Prevent AI-assisted plagiarism through student education, signed declarations, draft submissions, clear guidelines, and close monitoring¶

Strategy · All strategies
Evidence · 3 claims (3 for) · 2 studies (2 theoretical), q2 · 0 of 2 report an effect size · 2 claims rest on one study

Description¶

The article lists staff strategies for preventing plagiarism with ChatGPT: educating students on what plagiarism is and why it is wrong, requiring written declarations that work is the student's own, requiring drafts for review before final submission, setting clear guidelines on when and how GPT-3 may be used and how AI-generated text must be cited, and monitoring student work closely, including asking students to present work in class.

Design Implications¶

Context¶

Requirements¶

• Clear guidelines communicated to students on appropriate use and proper citation and attribution of AI-generated text

Constraints¶

Target Learners¶

• higher education students

Target Learning Goals¶

• academic integrity
• understanding of plagiarism and its consequences

Claims¶

• Most of the article's body text was generated by ChatGPT from author prompts, and all references ChatGPT inserted were fictional [+W]
• Google Trends data show ChatGPT search interest surged globally within weeks of its November 2022 public release, with plagiarism among the top related queries [+W]
• Human markers detect purchased contract-cheating assignments at low rates, though priming and authorship-analysis software improve detection [+W]

Related Strategies¶

• Detect machine-generated writing by checking citations, originality, factual errors, grammar, contextual awareness, and with language-analysis tools
• Redesign assessments to require critical thinking, originality, interactive activities, and real-time or proctored formats
• Institutional integrity programs combining ethical AI-use guidelines, clear definitions of dishonesty, and risk-awareness education
• Replace detector-centred assessment with a four-stage process-oriented model: declared starting point, versioned drafting, process artefacts, and targeted oral verification
• Implement preventative measures: student awareness programs and regular professional development training for educators
• Develop clear institutional GenAI policies, communicate them, raise awareness, and promote digital literacy
• Assessment design levers that make learning visible and reduce the payoff from generic generated text

Examples¶

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Key Sources¶

• Debby R. E. Cotton, Peter A. Cotton & J. Reuben Shipway (2024) Chatting and cheating: Ensuring academic integrity in the era of ChatGPT, Innovations in Education and Teaching International, 61:2, 228-239. https://doi.org/10.1080/14703297.2023.2190148