Publication Date
| In 2026 | 0 |
| Since 2025 | 2704 |
| Since 2022 (last 5 years) | 7571 |
| Since 2017 (last 10 years) | 11437 |
| Since 2007 (last 20 years) | 16767 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Researchers | 637 |
| Practitioners | 604 |
| Teachers | 548 |
| Administrators | 151 |
| Policymakers | 121 |
| Students | 101 |
| Parents | 64 |
| Counselors | 36 |
| Media Staff | 16 |
| Support Staff | 13 |
| Community | 9 |
| More ▼ | |
Location
| China | 618 |
| Turkey | 482 |
| Canada | 406 |
| Australia | 383 |
| United Kingdom | 351 |
| United States | 337 |
| Germany | 273 |
| Spain | 246 |
| India | 241 |
| Netherlands | 239 |
| California | 205 |
| 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 |
Cherner, Todd; Fegely, Alex; Hou, Chenyu; Halpin, Peter – Journal of Interactive Learning Research, 2023
Skilled orators and their public speaking skills have been held in high esteem since antiquity. Artificial intelligence-powered presentation platforms (AI-PPPs) are an emerging educational technology that provides a virtual venue and AI audience for users to practice a presentation or pitch and receive feedback to improve their public speaking…
Descriptors: Artificial Intelligence, Teaching Methods, Public Speaking, Educational Technology
Sarker Monojit Asish – ProQuest LLC, 2023
Virtual Reality (VR) has been found useful to improve engagement and retention level of students, for some topics, compared to traditional learning tools such as books, and videos. However, a student could still get distracted and disengaged due to a variety of factors including stress, mind-wandering, unwanted noise, external alerts, and internal…
Descriptors: Students, Attention Control, Computer Simulation, Artificial Intelligence
Kelli Bird – Association for Institutional Research, 2023
Colleges are increasingly turning to predictive analytics to identify "at-risk" students in order to target additional supports. While recent research demonstrates that the types of prediction models in use are reasonably accurate at identifying students who will eventually succeed or not, there are several other considerations for the…
Descriptors: Prediction, Data Analysis, Artificial Intelligence, Identification
Breit, Moritz; Brunner, Martin; Preckel, Franzis – Developmental Psychology, 2021
Differentiation hypotheses concern changes in the structural organization of cognitive abilities that depend on the level of general intelligence (ability differentiation) or age (developmental differentiation). Part 1 of this article presents a review of the literature on ability and developmental differentiation effects in children, revealing…
Descriptors: Cognitive Ability, Age Differences, Child Development, Elementary School Students
Lifshit, Hefziba Batya; Bustan, Noa; Shnitzer-Meirovich, Shlomit – Journal of Applied Research in Intellectual Disabilities, 2021
Goals: This study examined: (a) crystallized/fluid intelligence trajectories of adolescents and adults with Down syndrome; and (b) the contribution of endogenous (health, activities of daily living--ADL) and exogenous (cognitively stimulating leisure activities) factors on adults' intelligence with age. Method: Four cohorts (N = 80) with Down…
Descriptors: Down Syndrome, Adolescents, Adults, Health Behavior
Austerberry, Chloe; Fearon, Pasco; Ronald, Angelica; Leve, Leslie D.; Ganiban, Jody M.; Natsuaki, Misaki N.; Shaw, Daniel S.; Neiderhiser, Jenae M.; Reiss, David – Child Development, 2022
Intellectual performance is highly heritable and robustly predicts lifelong health and success but the earliest manifestations of genetic effects on this asset are not well understood. This study examined whether early executive function (EF) or verbal performance mediate genetic influences on subsequent intellectual performance, in 561 U.S.-based…
Descriptors: Child Development, Intelligence, Genetics, Executive Function
Valente, Sabina; Lourenço, Abílio Afonso; Dominguez-Lara, Sergio; Derakhshan, Ali; Németh, Zsolt; Almeida, Leando S. – Australian Journal of Teacher Education, 2022
It has been postulated that emotions play essential roles in conflict situations and that excessive expression of emotions or inappropriate display can reduce the capacity to manage conflict. However, there is a lack of research that relates teachers' emotionregulation ability to managing conflict. To bridge this gap, this pilot study aimed to…
