Chicago, United States
Reviewed record
5 reviewed claims
Source Status
标准化值: official_ai_guidance_found
原始证据
证据 1This guideline on academic honesty and generative AI is intended to provide guidance for both students and faculty on engaging with generative AI productively, while still maintaining a rigorous and honest academic environment.
Academic Integrity
标准化值: ai_use_course_objective_dependent
原始证据
证据 1This means that each syllabus needs to clearly define what the learning objectives are and be clear as to what is and is not allowed in terms of "outside" resources to demonstrate proficiency with that learning objective.
Academic Integrity
标准化值: misrepresentation_dishonesty
原始证据
证据 1Therefore, misrepresentation of proficiency by (getting either directly or indirectly someone else’s) product is dishonesty. It cheats the student of their needed personal development, and it is academic dishonesty, which results in disciplinary action.
教学
标准化值: syllabus_ai_expectations_guidance
原始证据
证据 1In the interest of transparency and academic integrity, faculty are asked to ensure their syllabus provides students with clear expectations regarding the use of AI in their courses. Below are recommended statements dependent on instructor expectations.
教学
标准化值: ai_assisted_grading_disclosure_sample_language
原始证据
证据 1"While I may use AI-assisted tools to support the grading process and provide formative feedback, this will be explicitly stated in the assignment instructions whenever such tools are used. Regardless of the tools involved, please be assured that I maintain final oversight, review, and ultimate responsibility for all assigned grades."
Source record
3 sources
iit.edu
iit.edu
iit.edu
Citation: University AI Policy Tracker. "Illinois Institute of Technology AI Policy Tracker record." Last checked May 17, 2026. https://eduaipolicy.org/universities/illinois-institute-of-technology
Original university source language remains canonical. This tracker is not an official university statement.
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