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Andrew Swindell; Luke Greeley; Antony Farag; Bailey Verdone – Online Learning, 2024
The arrival of generative artificial intelligence (AI) is fundamentally different from prior technologies used in educational settings. Educators and researchers of online, blended, and in-person learning are still coming to grips with how to employ current AI technologies in the learning experience, let alone understanding the potential…
Descriptors: Artificial Intelligence, Technology Uses in Education, Ethics, Guidelines
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Yogi Suprayogi; Senny Luckyardi; Dede Kurnia; Mirza Abdi Khairusy – International Journal of Language Education, 2024
The increase in borderless digital-based business competition shows how language education is impacted by neoliberalism in this global era. We explore how linguistic technopreneurship (LT) roles is increasingly constructed as a form of linguistic entrepreneurship to exploit language-related resources to enhance one's socioeconomic value…
Descriptors: Foreign Countries, Second Language Learning, Second Language Instruction, Entrepreneurship
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Shamini Shetye – Studies in Applied Linguistics & TESOL, 2024
The recent advancement in technology has attracted learners' attention worldwide to Generative Artificial Intelligence (GenAI) for educational purposes. While GenAI has shown promising results for general language purposes (Godwin-Jones, 2023; Xiao & Zhi, 2023), the potential of GenAI for language learning has not been fully explored. This…
Descriptors: Artificial Intelligence, Computer Software, Second Language Learning, Second Language Instruction
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Preeti Bhaskar; Pankaj Misra; Gaurav Chopra – International Journal of Information and Learning Technology, 2024
Purpose: The discussion about using Chat Generative Pre-Trained Transformer (ChatGPT) by teachers is making notable progress on a daily basis. This research examines the teachers' adoption intention to adopt ChatGPT by focusing on perceived trust and perceived risk. The study seeks to elucidate the impact of these two factors on teachers' adoption…
Descriptors: Trust (Psychology), Risk, Artificial Intelligence, Synchronous Communication
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Atef Odeh AbuSa’aleek; Aied Alenizi – Teaching English with Technology, 2024
To better understand the use of ChatGPT as a tool for learning in higher education, this investigation reports student responses to an e-questionnaire investigating their perspectives on it. In particular, it delves into whether there are any significant differences between opinions based on gender and the level of study of 51 postgraduate…
Descriptors: Graduate Students, Student Attitudes, Artificial Intelligence, Synchronous Communication
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Khaled ElEbyary; Ramy Shabara – Teaching English with Technology, 2024
Although some published studies have challenged the importance and efficacy of written corrective feedback (WCF), ESL/EFL tutors continue to value its practice and provide WCF to their students in spite of their time and workload constraints. The development of various automated-feedback applications over the last few years contributed to our…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Feedback (Response)
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Sina Wardani Siregar; Dadang Sunendar; Nouval Nanola; Burhanudin – Elementary School Forum (Mimbar Sekolah Dasar), 2024
The ability to convey messages through sounds is known as language skills, with listening skills being one of its most essential components. Listening skills are developed by children before they can speak, read, and write. However, these skills are often neglected, which affects other language skills. To improve students' listening skills, it's…
Descriptors: Educational Technology, Technology Uses in Education, Elementary School Students, Listening Skills
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John Jairo Jaramillo; Andrés Chiappe – Prospects, 2024
This article describes a systematic literature review focused on identifying substantial drawbacks in the current curricula and on the challenges to developing AI-driven curricula. One hundred thirty articles were read in depth and qualitatively analyzed. The results suggest that educational stakeholders should integrate AI into the curriculum…
Descriptors: Trend Analysis, Interdisciplinary Approach, Problem Solving, Futures (of Society)
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Miltiadis D. Lytras, Editor; Afnan Alkhaldi, Editor; Sawsan Malik, Editor; Andreea Claudia ?erban, Editor; Tahani Aldosemani, Editor – Emerald Publishing Limited, 2024
Artificial Intelligence (AI) is shaping the future of higher education administration. "The Evolution of Artificial Intelligence in Higher Education" is a comprehensive guide to the transformative potential of AI in the higher education landscape, focused on the need to nurture technology literacy among educators and learners. Chapters…
Descriptors: Artificial Intelligence, Risk, Higher Education, Computer Software
Joseph Mintz, Editor; Wayne Holmes, Editor; Leping Liu, Editor; Maria Perez-Ortiz, Editor – Routledge, Taylor & Francis Group, 2024
This book problematizes and explores appropriate ways of using AI technology that can augment educational practice, especially in K-12 teaching and learning. Since the launch of OpenAI ChatGPT in November 2022, people have been debating "to chat or to cheat" while more and more educators have started to explore "to add or to…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Kindergarten
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Lin Zhang; Qiang Jiang; Weiyan Xiong; Wei Zhao – Journal of Educational Computing Research, 2025
This study seeks to deepen the understanding of the direct and indirect effects of human-computer dialogic interaction programming activities, facilitated by ChatGPT, on student engagement. Data were collected from 109 Chinese high school students who engaged in programming tasks using either ChatGPT-driven dialogic interaction or traditional pair…
Descriptors: Artificial Intelligence, Computer Software, Computer Science Education, Programming
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Cleon Xavier; Luiz Rodrigues; Newarney Costa; Rodrigues Neto; Gabriel Alves; Taciana Pontual Falcao; Dragan Gasevic; Rafael Ferreira Mello – IEEE Transactions on Learning Technologies, 2025
Providing timely and personalized feedback on open-ended student responses is a challenge in education due to the increased workloads and time constraints educators face. While existing research has explored how learning analytic approaches can support feedback provision, previous studies have not sufficiently investigated educators' perspectives…
Descriptors: Teacher Empowerment, Learning Analytics, Artificial Intelligence, Computer Software
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Linh Huynh; Danielle S. McNamara – Grantee Submission, 2025
We conducted two experiments to assess the alignment between Generative AI (GenAI) text personalization and hypothetical readers' profiles. In Experiment 1, four LLMs (i.e., Claude 3.5 Sonnet; Llama; Gemini Pro 1.5; ChatGPT 4) were prompted to tailor 10 science texts (i.e., biology, chemistry, physics) to accommodate four different profiles…
Descriptors: Natural Language Processing, Profiles, Individual Differences, Semantics
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Christine Ladwig; Dana Schwieger; Reshmi Mitra – Information Systems Education Journal, 2025
The rapid rise of AI use is creating some very serious legal and ethical issues such as bias, discrimination, inequity, privacy violations, and--as creators everywhere fear--theft of protected intellectual property. Because AI platforms "learn" by scraping training materials available online or what is provided to them through their…
Descriptors: Copyrights, Plagiarism, Intellectual Property, Computer Software
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Lee Cheng; Chi Ying Lam – Music Education Research, 2025
Amidst growing interest and accumulating evidence that learning music can enhance the intellectual, social, and personal development of children, there remains a notable gap in addressing how it can benefit children with functional diversity. Adopting a posthuman perspective, this paper asserts that the design and use of technology can provide a…
Descriptors: Communication Skills, Interpersonal Communication, Music Activities, Telecommunications
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