Immaculata University has defined AI policies across 11 of 12 policy categories, covering Academic Integrity, Institutional & Administrative, Research, Teaching & Learning. The university prohibits the use of AI tools in coursework unless explicitly permitted by instructors. 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. Research-related AI policies address manuscript preparation, data analysis, research ethics. At the institutional level, the university has established guidelines for faculty and staff AI use, data protection and approved AI tools, AI governance strategy.
Violations of this Code involve attempts to be dishonest or deceptive in the performance of academic work in or out of the classroom, alterations of academic records, alterations of official data on paper or electronic resumes, unauthorized collaboration with another student or students, or unauthorized use of Artificial Intelligence (A.I.) generated content.
Cheating also encompasses the provision or acceptance of any unauthorized assistance during an examination or assignment to be completed individually, including but not limited to talking to another student, viewing, or copying another student’s examination or assignment, making or receiving gestures from another student, employing A.I.-generated content, or engaging another person to complete an assessment or examination in place of the student.
The quotation or other use of another person’s or A.I.-generated words, ideas, logic, opinions, thoughts, or theories without use of quotation marks and acknowledgment of the source;
The paraphrasing of another person’s or A.I.-generated words, ideas, logic, opinions, thoughts, or theories without acknowledgment of the source;
Cheating also encompasses the provision or acceptance of any unauthorized assistance during an examination or assignment to be completed individually, including but not limited to talking to another student, viewing, or copying another student’s examination or assignment, making or receiving gestures from another student, employing A.I.-generated content, or engaging another person to complete an assessment or examination in place of the student.
Unauthorized communication during examinations. Any unauthorized communication may be considered automatic evidence of cheating.
Failure to complete examinations in a specifically assigned location.
As educators and students debate how artificial intelligence fits into the classroom, Immaculata University is among the first institutions nationwide to integrate the Magic School AI platform into its undergraduate teacher preparation programs.
Magic School is an AI-powered platform designed to support teachers with lesson planning, differentiation, communication and other essential aspects of classroom practice.
Immaculata’s faculty emphasizes responsible use of AI tools like Magic School.
“We want our students to understand how to use AI tools to enhance teaching and learning. AI should empower educators, not diminish their creativity or professional judgment.”
The quotation or other use of another person’s or A.I.-generated words, ideas, logic, opinions, thoughts, or theories without use of quotation marks and acknowledgment of the source;
The paraphrasing of another person’s or A.I.-generated words, ideas, logic, opinions, thoughts, or theories without acknowledgment of the source;
Copying or purchasing all or any portion of another’s academic, research, or creative work - even with the creator’s knowledge and permission - and submitting it, in part or in its entirety, as one’s own. This includes material available through the Internet or other electronic sources, including A.I. generated content, and any material that has copyright protection.
Falsification of Data, Information or Records: Furnishing or conspiring to furnish false information to the University by forgery, alteration, or misuse of, among other things, University documents, academic records, research data or professional or academic credentials is strictly prohibited.
Immaculata University’s RERB is responsible to review all research protocols involving human subjects conducted by faculty, students, and staff or researchers from outside agencies who request the use of Immaculata populations.
The RERB seeks to guide researchers in the ethical treatment and protection of human subjects by carefully reviewing all protocol submissions and through the use of informed consent documentation.
Immaculata University’s RERB is responsible to review all research protocols involving human subjects conducted by faculty, students, and staff or researchers from outside agencies who request the use of Immaculata populations.
Researchers are required to provide evidence of training in research ethics. The approved program is the Social-Behavioral-Education (SBE) Comprehensive through CITI . Certificates should be dated within three years of protocol submission.
All research to be conducted at Immaculata University requires the initial review and approval of the appropriate dean(s), administrators, and faculty members.
Upon the request’s approval by the Dean, the student or researcher must submit to the RERB a written protocol to conduct research using populations affiliated in any way with Immaculata University.
These materials must pass the review process affiliated with any research conducted by students attending Immaculata University, which includes but is not restricted to the RERB.
The quotation or other use of another person’s or A.I.-generated words, ideas, logic, opinions, thoughts, or theories without use of quotation marks and acknowledgment of the source;
The paraphrasing of another person’s or A.I.-generated words, ideas, logic, opinions, thoughts, or theories without acknowledgment of the source;
The quotation or other use of facts, statistics, or other data or materials that are not clearly common knowledge without acknowledgment of the source;
Recycling is defined as submission of a student’s work that has previously counted for credit in another course. Recycling is not allowed unless explicitly authorized by the faculty members of both courses in such a case, students must reference their previous work.
Violations of this Code involve attempts to be dishonest or deceptive in the performance of academic work in or out of the classroom, alterations of academic records, alterations of official data on paper or electronic resumes, unauthorized collaboration with another student or students, or unauthorized use of Artificial Intelligence (A.I.) generated content.
A finding of plagiarism may result in the imposition of a serious academic penalty such as, but not limited to, suspension, receipt of a failing grade, non-continuation or expulsion.
The designated Dean, at their discretion, and considering the nature of the infraction or if it is not a first-time offense may convene the Academic Conduct Committee to review the alleged infraction (s).
The Academic Conduct Committee must review the alleged infraction (s) and determine a sanction. Sanctions may include but are not limited to: precluding the ability to be in an honor society, non-admittance to academic events, educational/training requirements, dismissal from program of study, and expulsion from the University.
Magic School is an AI-powered platform designed to support teachers with lesson planning, differentiation, communication and other essential aspects of classroom practice.
Immaculata’s faculty emphasizes responsible use of AI tools like Magic School.
Kelly Doyle, Ed.D., associate professor of education, is training students to write and refine prompts that generate useful outputs.
Laura Eisemann, Ed.D., associate professor of education, also uses Magic School in her courses to help students develop lesson plans and brainstorm classroom activities that reach all learners regardless of their learning style.
Immaculata University is among the first institutions nationwide to integrate the Magic School AI platform into its undergraduate teacher preparation programs.
The University’s adoption of Magic School was spearheaded by Reed and Kristi Ringen, Ed.D., vice president for academic affairs and provost.
Immaculata University is among the first institutions nationwide to integrate the Magic School AI platform into its undergraduate teacher preparation programs.
Immaculata’s faculty emphasizes responsible use of AI tools like Magic School.
“Immaculata is proud to be an early adopter of AI in teacher preparation, giving our graduates a strategic advantage while preparing them to embrace the ethical use of AI that will define the future of how we teach and learn,” Ringen said. “This is a strategic investment in their success.”
The University’s adoption of Magic School was spearheaded by Reed and Kristi Ringen, Ed.D., vice president for academic affairs and provost.
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.
Immaculata University has defined AI policies in 11 of 12 categories, with an overall coverage score of 92%.
Immaculata University requires acknowledgment when students use AI-generated words, ideas, or other material. AI-generated content must be identified through quotation marks when applicable and acknowledgment of the source; previously submitted work also must be referenced when reuse is explicitly authorized.
The university defines sanctions and review procedures for AI-related academic misconduct, but the provided sources do not define a policy on AI detection tools. Unauthorized AI use can trigger instructor action, dean review, committee review, hearings, and sanctions up to dismissal or expulsion.
The provided sources identify Magic School AI as a platform the university has integrated into its undergraduate teacher preparation programs. However, the sources do not define a broader institutional data protection policy, information-classification rules, or a comprehensive list of approved and prohibited AI platforms.
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