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Research papers on Generative AI in education

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  2. Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy

    Yogesh K. Dwivedi, Nir Kshetri, Laurie Hughes, et al. · 2023 · International Journal of Information Management · 4,011 citations

    Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organisations, society, and individuals. Offering multi-disciplinary insight into some of these, this article brings together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing. The contributors acknowledge ChatGPT’s cap

  3. ChatGPT Utility in Healthcare Education, Research, and Practice: Systematic Review on the Promising Perspectives and Valid Concerns

    Malik Sallam · 2023 · Healthcare · 2,829 citations

    ChatGPT is an artificial intelligence (AI)-based conversational large language model (LLM). The potential applications of LLMs in health care education, research, and practice could be promising if the associated valid concerns are proactively examined and addressed. The current systematic review aimed to investigate the utility of ChatGPT in health care education, research, and practice and to highlight its potential limitations. Using the PRIMSA guidelines, a systematic search was conducted to retrieve English records in PubMed/MEDLINE and Google Scholar (published research or preprints) that examined ChatGPT in the context of health care education, research, or practice. A total of 60 rec

  4. Chatting and cheating: Ensuring academic integrity in the era of ChatGPT

    Debby Cotton, Peter A. Cotton, J. Reuben Shipway · 2023 · Innovations in Education and Teaching International · 2,250 citations

    The use of artificial intelligence in academia is a hot topic in the education field. ChatGPT is an AI tool that offers a range of benefits, including increased student engagement, collaboration, and accessibility. However, is also raises concerns regarding academic honesty and plagiarism. This paper examines the opportunities and challenges of using ChatGPT in higher education, and discusses the potential risks and rewards of these tools. The paper also considers the difficulties of detecting and preventing academic dishonesty, and suggests strategies that universities can adopt to ensure ethical and responsible use of these tools. These strategies include developing policies and procedures

  5. Students’ voices on generative AI: perceptions, benefits, and challenges in higher education

    Cecilia Ka Yuk Chan, Wenjie Hu · 2023 · International Journal of Educational Technology in Higher Education · 2,013 citations

    Abstract This study explores university students’ perceptions of generative AI (GenAI) technologies, such as ChatGPT, in higher education, focusing on familiarity, their willingness to engage, potential benefits and challenges, and effective integration. A survey of 399 undergraduate and postgraduate students from various disciplines in Hong Kong revealed a generally positive attitude towards GenAI in teaching and learning. Students recognized the potential for personalized learning support, writing and brainstorming assistance, and research and analysis capabilities. However, concerns about accuracy, privacy, ethical issues, and the impact on personal development, career prospects, and soci

  6. What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature

    Chung Kwan Lo · 2023 · Education Sciences · 1,822 citations

    An artificial intelligence-based chatbot, ChatGPT, was launched in November 2022 and is capable of generating cohesive and informative human-like responses to user input. This rapid review of the literature aims to enrich our understanding of ChatGPT’s capabilities across subject domains, how it can be used in education, and potential issues raised by researchers during the first three months of its release (i.e., December 2022 to February 2023). A search of the relevant databases and Google Scholar yielded 50 articles for content analysis (i.e., open coding, axial coding, and selective coding). The findings of this review suggest that ChatGPT’s performance varied across subject domains, ran

  7. ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?

    Jürgen Rudolph, Samson Tan, Shannon Tan · 2023 · Journal of Applied Learning & Teaching · 1,726 citations

    ChatGPT is the world’s most advanced chatbot thus far. Unlike other chatbots, it can create impressive prose within seconds, and it has created much hype and doomsday predictions when it comes to student assessment in higher education and a host of other matters. ChatGPT is a state-of-the-art language model (a variant of OpenAI’s Generative Pretrained Transformer (GPT) language model) designed to generate text that can be indistinguishable from text written by humans. It can engage in conversation with users in a seemingly natural and intuitive way. In this article, we briefly tell the story of OpenAI, the organisation behind ChatGPT. We highlight the fundamental change from a not-for-profit

  8. Collaborating With ChatGPT: Considering the Implications of Generative Artificial Intelligence for Journalism and Media Education

    John V. Pavlik · 2023 · Journalism & Mass Communication Educator · 946 citations

    Generative artificial intelligence (AI) is ushering in an era of potential transformation of journalism and media content. This essay considers one notable generative AI platform called ChatGPT made available to the public in 2022 for free use. ChatGPT allows users to enter text prompts and rapidly generates text responses drawn from its knowledge acquired via machine learning in engagement with the internet. This essay is coauthored by a human journalism and media professor in collaboration with ChatGPT. The essay demonstrates the capacity and limitations of ChatGPT and offers reflections on the implications of generative AI for journalism and media education.

