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 |
Li, Fengying; He, Yifeng; Xue, Qingshui – Educational Technology & Society, 2021
With the deep application of artificial intelligence and big data in education, adaptive learning has become a new research hotspot in online education. Based on the systematic review of the connotation and research progress of adaptive learning, a new definition of adaptive learning is given. By literature analysis, this paper points out the…
Descriptors: Educational Technology, Artificial Intelligence, Student Needs, Individualized Instruction
Gedal Douglass, Amy; Roche, Kathleen M.; Lavin, Kelly; Ghazarian, Sharon R.; Perry, Deborah F. – Early Child Development and Care, 2021
The mechanisms by which high quality, two-generation early childhood services promote healthy child development remain unclear. This research examined how participation in Early Head Start (EHS), a U.S. two-generation programme for children under 3, was associated with healthy child development to age 5 through parenting processes. Using four time…
Descriptors: Longitudinal Studies, Disadvantaged Youth, Preschool Education, Kindergarten
Donohoe, C.; Topping, K. J.; Hannah, E. – Educational Psychology in Practice, 2021
This quantitative study examined year group, ability level and gender differences in mindset, social value of effort and contingencies of self-worth of 174 participants aged 13-18 years in a Scottish secondary school. The measures were Dweck's (2000) Theories of Intelligence Scale, Juvonen and Murdoch's (1995) Social Value of Effort Scale and…
Descriptors: Social Values, Self Concept, Gender Differences, Measures (Individuals)
Gigi An, Zhe; Zeng, Songtian; Chen, Ching-I; Zhao, Hongxia – Topics in Early Childhood Special Education, 2021
The purpose of this study is to examine the bidirectional relationship between children's language development and challenging behaviors as well as the moderating roles of gender and race/ethnicity. We conducted a number of structural equation modeling analyses with a national representative sample (N = 2,462) of Head Start children from the 2014…
Descriptors: Language Acquisition, Behavior Problems, Correlation, Gender Differences
Peterson, Amy K.; Ukrainetz, Teresa A.; Risueño, R. J. – Autism & Developmental Language Impairments, 2021
Purpose: This descriptive multiple case study examined the effects of a contextualized expository strategy intervention on supported and independent note-taking, verbal rehearsal, and reporting skills for three elementary students with language disorders. Method: Two 9-year-old fourth grade students and one 11-year-old sixth grade student with…
Descriptors: Intervention, Language Impairments, Elementary School Students, Grade 4
Jimenez, Laura; Boser, Ulrich – Center for American Progress, 2021
Despite the often-negative discussion about testing in schools, assessments are a necessary and useful tool in the teaching and learning process. This is especially true when it comes to diagnostic and formative assessments, which give teachers real-time direction for what students need to learn to master course content. It is this space where the…
Descriptors: Artificial Intelligence, Test Use, Test Anxiety, Test Construction
Underwood, Joshua – Research-publishing.net, 2021
Voice interaction assistants, such as "Siri," "Alexa," or "Google Assistant," offer new opportunities to create meaningful, fun tasks for language learning that require accurate spoken production. Designing good tasks requires an understanding of the learning context and needs as well as the interactional…
Descriptors: Audio Equipment, Second Language Learning, Second Language Instruction, Student Motivation
Cattell, Lindsay; Bruch, Julie – Regional Educational Laboratory Mid-Atlantic, 2021
This report provides information for administrators in local education agencies who are considering early warning systems to identify at-risk students. Districts use early warning systems to target resources to the most at-risk students and intervene before students drop out. Schools want to ensure the early warning system accurately identifies…
Descriptors: At Risk Students, Identification, Artificial Intelligence, Dropout Prevention
Pamela Marie McDonald – ProQuest LLC, 2021
The purpose of this qualitative descriptive study was to explore how elementary educators described their support of twice-exceptional students using character strengths-based practices in promoting the domains of well-being in inclusive classrooms across the state of Arizona. Seligman's (2011) PERMA model and Seligman and Csikszentmihalyi's…
Descriptors: Elementary School Teachers, Gifted Disabled, Elementary School Students, Teaching Experience
Stanovich, Keith E.; West, Richard F. – Teaching of Psychology, 2014
In this article the authors argue that distinguishing between rationality and intelligence helps explain how people can be, at the same time, intelligent and irrational (Stanovich, 2009). As such, researchers need to study separately the individual differences in cognitive skills that underlie intelligence and the individual differences in…
Descriptors: Intelligence, Responses, Cognitive Processes, Intelligence Quotient
Masrai, Ahmed; Milton, James – TESOL International Journal, 2017
Research has shown that general vocabulary knowledge (e.g., Milton & Treffers-Daller, 2013), academic vocabulary knowledge (e.g., Townsend et al., 2012) and general intelligence (e.g., Laidra et al., 2007) are good predictors of academic achievement. While the effect of these factors has mostly been examined separately, Townsend et al. (2012)…
Descriptors: English (Second Language), Academic Achievement, Predictor Variables, Intelligence
Scandura, Joseph M.; Novak, Elena – Technology, Instruction, Cognition and Learning, 2017
AuthorIT and TutorIT represent a fundamentally different approach to building and delivering adaptive learning systems. Intelligent Tutoring Systems (ITS) guide students as they solve problems. BIG DATA systems make pedagogical decisions based on average student performance. Decision making in AuthorIT and TutorIT is designed to model the human…
Descriptors: Intelligent Tutoring Systems, Decision Making, Knowledge Representation, Learning Theories
Beauvais, Clémentine – History of Education Quarterly, 2017
This article focuses on teachers in the discourses of early twentieth-century proponents of intelligence testing in America. Teachers were often a targeted enemy in the academic literature on intelligence testing--their methods belittled, their unreliability emphasized. Yet, in part because teachers were essential for intelligence tests to be…
Descriptors: Intelligence Tests, Teacher Attitudes, Educational History, Discourse Analysis
Ward, Monica – Research-publishing.net, 2017
The term Intelligent Computer Assisted Language Learning (ICALL) covers many different aspects of CALL that add something extra to a CALL resource. This could be with the use of computational linguistics or Artificial Intelligence (AI). ICALL tends to be not very well understood within the CALL community. There may also be the slight fear factor…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computational Linguistics, Natural Language Processing
McCarthy, Matthew T. – ProQuest LLC, 2017
Artificial intelligence (AI) that is based upon semantic search has become one of the dominant means for accessing information in recent years. This is particularly the case in mobile contexts, as search-based AI are embedded in each of the major mobile operating systems. The implications are such that information is becoming less a matter of…
Descriptors: Semantics, Translation, Computer Mediated Communication, Artificial Intelligence

Peer reviewed
Direct link
