Publication Date
| In 2025 | 1058 |
| Since 2024 | 4649 |
| Since 2021 (last 5 years) | 11869 |
| Since 2016 (last 10 years) | 22689 |
| Since 2006 (last 20 years) | 31729 |
Descriptor
| Technology Uses in Education | 32915 |
| Educational Technology | 17160 |
| Foreign Countries | 13192 |
| Teaching Methods | 9135 |
| Student Attitudes | 6009 |
| Technology Integration | 4867 |
| Teacher Attitudes | 4208 |
| College Students | 4034 |
| Handheld Devices | 3766 |
| Higher Education | 3690 |
| Electronic Learning | 3650 |
| More ▼ | |
Source
Author
| Seaman, Jeff | 64 |
| Seaman, Julia E. | 52 |
| Hwang, Gwo-Jen | 41 |
| Selwyn, Neil | 32 |
| Johnson, L. | 29 |
| Teo, Timothy | 29 |
| Tsai, Chin-Chung | 28 |
| Bouck, Emily C. | 27 |
| Adams Becker, S. | 26 |
| McNamara, Danielle S. | 25 |
| Gwo-Jen Hwang | 24 |
| More ▼ | |
Publication Type
Education Level
Audience
| Teachers | 872 |
| Policymakers | 217 |
| Administrators | 202 |
| Practitioners | 161 |
| Researchers | 161 |
| Students | 124 |
| Parents | 43 |
| Media Staff | 34 |
| Counselors | 15 |
| Community | 12 |
| Support Staff | 7 |
| More ▼ | |
Location
| Turkey | 1276 |
| Australia | 1064 |
| China | 772 |
| United Kingdom | 667 |
| Canada | 628 |
| United States | 566 |
| Indonesia | 464 |
| South Africa | 462 |
| Spain | 447 |
| Taiwan | 439 |
| India | 410 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 12 |
| Meets WWC Standards with or without Reservations | 25 |
| Does not meet standards | 10 |
Peer reviewed
Direct linkStefan Küchemann; Karina E. Avila; Yavuz Dinc; Chiara Hortmann; Natalia Revenga; Verena Ruf; Niklas Stausberg; Steffen Steinert; Frank Fischer; Martin Fischer; Enkelejda Kasneci; Gjergji Kasneci; Thomas Kuhr; Gitta Kutyniok; Sarah Malone; Michael Sailer; Albrecht Schmidt; Matthias Stadler; Jochen Weller; Jochen Kuhn – npj Science of Learning, 2025
Recently, the option to use large language models as a middleware connecting various AI tools and other large language models led to the development of so-called large multimodal foundation models, which have the power to process spoken text, music, images and videos. In this overview, we explain a new set of opportunities and challenges that…
Descriptors: Artificial Intelligence, Technology Uses in Education, Models, Intermode Differences
Luis Medina-Gual; José-Luis Parejo – European Journal of Education, 2025
The present research explores AI's impact on education among Mexican undergraduate students through a non-experimental, correlational, cross-sectional study. A validated public questionnaire was distributed to 840 students via Google Forms from February to May 2024. Analysis revealed significant AI exposure and use patterns, primarily influenced…
Descriptors: Artificial Intelligence, Teaching Methods, Ethics, Learning Processes
Download full textJiaxin Ren; Yee Hock Tan; Juncheng Guo – International Journal of Technology in Education, 2025
The metaverse is a virtual reality space that provides a novel and significant environment, fostering educational opportunities and serving as a rich platform for innovative forms of learning. This bibliometric analysis uses the Scopus database as a source for review, employing the PRISMA method to identify 270 articles, with visualisation…
Descriptors: Educational Research, Journal Articles, Computer Simulation, Artificial Intelligence
Nan Xie; Zhengxu Li; Haipeng Lu; Wei Pang; Jiayin Song; Beier Lu – IEEE Transactions on Learning Technologies, 2025
Classroom engagement is a critical factor for evaluating students' learning outcomes and teachers' instructional strategies. Traditional methods for detecting classroom engagement, such as coding and questionnaires, are often limited by delays, subjectivity, and external interference. While some neural network models have been proposed to detect…
Descriptors: Learner Engagement, Artificial Intelligence, Technology Uses in Education, Educational Technology
Mohamed Ali Nagy Elmaadaway; Mohamed Elsayed El-Naggar; Mohamed Radwan Ibrahim Abouhashesh – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence (AI) made substantial progress with language recognition. Proficiency in spoken English reading is a prerequisite for fluency in written English. However, research on its use, especially for non-native speakers, is lacking despite increased usage. Objectives: This study aimed to enhance the oral reading fluency…
Descriptors: Artificial Intelligence, Reading Fluency, Elementary School Students, Oral Reading
Haley L. Nation; Carrie Elzie – Anatomical Sciences Education, 2025
This discursive article explores the integration of digital storytelling into an occupational therapy gross anatomy course as a novel pedagogical approach to deepen students' understanding of the functional significance of hand anatomy. Digital storytelling utilizes technology to produce self-narrated meaningful stories and presentations that…
