ChatGPT is a powerful language model developed by OpenAI that can generate text in response to user prompts. However, some educational institutions have expressed concerns about students using ChatGPT to cheat on assignments. As a result, many schools and universities have implemented measures to detect the use of ChatGPT in student submissions.
How Canvas Detects ChatGPT
One popular learning management system that has implemented measures to detect ChatGPT is Canvas. Canvas uses a combination of machine learning algorithms and natural language processing techniques to identify text generated by ChatGPT. Here are some of the ways Canvas detects ChatGPT:
- Unique phrases: Canvas looks for unique phrases that are commonly used in ChatGPT responses, such as “I am a computer program designed to assist and communicate with you.”
- Similarity scores: Canvas compares the text of student submissions to known ChatGPT responses and assigns a similarity score. If the similarity score is high enough, Canvas flags the submission as potentially generated by ChatGPT.
- Language patterns: Canvas analyzes the language patterns in student submissions to identify any unusual or unnatural phrasing that may be indicative of ChatGPT use.
Conclusion
While Canvas’s measures to detect ChatGPT are not foolproof, they represent an important step in combating academic dishonesty. By using machine learning algorithms and natural language processing techniques, Canvas is able to identify text generated by ChatGPT with a high degree of accuracy. As educational institutions continue to grapple with the challenges posed by AI-powered language models like ChatGPT, it will be important for them to develop and implement effective measures to detect their use in student submissions.
