Teaching & Learning
- The policy treats uncited AI-written content as plagiarism and applies to student work generally
- Students are prohibited from using artificial intelligence to write any portion of academic work unless they properly cite that use
Each student is responsible for the authenticity of their own work and to achieve their educational obligations in a fair and honest manner.
• Utilizing any type of Artificial Intelligence to write any portion of the work without proper citation.
- AI is not specifically named in the examination context, and this provision functions as a general cheating rule rather than an exam-specific AI policy
- The university prohibits use of unauthorized materials and unauthorized electronic devices during any assignment or exam, which by extension could encompass AI-enabled devices used without authorization
Cheating is the use of unauthorized materials that provides an unfair advantage on any assignment or exam. The following are examples of cheating:
• Looking at prepared notes, references, or unauthorized electronic device brought into a testing environment
Research
Academic Integrity
- Students must properly cite any use of artificial intelligence in their work
- The policy identifies failure to provide proper citation for AI-written content as plagiarism, and it states that APA is the citation standard used by the college
Plagiarism is the use of information borrowed from a source, without giving credit to that source. The current Publication Manual of the American Psychological Association (APA) is the standard for citation used at Trinity College of Nursing & Health Sciences. Any of the following, without full acknowledgement of the original source, is plagiarism:
• Utilizing any type of Artificial Intelligence to write any portion of the work without proper citation.
- The provided text does not mention AI detection software
- Suspected violations are handled through the Corrective Action Policy
- Faculty document and discuss substantiated concerns, and sanctions are at faculty discretion, including a zero or failing grade, mandatory resubmission with grade reduction, course failure, or dismissal
The Corrective Action Policy will be used to address violations of the Academic Honesty and Integrity policy.
If a violation of the Academic Honesty and Integrity policy is suspected by or reported to faculty, the faculty member will follow the process outlined in the Corrective Action Policy to document the concern and discuss the concern with the student.
If the concern is substantiated by evidence, corrective action is at the discretion of faculty and can include, but is not limited to, the following:
• Receiving a failing grade or a zero on of the assignment or exam
• Requiring the student to re-submit the original assignment, with a mandatory reduction in grade
• Receiving a failing grade for the course
• Dismissal from Trinity College of Nursing & Health Sciences
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 Trinity College of Nursing & Health Sciences's AI Policies
Trinity College of Nursing & Health Sciences has defined AI policies in 4 of 12 categories, with an overall coverage score of 33%.
Students must properly cite any use of artificial intelligence in their work. The policy identifies failure to provide proper citation for AI-written content as plagiarism, and it states that APA is the citation standard used by the college.
Suspected violations are handled through the Corrective Action Policy. Faculty document and discuss substantiated concerns, and sanctions are at faculty discretion, including a zero or failing grade, mandatory resubmission with grade reduction, course failure, or dismissal. The provided text does not mention AI detection software.
No explicit data protection or approved AI platform policy is currently defined in the available policy sources.