Descriptors: Foreign Countries, Emotional Intelligence, Intelligence Tests, Elementary School Teachers
Brandt, Naemi D.; Lechner, Clemens M. – Journal of Intelligence, 2022
Fluid intelligence and conscientiousness are important predictors of students' academic performance and competence gains. Although their individual contributions have been widely acknowledged, less is known about their potential interplay. Do students profit disproportionately from being both smart and conscientious? We addressed this question…
Descriptors: Intelligence, Personality Traits, Individual Characteristics, Predictor Variables
Nguyen, Phuong Lan Thi; Nguyen, Cuong Huu; Dang, Cuong Xuan; Duong, Huong Thu Thi – Journal of Language and Linguistic Studies, 2022
Intellectual development means the growth of a child's ability to think and reason. It's about how they organize their minds, ideas and thoughts to make sense of the world they live in. The government of Vietnam requests the education sector to develop hidden competencies of students, particular young learners. This study therefore analyses…
Descriptors: Intelligence, Intellectual Development, Vietnamese People, Correlation
Corazza, Giovanni Emanuele; Lubart, Todd – Journal of Intelligence, 2021
This theoretical article proposes a unified framework of analysis for the constructs of intelligence and creativity. General definitions for intelligence and creativity are provided, allowing fair comparisons between the two context-embedded constructs. A novel taxonomy is introduced to classify the contexts in which intelligent and/or creative…
Descriptors: Intelligence, Creativity, Taxonomy, Time
Pan, Yiqin; Wollack, James A. – Journal of Educational Measurement, 2021
As technologies have been improved, item preknowledge has become a common concern in the test security area. The present study proposes an unsupervised-learning-based approach to detect compromised items. The unsupervised-learning-based compromised item detection approach contains three steps: (1) classify responses of each examinee as either…
Descriptors: Test Items, Cheating, Artificial Intelligence, Identification
Blaizot, Aymeric; Veettil, Sajesh K.; Saidoung, Pantakarn; Moreno-Garcia, Carlos Francisco; Wiratunga, Nirmalie; Aceves-Martins, Magaly; Lai, Nai Ming; Chaiyakunapruk, Nathorn – Research Synthesis Methods, 2022
The exponential increase in published articles makes a thorough and expedient review of literature increasingly challenging. This review delineated automated tools and platforms that employ artificial intelligence (AI) approaches and evaluated the reported benefits and challenges in using such methods. A search was conducted in 4 databases…
Descriptors: Artificial Intelligence, Literature Reviews, Databases, Data Analysis
Buckley, Jeffrey – International Journal of Technology and Design Education, 2022
General intelligence is a fundamental human capacity with significant educational implications. However, it is often not considered in educational research despite substantial evidence illustrating its association with positive life outcomes and student's capacity to learn. There are a number of potential reasons for this including the…
Descriptors: Intelligence, Design, Technology Education, Educational Research
Alzubi, Emad Mohamad; Attiat, Madher Mohammad; Al-Adamat, Omar Atallah – Cypriot Journal of Educational Sciences, 2022
This study aimed to investigate the role of systemic intelligence factors in explaining cognitive flexibility and cognitive holding power among university students using measures of the aforementioned phenomena. A random sample of (519) students participated in this research, and it was found that factors relating to systemic intelligence could…
Descriptors: Intelligence, Predictor Variables, Cognitive Ability, College Students
Freis, Samantha M.; Morrison, Claire L.; Lessem, Jeffrey M.; Hewitt, John K.; Friedman, Naomi P. – Developmental Science, 2022
Executive functions (EFs) and intelligence (IQ) are phenotypically correlated. In twin studies, latent variables for EFs and IQ display moderate to high heritability estimates; however, they show variable genetic correlations in twin studies spanning childhood to middle age. We analyzed data from over 11,000 children (9- to 10-year-olds, including…
Descriptors: Genetics, Environmental Influences, Executive Function, Intelligence

Peer reviewed
Direct link
