Publication Date
| In 2026 | 0 |
| Since 2025 | 9 |
| Since 2022 (last 5 years) | 30 |
| Since 2017 (last 10 years) | 39 |
| Since 2007 (last 20 years) | 48 |
Descriptor
Source
Author
Publication Type
| Reports - Research | 45 |
| Journal Articles | 43 |
| Tests/Questionnaires | 5 |
| Dissertations/Theses -… | 2 |
| Information Analyses | 2 |
| Speeches/Meeting Papers | 2 |
Education Level
Audience
Location
| China | 5 |
| Saudi Arabia | 4 |
| Indonesia | 2 |
| Iran | 2 |
| Australia | 1 |
| Colombia (Bogota) | 1 |
| Germany | 1 |
| India | 1 |
| Ireland | 1 |
| Japan | 1 |
| Lebanon | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| International English… | 2 |
| Test of English as a Foreign… | 1 |
What Works Clearinghouse Rating
Xieling Chen; Haoran Xie; Di Zou; Lingling Xu; Fu Lee Wang – Educational Technology & Society, 2025
In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…
Descriptors: Classification, MOOCs, Teaching Skills, Artificial Intelligence
Ana Lidia Franzoni Velázquez; Esperanza Huerta; Scott Jensen – Discover Education, 2024
This two-part study describes a learning exercise including a video and a worksheet designed to raise students' awareness of the need to evaluate the completeness of references generated by ChatGPT. The first part of the study assesses the completeness and relevance of academic references generated by ChatGPT using four prompts and three versions…
Descriptors: Artificial Intelligence, Students, Instructional Material Evaluation, Computer Assisted Instruction
Raquel Coelho; Anne E. Bjune; Ståle Ellingsen; Belinda Munoz Solheim; Ruben Thormodsaeter; Barbara Wasson; Sehoya Cotner – Journal of Science Education and Technology, 2025
Questions around the use and regulation of Generative AI (GenAI) in educational contexts are widespread among both students and educators; an important step toward addressing these questions is to gain a full and nuanced understanding of the perspectives at play. To that end, this study surveyed 742 biology students across nine higher education…
Descriptors: Biology, Science Instruction, Artificial Intelligence, Student Surveys
Tina Jaber Rafidi; Nabiha El Khatib – Discover Education, 2025
As generative AI tools like ChatGPT become increasingly integrated into academic settings, understanding students' perspectives is critical--particularly in underrepresented regions such as Lebanon and Palestine. A mixed-methods approach using survey data and thematic analysis of in-depth interviews was employed to analyze students' perceived…
Descriptors: Cross Cultural Studies, Artificial Intelligence, Technology Integration, Teaching Methods
Sri Wuli Fitriati; Aldha Williyan – Journal of Pedagogical Research, 2025
This research investigates the use of artificial intelligence (AI) tools by Indonesian EFL learners to enhance their presentation skills through self-regulated learning. With the rapid advancement of AI technologies, their integration into educational practices has become increasingly significant, particularly in developing essential skills like…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Speech Communication
Isabel M. Romero Albaladejo; María del Mar García López – Education and Information Technologies, 2024
The mathematical-related affect research agenda demands studies on the affect-cognition relationship, as well as interventions aimed at improving affective aspects of mathematical learning. The potential of technological environments for promoting cognitive changes in students has been widely informed and there is evidence of their influence in…
Descriptors: Geometry, Mathematics Instruction, Student Attitudes, Computer Software
Assim S. Alrajhi – Cogent Education, 2024
This paper reports on a mixed-methods study delving into EFL students' experiences and perspectives on a text-based pedagogical chatbot. Utilizing chatbot-mediated interaction, a questionnaire survey, and focus group discussions, the study centers around the cognitive and affective domains of learning in relation to the chatbot's affordances and…
Descriptors: Artificial Intelligence, Computer Software, Second Language Learning, Second Language Instruction
Wen Liu – Language Teaching Research Quarterly, 2024
Automated writing evaluation feedback (AWE) has become popular in writing classrooms. However, few studies have conducted a comprehensive review of the employment of AWE in learning areas. This study aimed to provide a systematic review of the current research on AWE feedback, including its validity, effects, and students' engagement with AWE…
Descriptors: Writing Instruction, Learner Engagement, Feedback (Response), Teaching Methods
Conijn, Rianne; Kahr, Patricia; Snijders, Chris – Journal of Learning Analytics, 2023
Ethical considerations, including transparency, play an important role when using artificial intelligence (AI) in education. Explainable AI has been coined as a solution to provide more insight into the inner workings of AI algorithms. However, carefully designed user studies on how to design explanations for AI in education are still limited. The…
Descriptors: Ethics, Writing Evaluation, Artificial Intelligence, Essays
Izzet Dos – European Educational Researcher, 2025
This systematic review synthesizes research published between January 2023 and March 2025 on the integration of ChatGPT in higher education. Following PRISMA guidelines, a total of 20 peer-reviewed empirical studies were selected from Web of Science and Scopus databases. These studies represent diverse global contexts and methodological…
Descriptors: Research Reports, Artificial Intelligence, Computer Software, Integrity
K. Keerthi Jain; J. N. V. Raghuram – Education and Information Technologies, 2024
This research delves into the multifaceted landscape of various factors that influence the adoption of Generation-Artificial Intelligence (Gen-AI) in Higher Education. By employing a comprehensive framework that includes perceived risk, perceived ease of use, usefulness, Technological Pedagogical Content Knowledge (TPACK), and trust, the study…
Descriptors: Prediction, Artificial Intelligence, Technological Literacy, Pedagogical Content Knowledge
Atthasith Chuanpipatpong – PASAA: Journal of Language Teaching and Learning in Thailand, 2025
Writing is often considered the most difficult language skill for EFL learners due to its persistent grammatical and lexical challenges. Although tools such as Google Translate and ChatGPT are increasingly used, concerns persist regarding overreliance and reduced learner autonomy. This study investigated the grammatical errors and writing…
Descriptors: Foreign Countries, Error Analysis (Language), English (Second Language), Second Language Learning
Sittirak, Nantana; Na Ranong, Sirirat – LEARN Journal: Language Education and Acquisition Research Network, 2023
Instrumental competence is universally considered a compulsory competence for translators. Given its significance, this study investigated the instrumental competence of novice translators in translating from and into a foreign language. To this end, an experiment was conducted with a group of 31 Thai EFL learners who had taken English-Thai…
Descriptors: Novices, Translation, Second Language Learning, Second Language Instruction
Muhammad Aizri Fadillah; Usmeldi Usmeldi; Asrizal Asrizal – Journal of Baltic Science Education, 2024
The role of ChatGPT and higher-order thinking skills (HOTS) as predictors of physics inquiry among uppersecondary students has yet to be widely explored. Therefore, this research aimed to examine upper-secondary students' role in ChatGPT (convenience and quality (CQ), motivation and engagement (ME), and accuracy and trust (AT)) and HOTS as…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Thinking Skills
Dahlkemper, Merten Nikolay; Lahme, Simon Zacharias; Klein, Pascal – Physical Review Physics Education Research, 2023
This study aimed at evaluating how students perceive the linguistic quality and scientific accuracy of ChatGPT responses to physics comprehension questions. A total of 102 first- and second-year physics students were confronted with three questions of progressing difficulty from introductory mechanics (rolling motion, waves, and fluid dynamics).…
Descriptors: Physics, Science Instruction, Artificial Intelligence, Computer Software

Peer reviewed
Direct link
