Publication Date
In 2025 | 100 |
Since 2024 | 488 |
Since 2021 (last 5 years) | 1530 |
Since 2016 (last 10 years) | 3417 |
Since 2006 (last 20 years) | 11368 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
Practitioners | 2712 |
Teachers | 2191 |
Researchers | 525 |
Administrators | 470 |
Policymakers | 230 |
Students | 161 |
Media Staff | 95 |
Parents | 94 |
Community | 18 |
Counselors | 17 |
Support Staff | 11 |
More ▼ |
Location
Australia | 681 |
United Kingdom | 568 |
Turkey | 531 |
Canada | 511 |
United States | 286 |
Taiwan | 256 |
California | 245 |
Texas | 216 |
China | 175 |
United Kingdom (England) | 163 |
Germany | 162 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Meets WWC Standards without Reservations | 5 |
Meets WWC Standards with or without Reservations | 11 |
Does not meet standards | 15 |
Martin Sigot; Sebastian Tassoti – Journal of Chemical Education, 2025
With the emergence of generative artificial intelligence (GenAI) and ChatGPT, individualization of learning pathways was discussed in the educational context. One way to achieve customization is the use of specialized versions of ChatGPT--so-called GPTs. Those GPTs are publicly available and used daily by thousands of people worldwide. In this…
Descriptors: Artificial Intelligence, Chemistry, Computer Uses in Education, Science Education
Meryem Konu Kadirhanogullari – Journal of Science Learning, 2024
This study aims to examine the studies on computer-assisted teaching in science teaching in terms of different variables with bibliometric analysis. Scopus database was used to collect the data. The phrase "science education and computer-assisted teaching" was written in Scopus on 11_07_2023, and 1232 publications were found. Since not…
Descriptors: Computer Assisted Instruction, Science Education, Bibliometrics, Computer Use
Hanchen David Wang; Siwoo Bae; Xutong Sun; Yashvitha Thatigotla; Meiyi Ma – Grantee Submission, 2025
Wearable sensor technology has significantly enhanced healthcare quality, including physical therapy. However, due to the design of current deep learning models, existing works often ignore the unique variations of rest intervals between repetitions and variations in individual user progress, potentially hindering effective therapy outcomes. To…
Descriptors: Physical Therapy, Exercise, Artificial Intelligence, Measurement Equipment
Katie Day Good; Michelle Ciccone – Journal of Media Literacy Education, 2025
In this essay, we introduce "media quiteracy," which we use to conceptualize and describe the valuable learning that can happen through the refusal to take up new media or the act of pausing or ceasing its use. We see media quiteracy as an active and generative approach to learning and argue for its inclusion in the media literacy…
Descriptors: Media Literacy, Digital Literacy, Computer Use, Resistance (Psychology)
Akif Avcu – Malaysian Online Journal of Educational Technology, 2025
This scope-review presents the milestones of how Hierarchical Rater Models (HRMs) become operable to used in automated essay scoring (AES) to improve instructional evaluation. Although essay evaluations--a useful instrument for evaluating higher-order cognitive abilities--have always depended on human raters, concerns regarding rater bias,…
Descriptors: Automation, Scoring, Models, Educational Assessment
Oriane Pierrès; Alireza Darvishy; Markus Christen – Education and Information Technologies, 2025
The release of a free generative artificial intelligence (GAI), ChatGPT, in November 2022 has opened up numerous opportunities for students with disabilities in higher education. While the transformative impact of GAI on teaching and learning in general is being debated intensively, little attention has been given to its potential for fostering or…
Descriptors: Artificial Intelligence, Computer Uses in Education, College Students, Students with Disabilities
Ömer Faruk Tutar; Fatih Harun Turhan – Shanlax International Journal of Education, 2023
In this study, the aim is to elucidate the relationship between digital technologies and the concept of leisure time. Digital leisure time can be defined as the time spent by individuals using digital tools and platforms for entertainment, recreation, acquiring knowledge, communication, socialization, and escaping from a negative mood state during…
Descriptors: Leisure Time, Recreational Activities, Information Technology, Computer Use
Francesca Patterson; Melina A. Kunar – Cognitive Research: Principles and Implications, 2024
Computer Aided Detection (CAD) has been used to help readers find cancers in mammograms. Although these automated systems have been shown to help cancer detection when accurate, the presence of CAD also leads to an over-reliance effect where miss errors and false alarms increase when the CAD system fails. Previous research investigated CAD systems…
Descriptors: Cancer, Computer Use, Identification, Screening Tests
Karahan, Muhammed Baran; Kaya, Oktay – African Educational Research Journal, 2023
This research was conducted to determine the attitudes of university students with different socio-economic structures towards information and communication technologies, using information and communication technologies (ICT), which are increasingly used in our daily life, by using a descriptive survey model and survey method. Günbatar (2014) and…
Descriptors: Student Attitudes, College Students, Socioeconomic Status, Physical Education
Investigation of the Relationship between Nomophobia and Social Studies Teachers' Social Network Use
Fatih Pala – Malaysian Online Journal of Educational Technology, 2023
The smartphones we use in every aspect of our lives can be accessed anywhere without the limitation of physical space. This situation has led to excessive use of smartphones. Individuals, when unable to access their smartphones, experience anxiety and distress, revealing their nomophobic tendencies. Additionally, the availability of internet…
Descriptors: Telecommunications, Handheld Devices, Anxiety, Computer Use
Chengliang Wang; Xiaojiao Chen; Zhebing Hu; Sheng Jin; Xiaoqing Gu – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, as a cutting-edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and educational equity. Existing studies have not fully explored learners' intentions to adopt artificial intelligence generated content (AIGC) technology, highlighting the need…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Computer Uses in Education
Yu-Ju Lan; Kai-Yu Tang – Educational Technology & Society, 2025
Research into the use of virtual reality (VR) for educational purposes is increasing, but most of the existing literature focuses on the positive effects of VR on users, with its possible negative effects remaining underexplored. An inadequate understanding of the negative effects can put users at risk. To address this research gap, the main…
Descriptors: Computer Simulation, Computer Uses in Education, Risk, Outcomes of Education
Zhipeng Zhou; Ziyao Zhang; Ying Lu; Zilong Wang; Jianqiang Cui; Guodong Ni – Education and Information Technologies, 2024
For working students, reconciling work and school lives is a major challenge. Emerging ubiquitous information and communication technologies (ICTs) further exacerbate this challenge, as a constant connection to work via ICTs blurring the boundaries between work and school domains. While the influence of ICTs on users' work and personal lives has…
Descriptors: Information Technology, Student Employment, Coping, Computer Use
Turalbayeva, Almash; Zhubandykova, Akgul; Nabuova, Roza; Buzaubakova, Klara; Mailybaeva, Gulmira; Abdullina, Gulzhan – World Journal on Educational Technology: Current Issues, 2021
The aim of this research is to evaluate the formation of students' knowledge culture through information technology with student views. In the research, qualitative methods were used to collect the data, and the content analysis method was used for the analysis of the data. The data were collected by the researcher through semi-structured…
Descriptors: Foreign Countries, Elementary School Students, Grade 4, Computer Uses in Education
Nana A. Kwofie; Xanne Janssen; John J. Reilly – Journal of Motor Learning and Development, 2025
Background: Several studies have reported low adherence to World Health Organization sedentary behavior (SB) guidelines in the early years. The purpose of this review is to examine the associations between time spent in different types of SB (screen time and habitual SB) and motor competence (MC; fundamental motor skills, fine and gross motor…
Descriptors: Preschool Children, Computer Use, Television Viewing, Physical Activity Level