Publication Date
| In 2026 | 43 |
| Since 2025 | 3123 |
| Since 2022 (last 5 years) | 7991 |
| Since 2017 (last 10 years) | 11857 |
| Since 2007 (last 20 years) | 17187 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Researchers | 645 |
| Practitioners | 607 |
| Teachers | 559 |
| Administrators | 155 |
| Policymakers | 130 |
| Students | 104 |
| Parents | 64 |
| Counselors | 36 |
| Media Staff | 16 |
| Support Staff | 13 |
| Community | 9 |
| More ▼ | |
Location
| China | 632 |
| Turkey | 494 |
| Canada | 411 |
| Australia | 392 |
| United Kingdom | 356 |
| United States | 342 |
| Germany | 277 |
| Spain | 253 |
| India | 252 |
| Netherlands | 240 |
| California | 207 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 16 |
| Meets WWC Standards with or without Reservations | 20 |
| Does not meet standards | 16 |
Jhon Alé; Beatrice Ávalos; Roberto Araya – Review of Education, 2025
This scoping review examines the integration of artificial intelligence (AI) tools into scientific education practices in school settings. Following the PRISMA statement guidelines, a literature search was conducted in the Web of Science and Scopus databases, identifying 2892 articles published between 2020 and 2024. After applying the eligibility…
Descriptors: Artificial Intelligence, Elementary Secondary Education, Technology Integration, Science Education
Kevin Latham; Rebecca Montacute – Sutton Trust, 2025
Artificial intelligence (AI) has the potential to bring about transformative change in practically every sector, including in the education system. In schools, we are just starting to see its impact, with AI tools already saving teachers time in tasks like planning and marking, as well as wider staff time spent on administrative tasks. In the long…
Descriptors: Artificial Intelligence, Technology Uses in Education, Equal Education, Access to Computers
Meng-Hsun Lee; Eunice Eunhee Jang; Liam Hannah – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2025
As international students increasingly pursue higher education in English-dominant countries, developing their academic writing skills is crucial. However, limited access to individualized feedback remains a challenge. AI-driven tools and self-assessment offer promising solutions, making feedback more accessible. This study involved 50…
Descriptors: Foreign Countries, Graduate Students, English (Second Language), Foreign Students
Ceylan Gündeger Kilci – International Journal of Assessment Tools in Education, 2025
This study examined the psychometric quality of multiple-choice questions generated by two AI tools, ChatGPT and DeepSeek, within the context of an undergraduate Educational Measurement and Evaluation course. Guided by ten learning outcomes (LOs) aligned with Bloom's Taxonomy, each tool was prompted to generate one five-option multiple-choice item…
Descriptors: Psychometrics, Multiple Choice Tests, Artificial Intelligence, Natural Language Processing
Muzaffer Pinar Babanoglu; Tuçe Öztürk Karatas; Esin Dündar – SAGE Open, 2025
Artificial intelligence (AI) rapidly transforms education, offering adaptive and personalized learning experiences. In English as a Foreign Language (EFL) education, AI-powered tools such as chatbots, writing assistants, and translation software reshape teaching and learning. This study explores how 67 prospective EFL teachers envision the future…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, English (Second Language)
Colleen McClain; Olivia Sidoti; Michelle Faverio; Suvi Lama – Pew Research Center, 2025
Pew Research Center conducted this study to understand how parents of kids ages 12 and younger approach their children's technology use and screen time. For this analysis, 3,054 parents who have children ages 12 and under were surveyed from May 13 to 26, 2025. The sample for this survey includes respondents from two different sources--Pew Research…
Descriptors: Parenting Styles, Children, Preadolescents, Computer Use
Kole A. Norberg; Husni Almoubayyed; Logan De Ley; April Murphy; Kyle Weldon; Steve Ritter – International Journal of Artificial Intelligence in Education, 2025
Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Educational Change
Meena Jha; Amara Atif – Australasian Journal of Educational Technology, 2025
While higher education institutions have updated their policies and issued guidelines to support ethical use of generative artificial intelligence (GenAI), translating these into effective classroom practices remains a significant challenge. This study explores how educators in Australian higher education are taking GenAI into their teaching to…
Descriptors: Teaching Methods, Artificial Intelligence, Technology Uses in Education, Higher Education
Ching-Yi Tien; Noor Azam Haji-Othman – English Language Teaching Educational Journal, 2025
The release of ChatGPT by OpenAI in 2022 marked a major milestone, beginning a new phase in how artificial intelligence (AI) is used in education and transforming the way students access and engage with academic resources. This study explores how non-native English-speaking students handle the language challenges of content-area courses in higher…
Descriptors: Foreign Countries, Higher Education, Undergraduate Students, English (Second Language)
Aoun, Joseph E.; Kosslyn, Stephen M. – Liberal Education, 2018
Technology is a catalyst that is reconfiguring every profession, from finance to medicine to media. Old verities about "useful" skills are disappearing into the cloud. Many students give the existential question "What do I want to be?" a simple response: "Employed." It is not obvious what skills that will require in a…
Descriptors: Artificial Intelligence, 21st Century Skills, Automation, Context Effect
Tabatabaee-Yazdi, Mona; Baghaei, Purya – Reading Matrix: An International Online Journal, 2018
In this study the cognitive correlates of reading comprehension in English as a foreign language were studied. The Cattell-Horn-Carroll model of cognitive abilities was used as the theoretical grounding for the study. We examined the relationship between fluid intelligence, crystallized intelligence, verbal analogical reasoning, and speed of…
Descriptors: Reading Comprehension, Second Language Learning, English (Second Language), Cognitive Ability
Benson, Nicholas F.; Kranzler, John H. – Journal of Psychoeducational Assessment, 2018
This study further examined the Gifted Rating Scales (GRS) at the internal and external stages of test validation by (a) testing structural fidelity as indicated by the number of factors supported as well as the correspondence of the latent factor structure with the scoring model proposed by the authors and (b) examining the external relations of…
Descriptors: Construct Validity, Rating Scales, Academically Gifted, Preschool Children
Minear, Meredith; Coane, Jennifer H.; Boland, Sarah C.; Cooney, Leah H.; Albat, Marissa – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
The authors examined whether individual differences in fluid intelligence (gF) modulate the testing effect. Participants studied Swahili--English word pairs and repeatedly studied half the pairs or attempted retrieval, with feedback, for the remaining half. Word pairs were easy or difficult to learn. Overall, participants showed a benefit of…
Descriptors: Individual Differences, Intelligence, Information Retrieval, Testing
McGill, Ryan J.; Dombrowski, Stefan C. – Contemporary School Psychology, 2018
The factor structure of the 16 core and supplementary Cattell-Horn-Carroll (CHC) model subtests for the Kaufman Assessment Battery for Children-Second Edition (KABC-II; Kaufman and Kaufman, 2004a) standardization sample samples aged 7-18 (N = 2025) was examined using exploratory factor analytic techniques (EFA) not included in the KABC-II manual…
Descriptors: Factor Structure, Factor Analysis, Children, Intelligence Tests
Shamash, Rebecca – Berkeley Review of Education, 2018
This article addresses how the elite class in the United States is (re)produced by and through institutions of higher education, especially the most selective institutions. Through a review of critical, interdisciplinary research on socioeconomic inequality, elitism, and higher education, this paper begins with an overview of contemporary economic…
Descriptors: Higher Education, Social Class, Neoliberalism, Advantaged

Peer reviewed
Direct link
