Appalachian Bible College AI Policy

West VirginiaPrivateLast Updated: February 2026

Academic IntegrityTeaching & Learning
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Policy Coverage
25%3 of 12
Policy Set
Coursework
This university has a defined policy on AI use in coursework.
Required
Disclosure
Students must formally disclose and cite any AI assistance used when submitting academic work.
Active
Detection
The university has mechanisms in place to detect unauthorized AI use.
Not Defined
Governance
No formal AI governance structure or strategy has been published.
POLICY OVERVIEW

AI Policy Summary

Appalachian Bible College has defined AI policies across 3 of 12 policy categories, covering Academic Integrity, Teaching & Learning. AI use in coursework is addressed on a case-by-case basis, with policies set at the instructor level. Students are required to disclose and attribute AI-generated content in their academic work. The university employs detection and enforcement mechanisms for unauthorized AI use.

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Teaching & Learning

U1Coursework & Assignments
Attribution Required
  • Students may not use AI to generate responses or papers unless a professor gives explicit permission for a specific assignment

If a professor gives explicit permission for the use of AI, then all use should be documented in the assignment submission.

U2Examinations & Assessments
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No policy defined yet
U3Learning & Study Assistance
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No policy defined yet
U4Code Generation & Programming
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No policy defined yet
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Research

U5Research Writing & Manuscript Preparation
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No policy defined yet
U6Research Data & Analysis
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No policy defined yet
U7Research Ethics & Integrity
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No policy defined yet
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Academic Integrity

U8Disclosure & Attribution Requirements
Citation Required
  • If explicit permission is given to use AI, students must document all use in their submission, including providing the exact wording of the prompts used and a link to the AI response

If a professor gives explicit permission for the use of AI, then all use should be documented in the assignment submission. The student should include the exact wording of prompts given and a link to the resulting response.

U9Detection & Enforcement
Enforcement Defined
  • The university treats unauthorized use of AI to complete assignments as plagiarism and academic dishonesty
  • Students are prohibited from using AI to generate responses or papers unless the professor explicitly permits it and all such use is properly documented; violations are handled under the school's academic dishonesty process and may result in course failure or dismissal

Definition: “Submitting any work that has been copied from another source or written by another person or generated by an artificial intelligence source and represented as your own, without proper acknowledgment and documentation.”

“Any student who is caught cheating or plagiarizing in any manner (including using AI to generate responses or papers) may receive a grade of “0” on the assignment, a grade of “F” in the course, or be dismissed from the college. Two offenses automatically result in suspension for at least one semester. A third offense results in dismissal from the college.”

“If a professor gives explicit permission for the use of AI, then all use should be documented in the assignment submission. The student should include the exact wording of prompts given and a link to the resulting response.”

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Institutional & Administrative

U10Faculty & Staff Use
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No policy defined yet
U11Institutional Data Protection & Approved AI Platforms
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No policy defined yet
U12University AI Governance & Strategy
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No policy defined yet

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.

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Disclaimer:* All university AI policy information presented on this platform is compiled from publicly available information, official university websites, and related academic sources. This data reflects information available at the time of last verification as on 27th February 2026. University and institution names referenced on this platform are the property and trademarks of their respective institutions. Their inclusion does not imply any affiliation with, endorsement by, or partnership with those institutions. Policy coverage scores and categorical indicators are automated assessments derived from available documentation and are provided for informational and comparative purposes only. They do not constitute legal, academic, or compliance advice. Users are advised to exercise their own judgement and independently verify all policy information directly with the respective university before making any academic or institutional decisions. For any queries or corrections, please contact us at support@trinka.ai