NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
Assessments and Surveys
Motivated Strategies for…1
What Works Clearinghouse Rating
Showing 1 to 15 of 53 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Zhu Zhu; Yingying Ren; An ran Shen – Education and Information Technologies, 2025
Current educational trends leverage artificial intelligence (AI) to provide high-quality teaching and enhance students' learning competitiveness. This study aimed to evaluate the acceptance of artificial intelligence generated content (AIGC) for assisted learning and design creation among art and design students. Based on an extended technology…
Descriptors: Artificial Intelligence, Computer Assisted Design, Computer Assisted Instruction, Art Education
Peer reviewed Peer reviewed
Direct linkDirect link
Tiansheng Xia; Xinyi Pan; Meitao Cao; Jiayue Guo – Education and Information Technologies, 2025
Reading provides college students with vital assistance in their efforts to expand their knowledge base. Artificial intelligence (AI)-assisted reading tools have been developed with the aim of improving students' reading efficiency and reading experience. However, the acceptance of such tools and relevant influencing factors remain unknown. This…
Descriptors: College Students, Student Attitudes, Adoption (Ideas), Artificial Intelligence
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Yong Jik Lee; Robert O. Davis – Contemporary Educational Technology, 2024
This research investigated the effects of generative AI on affective factors (motivation, interest, and confidence) of English as a foreign language (EFL) learners enrolled in Korean university-level general English courses. During the Spring 2024 semester, this study involved 89 participants exposed to a generative AI-based instruction model.…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ernest Frimpong Akosah – International Journal of Technology in Education and Science, 2025
The integration of Artificial Intelligence (AI) in collaborative learning environments has transformed educational practices, yet little is known about preservice mathematics teachers' perceptions and engagement with such technology. This study aims to address this gap by exploring how pre-service teachers perceive and engage with AI-assisted…
Descriptors: Artificial Intelligence, Technology Uses in Education, Cooperative Learning, Mathematics Education
Peer reviewed Peer reviewed
Direct linkDirect link
Qi An – Education and Information Technologies, 2024
The importance of using innovative technologies in modern education is continuously growing. This paper examines the influence of intelligent painting systems (IPS) on student self-efficacy and involvement. The conducted study involved 234 students from the Guangzhou Academy of Fine Arts. An experimental approach was used to ensure scientific…
Descriptors: Foreign Countries, College Students, Art Education, Painting (Visual Arts)
Peer reviewed Peer reviewed
Direct linkDirect link
Alberto Grájeda; Johnny Burgos; Pamela Córdova; Alberto Sanjinés – Cogent Education, 2024
This study aims to assess the adoption and impact of Artificial Intelligence (A.I.) tools in higher education, focusing on a private university in Latin America. Guided by the question, "What is the impact, as perceived by university students, of using Artificial Intelligence tools on various dimensions of learning and teaching within the…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Student Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Saw Fen Tan – Asian Association of Open Universities Journal, 2024
Purpose: This study aims to explore students' perceptions of the use of an artificial intelligence-generated content avatar (AIGC avatar) within a learning management system (LMS). Design/methodology/approach: This qualitative research involved seven postgraduate students. Data were collected through individual, in-depth interviews. The videos of…
Descriptors: Student Attitudes, Artificial Intelligence, Computer Simulation, Self Concept
Peer reviewed Peer reviewed
Direct linkDirect link
Susanne Walan – International Journal of Technology and Design Education, 2025
Since the end of 2022, global discussions on Artificial Intelligence (AI) have surged, influencing diverse societal groups, such as teachers, students and policymakers. This case study focuses on Swedish primary school students aged 11-12. The aim is to examine their cognitive and affective perceptions of AI and their current usage. Data,…
Descriptors: Foreign Countries, Elementary School Students, Artificial Intelligence, Student Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Philip Slobodsky; Mariana Durcheva – International Journal of Mathematical Education in Science and Technology, 2025
AI-based bots (ChatGPT) are capable of solving mathematics problems, and students often use them for homework preparation, self-learning, etc. This raises a number of didactical and technical questions: How can students submit assignments containing complex mathematical expressions using only a keyboard? How should mathematics errors in ChatGPT's…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Mathematics Instruction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Jacqueline Zammit – Technology in Language Teaching & Learning, 2024
The Chat Generative Pretrained Transformer (ChatGPT) is a state-of-the-art artificial intelligence (AI) language model developed by OpenAI. It employs advanced deep-learning algorithms to generate text that mimics human language. ChatGPT, launched on November 30, 2022, has rapidly gained widespread recognition. Its influence on the future of…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Second Language Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Hyeon Jo – International Journal of Educational Technology in Higher Education, 2024
Artificial Intelligence (AI) chatbots are increasingly becoming integral components of the digital learning ecosystem. As AI technologies continue to evolve, it is crucial to understand the factors influencing their adoption and use among students in higher education. This study is undertaken against this backdrop to explore the behavioral…
Descriptors: Artificial Intelligence, Computer Software, Educational Technology, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Chao Qin; Mengli Zhang; Zhixin Li; Luxin Chen – Education and Information Technologies, 2025
Artificial intelligence (AI) is being deeply integrated into human society. In the future, human collaboration with AI is inevitable. Therefore, exploring the attitudes of future workers--represented by current K-12 children--towards AI has become crucial. Robots stand as typical representatives of AI. Robot programming education is an important…
Descriptors: Foreign Countries, Rural Schools, Elementary School Students, Grade 6
Peer reviewed Peer reviewed
Direct linkDirect link
Lu-Ho Hsia; Gwo-Jen Hwang; Jan-Pan Hwang – Interactive Learning Environments, 2024
To improve students' sports skills performance, it is important to engage them in reflective practice. However, in physical classes, a teacher generally needs to face a number of students, and hence it is almost impossible to provide detailed guidance or feedback to individual students. Scholars have been trying to use Artificial Intelligence (AI)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Physical Education, Feedback (Response)
Peer reviewed Peer reviewed
Direct linkDirect link
Sreenivasulu Reddy Mogali; Olivia Ng; Jia Xin Tan; Thu Htet San; Kian Bee Ng – Anatomical Sciences Education, 2024
The COVID-19 pandemic revealed the pivotal role of digital learning and online lecture videos, leading a shift toward blended and flipped classrooms in the post-pandemic era. This shift calls for development and (or) refreshment of novel online educational resources, such as Voice-Over PowerPoint (VOPPT) presentations, specifically designed for…
Descriptors: Undergraduate Students, Medical Students, Medical Education, Anatomy
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4