Publication Date
| In 2026 | 25 |
| Since 2025 | 2985 |
| Since 2022 (last 5 years) | 7853 |
| Since 2017 (last 10 years) | 11719 |
| Since 2007 (last 20 years) | 17049 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Researchers | 640 |
| Practitioners | 606 |
| Teachers | 555 |
| Administrators | 154 |
| Policymakers | 126 |
| Students | 103 |
| Parents | 64 |
| Counselors | 36 |
| Media Staff | 16 |
| Support Staff | 13 |
| Community | 9 |
| More ▼ | |
Location
| China | 624 |
| Turkey | 490 |
| Canada | 410 |
| Australia | 389 |
| United Kingdom | 355 |
| United States | 340 |
| Germany | 277 |
| India | 250 |
| Spain | 250 |
| 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 |
Rosa de Las Heras-Fernández; María Jesús Cuellar-Moreno; María Espada Mateos; Juana María Anguita Acero – Research in Dance Education, 2025
Choosing a Teaching Style is an important decision which affects the different elements of teaching, as well as the students, both men and women. Consequently, this study aims at determining the differences that exist in the emotional intelligence skills in learning dance depending on students' sex, analysing the preferences for the Command…
Descriptors: Teaching Styles, College Students, Dance Education, College Faculty
Connie Anderson; Caroline I. Wood; Leah Franklin; Alan Iampieri; Clare Sarsony – Journal of Autism and Developmental Disorders, 2025
Purpose: To explore the perspectives of educators, parents, and individuals on the autism spectrum regarding the qualities of teachers best equipped to support autistic students. Methods: In qualitative interviews parents of autistic adults (n = 35) discussed experiences they and their child faced during the school years, as did young autistic…
Descriptors: Autism Spectrum Disorders, Adolescents, Teacher Student Relationship, Teacher Characteristics
Ece Avinç; Fatih Dogan – Journal of Interdisciplinary Studies in Education, 2025
Metaverse in education has the potential to transform education by providing students with interactive, immersive and personalized learning experiences. This study examined the impact of Metaverse on the perceptions of pre-service science teachers. The study was designed in two stages. In the first stage, semi-structured preliminary interview…
Descriptors: Preservice Teachers, Science Teachers, Technology Uses in Education, Computer Simulation
Sean Guo; Briony Swire-Thompson; Xiaoqing Hu – Cognitive Research: Principles and Implications, 2025
Images generated using artificial intelligence (AI) have become increasingly realistic, sparking discussions and fears about an impending "infodemic" where we can no longer trust what we see on the internet. In this preregistered study, we examine whether providing specific media literacy tips about how to spot AI-generated images can…
Descriptors: Media Literacy, Artificial Intelligence, Technology Uses in Education, Visual Stimuli
Orit Oved; Dorit Alt – Education and Information Technologies, 2025
As AI increasingly permeates education, understanding teachers' perceptions and interactions with these technologies is essential. The Technological Pedagogical Content Knowledge (TPACK) framework provides a comprehensive lens to examine these interactions with educational AI tools (EAITs). This study explored the factors influencing teachers'…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Technology Uses in Education, Technology Integration
Munish Saini; Eshan Sengupta; Naman Sharma – Education and Information Technologies, 2025
To be an effective teacher, one must possess strong learning abilities. Developing lesson planning, pursuing learning objectives, and assessing post-lesson accomplishments all these depend on reflection and ongoing learning. As education is context-specific, the iterative process of preparing, reflecting, and improving is what makes teaching…
Descriptors: Artificial Intelligence, Technology Uses in Education, Nonverbal Communication, Feedback (Response)
Aicha Er-Rafyg; Abdellah Idrissi; Kaoutar El Handri – International Journal of Learning Technology, 2025
In today's digital age, online courses have become a valuable tool for learners to acquire new skills and knowledge. The global outbreak of COVID-19 has further accelerated the adoption of online learning as education service providers are forced to move their courses online to ensure the continuity of education. However, with many online courses,…
