Publication Date
| In 2026 | 11 |
| Since 2025 | 2873 |
| Since 2022 (last 5 years) | 7741 |
| Since 2017 (last 10 years) | 11607 |
| Since 2007 (last 20 years) | 16937 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Researchers | 639 |
| Practitioners | 606 |
| Teachers | 553 |
| Administrators | 154 |
| Policymakers | 125 |
| Students | 102 |
| Parents | 64 |
| Counselors | 36 |
| Media Staff | 16 |
| Support Staff | 13 |
| Community | 9 |
| More ▼ | |
Location
| China | 620 |
| Turkey | 485 |
| Canada | 410 |
| Australia | 386 |
| United Kingdom | 355 |
| United States | 338 |
| Germany | 274 |
| Spain | 249 |
| India | 244 |
| Netherlands | 240 |
| California | 206 |
| 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 |
Henry Richard Saylor-Scheetz – ProQuest LLC, 2021
The purpose of this study quantitative correlational research was to examine if and to what extent one or more of teachers' emotional intelligence (EI) abilities of perceiving, using, understanding, and managing, as measured by the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT), predicted practicing teachers' performance (PTP), as…
Descriptors: Teacher Characteristics, Emotional Intelligence, Teacher Competencies, Elementary School Teachers
Dorothiann Elizabeth Martin – ProQuest LLC, 2021
This dissertational work provides an analysis between school leader emotional intelligence and academic achievement using selected indicators of student achievement in Alabama high schools. Emotional intelligence levels were measured by administering "The Shutte Self-Report Emotional Intelligence Test to" willing high school principal…
Descriptors: Principals, Emotional Intelligence, Academic Achievement, Correlation
Rajkumar, R.; Hema, G. – Journal on Educational Psychology, 2018
Academic achievement is very important in any educational setting, as it indicates the level of students' competence in respect of the academic content. This is obviously defined in terms of performance which represents the most understandable and regularly accepted pointer of performance in educational contexts (Ladipo & Gbotosho, 2015).…
Descriptors: Intelligence, Mathematics Achievement, Undergraduate Students, Mathematics Tests
Flensborg-Madsen, Trine; Mortensen, Erik Lykke – Developmental Psychology, 2018
Few studies have investigated associations of milestone development in early childhood with intelligence in adulthood in typically developing children. The current study is an extension of 2 previous studies on smaller samples and investigated associations of age at attainment of 32 developmental milestones attained between 0 and 3 years of age…
Descriptors: Predictor Variables, Adults, Intelligence, Intelligence Tests
Emiko Tsutsumi; Yiming Guo; Ryo Kinoshita; Maomi Ueno – IEEE Transactions on Learning Technologies, 2024
Knowledge tracing (KT), the task of tracking the knowledge state of a student over time, has been assessed actively by artificial intelligence researchers. Recent reports have described that Deep-IRT, which combines item response theory (IRT) with a deep learning method, provides superior performance. It can express the abilities of each student…
Descriptors: Item Response Theory, Academic Ability, Intelligent Tutoring Systems, Artificial Intelligence
Tuija Aro; Ahmet Bilal Özbek; Minna Torppa – Annals of Dyslexia, 2024
We studied the associations between childhood-identified learning disabilities and adult-age mental health and whether adult-age reading and math skills, coping styles, or resilience influenced the associations. The participants were 159 Finnish adults (60.4% males). Of them, 48 (30%) had a reading disability (RD), 22 (14%) had a math disability…
Descriptors: Adults, Foreign Countries, Learning Disabilities, Intelligence Quotient
Heather Johnston; Rebecca F. Wells; Elizabeth M. Shanks; Timothy Boey; Bryony N. Parsons – International Journal for Educational Integrity, 2024
The aim of this project was to understand student perspectives on generative artificial intelligence (GAI) technologies such as Chat generative Pre-Trained Transformer (ChatGPT), in order to inform changes to the University of Liverpool Academic Integrity code of practice. The survey for this study was created by a library student team and vetted…
Descriptors: Artificial Intelligence, Higher Education, Student Attitudes, Universities
Seyum Getenet – International Electronic Journal of Mathematics Education, 2024
