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Investigating the Transformative Impact of Generative AI on Academic Integrity Across Diverse Educational Domains
8 references·1 citing·36 second hop
Investigating the Transformative Impact of Generative AI on Academic Integrity Across Diverse Educational Domains (2024)Investigating the Transformative Impact o…Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning (2023)Education in the Era of Gener…Chatting and cheating: Ensuring academic integrity in the era of ChatGPT (2023)Chatting and cheating: Ensuri…ChatGPT and the rise of generative AI: Threat to academic integrity? (2023)ChatGPT and the rise of gener…ChatGPT and Generative AI Guidelines for Addressing Academic Integrity and Augmenting Pre-Existing Chatbots (2023)ChatGPT and Generative AI Gui…Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond (2023)Academic Integrity considerat…A Conversation on Artificial Intelligence, Chatbots, and Plagiarism in Higher Education (2023)A Conversation on Artificial …Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry (2020)Artificial intelligence versu…Academic integrity: a review of the literature (2012)Academic integrity: a review …Comparative Examination of Master’s Students’ and Faculty Members’ Maintenance of Academic Integrity in the Age of AI (2025)Comparative Examination of Ma…Theory in Practice: Increasing Professional Effectiveness (1976)Theory in Practice: Increasing Professional Effectiveness (1976)Methods of coping with social desirability bias: A review (1985)Integrity: What it is and Why it is Important (2018)Mapping the landscape of academic integrity education programs: what approaches are effective? (2019)Is it harmful or helpful? Examining the causes and consequences of generative AI usage among university students (2024)I.—COMPUTING MACHINERY AND INTELLIGENCE (1950)Unskilled and unaware of it: How difficulties in recognizing one's own incompetence lead to inflated self-assessments. (1999)Computing Machinery and Intelligence (1950) (2004)Shaping the Future of Education: Exploring the Potential and Consequences of AI and ChatGPT in Educational Settings (2023)The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review (2024)Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics (2023)ChatGPT is fun, but not an author (2023)ChatGPT listed as author on research papers: many scientists disapprove (2023)Revolutionizing education with AI: Exploring the transformative potential of ChatGPT (2023)The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT (2023)The ethics of ChatGPT – Exploring the ethical issues of an emerging technology (2023)Cognitive Offloading (2016)Balancing Technology, Pedagogy and the New Normal: Post-pandemic Challenges for Higher Education (2021)On the Opportunities and Risks of Foundation Models (2021)New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution (2023)Systematic review of research on artificial intelligence applications in higher education – where are the educators? (2019)A comprehensive AI policy education framework for university teaching and learning (2023)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)Scaffolding and Achievement in Problem-Based and Inquiry Learning: A Response to Kirschner, Sweller, and Clark (2006) (2007)A Lifecycle Approach for Artificial Intelligence Ethics in Energy Systems (2024)Addressing Academic Dishonesty in Higher Education: A Systematic Review of Generative AI’s Impact (2025)What is assessment for learning? (2011)ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? (2023)Collaborating With ChatGPT: Considering the Implications of Generative Artificial Intelligence for Journalism and Media Education (2023)Students’ voices on generative AI: perceptions, benefits, and challenges in higher education (2023)Using thematic analysis in psychology (2006)The Advantages and Disadvantages of Using Qualitative and Quantitative Approaches and Methods in Language “Testing and Assessment” Research: A Literature Review (2016)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education (2023)What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature (2023)
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References

  • 2023Chatting and cheating: Ensuring academic integrity in the era of ChatGPT4,679 cited
  • 2023Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning3,935 cited
  • 2023Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond1,269 cited
  • 2023A Conversation on Artificial Intelligence, Chatbots, and Plagiarism in Higher Education660 cited
  • 2023ChatGPT and the rise of generative AI: Threat to academic integrity?634 cited
  • 2012Academic integrity: a review of the literature442 cited
  • 2020Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry441 cited
  • 2023ChatGPT and Generative AI Guidelines for Addressing Academic Integrity and Augmenting Pre-Existing Chatbots42 cited

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  • 2025Comparative Examination of Master’s Students’ and Faculty Members’ Maintenance of Academic Integrity in the Age of AI11 cited

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