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Birks, Daniel; Clare, Joseph – International Journal for Educational Integrity, 2023
This paper connects the problem of artificial intelligence (AI)-facilitated academic misconduct with crime-prevention based recommendations about the prevention of academic misconduct in more traditional forms. Given that academic misconduct is not a new phenomenon, there are lessons to learn from established information relating to misconduct…
Descriptors: Artificial Intelligence, Cheating, Student Behavior, Prevention
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Chengliang Wang; Xiaojiao Chen; Zhebing Hu; Sheng Jin; Xiaoqing Gu – Journal of Computer Assisted Learning, 2025
Background: ChatGPT, as a cutting-edge technology in education, is set to significantly transform the educational landscape, raising concerns about technological ethics and educational equity. Existing studies have not fully explored learners' intentions to adopt artificial intelligence generated content (AIGC) technology, highlighting the need…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Computer Uses in Education
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Ryan Hare; Ying Tang; Sarah Ferguson – IEEE Transactions on Education, 2024
Contribution: A general-purpose model for integrating an intelligent tutoring system within a serious game for use in higher education. Additionally, this article also offers discussions of proper serious game design informed by in-classroom observations and student responses. Background: Personalized learning in higher education has become a key…
Descriptors: Intelligent Tutoring Systems, Game Based Learning, Gamification, Student Attitudes
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Eyüp Yurt; Ismail Kasarci – International Journal of Technology in Education, 2024
This study introduces the Questionnaire of AI Use Motives (QAIUM), an instrument designed to measure motivation levels in individuals using artificial intelligence (AI) applications. Building on a theoretical framework that emphasizes motivation over dispositions and defines motivation as expectancy/value, the QAIUM aims to fill a research gap in…
Descriptors: Artificial Intelligence, Foreign Countries, College Students, Student Attitudes
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Hacer Güner; Erkan Er; Gökhan Akçapinar; Mohammad Khalil – Educational Technology & Society, 2024
The revolutionary breakthrough of ChatGPT has significantly impacted various fields, including education. To produce maximum benefit in education from this innovative technology, it should be properly integrated into educational settings to create effective ways for learning while paying attention to ethical considerations. Understanding students'…
Descriptors: Artificial Intelligence, Technology Integration, Student Attitudes, College Students
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Yoo-Jean Lee – ELT Journal, 2024
Recent attention on ChatGPT, a prominent AI language model, highlights its potential in assisting EFL writing. Although ChatGPT's capabilities involve grammar correction, vocabulary enrichment and sentence structuring, its full potential alongside human scaffolding in EFL writing classrooms remains unexplored. This study aims to fill this gap by…
Descriptors: Artificial Intelligence, English (Second Language), Writing Instruction, Collaborative Writing
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Yifeng Hu – Communication Teacher, 2025
This assignment is integrated into the generative AI unit of the Emerging Communication Technologies course. It includes step-by-step designs and reflective examples from students, highlighting the evolution of their perceptions of generative AI. The assignment uniquely focuses on understanding and raising awareness of stereotypes present in…
Descriptors: Artificial Intelligence, Stereotypes, Communications, Student Attitudes
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Wali Khan Monib; Atika Qazi; Malissa Maria Mahmud – Education and Information Technologies, 2025
ChatGPT has emerged as a transformative technology with its remarkable ability to generate human-like responses, propelling its widespread adoption. While prior research has investigated the general landscape of AI-driven tools such as ChatGPT, the current study focuses specifically on exploring learners' experiences and perceptions regarding the…
Descriptors: Student Attitudes, Student Experience, Artificial Intelligence, Natural Language Processing
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Keith J. Topping; Ed Gehringer; Hassan Khosravi; Srilekha Gudipati; Kaushik Jadhav; Surya Susarla – International Journal of Educational Technology in Higher Education, 2025
This paper surveys research and practice on enhancing peer assessment with artificial intelligence. Its objectives are to give the structure of the theoretical framework underpinning the study, synopsize a scoping review of the literature that illustrates this structure, and provide a case study which further illustrates this structure. The…
Descriptors: Peer Evaluation, Artificial Intelligence, Grades (Scholastic), Feedback (Response)
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Ziqing Peng; Yan Wan – Education and Information Technologies, 2024
Understanding preferences surrounding artificial intelligence (AI) and human teaching assistants (TAs) helps managers improve AI TAs, effectively deploying AI and human TAs, and providing better services to learners. The literature has explored how AI TAs' characteristics affect students' use intention, neglecting students' comparative behaviors…
Descriptors: Artificial Intelligence, Teaching Assistants, Student Attitudes, Anxiety
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Sinan Hopcan; Gamze Türkmen; Elif Polat – Education and Information Technologies, 2024
With the advancement of artificial intelligence (AI) and machine learning (ML) techniques, attitudes towards these two fields have begun to gain importance in different professions. One of the affected professions is undoubtedly the teaching profession. Increasing the levels of concern for artificial intelligence and attitudes towards machine…
Descriptors: Artificial Intelligence, Educational Technology, Anxiety, Preservice Teachers
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Ozgun Uyanik Aktulun; Koray Kasapoglu; Bulent Aydogdu – Journal of Baltic Science Education, 2024
Identifying student teachers' attitudes and anxiety toward artificial intelligence (AI) in regard to their field of study might be helpful in determining whether and how AI will be employed in their future classrooms. Hence, this study aims to compare pre-service STEM and non-STEM teachers' attitudes and anxiety toward AI. In this quantitative…
Descriptors: Foreign Countries, Preservice Teachers, STEM Education, Student Attitudes
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Vafa Savaskan; Nursah Özer – Shanlax International Journal of Education, 2024
The concept of Artificial Intelligence (AI) initially emerged as a term in the field of computer science. In the subsequent years, this concept transcended its origins and became relevant across various domains of human life. Nowadays, it's possible to encounter AI in nearly every aspect of human life. In this context, it's considered noteworthy…
Descriptors: Turkish, Artificial Intelligence, Figurative Language, Preservice Teachers
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Ayse Alkan; Ezgi Pelin Yildiz – International Journal of Research in Education and Science, 2024
The main goal of this study is to reveal special talented primary school students' perceptions of artificial intelligence, one of the popular concepts of recent times, through metaphors. In this study, the phenomenological design, which is within the scope of qualitative research, was used. In this study, Türkiye Science and Art Center included…
Descriptors: Foreign Countries, Gifted, Elementary School Students, Middle School Students
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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
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