Descriptors: Occupational Therapy, Allied Health Occupations Education, Anatomy, Teaching Methods
Abhishek N.; Abhinandan Kulal; Divyashree M.S.; Sahana Dinesh – Journal of Research in Innovative Teaching & Learning, 2025
Purpose: The study is aimed at analyzing the perceptions of students and teachers regarding the effectiveness of massive open online courses (MOOCs) on learning efficiency of students and also evaluating MOOCs as an ideal tool for designing a blended model for education. Design/methodology/approach: The analysis was carried out by using the data…
Descriptors: MOOCs, Student Attitudes, Teacher Attitudes, Program Effectiveness
Habeeb Yusuf; Arthur Money; Damon Daylamani-Zad – Educational Technology Research and Development, 2025
The ever-changing global educational landscape, coupled with the advancement of Web3, is seeing rapid changes in the ways pedagogical artificially intelligent conversational agents are being developed and used to advance teaching and learning in higher education. Given the rapidly evolving research landscape, there is a need to establish what the…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Higher Education
Sarah T. Zipf; Tehniyet Azam; Chuaho Wu – Journal on Excellence in College Teaching, 2025
Technostress--or the constant connection, disruption, distraction, and need to learn caused by new technology--can make instructors feel overwhelmed, tired, or disengaged, impacting their ability to teach. As institutions continue to invest resources for growing their technology portfolios, the authors investigated how instructor technostress…
Descriptors: Technology Uses in Education, Anxiety, Educational Technology, College Faculty
Chun Liu – Education and Information Technologies, 2024
The objectives of this work are to investigate the impact of automating the student assessment process using the Schoology web-based learning management system as an example and determine its effectiveness and usability by performing a comparative analysis between the survey results of educators and students. The research methodology is based on…
Descriptors: Foreign Countries, College Faculty, College Students, Learning Management Systems
Montessori Life: A Publication of the American Montessori Society, 2024
Wildflower Schools, a network of decentralized "shopfront" Montessori schools, began in 2014, when Sep Kamvar, a MIT Media Lab professor, was unable to find a preschool for his son that fit his needs, and ended up partnering with two veteran Montessori educators, Mary Rockett and Katelyn Shore, to start a school. Wildflower's work is…
Descriptors: Montessori Schools, Technology Uses in Education, Early Childhood Education, Observation
Joanne O'Mara; Glenn Auld; Julianne Lynch; Anne Cloonan – Australian Educational Researcher, 2024
Access and usage of digital technologies is a marker of advantage in Australian schools. This study aims to identify how context impacts upon the enactment of the teaching and leading of the Digital Technologies Curriculum in schools labelled as disadvantaged. The study used a four-fold heuristic of contexts to analyse the work of educators in…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Disadvantaged Schools
Fabio Nascimbeni; Daniel Burgos; James Brunton; Ulf-Daniel Ehlers – Open Learning, 2024
Despite the recognition of the benefits that can be achieved through the use of Open Educational Resources (OER) and, more broadly, Open Educational Practices (OEP), there has been little research on the competences that are needed to enable educators to utilise such practices. To contribute to closing this gap, this paper presents a framework of…
Descriptors: Open Educational Resources, Teaching Methods, Competence, Educational Technology
Brandon Mattalo – Journal of Legal Studies Education, 2024
While it is important to research the negative impact of generative artificial intelligence on academic integrity, academics should focus most of their efforts on the opportunities these technologies present for improving pedagogical practices. In this note, I attempt to flip the narrative from one of fear to one of opportunity. I suggest that…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Technology Integration
Ling Zhao; Raymond A. Dixon; Tonia A. Dousay; Ali Carr-Chellman – TechTrends: Linking Research and Practice to Improve Learning, 2024
The purpose of this phenomenological study was to explore faculty experiences with a professional development (PD) program designed to prepare them for improved online teaching and learning. The primary difference between this PD offering and others similar in content involves using an external vendor. The research question was: how do faculty…
Descriptors: Faculty, Teacher Attitudes, Professional Development, Electronic Learning
