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Research papers on Generative AI in education

Recent and highly-cited academic work on generative ai in education, gathered from Semantic Scholar, CrossRef and OpenAlex.

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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 · 3,837 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 · 2,773 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 · 2,148 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 · 1,903 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 · 1,768 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 · 1,705 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 · 929 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, Eliseo Luis Vilalta-perdomo, David Ernesto Salinas-Navarro, et al. · 2023 · Education Sciences · 776 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 · 757 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 · 534 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 · 491 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: A Systematic Review and Research Agenda

    Kyle Bittle, Omar El-Gayar · 2025 · Information · 157 citations

    This systematic literature review rigorously evaluates the impact of Generative AI (GenAI) on academic integrity within higher education settings. The primary objective is to synthesize how GenAI technologies influence student behavior and academic honesty, assessing the benefits and risks associated with their integration. We defined clear inclusion and exclusion criteria, focusing on studies explicitly discussing GenAI’s role in higher education from January 2021 to December 2024. Databases included ABI/INFORM, ACM Digital Library, IEEE Xplore, and JSTOR, with the last search conducted in May 2024. A total of 41 studies met our precise inclusion criteria. Our synthesis methods involved qua

  14. 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 · 22 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

  18. Faculty and Student Perceptions of Generative AI Use, ChatGPT and Academic Integrity: Connecting Findings to Assessment Redesign

    Han Nee Chong, Eugene Guillian · 2026 · Intersection: A Journal at the Intersection of Assessment and Learning

    This study examines faculty and student perceptions of generative artificial intelligence (GenAI), particularly ChatGPT, and its implications for academic integrity and assessment design in higher education. Using a cross-sectional survey design, quantitative and qualitative data were collected from 82 faculty and 190 students to explore attitudes, experiences, and practices related to AI use. Findings indicate broad recognition of GenAI’s potential to enhance learning efficiency and feedback, alongside concerns about academic dishonesty and the erosion of critical thinking and writing skills. From an assessment perspective, these concerns highlight the importance of designing tasks that mak

  19. Purpose before policy: academic integrity, generative AI, and rhetorical stance

    Tristan B. Taylor, Travis LaCroix · 2026 · Higher Education

    Abstract The release of ChatGPT in 2022 sparked polarised responses in higher education, from rapid curricular adoption to warnings about academic misconduct and threats to academic integrity. This article argues that whether generative AI (GenAI) use constitutes misconduct depends on a prior question: what is the university’s purpose? We contend that (apparent) rising GenAI-related misconduct cases reflect structural incoherence in the neo-liberal university, where technological enthusiasm, corporate influence, and policy enforcement often conflict. Such misalignment produces moral and institutional ambiguity, leaving students accountable for behaviours implicitly shaped b

  20. Navigating the AI-Education Nexus: Mitigating Academic Integrity Challenges in the Era of Generative AI

    Patrick Buckland, Marian Carcary · 2026 · Irish Journal of Technology Enhanced Learning

    Generative AI is reshaping teaching and assessment in higher education, but its capacity for misuse raises new concerns about academic integrity. This study examines approaches that higher education educators can take to safeguard honesty in students’ academic work while also harnessing AI to enrich learning and evaluation. Based on a systematic literature review (SLR) method, this study identified five interconnected strategic themes: (1) Policy and Guidelines for AI in Education; (2) AI Education and Training; (3) Attitudes towards GenAI in Education; (4) Transparency, Communication, and Engagement; and (5) Assessment Design and Format. These elements are integrated into a holistic concept

  21. Generative AI in Academic Chinese Writing for Native speakers: A Case Study of ChatGPT and Ernie Bot

    Su Yuan, Qiyao Ma, Ka Ching Chau, et al. · 2026 · STiLE - Scholarship of Teaching in Language Education

    With the rise of Generative Artificial Intelligence (GenAI), academic writing has undergone significant changes, prompting educators to adapt their teaching methods. This qualitative case study explores the integration of GenAI in academic Chinese writing education for native Chinese speakers within the context of Hong Kong universities. Through systematic evaluation of ChatGPT 3.5 and Ernie Bot 3.5 across academic writing tasks from a Chinese communication skills course, this study examines how GenAI tools can help students enhance their academic writing skills. GenAI performance is evaluated across content, structure, and language use in academic Chinese writing. Findings indicate that whi

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