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Showing 1 to 15 of 24 results Save | Export
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Afza Diyana Abdullah; Xiaoting Qiu; Huan Li; Muhammad Kamarul Kabilan – Reading Research Quarterly, 2025
Academic reading, a cornerstone of postgraduate education, often presents challenges, particularly for non-native English speakers. These include complex texts, extensive vocabulary, and integrating diverse sources. This study investigates the potential of ChatGPT as an academic reading tool for postgraduate students, emphasizing its usability,…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Graduate Students
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Benjamin Gagl; Klara Gregorová – npj Science of Learning, 2024
Efficient reading is essential for societal participation, so reading proficiency is a central educational goal. Here, we use an individualized diagnostics and training framework to investigate processes in visual word recognition and evaluate its usefulness for detecting training responders. We (i) motivated a training procedure based on the…
Descriptors: Reading, Reading Rate, Language Acquisition, Artificial Intelligence
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Yoon Lee; Gosia Migut; Marcus Specht – British Journal of Educational Technology, 2025
Learner behaviours often provide critical clues about learners' cognitive processes. However, the capacity of human intelligence to comprehend and intervene in learners' cognitive processes is often constrained by the subjective nature of human evaluation and the challenges of maintaining consistency and scalability. The recent widespread AI…
Descriptors: Artificial Intelligence, Cognitive Processes, Student Behavior, Cues
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Grace D. Jaiyeola; Aaron Y. Wong; Richard L. Bryck; Caitlin Mills; Stephen Hutt – International Educational Data Mining Society, 2025
This study explores the use of webcam-based eye tracking during a learning task to predict and better understand neurodivergence with the aim of improving personalized learning to support diverse learning needs. Using WebGazer, a webcam-based eye tracking technology, we collected gaze data from 354 participants as they engaged in educational…
Descriptors: Video Technology, Eye Movements, Neurodevelopmental Disorders, Artificial Intelligence
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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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T. Philip Nichols; Alexandra Thrall; Julian Quiros; Ezekiel Dixon-Román – Reading Research Quarterly, 2024
This conceptual article examines the role of "speculation" in driving responses to generative AI platforms in literacy education and the implications for research, pedagogy, and practice. Our focus on "speculation" encompasses two meanings of the term -- each of which has inspired lively lines of inquiry in literacy studies and…
Descriptors: Literacy Education, Artificial Intelligence, Technology Uses in Education, Educational Practices
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Stuart Marshall Bender – Changing English: Studies in Culture and Education, 2024
This discussion article examines the potential integration of Generative Artificial Intelligence (Gen-AI), including advanced Large-Language Models like the popular platform ChatGPT into subject English education. Following the significant public and academic attention in response to these technologies through 2023, this paper considers the…
Descriptors: Artificial Intelligence, Digital Literacy, Technology Uses in Education, English Teachers
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Wenhao Wang; Etsuko Kumamoto; Chengjiu Yin – International Educational Data Mining Society, 2024
The e-book system, widely used in learning and teaching, has generated a large amount of log data over time. Researchers analyzing these data have discovered the existence of student's jump back behavior, which is positively correlated with academic achievement. However, they also found that this behavior has the disadvantage of low efficiency. To…
Descriptors: Electronic Books, Natural Language Processing, Artificial Intelligence, Reading
Lincke, Alisa; Jansen, Marc; Milrad, Marcelo; Berge, Elias – Research and Practice in Technology Enhanced Learning, 2021
Web-based learning systems with adaptive capabilities to personalize content are becoming nowadays a trend in order to offer interactive learning materials to cope with a wide diversity of students attending online education. Learners' interaction and study practice (quizzing, reading, exams) can be analyzed in order to get some insights into the…
Descriptors: Artificial Intelligence, Prediction, Electronic Learning, Repetition
Chelsea Alexandra Kern – ProQuest LLC, 2021
"Reading the Machine: Digital Reading Practices and the Contemporary U.S. Novel," investigates how emerging information technologies--networked devices, software programs, and algorithmic protocols--redefine cultural forms of textual production and reception. Focusing on the longstanding literary form of the novel as a point of entry,…
Descriptors: Reading, Novels, Information Technology, Social Networks
Leanne Ellis – Knowledge Quest, 2024
This article is about what the future of reading looks like. Currently many districts across the country--including New York City--are adopting research-based methods called the science of reading that focus on mechanics. Leanne Ellis surmises the future of reading holds great promise if school librarians can promote, showcase, and advocate for a…
Descriptors: Reading, Reading Achievement, Reading Instruction, Reading Motivation
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Gang Lei – Interactive Learning Environments, 2024
With the emergence of the Industrial Revolution 4.0, modern technologies such as cloud computing, artificial intelligence, and big data are profoundly transforming the education ecosystem. The development of education is not only faced with huge challenges but also contains rare opportunities. New concepts such as deep learning, adaptive learning,…
Descriptors: Educational Technology, Artificial Intelligence, Blended Learning, Data
OECD Publishing, 2023
As artificial intelligence (AI) expands its scope of applications across society, understanding its impact becomes increasingly critical. The OECD's AI and the Future of Skills (AIFS) project is developing a comprehensive framework for regularly measuring AI capabilities and comparing them to human skills. The resulting AI indicators should help…
Descriptors: Artificial Intelligence, Skill Development, Computer Software, Futures (of Society)
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Jennifer M. Higgs; Amy Stornaiuolo – Reading Research Quarterly, 2024
The recent unveiling of chatbots such as ChatGPT has catalyzed vigorous debates about generative AI's impact on how learners read, write, and communicate. Largely missing from these debates is careful consideration of how young people are experiencing AI in their everyday lives and how they are making sense of the questions that these rapidly…
Descriptors: High School Students, High School Teachers, English Instruction, Artificial Intelligence
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Catherine Lammert; Samuel DeJulio; Stephanie Grote-Garcia; Lucretia M. Fraga – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2024
Since ChatGPT launched in 2022, teachers and administrators have had the challenge of using generative Artificial Intelligence (AI) effectively while minimizing the negative consequences of its presence in schools. Today, AI-enabled lesson plan generators such as Diffit and MagicSchool AI are widely available to teachers, but no research has…
Descriptors: Artificial Intelligence, Lesson Plans, Access to Education, Educational Quality
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