Artificial Intelligence: ChatGPT and Beyond: Info for HC Faculty & Adjuncts

Marcin, Tim. AI-generated animals in fake surveillance videos are fooling the internet Fake bunnies? Is nothing sacred? Mashable July 31, 2025

From CITT - November 5 2025  (Keep scrolling down for earlier announcements)

Teaching Tips: Incorporating AI Literacy into Your Courses

 As you have no doubt seen, AI is becoming ubiquitous in our lives and in the technologies we use every day. Generative AI is no longer an experimental tool, but a deployed technology in many of the exact fields our students are training to enter. AI Literacy has become a universal competency required for students (see UNESCO’s AI competency framework for students).

AI is advancing more rapidly than we can adapt, however. Just in the past few months, AI browser agents are emerging that can complete student’s or instructor’s work in Canvas. Used improperly, AI can result in cognitive offloading that leads to overconfidence and reduced performance.

So while there is a critical need to prepare students for an AI-driven workforce, we also need to mitigate academic integrity and career development risks from student misuse of AI. Instead of a simple, punitive "don't cheat" message, which research consistently shows is ineffective for changing student behavior, we can help students understand why over-reliance on AI harms their own learning and skill development in the long term, as well as how to ethically and productively use AI.

Mastering AI Literacy or indeed any literacy is also not something that can be done in a single lesson or even a single course but is instead better distributed throughout students’ education (see for example Writing Across the Curriculum). Hence you may find it helpful to incorporate contextualized AI literacy activities or information in your own courses. Below are some examples, if any look useful to you.

AI Literacy Modules and Activities

There are several example AI literacy resources out there. You might search Google or Google Scholar for “AI Literacy” plus the name of your discipline, but below are some general and discipline-specific examples:

General AI Literacy Modules

• AI in Education is a Canvas course created by and for students.

• For my SLS course, I created an initial version of an AI Literacy module on Ethically Using AI for College and Career Success, which includes scenarios to help students understand ethical uses of AI but also how improperly using AI as a shortcut for their own thinking hurts their grades and performance in the long term. Students will also be trying out Google’s Career Dreamer AI tool to explore their career interests.  

• Montgomery College has also shared a free short ebook on AI Literacy for Career & College Success, inspired by Elon University’s 2025 Student Guide to Artificial Intelligence.

• There are a few other AI Literacy modules in Canvas Commons, too, such as this AI Literacy module from Cabrillo College.

• Promoting Critical AI Literacy through Online Video-based Discussion - Video discussion boards can be done with Canvas Studio: see How do I embed Canvas Studio media in a discussion reply in Canvas as a student?

Discipline-specific AI Literacy Resources

• Humanities

  • Building a Culture for Generative AI Literacy in College Language, Literature, and Writing

  • AI in College Writing: A Guide for Students - video playlist

  • Guiding Principles for Artificial Intelligence in History Education

  • News Literacy Project: Teaching About AI

  • AI Literacy: A Necessity in Modern Language Education

  • AI Tools for Spanish Teachers

• STEM

  • Educational Technology & AI Guidance for Math Leaders

  • A student guide to using AI to enhance algebraic understanding

  • Artificial intelligence in STEM education

  • A Case Study of Integrating AI Literacy Education in a Biology Class

  • Leveraging AI for Rapid Generation of Physics Simulations in Education

• Social Sciences

  • Fearing the Future: Reconsidering the Role of AI (Sociology)

  • Departmental discussion on AI (Sociology but applies to any dept)

  • Fostering Generative AI Literacy in Economics

  • Using Generative AI to Promote Psychological, Feedback, and Artificial Intelligence Literacies in Undergraduate Psychology

• Professions

  • Artificial Intelligence in Nursing Education - see also 1, 2, 3, 4

  • AI’s Role in Business Education

  • Empowering preservice teachers’ AI literacy

  • Pilot Generative AI Intervention to Enhance Pre-service Teachers' Self-efficacy and AI Literacy

• Building AI Literacy Through Disciplinary Practice: The DSAIL Framework - inspired by Writing Across the Curriculum and “built on a single repeatable move that works across all disciplines and levels: students encounter AI-generated content, then interrogate it through comparison with evidence.”

