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Rafael Molina Carmona, Editor; Carlos J. Villagrá Arnedo, Editor; Patricia Compañ Rosique, Editor; Francisco García Peñalvo, Editor; Alicia García-Holgado, Editor – Lecture Notes in Educational Technology, 2025
This volume comprises of the proceedings of The Twelfth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM). It reflects outstanding advances, with a multidisciplinary perspective, in the technological ecosystems that support Knowledge Society building and development. This book covers broad-scope research…
Descriptors: Cultural Pluralism, Technology Uses in Education, Gamification, Educational Games
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
Chaoran Wang – Technology, Knowledge and Learning, 2025
Generative artificial intelligence (AI) can create sophisticated textual and multimodal content readily available to students. Writing intensive courses and disciplines that use writing as a major form of assessment are significantly impacted by advancements in generative AI, as the technology has the potential to revolutionize how students write…
Descriptors: Artificial Intelligence, Computer Uses in Education, Writing (Composition), Writing Processes
Michael W. Kessinger, Editor; Gera S. Nelson, Editor; Lesia Lennex, Editor; Kimberely Fletcher Nettleton, Editor – IGI Global, 2025
Artificial Intelligence (AI) transforms the classroom experience by enhancing instruction and helping students build essential skills for the modern world. Teachers use AI tools to personalize learning, adapt lessons in real time, and automate administrative tasks, allowing more time to focus on student engagement. AI supports students in…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Technology, Technology Integration
Lydia Kyei-Blankson, Editor; Esther Ntuli, Editor – IGI Global, 2025
AI revolutionizes education and transforms learning strategies catered to students' personal needs. Through adaptive learning algorithms and intelligent tutoring systems, AI enhances the educational experience by customizing content and increasing the speed at which each student can learn based on their individual strengths and challenges. This…
Descriptors: Transformative Learning, Artificial Intelligence, Technology Uses in Education, Intelligent Tutoring Systems
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
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
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

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