This study compared the problem-solving abilities of ChatGPT and 58 pre-service teachers (PSTs) in solving a mathematical word problem using various strategies. PSTs were asked to solve a problem individually. Data was collected from PSTs' submitted assignments, and their problem-solving strategies were analyzed. ChatGPT was also given the same…
Descriptors: Problem Solving, Ability, Preservice Teachers, Artificial Intelligence
Academic Integrity in the Age of Generative AI: Perceptions and Responses of Vietnamese EFL Teachers
Ngo Cong-Lem; Tin Nghi Tran; Tat Thang Nguyen – Teaching English with Technology, 2024
This study examines the perceptions and responses of Vietnamese teachers of English as a Foreign Language (EFL) to academic integrity concerns that arise from the use of AI, specifically chatbots like ChatGPT, in foreign language education. The study employed an open-ended survey to collect data from 31 Vietnamese EFL teachers who were asked to…
Descriptors: Foreign Countries, English (Second Language), Language Teachers, Second Language Instruction
Sahin Gökçearslan; Cansel Tosun; Zeynep Gizem Erdemir – International Journal of Technology in Education, 2024
In many fields, AI chatbots continue to be popular with new tools and attract the attention of universities, K12 schools, educational organizations, and researchers. The aim of this research is to review the research on AI chatbots by restricting it to the category of education and to examine this research from a methodological point of view.…
Descriptors: Artificial Intelligence, Synchronous Communication, Technology Uses in Education, Educational Technology
Selim Çavus; Mükerrem Yilmaz – Turkish Online Journal of Educational Technology - TOJET, 2024
The field of advertising has a structure that shapes consumer preferences and behaviors. The field of advertising undertakes the tasks of reflecting cultural values and norms, reinforcing or changing gender roles, and supporting social responsibility and campaigns. In addition, advertising, whose main purpose is sales, has a structure that shapes…
Descriptors: College Students, Artificial Intelligence, Advertising, Influence of Technology
Fethiye Kilicaslan; Ali Evren Tufan – International Journal of Developmental Disabilities, 2024
Objective: To determine the demographic and clinical characteristics of children followed up with the diagnosis of autism spectrum disorder (ASD) at a tertiary center in Southeeast Turkey. Methods: Children followed up with the diagnosis of ASD at a university hospital child psychiatry clinic between June 2016 and June 2021 were evaluated…
Descriptors: Autism Spectrum Disorders, Children, Individual Characteristics, Symptoms (Individual Disorders)
Pieter Vanneste; Kim Dekeyser; Luis Alberto Pinos Ullauri; Dries Debeer; Frederik Cornillie; Fien Depaepe; Annelies Raes; Wim Van den Noortgate; Sameh Said-Metwaly – Journal of Computer Assisted Learning, 2024
Background: Augmented reality (AR) is receiving increasing interest as a tool to create an interactive and motivating learning environment. Yet, it is unclear how instructional support affects performance in AR. Objectives: This study sought to explore how varying the instructional support in AR can affect performance-related behaviours of…
Descriptors: Computer Simulation, Artificial Intelligence, Cognitive Ability, Student Behavior
Zhihan Lv Ed. – IGI Global, 2024
The rapid adoption of deep learning models has resulted in many business services becoming model services, yet most AI systems lack the necessary automation and industrialization capabilities. This leads to heavy reliance on manual operation and maintenance, which not only consumes power but also causes resource wastage and stability issues during…
Descriptors: Artificial Intelligence, Robotics, Computer Software, Problem Solving
Fatima Viteri; Monserrath Pazmiño – Applied Environmental Education and Communication, 2024
This study developed a local climate change curriculum that incorporates generative learning strategies and emphasizes the creation of visually engaging educational content. The curriculum's impact was assessed by examining generative learning through recall and knowledge transfer, as well as declarative knowledge across elementary students with…
Descriptors: Environmental Education, Climate, Science Curriculum, Learning Strategies

Direct link
Peer reviewed