  9. Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT

    Rosario Michel-Villarreal, E. Vilalta-Perdomo, D. Salinas-Navarro, et al. · 2023 · Education Sciences · 798 citations

    ChatGPT is revolutionizing the field of higher education by leveraging deep learning models to generate human-like content. However, its integration into academic settings raises concerns regarding academic integrity, plagiarism detection, and the potential impact on critical thinking skills. This article presents a study that adopts a thing ethnography approach to understand ChatGPT’s perspective on the challenges and opportunities it represents for higher education. The research explores the potential benefits and limitations of ChatGPT, as well as mitigation strategies for addressing the identified challenges. Findings emphasize the urgent need for clear policies, guidelines, and framewor

  10. ChatGPT in higher education: Considerations for academic integrity and student learning

    Miriam Sullivan, Andrew Kelly, Paul McLaughlan · 2023 · Journal of Applied Learning & Teaching · 777 citations

    The release of ChatGPT has sparked significant academic integrity concerns in higher education. However, some commentators have pointed out that generative artificial intelligence (AI) tools such as ChatGPT can enhance student learning. Consequently, academics should adapt their teaching and assessment practices to embrace the new reality of living, working, and studying in a world where AI is freely available. Despite this important debate, very little academic literature has been published on ChatGPT and other generative AI tools. This article uses content analysis to examine news articles (N=100) about how ChatGPT is disrupting higher education, concentrating specifically on Australia, Ne

  11. The role of ChatGPT in higher education: Benefits, challenges, and future research directions

    Tareq Rasul, Sumesh Nair, Diane Robyn Kalendra, et al. · 2023 · Journal of Applied Learning & Teaching · 544 citations

    This paper examines the potential benefits and challenges of using the generative AI model, ChatGPT, in higher education, in the backdrop of the constructivist theory of learning. This perspective-type study presents five benefits of ChatGPT: the potential to facilitate adaptive learning, provide personalised feedback, support research and data analysis, offer automated administrative services, and aid in developing innovative assessments. Additionally, the paper identifies five challenges: academic integrity concerns, reliability issues, inability to evaluate and reinforce graduate skill sets, limitations in assessing learning outcomes, and potential biases and falsified information in info

  12. ChatGPT and the rise of generative AI: Threat to academic integrity?

    Damian Eke · 2023 · Journal of Responsible Technology · 501 citations

    The emergence of OpenAI's ChatGPT has put intense spotlight on Generative AI (Gen-AI) systems and their possible impacts on Academic integrity. This paper provides an overview of the current arguments around ChatGPT and Academic integrity and concludes that although these technologies are capable of revolutionising academia, the way ChatGPT and other generative AI systems are used could surely undermine academic integrity. However, to ensure that the risks to academic integrity are mitigated for greater maximisation, institutional and multi-stakeholder efforts are required.

  13. Generative AI and Academic Integrity in Higher Education

    Sathy Akter* · 2026 · British Journal of Arts and Humanities · 185 citations

    This research report examines the impact of Generative Artificial Intelligence (GenAI) on academic integrity in higher e­ducation on a global scale while specifically analyzing professional education in the USA. In this era marked by the widespread presence of Large Language Models like ChatGPT, DeepSeek and Gemini, the traditional ways of assessment are challenged as never before. This study refers to the literature published in the last five years (2021-2026) to assess the pedagogical, ethical, and technical aspects of the use of AI. The analysis finds that there seems to be an important change in the "honor code" approach of the traditional system for a more complex system that has been r

  14. The impact of generative AI on academic integrity of authentic assessments within a higher education context

    Alexander K. Kofinas, C. Tsay, D. Pike · 2025 · Br. J. Educ. Technol. · 128 citations

    Generative AI (hereinafter GenAI) technology, such as ChatGPT, is already influencing the higher education sector. In this work, we focused on the impact of GenAI on the academic integrity of assessments within higher education institutions, as GenAI can be used to circumvent assessment approaches within the sector, compromising their quality. The purpose of our research was threefold: first, to determine the extent to which the use of GenAI can be detected via the marking and moderation process; second, to understand whether the presence of GenAI affects the marking process; and finally, to establish whether authentic assessments can safeguard academic integrity. We used a series of experim

  15. Generative artificial intelligence (Gen-AI) in pharmacy education: Utilization and implications for academic integrity: A scoping review

    R. Mortlock, C. Lucas · 2024 · Exploratory Research in Clinical and Social Pharmacy · 64 citations

    Introduction Generative artificial intelligence (Gen-AI), exemplified by the widely adopted ChatGPT, has garnered significant attention in recent years. Its application spans various health education domains, including pharmacy, where its potential benefits and drawbacks have become increasingly apparent. Despite the growing adoption of Gen-AIsuch as ChatGPT in pharmacy education, there remains a critical need to assess and mitigate associated risks. This review exploresthe literature and potential strategies for mitigating risks associated with the integration of Gen-AI in pharmacy education. Aim To conduct a scoping review to identify implications of Gen-AI in pharmacy education, identify

  16. Academic Integrity In The Age Of Generative AI: Perceptions And Responses Of Vietnamese EFL Teachers

    Ngo Cong-Lem, T. Tran, Tat Thang Nguyen · 2024 · Teaching English With Technology · 47 citations

