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Liron Levy-Nadav; Tamar Shamir-Inbal; Ina Blau – Journal of Computer Assisted Learning, 2025
Background: The rapid rise of Generative Artificial Intelligence (GenAI) is transforming education. At this stage, there is not yet a well-established and tested theoretical framework clarifying which competencies learners must possess to use GenAI effectively and safely. This study draws on three theoretical frameworks: Eshet-Alkalai's Digital…
Descriptors: Digital Literacy, Competence, Artificial Intelligence, Technology Uses in Education
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Sri Nurhayati; Taufikin Taufikin; Loso Judijanto; Safuri Musa – Educational Process: International Journal, 2025
Background/purpose: The integration of artificial intelligence (AI) into child education presents transformative opportunities, yet Indonesian parental readiness remains insufficiently explored. This study examines parental preparedness, barriers to adoption, and policy interventions to ensure effective AI implementation in child education.…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Parents
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Ashley V. Taconet; Graham G. Rifenbark; Allison R. Lombardi; Valerie L. Mazzotti; Mary E. Morningstar – Journal of Special Education, 2025
The purpose of this study was to examine responses from U.S. high school students with (n = 356) and without (n = 1,599) an Individualized Education Program (IEP) on 11 independent living skills (ILS) items taken from a broader college and career readiness assessment. Results indicated significant differences in ILS proficiency based on IEP…
Descriptors: High School Students, Students with Disabilities, Independent Living, Daily Living Skills
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Pornrat Wattanakasiwich; Kreetha Kaewkhong; Duanghatai Katwibun – Physical Review Physics Education Research, 2025
This study investigates physics instructors' acceptance and implementation of generative AI (GenAI) in physics education, guided by Rogers' diffusion of innovation (DOI) theory, focusing on its five-stage innovation-decision process: knowledge, persuasion, decision, implementation, and confirmation. Two survey versions were developed--one for…
Descriptors: Artificial Intelligence, Physics, Science Teachers, Science Instruction
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Nyoman Sridana; Harry Soeprianto; Amrullah Amrullah – European Journal of STEM Education, 2025
Several studies are examining the problem of mathematics learning devices, but few have specifically explored the devices that are incorporated with technological pedagogical content knowledge (TPACK). Therefore, this study aims to descriptively explore the incorporation of TPACK in mathematics learning devices. An exploratory descriptive method…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Mathematics Teachers, Mathematics Instruction
Jordan S. Berne; Brian A. Jacob; Christina Weiland; Katharine O. Strunk – Annenberg Institute for School Reform at Brown University, 2025
State laws that mandate in-grade retention for struggling readers are widespread in the U.S., covering 34% of public-school third graders in 2023-24. This study investigates the impacts of Michigan's third-grade reading law on subsequent test scores and school progress outcomes for the 2020-21 and 2021-22 third-grade cohorts. Using a regression…
Descriptors: Grade Repetition, School Policy, Reading Difficulties, State Policy
Qingyang Zhang; Rose E. Wang; Ana T. Ribeiro; Dorottya Demszky; Susanna Loeb – Annenberg Institute for School Reform at Brown University, 2025
Educator attention is critical for student success, yet how educators distribute their attention across students remains poorly understood due to data and methodological constraints. This study presents the first large-scale computational analysis of educator attention patterns, leveraging over 1 million educator utterances from virtual group…
Descriptors: Attention, Teacher Behavior, Equal Education, Gender Differences
Pilar Cuevas-Ruiz; Luz Rello; Ismael Sanz; Almudena Sevilla – Annenberg Institute for School Reform at Brown University, 2025
Persistent literacy skills deficits hinder educational attainment, limit labour market opportunities, and exacerbate socioeconomic inequalities. This paper evaluates the causal effect of an AI-driven Computer-Assisted Learning (CAL) program implemented by the Government of Madrid, which features personalised, adaptive content and real-time…
Descriptors: Artificial Intelligence, Individualized Instruction, Reading Skills, Equal Education
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Ben Konruff – Teachers College Record, 2025
Background: Lengthy sequences of decontextualized adult education and literacy program courses pose a challenge to two-year college students' educational outcomes. The Integrated Education and Training model has been suggested as a promising approach to creating accelerated and contextualized pathways from adult education and literacy programming…
Descriptors: Two Year Colleges, Two Year College Students, Academic Achievement, Outcomes of Education
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Ashley Graegin; Margery Gardner – Excelsior: Leadership in Teaching and Learning, 2025
In the 21st century, U.S. legislation continues to push for teacher censorship and seemingly depoliticized curriculums that ignore systemic issues regarding race, gender, sexuality, and other social justice topics. With the understanding that texts can never be politically neutral, English language arts (ELA) teachers must adopt critical…
Descriptors: Critical Literacy, Novels, Rural Areas, Language Arts
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Muhammad Ittefaq; Ali Zain; Rauf Arif; Taufiq Ahmad; Laeeq Khan; Hyunjin Seo – Journal of International Students, 2025
GenAI has revolutionized higher education across the globe. One group that is particularly impacted is international students. We examined the factors influencing international students' intentions to use GenAI. We recruited participants studying in the U.S. through an online survey. Our results suggest that attitudes toward GenAI use, PEU, PU,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Foreign Students, Student Attitudes
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Ignas Lukanga; Suzana S. Nyanda – Journal of Education and Learning, 2025
Early childhood development (ECD) initiatives are championed globally due to their proven ability to help children at risk of developmental delay attain their developmental potential. A comparative study was conducted using a mixed research approach to assess child development disparities among rural and urban children across the domain of child…
Descriptors: Early Intervention, Child Development, Rural Areas, Urban Areas
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Alishba Hania; Muhammad Waqas; Xu Chunyan – European Journal of Education, 2025
The pursuit of enhanced teaching competency in higher education necessitates understanding multifaceted factors that influence effective teaching practices. This study investigated how AI efficacy, social media use and classroom dynamics enhance teaching competency among higher education faculty. Grounded in Bandura's Social Cognitive Theory, we…
Descriptors: College Faculty, Teacher Competencies, Higher Education, Artificial Intelligence
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Qian Wang; Qingyun Li; Xinmian Cui; Yanfei Xu; Nina Wang; Mengyan Wang – Journal of Baltic Science Education, 2025
Artificial Intelligence (AI) has the potential to transform preschool teacher education, particularly in the domain of health education, yet its effective integration remains underexplored in socioeconomically diverse regions. Understanding the psychological and technical factors that influence AI adoption is essential for improving early…
Descriptors: Artificial Intelligence, Technology Uses in Education, Preschool Teachers, Technological Literacy
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Xuanya Zhou; Angela M. Kohnen – Journal of Literacy Research, 2025
This article explores how Chinese rural student Yi (pseudonym) nuancedly challenged dominant narratives surrounding school meritocracy, rural deficit, and success. The analysis centers Yi's narrative--tracing her journey from a rural village to a city high school situated within China's unequal education system and rural-urban divide--powerfully…
Descriptors: Foreign Countries, Rural Schools, Governance, Intelligence
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