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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
Inna Artemova – Digital Education Review, 2024
After the pandemic, research on Artificial Intelligence (AI) in the field of education has seen a significant increase globally. However, a few studies conducted before the pandemic addressed the problem of supporting intrinsic motivation in students, crucial for the quality of learning and knowledge retention. This study explores how this topic…
Descriptors: Artificial Intelligence, Student Motivation, Technology Uses in Education, Technological Advancement
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
Gabriel Julien – Educational Research and Reviews, 2024
Since artificial intelligence (AI) is extensively used in the field of education, it presents various opportunities in teaching and learning. In education, AI is chiefly used to impart knowledge, stimulate comprehension, heighten intelligence, and is treasured as support in learning. It is also instrumental in empowering and inspiring students.…
Descriptors: Artificial Intelligence, Inclusion, Educational Benefits, Barriers
Yizhou Fan; Luzhen Tang; Huixiao Le; Kejie Shen; Shufang Tan; Yueying Zhao; Yuan Shen; Xinyu Li; Dragan Gaševic – British Journal of Educational Technology, 2025
With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generative artificial intelligence such as ChatGPT. In particular, there has been a surge of academic interest in human-AI collaboration and…
Descriptors: College Students, Writing Achievement, Writing Exercises, Artificial Intelligence
Chang, Hui-Tzu; Lin, Chia-Yu; Jheng, Wei-Bin; Chen, Shih-Hsu; Wu, Hsien-Hua; Tseng, Fang-Ching; Wang, Li-Chun – Educational Technology & Society, 2023
The objective of this research is based on human-centered AI in education to develop a personalized hybrid course recommendation system (PHCRS) to assist students with course selection decisions from different departments. The system integrates three recommendation methods, item-based, user-based and content-based filtering, and then optimizes the…
Descriptors: Artificial Intelligence, Course Selection (Students), Blended Learning, Accuracy
Wang, Yu-Yin; Wang, Yi-Shun – Interactive Learning Environments, 2022
While increasing productivity and economic growth, the application of artificial intelligence (AI) may ultimately require millions of people around the world to change careers or improve their skills. These disruptive effects contribute to the general public anxiety toward AI development. Despite the rising levels of AI anxiety (AIA) in recent…
Descriptors: Test Construction, Test Validity, Artificial Intelligence, Anxiety
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
John R. Haughery – IEEE Transactions on Education, 2024
Contribution: This study qualitatively uncovered meaning for why and what was motivating to undergraduates participating in an educational human-robot interaction (HRI) experience. A data corpus of four documents (groups) was evaluated from a quasi-experimental, nonequivalent control (n = 23) and treatment (n = 61) research design revealing three…
Descriptors: Undergraduate Students, Engineering Education, Man Machine Systems, Robotics
Orji, Fidelia A.; Vassileva, Julita – Journal of Educational Technology Systems, 2023
This research presents a proposed approach that could be applied in modeling students' study strategies and performance in higher education. The research used key learning attributes, including intrinsic motivation, extrinsic motivation, autonomy, relatedness, competence, and self-esteem in the modeling. Five machine learning models were…
Descriptors: Student Motivation, Learner Engagement, Undergraduate Students, Learning Strategies
Ziyi Zhang – ProQuest LLC, 2023
As artificial intelligence (AI) plays a more prominent role in our everyday lives, it becomes increasingly important to introduce basic AI concepts to K-12 students. Currently, most K-12 AI research focuses on introducing fundamental AI concepts using pure virtual platforms like webpages or software. However, robots, as helpful and popular tools…
Descriptors: Artificial Intelligence, Elementary Secondary Education, Educational Technology, Robotics
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