Publication Date
In 2025 | 0 |
Since 2024 | 3 |
Since 2021 (last 5 years) | 7 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 7 |
Descriptor
Source
Cogent Education | 7 |
Author
Gatut Susanto | 1 |
Gilbert Dizon | 1 |
Hanifah Putri Elisa | 1 |
Imam Suyitno | 1 |
Jinpeng Wang | 1 |
John M. Gayed | 1 |
Kasymova, Maral | 1 |
Kokibasova, Gulmira | 1 |
Laura Iseut Lafrance St-Martin | 1 |
M. Rais Salim | 1 |
Mahir Pradana | 1 |
More ▼ |
Publication Type
Information Analyses | 7 |
Journal Articles | 7 |
Reports - Research | 2 |
Education Level
Elementary Secondary Education | 1 |
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Policymakers | 1 |
Location
China | 1 |
United Kingdom | 1 |
United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Mahir Pradana; Hanifah Putri Elisa; Syarifuddin Syarifuddin – Cogent Education, 2023
This article aims to provide a review of existing research on the use of OpenAI ChatGPT in education using bibliometric analysis and systematic literature review. We explored published articles to observe the leading contributors to this field, the important subtopics, and the potential study in the future. We discovered that there is already a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Literature Reviews, Bibliometrics
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
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
Yihe Qian; Jinpeng Wang; Yixin Cai – Cogent Education, 2023
This paper addresses the existing gap in the literature on Metaverse applications in education by providing a comprehensive analysis of associated paradigms, platforms, hardware, and software, which have not been systematically reviewed yet. Notably, this study is among the first, to the best of our knowledge, to introduce the pioneering concept…
Descriptors: Computer Simulation, Technology Uses in Education, Artificial Intelligence, Educational Innovation
Sainee Tamphu; Imam Suyitno; Gatut Susanto; Nia Budiana; M. Rais Salim; Nurhikmah; Wilda Purnawati – Cogent Education, 2024
Artificial intelligence (AI) has transformed education by enhancing personalization and learning efficiency. However, the application of AI in addressing its challenges and potential remains suboptimal. This study aims to provide a bibliometric analysis of AI in Education research, focusing on publications from 2017 to 2023 sourced from…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Research, Educational Change
Sadykov, Timur; Kokibasova, Gulmira; Minayeva, Yelena; Ospanova, Aliyash; Kasymova, Maral – Cogent Education, 2023
Natural science subjects have always been the most challenging for students in schools and universities. While the pandemic brought about a lot of new challenges, it also gave academics the chance to test out evaluation methodologies they had previously thought about but hadn't used in a relatively low-risk setting. The programmed learning…
Descriptors: Natural Sciences, Science Education, Research Reports, Pandemics
Nguyen, Lan Thi; Tuamsuk, Kulthida – Cogent Education, 2022
This paper explored the characteristics of the digital learning ecosystem (DLE) in educational institutions based on the analysis of English scholarly discourse from various sources between 2002 and 2021. The content analysis method was used to examine core conceptual elements from the existing models. Researchers used Google Scholar and other…
Descriptors: Electronic Learning, Ecology, Discourse Analysis, Content Analysis