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Chandan Kumar Tiwari; Mohd. Abass Bhat; Shagufta Tariq Khan; Rajaswaminathan Subramaniam; Mohammad Atif Irshad Khan – Interactive Technology and Smart Education, 2024
Purpose: The purpose of this paper is to identify the factors determining students' attitude toward using newly emerged artificial intelligence (AI) tool, Chat Generative Pre-Trained Transformer (ChatGPT), for educational and learning purpose based on technology acceptance model. Design/methodology/approach: The recommended model was empirically…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Student Attitudes
Lixia Chen – European Journal of Education, 2025
This study explores the relationships among music students' artificial intelligence (AI) perceptions, motivation, engagement, creativity and learning success. Through a random sampling method, 521 Chinese music students participated in the research, which employed a range of questionnaires to assess AI perceptions, motivation, engagement, learning…
Descriptors: Music Education, Technology Uses in Education, Artificial Intelligence, Student Motivation
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
Sultan Hammad Alshammari; Mohammed Habib Alshammari – International Journal of Information and Communication Technology Education, 2024
The current study aims at assessing the factors which could affect students' use of ChatGPT. The study proposed a theoretical model that included five factors. Data were collected from 136 students using a questionnaire. The data were analyzed using two steps: CFA for measuring the model and SEM for analyzing the relationships and testing…
Descriptors: Influences, Technology Uses in Education, Artificial Intelligence, Natural Language Processing
Chiu, Thomas K. F.; Meng, Helen; Chai, Ching-Sing; King, Irwin; Wong, Savio; Yam, Yeung – IEEE Transactions on Education, 2022
Contributions: The Chinese University of Hong Kong (CUHK)-Jockey Club AI for the Future Project (AI4Future) co-created the first pretertiary AI curriculum at the secondary school level for Hong Kong and evaluated its efficacy. This study added to the AI education community by introducing a new AI curriculum framework. The preposttest multifactors…
Descriptors: Curriculum Development, Curriculum Evaluation, Artificial Intelligence, Foreign Countries
Saman Ebadi; Asieh Amini – Interactive Learning Environments, 2024
Artificial Intelligence (AI) technology in the educational context, particularly chatbotics, has made significant changes in learning English. This mixed-methods study is intended to explore university students' attitudes toward the potential role of artificial intelligence (AI)-assisted mobile applications. Meanwhile, the role of social presence…
Descriptors: Artificial Intelligence, Educational Technology, English (Second Language), Second Language Learning
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
Rena Alasgarova; Jeyhun Rzayev – International Journal of Technology in Education and Science, 2024
This study explores the integration of Artificial Intelligence (AI) in high school education, focusing on its implications for student motivation and learning through the framework of Self-Determination Theory. As AI technologies like ChatGPT4 become more prevalent in educational settings, their potential to enhance learning by catering to…
Descriptors: High School Students, Artificial Intelligence, Student Motivation, Personal Autonomy
Chen-Chen Liu; Hai-Jie Wang; Dan Wang; Yun-Fang Tu; Gwo-Jen Hwang; Youmei Wang – Interactive Learning Environments, 2024
Teachers' instructional design skills influence their teaching practices and student learning performances. However, researchers have found that the traditional one-to-many model of preservice teacher education prevents preservice teachers from receiving timely and individualized feedback, making it difficult to fill in theoretical knowledge gaps…
Descriptors: Preservice Teachers, Instructional Design, Teaching Skills, Knowledge Level
Hanwei Wu; Yunsong Wang; Yongliang Wang – International Review of Research in Open and Distributed Learning, 2024
Artificial intelligence (AI) offers new possibilities for English as a foreign language (EFL) learners to enhance their learning outcomes, provided that they have access to AI applications. However, little is written about the factors that influence their intention to use AI in distributed EFL learning contexts. This mixed-methods study, based on…
Descriptors: College Students, Artificial Intelligence, English (Second Language), Second Language Learning
Sahin Gökçearslan; Cansel Tosun; Zeynep Gizem Erdemir – International Journal of Technology in Education, 2024
In many fields, AI chatbots continue to be popular with new tools and attract the attention of universities, K12 schools, educational organizations, and researchers. The aim of this research is to review the research on AI chatbots by restricting it to the category of education and to examine this research from a methodological point of view.…
Descriptors: Artificial Intelligence, Synchronous Communication, Technology Uses in Education, Educational Technology
Romero-Rodríguez, José-María; Ramírez-Montoya, María-Soledad; Buenestado-Fernández, Mariana; Lara-Lara, Fernando – Journal of New Approaches in Educational Research, 2023
Artificial intelligence (AI) and AI-based chatbots, such as ChatGPT, are transforming the approach to education. In particular, ChatGPT's potential to process large amounts of data and learn from user interactions makes it a beneficial resource for students, albeit with some reluctance from some teachers. This study aimed to explore the acceptance…
Descriptors: Artificial Intelligence, College Students, Student Attitudes, Gender Differences
Anmol Gulati; Harish Saini; Sultan Singh; Vinod Kumar – Marketing Education Review, 2024
The rapid proliferation of the Internet has sparked a resurgence of attention toward the function of novel artificial intelligence technologies in the higher education. The effective adoption of recent advancements in human-computer interaction is crucial for inclusive education and innovation, resulting in sustainable socioeconomic growth and…
Descriptors: Business Administration Education, Student Attitudes, Intention, Artificial Intelligence
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
Pu, Song; Ahmad, Nor Aniza; Md. Khambari, Mas Nida; Yap, Ng Keng; Ahrari, Seyedali – Asian Journal of University Education, 2021
The purpose of this study is twofold: (1) to develop a service-learning-based module training artificial intelligence (AI) subject (SLBM-TAIS); and (2) to evaluate the effect of SLBM-TAIS on preservice teachers' (PSTs') practical knowledge and motivation, as well as primary school students' attitude towards AI in China. Participants of this study…
Descriptors: Preservice Teachers, Knowledge Level, Student Motivation, Artificial Intelligence