    This study examines the perceptions and responses of Vietnamese teachers of English as a Foreign Language (EFL) to academic integrity concerns that arise from the use of AI, specifically chatbots like ChatGPT, in foreign language education. The study employed an open-ended survey to collect data from 31 Vietnamese EFL teachers who were asked to share their views on AI-based academic dishonesty, identify perceived causes, outline consequences for students engaging in AI-based plagiarism, and articulate their pedagogical responses to the issue. The study found that teachers primarily attributed students’ AI-driven plagiarism to a deficiency in original ideas, poor learning attitudes and motiva

  17. Student Perceptions of AI-Assisted Writing and Academic Integrity: Ethical Concerns, Academic Misconduct, and Use of Generative AI in Higher Education

    Brady Lund, Nishith Reddy Mannuru, Zoë Abbie Teel, et al. · 2025 · AI in Education · 25 citations

    The rise of generative AI in higher education has disrupted our traditional understandings of academic integrity, moving our focus from clear-cut infractions to evolving ethical judgment. In this study, a survey of 401 students from major U.S. universities provides insight into how beliefs, behaviors, and policy awareness intersect in shaping how students interact with AI-assisted writing. The findings indicate that students’ ethical beliefs—not institutional policies—are the strongest predictors of perceived misconduct and actual AI use in writing. Policy awareness was found to have no significant effect on ethical judgments or behavior. Instead, students who believe AI writing is cheating

  19. Generative AI in Higher Education: Educators' Perspectives on Academic Learning and Integrity

    Naghmeh M. Aghaee, John Vrågård, Freddie Brorsson · 2024 · European Conference on e-Learning · 14 citations

    Generative Artificial Intelligence (Gen AI), exemplified by models such as ChatGPT, has rapidly advanced, becoming a significant force in various sectors, including higher education. ChatGPT, a leading application of Gen AI, utilizes large language models (LLMs) to generate human-like text, providing capabilities that range from answering complex questions to facilitating software development. As these tools become increasingly integrated into academic environments, their impact on teaching and learning processes has become more under focus. However, there are not many studies focusing on the impact of such systems on students’ performance and the use of such systems. This study therefore ex

  21. Generative AI in Science Education: A Learning Revolution or a Threat to Academic Integrity? A Bibliometric Analysis

    M. D. H. Wirzal, N. A. H. Md Nordin, N. S. Abd Halim, et al. · 2024 · Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika · 12 citations

    The integration of generative artificial intelligence (AI) in Science, Technology, Engineering, and Mathematics (STEM) education presents transformative opportunities alongside significant challenges. This study investigates the dual impact of generative AI on STEM learning outcomes and academic integrity through a comprehensive bibliometric analysis employing co-citation, keyword analysis, and trend mapping. The results reveal that AI tools such as ChatGPT have revolutionized personalized learning by offering tailored feedback, enhancing critical thinking, and improving student engagement. However, these advancements are tempered by concerns over academic misconduct, particularly plagiarism

  22. Modeling the Influence of Generative AI Writing Tools on Academic Integrity and Writing Proficiency in Higher Education: A Structural Equation Modeling Approach

    Omar J. Alkhatib, Sadaf Raja, Asadullah · 2025 · Research Journal for Social Affairs · 5 citations

    The integration of Generative AI writing tools in higher education has transformed the landscape of academic writing, presenting both opportunities and challenges for teachers and students. This study examines the effect of the GenAI writing tools on the academic integrity and the writing proficiency of students using a quantitative cross-sectional survey design. The study targeted undergraduate students in Punjab, Pakistan, utilizing a stratified purposive sampling strategy to select 400 participants from six representative universities (three public and three private). All participants were active users of GenAI tools such as ChatGPT, Grammarly, QuillBot and Google Gemini. Data were analyz

  23. Redesigning Assessments in Business Education: Addressing Generative AI's Impact on Academic Integrity

    Faisal Qureshi · 2024 · International Journal of Science and Research (IJSR) · 3 citations

    Generative AI technologies, including ChatGPT, DALL·E, and others, are increasingly prevalent in tertiary business education. While these tools offer enhanced learning opportunities and aid creativity, they also introduce new challenges for assessment design, raising concerns about academic integrity, skill development, and learning outcomes. This paper examines the implications of generative AI on traditional assessment methods in tertiary business education and advocates for a reconsideration of assessment frameworks to ensure academic integrity and authenticity in student learning. Drawing from secondary data, studies, and educational reports, the paper offers a set of recommendations for

  24. Adoption of Generative AI and Learning Analytics for Personalized Learning in Nigerian Higher Education: Effects on Student Engagement, Learning Outcomes, and Academic Integrity

    Ayonote Elenode · 2026 · Engineering and Applied Sciences · 1 citations

    This study examines the integration of generative artificial intelligence (GenAI) and learning analytics (LA) in fostering personalized learning within Nigerian higher education institutions. Specifically, it explores how these emerging technologies influence student engagement, academic performance, and perceptions of academic integrity in digitally mediated learning environments. A mixed-method research design was adopted, involving 420 undergraduate students and 60 academic staff drawn from three Nigerian universities. Quantitative data were collected through structured questionnaires assessing GenAI usage patterns, learning analytics engagement, levels of digital literacy, and integrity

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