Publication Date
| In 2026 | 0 |
| Since 2025 | 2438 |
| Since 2022 (last 5 years) | 5993 |
| Since 2017 (last 10 years) | 6937 |
| Since 2007 (last 20 years) | 7394 |
Descriptor
Source
Author
| Danielle S. McNamara | 26 |
| Gwo-Jen Hwang | 19 |
| Mihai Dascalu | 17 |
| McNamara, Danielle S. | 14 |
| Hwang, Gwo-Jen | 13 |
| Aleven, Vincent | 12 |
| Jiahong Su | 12 |
| Wanli Xing | 12 |
| Chenglu Li | 11 |
| Dragan Gaševic | 11 |
| Koedinger, Kenneth R. | 11 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 244 |
| Teachers | 208 |
| Practitioners | 181 |
| Policymakers | 88 |
| Administrators | 72 |
| Students | 55 |
| Media Staff | 10 |
| Counselors | 5 |
| Parents | 4 |
| Support Staff | 4 |
| Community | 3 |
| More ▼ | |
Location
| China | 391 |
| Turkey | 199 |
| Australia | 131 |
| United States | 123 |
| Taiwan | 118 |
| United Kingdom | 116 |
| India | 107 |
| South Korea | 99 |
| Canada | 92 |
| Germany | 92 |
| Indonesia | 92 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 1 |
| Meets WWC Standards with or without Reservations | 1 |
Katharine Meyer; Lindsay C. Page; Catherine Mata; Eric N. Smith; B. Tyler Walsh; C. Lindsey Fifield; Michelle Tyson; Amy Eremionkhale; Michael Evans; Shelby Frost; Eye Eoun Jung – Annenberg Institute for School Reform at Brown University, 2024
This study reports on the causal effects of using a non-generative artificial intelligence (AI) chatbot to provide course-specific, proactive outreach and support to students in large-enrollment undergraduate courses. Across both an American Government and Microeconomics course, students randomly assigned to receive chatbot messaging were four…
Descriptors: Synchronous Communication, Computer Software, Performance, Artificial Intelligence
Amal Abdelsattar Metwally; Wagdi Rashad Ali Bin-Hady; Eisa Asiri – International Journal of Language Education, 2024
Artificial Intelligence (AI) powered translation influxes in the translation industry. Yet, questions have arisen about the quality of AI-powered translation systems (AIPTSs). Therefore, this study aims to evaluate the translation quality generated by ChatGPT for the Farewell Sermon. Using House's (2015) model of translation quality assessment…
Descriptors: Artificial Intelligence, Translation, Accuracy, Program Evaluation
Aras Bozkurt; Ramesh C. Sharma – Asian Journal of Distance Education, 2024
Generative Artificial Intelligence (GenAI) has rapidly evolved to perform complex tasks across diverse domains. Despite its potential to redefine how we work and learn, generative AI's effectiveness hinges on the extent to which it is trusted--by individuals, organizations, and broader societal systems. At the heart of this issue lie three…
Descriptors: Man Machine Systems, Artificial Intelligence, Trust (Psychology), Technology Uses in Education
Yan Xiong; Guo Xinya; Junjie Xu – Education and Information Technologies, 2024
Learning engagement is an essential indication to define students' learning pacification in the class, and its automated identification technique is the foundation for exploring how to effectively explain the motive of learning impact modifications and making intelligent teaching choices. Current research have demonstrated that there is a direct…
Descriptors: Learner Engagement, Learning Processes, Automation, Artificial Intelligence
Matthew Kelso – ProQuest LLC, 2024
The potential of AI in K-12 education is vast, promising personalized learning experiences, enhanced engagement, and innovative instructional tools. However, its introduction into classrooms brings forth concerns ranging from ethics to teacher preparedness. Drawing on Christensen's concept of disruptive innovation, this study aims to assess and…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Readiness, Technology Integration
Luke Parker; Chris Carter; Alice L. Karakas; Jane A. Loper; Ahmad Sokkar – AERA Online Paper Repository, 2024
In 2023, ChatGPT emerged as a transformative force in education, igniting widespread interest across academia. This paper rigorously investigates ChatGPT's impact on higher education using a mixed-methods approach, comparing its (ChatGPT) performance with real students' work in undergraduate assignments. Key findings reveal ChatGPT consistently…
Descriptors: Artificial Intelligence, Technology Education, Higher Education, Influence of Technology
Sheri Grotrian; Lisa Parriott; Brad Griffin; Brady Woerth; Wyatt Rowell – Educational Research: Theory and Practice, 2024
