AI Tools for Teaching and Learning

In partnership with CTE, DSS, ATC, and other departments, we'd like to remind you of these unversity standards and resources.

  • The CTE Director sits on the Faculty Senate Committee on Excellence in Teaching (CET). Per the bylaws, the CET is responsible for reviewing LMU’s Academic Honesty Policy. This Fall, the CET has agendized a review of the policy in light of AI in Higher Education. This work will unfold over the course of the semester and inform future CTE Programming, changes to syllabus language, and resources needed to support faculty.

    Current university policy can be found at https://academics.lmu.edu/honesty/. For an additional resource, refer to the LMU Honor Code and Process.  

    ** It is strongly recommended that you provide a more detailed statement about plagiarism relative to the specific assignments in your class and that you clearly identify the consequences of academic dishonesty.  

     

    Current Suggested Academic Honesty Syllabus Statements via CTE Syllabus Appendix:

    Loyola Marymount University is a community dedicated to academic excellence, student-centered education, and the Jesuit and Marymount traditions. As such, the University expects all members of its community to act with honesty and integrity at all times, especially in their academic work. Academic honesty requires that all members of the LMU community act with integrity, respect their own intellectual and creative work as well as that of others, acknowledge sources consistently and completely, act honestly during exams and on assignments, and report results accurately. As an LMU Lion, by the Lion’s Code, you are pledged to join the discourse of the academy with honesty of voice and integrity of scholarship. 

    Academic dishonesty will be treated as an extremely serious matter, with serious consequences that can range from receiving no credit for assignments/tests to expulsion. It is never permissible to turn in any work that has been copied from another student or copied from a source (including the Internet) without properly acknowledging/citing the source. It is never permissible to work on an assignment, exam, quiz, or any project with another person unless your instructor has indicated so in the written instructions/guidelines. It is your responsibility to make sure that your work meets the standard of academic honesty set forth in the “Academic Honesty Policy” found at https://academics.lmu.edu/honesty/.

  • The CTE Director, Karie Huchting, worked with Associate Provost, Jose Badenes, to review the literature on AI in Higher Education to determine changes to the syllabus checklist language for LMU. Given that AI looks different across the disciplines, and in alignment with other universities, we decided to encourage faculty to create their own course policy about the use of AI.

    The syllabus appendix provides a link to more resources for faculty to consider when crafting their statement on AI
    use in classes. This document provides a list of Resources for Educators. The CTE Director also started a website with articles on AI.

    Some Suggestions

    When developing what your AI policy will be, consider these basic approaches as starting points.

    • Completely Prohibited

    AI-generated submissions are not permitted in this course.  Since writing, critical thinking, and research are learning outcomes for this course, all student work must be original. When assigned, collaborative work requires students to be subject to the same requirements.  All sources must cited.  

    Sample from Harvard University: We expect that all work students submit for this course will be their own. In instances when collaborative work is assigned, we expect for the assignment to list all team members who participated. We specifically forbid the use of ChatGPT or any other generative artificial intelligence (AI) tools at all stages of the work process, including preliminary ones. Violations of this policy will be considered academic misconduct. We draw your attention to the fact that different classes at Harvard could implement different AI policies, and it is the student’s responsibility to conform to expectations for each course. 

    Students in this course are NOT allowed to use advanced automated agents (artificial intelligence or machine learning tools including, but not limited to, ChatGPT) for any assignments, assessments, projects, or otherwise. Each student must complete each assignment originally and authentically, without substantive assistance from advanced automated agents.

    • Allowed with Permission

    Students in this course are allowed to use advanced automated agents (artificial intelligence or machine learning tools including, but not limited to, ChatGPT) for specific assignments, assessments, projects, or otherwise IF they have obtained written permission directly from the instructor in advance. Otherwise, each student must complete each assignment originally and authentically, without substantive assistance from advanced automated agents.

    • Allowed with Acknowledgement

    Students in this course are allowed to use advanced automated agents (artificial intelligence or machine learning tools including, but not limited to, ChatGPT) for assignments, assessments, projects, or otherwise IF that use is properly cited and credited according to a style convention.

    For example:

    "Chat-GPT-3. (YYYY, Month DD of prompt/query)."

    "Text of your prompt/query."

    "Generated using OpenAI (https://chat.openai.com/)".

    • Completely Allowed with Caveat

    Students in this course ARE allowed to use advanced automated agents (artificial intelligence or machine learning tools including, but limited to, ChatGPT) for assignments, assessments, projects, or otherwise. But you are accountable for and will be held responsible for, any incorrect information, inaccurate facts, hallucinated credit, and the like. All of the university’s policies about academic honesty, integrity, and authenticity still apply.

  • Do Your Homework

    Review several items from our list of supported tools and explore ones that apply to your discipline (i.e. writing tools, art tools, coding tools, etc.) Doing this can give you a sense of what occurs and what results are typical.

    State Your Acceptable Use Terms

    • Establish for your students what AI tools are allowable. For example, spell checkers or calculators.

    • Offer a list of allowable tools for your course and demonstrate your familiarity with each.

    • Define what your students are responsible for and how you will hold them accountable.

    Adapt Your Approach

    Aim to make your assignments require your students to demonstrate their learning. Tie your assessments to specific information that you covered during your course. Below are teaching strategies that give students greater control over their environment, learning, and success:

    1. If a student uses text generated from an LLM and passes it off as their own writing, they are in violation of the university’s academic honor code. Copying full sentences and paragraphs is considered plagiarism. Providing concrete examples to students of what constitutes written plagiarism empowers students to make informed choices about how and whether to use particular tools to support their writing.

    2. Acknowledge temptations.  It is best not to ignore these tools; Acknowledge them and demonstrate their limits and biases.  

    3. Clarify your definition of cheating.

    4. Create a class pledge.

    5. Employ teaching strategies that empower students to submit their own work.  For example, for writing assignments, incentivize outlines, drafts, pre-writing, and other kinds of notes that demonstrate process.   Use frequent formative assessments

    6. Use more frequent, lower-stakes summative assessments.

    7. Divide large assignments into small steps.

    8. Make assessments and assignments meaningful and course-specific.

    9. Have students use AI tool in thoughtful, discipline-driven ways.  

  • Material generated from LLM in course materials or student assignments should be properly referenced. Transparency is key, When possible, you may want to select citation guidelines and share them with your students using the style guide appropriate to your discipline. Currently, the APA style guide, MLA style guide, and Chicago Manual of Style include recommendations and examples for citing LLM-generated materials that you can share with students.

    For example, consider having students to:

    • Include an in-text citation with reference to the LLM model, i.e. include text in quotes and reference the author, i.e. (OpenAI, 2023).
    • Provide the text or prompt they used for the LLM to generate a response and include what LLM model, date, and version they used.

    Similarly, if instructors choose to use LLMs to help in the preparation of course materials, such work should be acknowledged and attributed.