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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
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
Rong Yaojun; Kizito Tekwa – Education and Information Technologies, 2025
Research on using generative artificial intelligence (GenAI) chatbots in learning environments continues to underpin research in and out of academia. However, GenAI text-to-video (T2V) models have not been adequately investigated in academia, mostly due to their novelty. That means their potential to improve learning remains to be determined. This…
Descriptors: Artificial Intelligence, Technology Uses in Education, Captions, Video Technology
Behzad Mirzababaei; Viktoria Pammer-Schindler – IEEE Transactions on Learning Technologies, 2024
In this article, we investigate a systematic workflow that supports the learning engineering process of formulating the starting question for a conversational module based on existing learning materials, specifying the input that transformer-based language models need to function as classifiers, and specifying the adaptive dialogue structure,…
Descriptors: Learning Processes, Electronic Learning, Artificial Intelligence, Natural Language Processing
Ishrat Ahmed; Wenxing Liu; Rod D. Roscoe; Elizabeth Reilley; Danielle S. McNamara – Grantee Submission, 2025
Large language models (LLMs) are increasingly being utilized to develop tools and services in various domains, including education. However, due to the nature of the training data, these models are susceptible to inherent social or cognitive biases, which can influence their outputs. Furthermore, their handling of critical topics, such as privacy…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Mediated Communication, College Students
Kevin Peyton; Saritha Unnikrishnan; Brian Mulligan – Discover Education, 2025
Within the university sector, student recruitment and enrolment are key strategies as institutions strive to attract, retain and engage students. This strategy is underpinned by the provision of services, applications and technologies that facilitate lecturing and support staff. Universities that offer online learning have a particular incentive…
Descriptors: Universities, Artificial Intelligence, Computer Mediated Communication, College Students
Olena Bolgova; Paul Ganguly; Volodymyr Mavrych – Anatomical Sciences Education, 2025
Integrating artificial intelligence, particularly large language models (LLMs), into medical education represents a significant new step in how medical knowledge is accessed, processed, and evaluated. The objective of this study was to conduct a comprehensive analysis comparing the performance of advanced LLM chatbots in different topics of…
Descriptors: Comparative Analysis, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Bozkurt, Aras – Asian Journal of Distance Education, 2023
Generative AI, specifically ChatGPT, represents a significant technological advancement in natural language processing (NLP) large language models (LLM) with far-reaching implications in many dimensions of our lives, including education. This paper discusses the prospects of generative AI in utilizing language and its potential role as a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Computer Mediated Communication
Lancaster, Thomas – International Journal for Educational Integrity, 2023
Text generation tools, often presented as a form of generative artificial intelligence, have the potential to pose a threat to the integrity of the educational system. They can be misused to afford students marks and qualifications that they do not deserve. The emergence of recent tools, such as ChatGPT, appear to have left the educational…
Descriptors: Artificial Intelligence, Natural Language Processing, Integrity, Educational Technology
Snekha, S.; Ayyanathan, N. – Shanlax International Journal of Education, 2023
An educational customer relationship management (CRM) Chatbot is a learner support service automation tool that enhances the human computer interaction and user experience in higher education institutions through effective online conversation and information exchange. The machine with embedded knowledge is trained to identify the sentences and…
Descriptors: Computer Software, Learning Management Systems, Educational Technology, Man Machine Systems
Kadir Karakaya – Asian Journal of Distance Education, 2025
This article explores human-AI interaction with large language models or conversational agents in complex information tasks with a focus on prompt engineering strategies. The paper reviews the current literature on the use of artificial intelligence (AI) for complex information tasks that are often nonlinear and entail interpretation,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Man Machine Systems, Interaction
Li, Chenglu; Xing, Wanli – International Journal of Artificial Intelligence in Education, 2021
Among all the learning resources within MOOCs such as video lectures and homework, the discussion forum stood out as a valuable platform for students' learning through knowledge exchange. However, peer interactions on MOOC discussion forums are scarce. The lack of interactions among MOOC learners can yield negative effects on students' learning,…
Descriptors: Natural Language Processing, Online Courses, Computer Mediated Communication, Artificial Intelligence
Kathryn N. Thompson; Kimberley L. Chandler; Candice Morgan; Daniel Khashabi; Emily A. Delinski; Benjamin Van Durme – Journal of Advanced Academics, 2025
Large language models (LLMs) have the potential to impact learning in the advanced learner virtual classroom through personalized learning and on-demand feedback. This study investigated whether an LLM added to virtual science course activities impacted student learning. Using the GPT4o model from OpenAI, the LLM was developed as a co-tutor to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intelligent Tutoring Systems, Electronic Learning
Billington, Catherine; Rivero, Gonzalo; Jannett, Andrew; Chen, Jiating – Field Methods, 2022
During data collection, field interviewers often append notes or comments to a case in open text fields to request updates to case-level data. Processing these comments can improve data quality, but many are non-actionable, and processing remains a costly manual task. This article presents a case study using a novel application of machine learning…
Descriptors: Artificial Intelligence, Interviews, Data Collection, Notetaking
Karakose, Turgut; Demirkol, Murat; Aslan, Nurcihan; Köse, Hüseyin; Yirci, Ramazan – Educational Process: International Journal, 2023
Background/purpose: ChatGPT, an AI-powered chatbot designed with generative pre-trained transformer architecture, have intrigued millions of people from diverse backgrounds since its first release, and generated excitement with its groundbreaking performance in numerous use cases they have been tested. Its ability to generate coherent and…
Descriptors: Artificial Intelligence, Natural Language Processing, Computer Mediated Communication, Scientific Research

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