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Showing 1 to 15 of 21 results Save | Export
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Yoo-Jean Lee – ELT Journal, 2024
Recent attention on ChatGPT, a prominent AI language model, highlights its potential in assisting EFL writing. Although ChatGPT's capabilities involve grammar correction, vocabulary enrichment and sentence structuring, its full potential alongside human scaffolding in EFL writing classrooms remains unexplored. This study aims to fill this gap by…
Descriptors: Artificial Intelligence, English (Second Language), Writing Instruction, Collaborative Writing
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Sarah Jerasa; Sarah K. Burriss – English Teaching: Practice and Critique, 2024
Purpose: Artificial intelligence (AI) has become increasingly important and influential in reading and writing. The influx of social media digital spaces, like TikTok, has also shifted the ways multimodal composition takes place alongside AI. This study aims to argue that within spaces like TikTok, human composers must attend to the ways they…
Descriptors: Artificial Intelligence, Social Media, Algorithms, Writing (Composition)
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Shibani, Antonette; Rajalakshmi, Ratnavel; Mattins, Faerie; Selvaraj, Srivarshan; Knight, Simon – International Educational Data Mining Society, 2023
With the recent release of Chat-GPT by OpenAI, the automated text generation capabilities of GPT-3 are seen as transformative and potentially systemically disruptive for higher education. While the impact on teaching and learning practices is still unknown, it is apparent that alongside risks these tools offer the potential to augment human…
Descriptors: Artificial Intelligence, Man Machine Systems, Writing (Composition), Collaborative Writing
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René Lobo-Quintero – Journal of Learning Analytics, 2025
This study investigates the integration of artificial intelligence into the Think-Pair-Share (TPS) methodology through a learning analytics lens. Using a mixed-methods quasi-experimental design (N=140), we examined how an AI-enhanced collaborative platform influences creative thinking among computer science undergraduates. The experimental group…
Descriptors: Artificial Intelligence, Cooperative Learning, Creative Thinking, Undergraduate Students
James Paul Gee; Qing Archer Zhang – Phi Delta Kappan, 2024
The landscape of writing is evolving in the era of generative AI. James Paul Gee introduces the concept of "cybersapien writing literacy," which emphasizes a synergistic partnership between humans and AI. He outlines four essential types of writing and discusses their potential benefits for personal growth, critical thinking, and…
Descriptors: Writing Skills, Artificial Intelligence, Intelligent Tutoring Systems, Reflection
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Andy Nguyen; Yvonne Hong; Belle Dang; Xiaoshan Huang – Studies in Higher Education, 2024
Artificial Intelligence (AI) has increasingly influenced higher education, notably in academic writing where AI-powered assisting tools offer both opportunities and challenges. Recently, the rapid growth of generative AI (GAI) has brought its impacts into sharper focus, yet the dynamics of its utilisation in academic writing remain largely…
Descriptors: Foreign Countries, Doctoral Students, Artificial Intelligence, Academic Language
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Ruth Li – Thresholds in Education, 2025
In this article, I introduce a collaborative annotation activity that supports students in critically examining AI-generated writing in relation to criteria including specificity and complexity. I engage students in collaboratively annotating the AI-generated essays, guiding students to identify instances in which the essays could be more…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Instruction, Writing Instruction
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Nicole Mills; Hannah Hok; Arnaud Dressen; Quentin Veillas – Foreign Language Annals, 2025
The Modern Language Association (MLA) published a writing and artificial intelligence (AI) working paper that provided an overview of key issues, concerns, and recommendations to help language educators make principle-driven pedagogical decisions to support critical AI literacy. To address the MLA's recommendations, a collaborative AI writing…
Descriptors: Teaching Methods, Second Language Learning, Second Language Instruction, Artificial Intelligence
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Amy Stornaiuolo; Jennifer Higgs; Opal Jawale; Rhianne Mae Martin – English Teaching: Practice and Critique, 2024
Purpose: With the rapid advancement of generative artificial intelligence (AI), it is important to consider how young people are making sense of these tools in their everyday lives. Drawing on critical postdigital approaches to learning and literacy, this study aims to center the experiences and perspectives of young people who encounter and…
Descriptors: Artificial Intelligence, Digital Literacy, Writing (Composition), Positive Attitudes
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Mazhar Bal; Emre Öztürk – British Educational Research Journal, 2025
The purpose of this study is to examine the relationship between technology-supported writing instruction at the K-12 level and deep learning approaches and to understand the trends in this field. In the study, 12 articles selected from Web of Science, Scopus, ERIC and EBSCO databases were systematically analysed. The findings reveal that the…
Descriptors: Learning Processes, Writing Processes, Writing Skills, Writing Instruction
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Hu, Xiao – Learning: Research and Practice, 2017
Despite the rapid development in the area of learning analytics (LA), there is comparatively little focused towards the secondary level of education. This ongoing work presents the latest developed function of Wikiglass, an LA tool designed for automatically recognising, aggregating, and visualising levels of thinking orders in student…
Descriptors: Secondary School Students, Data Analysis, Learning, Automation
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Utecht, Jeff; Keller, Doreen – Critical Questions in Education, 2019
This paper will examine the eight principles of Connectivism Learning Theory and provide examples of how institutions of learning--K-12 and higher education--may think about applying them. Engaging in such work will allow institutions to take advantage of technological platforms as they exist today and into the future. While the Internet has…
Descriptors: Learning Theories, Elementary Schools, Secondary Schools, Critical Thinking
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Mughaz, Dror; Cohen, Michael; Mejahez, Sagit; Ades, Tal; Bouhnik, Dan – Interdisciplinary Journal of e-Skills and Lifelong Learning, 2020
Aim/Purpose: Using Artificial Intelligence with Deep Learning (DL) techniques, which mimic the action of the brain, to improve a student's grammar learning process. Finding the subject of a sentence using DL, and learning, by way of this computer field, to analyze human learning processes and mistakes. In addition, showing Artificial Intelligence…
Descriptors: Artificial Intelligence, Teaching Methods, Brain Hemisphere Functions, Grammar
Mkdadi, Ali Mahmod – Online Submission, 2019
This article surveys the writing on technology in language and unknown dialect learning. Given the solid enthusiasm for innovation use for language learning, it is imperative to take a gander at how innovation has been utilized in the field up to this point. The objectives of this examination are twofold: to see how technology have been utilized…
Descriptors: Dialects, Second Language Learning, Second Language Instruction, Instructional Innovation
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Heffernan, Neil T.; Ostrow, Korinn S.; Kelly, Kim; Selent, Douglas; Van Inwegen, Eric G.; Xiong, Xiaolu; Williams, Joseph Jay – International Journal of Artificial Intelligence in Education, 2016
Due to substantial scientific and practical progress, learning technologies can effectively adapt to the characteristics and needs of students. This article considers how learning technologies can adapt over time by crowdsourcing contributions from teachers and students--explanations, feedback, and other pedagogical interactions. Considering the…
Descriptors: Artificial Intelligence, Educational Technology, Student Needs, Electronic Publishing
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