Teaching & Learning
- Students who use generative AI must tell the instructor and properly cite the contribution; otherwise the use is treated as academic dishonesty
- In the MSW Field Education Manual, generative AI is permitted as a learning tool only within defined contexts and cannot replace a student's own contribution
When used appropriately, generative AI can be an effective training tool to enhance learning.
Generative AI produces new content from patterns learned from training data; it does not check for the veracity or accuracy of the input or output data. Although generative AI can be used as an effective learning tool, it should not replace students’ original work, critical thinking, or creativity. Generative AI platforms may be used as learning tools within defined contexts, but they cannot replace students' individual contributions. If you use generative AI tools, you must inform your instructor of this use and cite the contribution properly; otherwise, your actions would be considered academically dishonest and in violation of the NSU Code of Student Conduct.
- In the MSW Field Education Manual, generative AI is allowed for learning support when used appropriately as a training or learning tool
- The policy says it cannot replace original work, critical thinking, creativity, or individual contributions, and students must disclose and cite its use
When used appropriately, generative AI can be an effective training tool to enhance learning.
Generative AI produces new content from patterns learned from training data; it does not check for the veracity or accuracy of the input or output data. Although generative AI can be used as an effective learning tool, it should not replace students’ original work, critical thinking, or creativity. Generative AI platforms may be used as learning tools within defined contexts, but they cannot replace students' individual contributions. If you use generative AI tools, you must inform your instructor of this use and cite the contribution properly; otherwise, your actions would be considered academically dishonest and in violation of the NSU Code of Student Conduct.
Research
Academic Integrity
- In the MSW Field Education Manual, disclosure and citation of generative AI use are mandatory
- Students must inform the instructor and properly cite the AI contribution; failing to do so is treated as academic dishonesty
If you use generative AI tools, you must inform your instructor of this use and cite the contribution properly; otherwise, your actions would be considered academically dishonest and in violation of the NSU Code of Student Conduct.
- Undisclosed or unauthorized use of generative AI in the MSW program is considered academically dishonest
- Substantiated violations of Academic Honesty automatically result in dismissal from the program after due process
If you use generative AI tools, you must inform your instructor of this use and cite the contribution properly; otherwise, your actions would be considered academically dishonest and in violation of the NSU Code of Student Conduct.
The substantiation of the violation of Academic Honesty will automatically result in dismissal from the program (with due process completed).
Institutional & Administrative
DocuMark: Responsible AI Use for Academic Integrity
Knowing your institution's AI policy is step one. DocuMark helps enforce it fairly by empowering universities to manage AI-generated content, prevent cheating, and support student writing through responsible AI use.
Common Questions About Norfolk State University's AI Policies
Norfolk State University has defined AI policies in 4 of 12 categories, with an overall coverage score of 33%.
In the MSW Field Education Manual, disclosure and citation of generative AI use are mandatory. Students must inform the instructor and properly cite the AI contribution; failing to do so is treated as academic dishonesty.
Undisclosed or unauthorized use of generative AI in the MSW program is considered academically dishonest. Substantiated violations of Academic Honesty automatically result in dismissal from the program after due process.
No explicit data protection or approved AI platform policy is currently defined in the available policy sources.