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 |
Yalin Gao; Shuang Bu – Education and Information Technologies, 2024
English has long been regarded as the universal language. Countries that were earlier reluctant to learn English have also changed their stand due to its global reach. The nonnative English speaker's proficiency largely depends on the College English Teaching (CET) and its evaluation methods. Traditional teaching evaluation models failed to…
Descriptors: College English, English Instruction, English Teachers, College Faculty
Gilbert Dizon; John M. Gayed – Cogent Education, 2024
The use of automated writing evaluation (AWE) in second language (L2) writing contexts has increased dramatically, as evidenced by the large body of research published on the topic over the past decade. Considering this, several systematic reviews on AWE have been published. Nevertheless, none of these review studies has exclusively focused on the…
Descriptors: Literature Reviews, Meta Analysis, Second Language Learning, Writing Evaluation
Mehmet Dönmez – International Journal of Assessment Tools in Education, 2024
This bibliometric analysis offers a comprehensive examination of AIbased feedback tools in education, utilizing data retrieved from the Web of Science (WoS) database. Encompassing a total of 239 articles from an expansive timeframe, spanning from inception to February 2024, this study provides a thorough overview of the evolution and current state…
Descriptors: Artificial Intelligence, Feedback (Response), Technology Uses in Education, Individualized Instruction
Deliang Wang; Gaowei Chen – IEEE Transactions on Education, 2024
Contributions: To address the interpretability issues in artificial intelligence (AI)-powered classroom discourse models, we employ explainable AI methods to unpack classroom discourse analysis from deep learning-based models and evaluate the effects of model explanations on STEM teachers. Background: Deep learning techniques have been used to…
Descriptors: Artificial Intelligence, STEM Education, Learning Processes, Technology Uses in Education
Kwaku Darko Amponsah; Inusah Salifu; Rita Yeboah; Priscilla Commey-Mintah – Cogent Education, 2024
Previous research has linked emotional intelligence (EI) to academic performance, albeit mostly in primary and secondary education. This association is unclear for teacher education due to a lack of research, especially in Ghana. This quantitative study examined EI patterns in pre-service teachers at a Ghanaian university to extend previous…
Descriptors: Emotional Intelligence, Academic Achievement, Preservice Teachers, Teacher Education Programs
Nudrat Saleem; Tabish Mufti; Shahab Saquib Sohail; Dag Øivind Madsen – Cogent Education, 2024
In this study, we aim to investigate the potential advantages of integrating the new generative artificial intelligence (AI) technology, ChatGPT, into higher education, specifically within the field of medical education. The focus is on exploring ChatGPT's applications in personalized learning, assessment, and content creation while also…
Descriptors: Technology Uses in Education, Artificial Intelligence, Teaching Methods, Medical Education
Laura Iseut Lafrance St-Martin; Stéphane Villeneuve – Cogent Education, 2024
This paper presents the results of a systematic literature review concerning the actual and future uses of chatbots (artificial conversation agents) in youth bullying cases. The study found that while artificial intelligence is highly regarded as an interesting tool by researchers, the technology is not yet good enough to intervene in crisis…
Descriptors: Artificial Intelligence, Bullying, Children, Adolescents
Deneil D. Christian; Kenny A. Hendrickson; Ameeta Jadav – Interactive Learning Environments, 2024
Cameras may be viewed as an essential tool in online synchronous classes. They may give a sense of connectedness between the students and faculty. In fact, social presence is considered a vital factor in distance education. In our study, we examine faculty's perception of accepted reasons for students to turn off their cameras and perceived…
Descriptors: Video Technology, Electronic Learning, Synchronous Communication, College Faculty
Miriam W. Ndungu – Journal of Information Literacy, 2024
This paper addresses the question of how to introduce basic artificial intelligence (AI) literacy skills to learners in higher education. It proposes that a feasible approach is to integrate AI literacy components into existing media and information literacy (MIL) programmes. The paper discusses elements of intersection between the two literacies,…
Descriptors: Artificial Intelligence, Technological Literacy, Media Literacy, Information Literacy
Randy Connolly – ACM Transactions on Computing Education, 2024
The belief that AI technology is on the cusp of causing a generalized social crisis became a popular one in 2023. While there was no doubt an element of hype and exaggeration to some of these accounts, they do reflect the fact that there are troubling ramifications to this technology stack. This conjunction of shared concerns about social,…
Descriptors: Artificial Intelligence, Computers, Technology Uses in Education, Public Opinion
Lifang Bai; Yijia Wei – IEEE Transactions on Learning Technologies, 2024
ChatGPT can promptly reformulate a text and improve its quality in content and form while preserving the original meaning. Yet, little is known about how learners respond to such reformulations. Here, we employed a three-stage writing task (composing-comparison-rewriting) to investigate how learners notice, integrate, and perceive ChatGPT's…
Descriptors: English (Second Language), Second Language Learning, Writing Evaluation, Artificial Intelligence
Maha Issa; Marwa Faraj; Niveen AbiGhannam – IEEE Transactions on Learning Technologies, 2024
ChatGPT is a newly emerging artificial intelligence (AI) tool that can generate and assess written text. In this study, we aim to examine the extent to which it can correctly identify the structure of literature review sections in engineering research articles. For this purpose, we conducted a manual content analysis by classifying paragraphs of…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Research Reports, Literature Reviews
Ameena L. Payne; Tasha Austin; Aris M. Clemons – Applied Linguistics, 2024
Over the past decade, the artificial intelligence (AI) industry, as it relates to the speech and voice recognition industry, has established itself as a multibillion-dollar global market, but at whose expense? In this forum article, we amplify the current critiques of the architectures of large language models being used increasingly in daily…
Descriptors: Humanization, Dialects, Artificial Intelligence, Racism
Alyssa P. Lawson; Amedee Marchand Martella; Kristen LaBonte; Cynthia Y. Delgado; Fangzheng Zhao; Justin A. Gluck; Mitchell E. Munns; Ashleigh Wells LeRoy; Richard E. Mayer – Educational Psychology Review, 2024
A substantial amount of media comparison research has been conducted in the last decade to investigate whether students learn Science, Technology, Engineering, and Mathematics (STEM) content better in immersive virtual reality (IVR) or more traditional learning environments. However, a thorough review of the design and implementation of…
Descriptors: Mass Media, Comparative Analysis, Artificial Intelligence, STEM Education
Khalida Rauf; Naveed Iqbal – Journal of Education and Educational Development, 2024
This study was conducted to find the relationship of test-anxiety, emotional intelligence and academic performance of public private sector university students. A sample of 388 students, 194 male and 194 females was drawn through convenient sampling from the Public and Private universities of Karachi in Pakistan, using a cross sectional design.…
Descriptors: Test Anxiety, Emotional Intelligence, Academic Achievement, College Students

Peer reviewed
Direct link
