During the Spring Semester of 2025, we hosted four hands-on workshops centered around the work of José Antonio Bowen and C. Edward Watson's book entitled, Teaching with AI: A Practical Guide to a New Era of Human Learning.
This workshop includes a general introduction into how AI works, what it can do, and some of the ethics, problems and costs. Session Video Recording
AI prompts need to provide more human context and be more literal than the ones we tend to use with a search engine. Prompting is not at all like engineering. In this interactive workshop, you will get to practice lots of techniques on a wide variety of rapidly-evolving AI and API tools. Session Video Recording
If an AI can produce consistent average work, then we need to update our policies around grading: why would an employer hire a “C” student if AI can do that level of work? We will investigate how students are cheating and what detectors do. We will discuss what policies and practices improve motivation and decrease cheating, and why. We will examine new tools that can support both writing and cheating (Grammarly and Lex) and explore new writing post-AI writing assignments. Session Video Recording
All assignments are now AI Assignments. In the same way that the ease of finding information on the internet forced faculty to rethink what homework students did and how we wanted them to do it, we will all need an AI strategy for assignments and assessment. Since most work will soon be AI-assisted work, we can help prepare students for the jobs of the future with assignments that require or suggest that students use AI to assist in completing them. Session Video Recording
All of us need to become AI literate in order to harness the strengths of AI in our work and to guide students in its use.
Thinking about ChatGPT as a pedagogy problem, rather than a plagiarism problem, is a way to approach teaching generatively.
For example, scaffolding mitigates library anxiety, imposter syndrome, and accidental plagiarism. Therefore, rather than assigning a big, summative paper or project at the end of the course, breaking it up into stages with student reflection reinforces original work and a growth mindset that can reduce the perceived need for students using a tool such as ChatGPT.
Use the resources below to get ideas and tips for using AI in your teaching.
Use these documents to guide the language you write into your syllabus:
Many students may be unaware if using Gen AI is allowed or not allowed in a particular course.
Consider, for example:
Attribution: "Syllabus Statements" by Camosun College Library is licensed under CC BY-SA 4.0
Because learning to use AI appropriately and ethically is now part of information literacy, you should talk with students about it and its use often throughout the class. The ASCCC tells us that "For students to be successful and ethical in the use of AI, expectations need to be clear. We must help students understand the appropriate use, limitations, biases, and effective techniques of using AI efficiently" (2).
Will you allow students to use AI to help brainstorm ideas or come up with a topic for an assignment? Will you allow them to use it to summarize or explain complex concepts? Will you allow them to use it for writing and editing? Will you allow them to use AI at all? If you do not allow the use of AI, know that your students will probably use it anyway without the benefit of having learned how to use it effectively and ethically.
APA Style, MLA Style, and Chicago Style all have guidelines for citing generative AI. See Citing Generative AI.
ASCCC Educational Policies Committee. "Academic Integrity Policies in the Age of Artificial Intelligence (AI) Resource Document." Spring 2024.
Academic Senate for California Community Colleges, asccc.org/. Accessed 23 Oct. 2024.
Use these tools below to learn more about issues and ways to incorporate AI in your pedagogy.