology. Their ability to engage in natural dialogue, provide contextually relevant responses, and adapt to learner needs has led many to envision them as powerful tools for personalized learning. This emergence raises important questions about…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Technology Uses in Education, Educational Technology
Mostafa Al-Emran – Interactive Learning Environments, 2024
The rapidly evolving digital landscape, punctuated by the emergence of artificial intelligence (AI) and immersive technologies, is poised to reshape learning environments dramatically. This study explores the potential use of ChatGPT, a state-of-the-art language model developed by OpenAI, in Metaverse learning environments. It sheds light on…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Opportunities
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
Erik Voss; Hansun Zhang Waring – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
Significant advancements in voice chatbots have spurred interest into their role in second language learning (Conium, 2008), particularly their ability to assist in the development of learners' conversation skills in a target language. Many efforts have been made to explore AI's potential to act as conversation partners for language learners. Of…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication, Man Machine Systems
Ahmad Chaddad; Yuchen Jiang – IEEE Transactions on Learning Technologies, 2025
The concept of the Metaverse, viewed as the ultimate manifestation of the Internet, has gained significant attention due to rapid advances in technologies such as the Internet of Things (IoT) and blockchain. Acting as a bridge between the physical and virtual worlds, the Metaverse has the potential to offer remarkable experiences to its users.…
Descriptors: Internet, Medical Education, Instructional Effectiveness, Artificial Intelligence
Alice Watanabe – Electronic Journal of e-Learning, 2024
Artificial intelligence (AI) in higher education is a complex issue that can be discussed from many different perspectives. There is currently a great need for ethical discussions about the use of AI in universities. For example, educational researchers and teachers are already talking a lot about fairness, accountability, transparency, bias,…
Descriptors: Artificial Intelligence, Higher Education, Ethics, Technology Uses in Education
Lodge, Jason M.; Yang, Suijing; Furze, Leon; Dawson, Phillip – Learning: Research and Practice, 2023
It is becoming apparent that generative AI has significant implications for education. However, previous technologies that have had a large impact, such as calculators, do not provide a suitable model for understanding how generative AI can and will be used in learning. Drawing on research on human-computer interactions, we map out a typology of…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Navreet Kaur Rana – Higher Education for the Future, 2025
The article is an exploratory study assessing the stance selected higher education institutes (HEIs) have adopted regarding the usage of generative artificial intelligence (AI) applications in academic research. The HEIs are selected based on purposive sampling in order to showcase different stances they have adopted to curb plagiarism and uphold…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Plagiarism
Priya C. Kumar; Kelley Cotter; Laura Y. Cabrera – Reading Research Quarterly, 2024
Questions and concerns about artificial intelligence (AI) technologies in education reached a fever pitch with the arrival of publicly accessible, user-facing generative AI systems, especially ChatGPT. Many of these issues will require regulation and collective action to address. But when it comes to generative AI and literacy, we argue that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Influence of Technology, Literacy
Ekaterina Tour; Mark Pegrum; Shem Macdonald – English Australia Journal, 2025
As artificial intelligence (AI), and especially generative AI, are increasingly impacting daily life, it is becoming essential for learners to acquire AI literacy -- the capability to interact with AI at the interface of technology and the target language. Without AI literacy, they may struggle to navigate AI-driven systems and access benefits of…
Descriptors: English Learners, Technology Uses in Education, Educational Strategies, Artificial Intelligence
Steven A. Stolz; Ali Lucas Winterburn; Edward Palmer – Educational Philosophy and Theory, 2024
The recent proliferation of Large Language Models (LLMs) raises questions as to the role of such tools both within an educational learning environment and their epistemic capacity. If, as Alfred North Whitehead remarked, western philosophy indeed 'consists of a series of footnotes to Plato', it would be of doubtless importance to evaluate the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Philosophy
Margaret Bearman; Joanna Tai; Phillip Dawson; David Boud; Rola Ajjawi – Assessment & Evaluation in Higher Education, 2024
Generative artificial intelligence (AI) has rapidly increased capacity for producing textual, visual and auditory outputs, yet there are ongoing concerns regarding the quality of those outputs. There is an urgent need to develop students' evaluative judgement - the capability to judge the quality of work of self and others - in recognition of this…
Descriptors: Evaluative Thinking, Skill Development, Artificial Intelligence, Technology Uses in Education
Steven Watson; Jonathan Romic – European Educational Research Journal, 2025
This paper presents a novel contribution to the discourse surrounding Large Language Models (LLMs) like ChatGPT in relation to education and society by using systems theory. We argue that ChatGPT can be understood not just as an 'artificial' intelligence but that it is entangled in the evolution of society and therefore education. ChatGPT is a…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Role