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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
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
Kim, Kathy MinHye; Maie, Ryo; Suga, Kiyo; Miller, Zachary F.; Hui, Bronson – Language Learning, 2023
This study addresses the role of awareness in learning and the variables that may facilitate adult second language (L2) implicit learning. We replicated Williams's (2005) study with a similar group of academic learners enrolled at university as well as a group of non-college-educated adults in order to explore the generalizability of the findings…
Descriptors: Second Language Learning, Individual Differences, Intelligence, Generalizability Theory
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)
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
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
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
Johnson, Rebecca L.; Wootten, Megan; Spear, Abigail I.; Smolensky, Ashley – Journal of Psycholinguistic Research, 2023
Previous research shows that processing times on emotion words (both negative and positive) are faster than on non-emotional neutral words. In the current study, we explored how personality traits (the Big Five and the trait emotional intelligence factors) may further influence the processing of emotion versus non-emotion words by conducting two…
Descriptors: Informed Consent, Personality Traits, Psychological Patterns, Language Usage
Shu-Ling Wang; John J. H. Lin; Pin-Chun Su – Educational Technology & Society, 2024
Although research suggests a relationship among personal characteristics, behaviors, and performance, there has been limited examination of these influences in the context of intelligence tests using eye movement techniques. Thus, this study explored the roles of personal characteristics (i.e., visual/verbal cognitive styles, self-efficacy) and…
Descriptors: Self Efficacy, Thinking Skills, Eye Movements, Cognitive Style
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
Jiamin Xu – Early Childhood Education Journal, 2024
Emotional intelligence plays a crucial role in children's development. It has been shown in previous studies that emotional intelligence not only influences academic performance but also benefits children's social and interpersonal lives. This study proposes a new strategy that integrates dialogical reading with visible thinking routines to…
Descriptors: Emotional Intelligence, Child Development, Reading, Cognitive Processes
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
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)
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