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Using Keystroke Behavior Patterns to Detect Nonauthentic Texts in Writing Assessments: Evaluating the Fairness of Predictive Models
13 references·0 citing·52 second hop
Using Keystroke Behavior Patterns to Detect Nonauthentic Texts in Writing Assessments: Evaluating the Fairness of Predictive Models (2024)Using Keystroke Behavior Patterns to Dete…The performance of large language models on quantitative and verbal ability tests: Initial evidence and implications for unproctored high‐stakes testing (2024)The performance of large lang…Detecting ChatGPT-generated essays in a large-scale writing assessment: Is there a bias against non-native English speakers? (2024)Detecting ChatGPT-generated e…Fairness, Accountability, Transparency, and Ethics (FATE) in Artificial Intelligence (AI) and higher education: A systematic review (2023)Fairness, Accountability, Tra…Algorithmic fairness in education (2022)Algorithmic fairness in educa…A systematic review of research on cheating in online exams from 2010 to 2021 (2022)A systematic review of resear…Algorithmic Bias in Education (2021)Algorithmic Bias in EducationThe many dimensions of algorithmic fairness in educational applications (2019)The many dimensions of algori…Aligning Keystrokes with Cognitive Processes in Writing (2019)Aligning Keystrokes with Cogn…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Modeling and Remodeling Writing (2012)Modeling and Remodeling Writi…Keystroke Analysis (2012)Keystroke AnalysisEffect size estimates: Current use, calculations, and interpretation. 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A Systematic Review (2023)ChatGPT, Copilot, Gemini, SciSpace and Wolfram versus higher education assessments: an updated multi-institutional study of the academic integrity impacts of Generative Artificial Intelligence (GenAI) on assessment, teaching and learning in engineering (2024)ChatGPT: The End of Online Exam Integrity? (2024)The global landscape of AI ethics guidelines (2019)Ethics of AI in Education: Towards a Community-Wide Framework (2021)AI Fairness in Data Management and Analytics: A Review on Challenges, Methodologies and Applications (2023)Using large language models to generate silicon samples in consumer and marketing research: Challenges, opportunities, and guidelines (2024)Investigating L2 writers' critical AI literacy in AI-assisted writing: An APSE model (2025)Chatting and cheating: Ensuring academic integrity in the era of ChatGPT (2023)AI chatbots: A disguised enemy for academic integrity? 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References

  • 2011Effect size estimates: Current use, calculations, and interpretation.5,186 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2021Algorithmic Bias in Education988 cited
  • 2012Modeling and Remodeling Writing892 cited
  • 2023Fairness, Accountability, Transparency, and Ethics (FATE) in Artificial Intelligence (AI) and higher education: A systematic review412 cited
  • 2022Algorithmic fairness in education301 cited
  • 2022A systematic review of research on cheating in online exams from 2010 to 2021236 cited
  • 2012Keystroke Analysis124 cited
  • 2009Looking at the keyboard or the monitor: relationship with text production processes83 cited
  • 2024Detecting ChatGPT-generated essays in a large-scale writing assessment: Is there a bias against non-native English speakers?66 cited
  • 2019Aligning Keystrokes with Cognitive Processes in Writing66 cited
  • 2019The many dimensions of algorithmic fairness in educational applications64 cited
  • 2024The performance of large language models on quantitative and verbal ability tests: Initial evidence and implications for unproctored high‐stakes testing33 cited

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