More Resources on AI Literacy

• List of AI Literacy Frameworks - including Dimensions of AI Literacies

• A Guide to AI Ethics Literacy has several case studies and examples

• Educators’ guide to multimodal learning and Generative AI includes a section on AI literacy

FROM CITT - AUGUST 17 2025

We continue to update and refine our AI Faculty Resources page, as well as this handout on adapting your teaching to generative AI. Keep an eye out for future AI training announcements. Here are some new tools and resources, if any are of interest:

• University students feel ‘anxious, confused and distrustful’ about AI in the classroom and among their peers
• Peer & AI Review + Reflection (PAIRR) - activity framework for writing
• Free Professors at Play AI Playbook - plus 2 other free ebooks on incorporating games in your face-to-face and online courses
• Strategies to counteract AI cheating
• Course AI Resilience Tracker (CART) Tool
• You or your students can quickly create and share custom apps with free and open source “vibe coding” tools such as Vibes DIY (example pomodoro timer app) and OnMicro AI. Google also just released a free tool called Opal.
• What 18 Recent Research Papers Say about How to Use AI in Instructional Design
• Meet OLC’s Course Review Assistant GPT (GPT, Guide)
• Leveraging GenAI to Transform a Traditional Instructional Video into Engaging Short Video Lectures

AI-related announcements - Rich Senker, email, August 6 2025

Turnitin and AI

There have been a lot of questions recently about how Turnitin checks for AI in submitted student work. We have compiled a new resource page to help you understand how all that fits together. This resource is part of our ITS SharePoint site, specifically at https://hccfl.sharepoint.com/sites/instructional-technology/SitePages/UIsing-Turnitin-for-AI-Detection.aspx

Should you have questions, please contact Mark Lewis at CITT, Instructional Technology Services at mlewis73@hccfl.edu. 

Syllabi Tips

Faculty have reached out and asked questions about a few areas regarding information to include in syllabi.

• AI Recommandations

Access sample syllabi statements for Artificial Intelligence at AI Syllabi Statement Examples FA-2024.docx

You can use and edit these as you see fit for your courses.

• Academic Accommodations

“Any student whose disability falls within the American Disabilities Act (ADA) and requires accommodations should contact the Office of Services for Students with Disabilities at your campus. You can find information about the campus offices at https://www.hccfl.edu/support-services/services-students-disabilities

Please submit requests for accommodations as soon as possible, preferably within the first two weeks of the course.

Accommodations cannot be applied retroactively. With that in mind, a memo after the fact will not entitle you to redo work or retake exams with accommodations.”

Addressing Suspected AI Use in Student Work

As AI tools become commonplace, it's important that we approach suspected use in student writing with professionalism, clarity, and evidence-based reasoning. Rather than leading with AI detection percentages, we encourage faculty to begin with observations.

🔍 A Constructive Approach

When you notice inconsistencies in a student’s writing, consider the following steps:

Evaluate the work for changes in tone, vocabulary, or structure compared to previous submissions.

• Document specific examples that raise concern.
• Use an AI detection tool to support your observations.
• Initiate a respectful conversation with the student.

🗣️ Suggested Script for Faculty

“I’ve reviewed your recent submission and noticed some differences in writing style compared to your earlier work. For example, [insert specific examples]. Based on my experience teaching and evaluating student writing, these inconsistencies stood out to me. To better understand them, I ran the text through an AI detection tool, which indicated a high likelihood of AI-generated content.

If you would like to discuss these inconsistencies, and your writing process for this assignment please contact me.”

This approach keeps the focus on academic integrity and your role as a mentor and guide, not dependency on AI.

✅ Why This Matters

• Encourages fair and consistent practices
• Builds trust and transparency
• Supports student growth in a changing academic landscape

What information should students include to note  their use of AI?  Or pledge that they haven't used AI?  What use is OK?  What is off-limits?  Now that CoPilot is built-into Microsoft products is using CoPilot OK?  How about predictive text, grammar and spellchecks in Word?  If the answer is "no", what about teaching students to turn off those functions?  What about other fairly standard tools such as Grammarly? 

Citation styles:  

MLA: https://style.mla.org/citing-generative-ai/ 

APA:  https://apastyle.apa.org/blog/how-to-cite-chatgpt

Chicago/Turabian:  https://www.chicagomanualofstyle.org/qanda/data/faq/topics/Documentation/faq0422.html