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January 04.2025

2 Minutes Read

Is Process Tracking the Answer to AI Cheating in Online Education?

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Exploring the Use of Document Histories in AI Cheating Detection

In today's digital education landscape, the concept of 'show your work' has evolved significantly. With AI tools such as ChatGPT becoming increasingly sophisticated, educators seek innovative methods to ensure academic integrity. One such method is 'process tracking,' wherein students are asked to share the version history of their documents. This practice is being adopted by instructors who view it as a potential alternative to AI detectors, notorious for their inaccuracies, particularly impacting ESL students.

Balancing Privacy and Integrity: The Debate Over Process Tracking

The emergence of process tracking has sparked a debate among educators. While some see it as a reliable means to detect AI-written content, others, like Leonardo Flores, argue it raises privacy concerns, potentially likening it to surveillance. Detractors believe it fosters an environment of suspicion, as pointed out in a recent blog post by a prominent academic task force. The challenge lies in balancing the need for authenticity with respecting student privacy.

Technological Tools and Their Roles in Academic Settings

Various technological tools facilitate process tracking, offering insights into a student's writing process. Anna Mills, an instructor from the College of Marin, implements extensions such as Revision History and Grammarly's Authorship, providing detailed reports on document authorship. These tools compile data showing writing patterns, pasting actions, and AI content presence, thus granting educators a comprehensive view of a student's work process.

Future Predictions and Trends in Academic Integrity and AI

As education technology evolves, the debate over AI's role in education will intensify. The methods for maintaining academic integrity must adapt, raising questions about future practices. Will process tracking become a standard protocol, or will the search for technologically advanced yet privacy-conscious alternatives prevail? Educators, students, and EdTech developers must collaborate to find balanced, effective solutions for integrity without infringing on privacy.

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Is Process Tracking the Answer to AI Cheating in Online Education?

Exploring the Use of Document Histories in AI Cheating Detection

Balancing Privacy and Integrity: The Debate Over Process Tracking

Technological Tools and Their Roles in Academic Settings

Future Predictions and Trends in Academic Integrity and AI

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