This paper is a review of student perceptions and usage of ChatGPT and other Artificial Intelligence (AI) tools. Technology has made significant changes in education, and in the last 30 years, none may be as impactful as what we refer to as ChatGPT as this was the first tool to make inroads into a chat-based artificial intelligence available to…
Descriptors: Artificial Intelligence, Computer Software, Student Attitudes, Teaching Methods
Seda Göktepe Körpeoglu; Sevda Göktepe Yildiz – International Journal of Science Education, 2024
Numerous artificial intelligence methods have lately been applied in education. This study proposes an Adaptive Neural-network-based Fuzzy Logic (ANFIS) model combining fuzzy logic and artificial neural networks for predicting students' STEM attitudes. The inputs of the research were determined as grade levels and academic achievement scores, and…
Descriptors: Foreign Countries, Middle School Students, STEM Education, Student Attitudes
Jing Chen; Bei Fang; Hao Zhang; Xia Xue – Interactive Learning Environments, 2024
High dropout rate exists universally in massive open online courses (MOOCs) due to the separation of teachers and learners in space and time. Dropout prediction using the machine learning method is an extremely important prerequisite to identify potential at-risk learners to improve learning. It has attracted much attention and there have emerged…
Descriptors: MOOCs, Potential Dropouts, Prediction, Artificial Intelligence
Patrick Adriel Aure; Oriana Cuenca – Journal of Research in Innovative Teaching & Learning, 2024
Purpose: This exploratory study innovates the pedagogy of undergraduate business research courses by integrating Generative Artificial Intelligence (GAI) tools, guided by human-centered artificial intelligence, social-emotional learning, and authenticity principles. Design/methodology/approach: An insider case study approach was employed to…
Descriptors: Social Emotional Learning, Artificial Intelligence, Business Education, Teaching Methods
Bablu Karan – Technology, Pedagogy and Education, 2024
The rapid advent of artificial intelligence (AI) is influencing education systems at all levels. Understanding the wide-ranging potential implications of AI, the Indian Central Board of Secondary Education (CBSE) has produced an AI integration manual consisting of details, strategies and approaches to successfully integrate AI in teaching and…
Descriptors: Technology Integration, Artificial Intelligence, Secondary Education, Foreign Countries
Khameel B. Mustapha; Eng Hwa Yap; Yousif Abdalla Abakr – Interactive Technology and Smart Education, 2024
Purpose: Following the recent rise in generative artificial intelligence (GenAI) tools, fundamental questions about their wider impacts have started to reverberate around various disciplines. This study aims to track the unfolding landscape of general issues surrounding GenAI tools and to elucidate the specific opportunities and limitations of…
Descriptors: Engineering Education, Artificial Intelligence, Computer Software, Synchronous Communication
Laurie O. Campbell; Thomas D. Cox – Journal of the Scholarship of Teaching and Learning, 2024
With the rapid societal emergence of generative artificial intelligence chatbots, calls for responsible use of generative AI permeate public voices among faculty, administration, and Centers for Teaching and Learning. The Diffusion of Innovation Theory seeks to explain how technologies like generative AI large language models are being adopted.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Synchronous Communication
Javier Vásquez-Monteros; Yasmany García-Ramírez – International Society for Technology, Education, and Science, 2024
This study investigates the integration of AI tools, ChatGPT 3.5 and Bard (now Gemini), in the education of civil engineering students specializing in pavement design. Two groups, totaling sixty-eight undergraduate students (Group A=28, Group B=40), enrolled in the Pavement Design course at UTPL from October 2023 to February 2024, participated.…
Descriptors: Civil Engineering, Engineering Education, Artificial Intelligence, Technology Integration
Xiping Jiang – AERA Online Paper Repository, 2024
Given the potential for significant changes brought about by chatbots, it is necessary to clarify the mechanisms, relevant research, practical applications, and future development of chatbots in education, while making adequate preparations for their limitations and challenges. However, there are currently few studies that systematically review…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Bibliometrics

Peer reviewed
Direct link
