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Qinghao Guan; Yangxi Han – Innovations in Education and Teaching International, 2025
As generative AI (GenAI) continues to permeate academia, distinguishing between student-authored essays and those by Large Language Models (LLMs) becomes crucial for maintaining academic integrity. This study conducted a survey on the ethical awareness of using generative AI tools among a group of STEM students (n=156). Also, we empirically…
Descriptors: Foreign Countries, College Students, Artificial Intelligence, Intelligent Tutoring Systems
Muhammad Farrukh Shahzad; Shuo Xu; Hira Zahid – Education and Information Technologies, 2025
Artificial Intelligence (AI) technologies have rapidly transformed the education sector and affect student learning performance, particularly in China, a burgeoning educational landscape. The development of generative artificial intelligence (AI) based technologies, such as chatbots and large language models (LLMs) like ChatGPT, has completely…
Descriptors: Artificial Intelligence, Technology Uses in Education, Academic Achievement, Self Efficacy
Navreet Kaur Rana – Higher Education for the Future, 2025
The article is an exploratory study assessing the stance selected higher education institutes (HEIs) have adopted regarding the usage of generative artificial intelligence (AI) applications in academic research. The HEIs are selected based on purposive sampling in order to showcase different stances they have adopted to curb plagiarism and uphold…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Plagiarism
Maria Eleftheriou; Muhammad Ahmer; Daniel Fredrick – Contemporary Educational Technology, 2025
Like many student writing centers, the American University of Sharjah Writing Center is seeing a rise in student reliance upon generative AI (GenAI) tools, which are artificial intelligence systems capable of generating human-like text. Peer tutors frequently seek guidance on how to approach student papers involving GenAI tools such as ChatGPT,…
Descriptors: Laboratories, Writing (Composition), Artificial Intelligence, Man Machine Systems
James G. Caling; Joanna Kyla T. Antonio; Ma. Fe. L. Dimatatac; Mitz D. Sabellano; Victoria Dhane R. Vicencio; Justin M. Prias; John Carlo M. Ramos – Journal of Interdisciplinary Studies in Education, 2025
This study examines how 10 pre-service teachers from a teacher education institution in Manila integrate ChatGPT into their academic tasks and navigate the resulting moral dissonance. Through semistructured interviews, the findings reveal that while ChatGPT is employed for paraphrasing, organizing ideas, information retrieval, and simplifying…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Preservice Teachers
Lawrence Ibeh; Noah Cheruiyot Mutai; Olufunke Mercy Popoola; Nguyen Manh Cuong; Sandra Ejiofor – Research in Learning Technology, 2025
For this study, 350 university students in Germany were surveyed to understand how they perceive ChatGPT's educational advantages and challenges. Using a combination of quantitative and qualitative methods, it found out that students tend to see ChatGPT as helpful for academic performance (53.14%), writing (47.14%), and exam preparation (50.00%).…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Hung Manh Nguyen; Daisaku Goto – Education and Information Technologies, 2024
The proliferation of artificial intelligence (AI) technology has brought both innovative opportunities and unprecedented challenges to the education sector. Although AI makes education more accessible and efficient, the intentional misuse of AI chatbots in facilitating academic cheating has become a growing concern. By using the indirect…
Descriptors: Academic Achievement, Cheating, Student Behavior, Artificial Intelligence
Steven Watson; Jonathan Romic – European Educational Research Journal, 2025
This paper presents a novel contribution to the discourse surrounding Large Language Models (LLMs) like ChatGPT in relation to education and society by using systems theory. We argue that ChatGPT can be understood not just as an 'artificial' intelligence but that it is entangled in the evolution of society and therefore education. ChatGPT is a…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Role
Quincy Q. Wang; Daniel Chang; Shiva Hajian; Michael Pin-Chuan Lin – AERA Online Paper Repository, 2024
An increasing number of students have been adopting AI technology for more personalized learning experiences. This exploratory study investigates the perceptions of 55 undergraduate students regarding the integration of ChatGPT into their learning. Several current perspectives on ChatGPT have focused on academic integrity and its ethical use.…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Undergraduate Students
Ananta Ardyansyah; Agung Budhi Yuwono; Sri Rahayu; Naif Mastoor Alsulami; Oktavia Sulistina – Journal of Chemical Education, 2024
The rapid development of artificial intelligence (AI) has transformed chatbots into generative pre-trained transformers (GPTs) capable of performing various tasks. The use of GPTs is expanding to learning, including natural sciences like chemistry. GPTs can assist students in understanding and solving chemistry problems. However, there are…
Descriptors: Foreign Countries, Artificial Intelligence, Man Machine Systems, Natural Language Processing
Mohammed Sani Ya’u; Mohammed Sadaa Mohammed – International Journal of Education and Literacy Studies, 2025
The rise of AI-assisted writing tools has transformed academic literacy, as it offers students support in grammar correction, sentence structure, and idea generation. However, concerns about academic integrity and over-reliance on AI are on the increase. This study investigates how Nigerian university students use AI writing tools and examines…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Natural Language Processing
Josh Freeman – Higher Education Policy Institute, 2024
This new Policy Note by HEPI and Kortext explores students' attitudes to AI. Based on a poll of 1,250 students through UCAS, we build a picture of the way students use and view generative AI technologies like ChatGPT and Google Bard. We find that the use of generative AI has become normalised in higher education, but that universities have so far…
Descriptors: Undergraduate Students, Artificial Intelligence, Man Machine Systems, Natural Language Processing
Maria Dimeli; Apostolos Kostas – Journal of Information Technology Education: Research, 2025
Aim/Purpose: The purpose of this systematic review is to identify and analyze the current findings of empirical research on the use of ChatGPT in school and higher education. Background: As AI reshapes education, the adoption of ChatGPT has the potential to revolutionize teaching and learning in school and higher educational settings. Meanwhile,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Natural Language Processing, Barriers
Usani Joseph Ofem; Valentine Joseph Owan; Mary Arikpo Iyam; Maryrose Ify Udeh; Pauline Mbua Anake; Sylvia Victor Ovat – Education and Information Technologies, 2025
While previous studies have explored students' use of different AI tools for academic purposes, studies that have specifically investigated students' use of ChatGPT for dishonest academic purposes in Nigeria are lacking. The consequence of this contextual and knowledge gap is a lack of specific understanding regarding students' engagement with…
Descriptors: Student Attitudes, Usability, Artificial Intelligence, Technology Uses in Education
Hung Thanh Nguyen; Phuoc Tai Nguyen – Educational Process: International Journal, 2025
Background/purpose: Artificial intelligence, namely ChatGPT, has garnered significant interest in language education due to its potential to enhance instruction and learning. Three primary topics are highlighted in this study's analysis of recent research on ChatGPT's use in language instruction: Reflection on instruction, instructor feedback, and…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Language Teachers

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