The prevalence of generative AI models has disrupted faculty capacity to engage deeply with their students in the work of critical thinking, assessing evidence, and demonstrating learning. The widespread presence of generative AI has forced a widespread re-evaluation of how we assess student learning. For decades, the take-home essay, the research paper, and the report have been the mainstays of assessment.
We are all experimenting and learning how these technologies impact our classes. Some assignments that faculty have created in the past may be less valuable to students’ learning and more likely to be reproduced easily by tools such as ChatGPT or MS Co-pilot. On the other hand, these new tools can also offer unique opportunities to advance student learning and create new teaching opportunities.
Workshops held at 4 PM to engage faculty in conversation about how we want to Teach in the AI Context at Centre.
Thursday, March 5 - AI for Everyone
4 PM | Olin 128
At this workshop, Tom Allen will share thoughts about how to learn about AI and its impact on education and January Haile will initiate a discussion on responsible use.
Future workshop dates and topics:
Thursday, April 2 - AI Resistant Assignments
Stacey Peeples will share how she has craft in-class writing assignment.
Tuesday, May 5 - Assignments that Promote Critical Engagement with AI
Speaker TBD
AI User Groups - A series of topics and a “sandbox” for community learning about AI tools and resources to learn about using AI. The CTL has a premium level ChatGPT account available for experimentation and “safe engagement” with AI tools. Nisha Gupta will facilitate these sessions. The first topic meetings are held on Friday, February 27th (3 – 4pm, on Teams) or Tuesday, March 3 (2:35 – 3:35pm, on Teams). The remaining sessions will be held in-person.
Readings/resources – Where are you learning about AI February 27 and March 3
Sandbox – Prompting Techniques March 13 and March 17
Actions to try in class and/or your teaching March 20 and March 31
Actions to try for your self April 7 and April 10
Sandbox – technical and domain knowledge techniques April 24 and April 28
Community Learning through PED Talks - Coffee conversations and/or PED Talks are designed for idea exchanges about assignments and class activities that promote deep student learning, academic integrity, and an authentic learning experience. These dates and topics are just a preliminary list, please contact me if you have a topic you want to learn more about and/or lead. These sessions will be held in the CTL.
Dates Topics
March 18, 11:30 - 12:30 pm Process Oriented Tasks
April 1, 3 – 4 pm Inquiry Based Assignments
April 6, 11:30 - 12:30 pm TBD
April 15, TBD TBD
May 6, TBD TBD
It is up to the instructor to decide whether student use of generative AI is appropriate for their courses and to what extent. When making that decision, instructors should take into consideration the learning goals of the course, the content, and the extent to which that course can contribute to students' general experience and understanding of AI. Instructors might also consider an assignment-by-assignment approach to identifying when generative AI is allowed.
See this link for sample syllabus statements regarding AI Use, including statements from Centre faculty.
See this AI Tools and Guidance Moodle Space developed by Academic Affairs to provide XXX where documentation on common AI tools (such as Grammarly, Word's Editor, etc.) and how students can turn these tools off will be stored. You may access this site through this link, and you can also add the link to your syllabus, Moodle site, etc. as a means of sharing it with students. Please note that you will be prompted to self-enroll in the course when you initially click on the link. Anyone with Centre credentials (faculty, students, staff) will be allowed to self-enroll.
Safe Use
Under guidance from ITS, these links about Microsoft safeguards with Copilot are what our campus is using as our guidance.
Data, Privacy, and Security for Microsoft 365 Copilot
Data, privacy, and security for web search in Microsoft 365 Copilot and Microsoft 365 Copilot Chat
Microsoft 365 Copilot file suggestions
Prohibited Use
Instructors may decide that student use of Generative AI is detrimental to their ability to meet course learning objectives and, thus, opt for a “no AI use” policy. In such cases, the syllabus AI policy statement should include a rationale for that choice to encourage student compliance. It should also include a clear indication of what constitutes misuse and what steps will be taken if misuse occurs.
Simple Rationale: Idea generation, analytical thinking, and critical analysis are key outcomes in this course. As a result, all assignments submitted by the student must be 100% their original work. Generative AI tools should not be used for any stage of any assignment or activity - this includes brainstorming, fact checking, or grammar correction. Any submission of AI-generated content will be considered misuse in the context of this course.
Discipline-specific Rationale: Generative AI is a powerful tool that has its uses in certain contexts, but it is not appropriate for the learning goals in this course. In [insert discipline/profession], we rely on skills such as [list salient skills or competencies] that are developed through practice and improvement. As a result, you will be given opportunities to practice and grow without the use of AI. For example, [list examples of these opportunities if appropriate]. Use of Generative AI for the completion of assignments or activities will be considered academic dishonesty in the context of this course.
Learning Objective-Specific Rationale: Generative AI cannot be used for assignments in this class as it will be a barrier to successfully meeting some of the key learning objectives. This is a [level of course] [insert discipline] course in which students engage with [major content/ideas/skills]. It is important that students spend time reading, writing, and thinking through the information to develop critical skills. [Insert a specific example if relevant. For instance: One of the learning objectives of this course is for students to be able to identify and analyze arguments within a text. Close reading of a full text is a key step in developing that ability. Use this class and the assigned texts as an opportunity to practice this skill.]
Any use of generative AI for any assignment or activity is considered misuse in this class. That includes presenting any GenAI output as your own work, using AI to brainstorm, or rewriting generated outputs completely in your own words. That type of misuse may be considered academic misconduct and consequences will follow University policies.
Conditional Use
In some cases, instructors might want to help students explore GenAI in the context of their course and are, therefore, open to student use of AI in specified instances. The exact policies outlining conditional use of AI vary widely based on learning goals and uses. For instance, instructors may choose to allow student use of AI:
for specified assignments only;
for specific stages or tasks in preparation for all assignments (i.e. brainstorming, proofreading, etc. but not drafting); or
for in-class activities only (not for completing individual or group assignments).
Instructors may also specify which GenAI tools students may or may not use. In most cases for assignment use, instructors should provide students with guidance about how to cite and acknowledge their use of AI.
Other notes/options
There are at least 4 ways instructors may imagine these tools for student use. Here's some sample language that might help you determine the next course of action.
Use prohibited
Students are not allowed to use advanced automated tools (artificial intelligence or machine learning tools such as ChatGPT or Dall-E 2) on assignments in this course. Each student is expected to complete each assignment without substantive assistance from others, including automated tools.
Use only with prior permission.
Students are allowed to use advanced automated tools (artificial intelligence or machine learning tools such as ChatGPT or Dall-E 2) on assignments in this course if instructor permission is obtained in advance. Unless given permission to use those tools, each student is expected to complete each assignment without substantive assistance from others, including automated tools.
Use only with acknowledgement
Students are allowed to use advanced automated tools (artificial intelligence or machine learning tools such as ChatGPT or Dall-E 2) on assignments in this course if that use is properly documented and credited. For example, text generated using ChatGPT-3 should include a citation such as: “Chat-GPT-3. (YYYY, Month DD of query). “Text of your query.” Generated using OpenAI. https://chat.openai.com/” Material generated using other tools should follow a similar citation convention.
Use is freely permitted with no acknowledgement
Students are allowed to use advanced automated tools (artificial intelligence or machine learning tools such as ChatGPT or Dall-E 2) on assignments in this course; no special documentation or citation is required.