Descriptors: Technology Uses in Education, Online Courses, Artificial Intelligence, Information Systems
Shan Zhang; Priyadharshini Ganapathy Prasad; Noah L. Schroeder – Journal of Educational Computing Research, 2025
Given the ubiquity of artificial intelligence (AI), it is essential to empower students to become creators, designers, and producers of AI technologies, rather than limiting them to the role of informed consumers. To achieve this, learners need to be equipped with AI knowledge and concepts and develop AI literacy. Paradoxically, it is largely…
Descriptors: Artificial Intelligence, Technological Literacy, Teaching Methods, Instructional Materials
Seyed Parsa Neshaei; Paola Mejia-Domenzain; Richard Lee Davis; Tanja Käser – British Journal of Educational Technology, 2025
Reflective writing is known as a useful method in learning sciences to improve the metacognitive skills of students. However, students struggle to structure their reflections properly, limiting the possible learning gains. Previous works in educational technologies literature have explored the paradigms of learning from worked and modelling…
Descriptors: Artificial Intelligence, Technology Uses in Education, Reflection, Writing (Composition)
Hyunkyung Chee; Solmoe Ahn; Jihyun Lee – British Journal of Educational Technology, 2025
This study aims to develop a comprehensive competency framework for artificial intelligence (AI) literacy, delineating essential competencies and sub-competencies. This framework and its potential variations, tailored to different learner groups (by educational level and discipline), can serve as a crucial reference for designing and implementing…
Descriptors: Competence, Digital Literacy, Artificial Intelligence, Technology Uses in Education
Shalander Samuels; Alecia Blackwood – Language and Literacy Spectrum, 2025
There has been an increase in the number of English Language Learners (ELs) and, therefore, an increase in the number of linguistic diversities in the general classroom nationwide (Clark-Gareca et al., 2020; Cullen, 2015). Technology has been utilized to promote and support English Learners' success as it can be a significant tool for scaffolding…
Descriptors: Artificial Intelligence, English Learners, Technology Integration, Literacy Education
Simin Xu; Yanfang Su; Kanglong Liu – Education and Information Technologies, 2025
Despite the well-established importance of feedback in education, the application of Artificial Intelligence (AI)-generated feedback, particularly from language models like ChatGPT, remains understudied in translation education. This study investigates the engagement of Master's students in translation with ChatGPT-generated feedback during their…
Descriptors: Learner Engagement, Artificial Intelligence, Translation, Revision (Written Composition)
Weijian Yan; Victoria L. Lowell – TechTrends: Linking Research and Practice to Improve Learning, 2025
Virtual Reality (VR) has been utilized in foreign language education for over 50 years, and it has gone through four distinct stages in foreign language education: Two-dimensional (2D) text-based VR, three-dimensional (3D) desktop-based VR, 3D HMD-based VR, and AI-enhanced 3D HMD-based VR. Drawing on relevant studies and examples, this article…
Descriptors: Computer Simulation, Second Language Instruction, Second Language Learning, Artificial Intelligence
Sidney Pehrson; Tyson J. Sorensen; Matthew J. Wood; Michelle S. Burrows; Joseph Furse – Journal of Agricultural Education, 2025
Artificial Intelligence (AI) has garnered attention as an innovative technology, revolutionizing various components of society, including education. The new technology can potentially improve efficiency and reduce burdens placed on teachers, but AI in educational settings may also have negative consequences. This quantitative survey research study…
Descriptors: Artificial Intelligence, Teacher Attitudes, Technology Uses in Education, Agricultural Education
Nitzan Elyakim – Education and Information Technologies, 2025
This study examines educators' perceptions of adopting Generative Artificial Intelligence (GenAI) tools in education through the lens of the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model. Using structural equation modeling (SEM) on data collected from 490 participants, the research investigates: (a) the extent to which…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Teacher Attitudes

Peer reviewed
Direct link
