Byte-Sized Pedagogy

Our students are already using AI, but many of them lack the guidance and skills to use it ethically or effectively for their future careers. This week, we challenge you to lead a small "AI Audit" in your class. Consider introducing a “Let’s see what AI has to say about this...” moment. Students can generate an AI response (text, image or video) on a course topic, then collaboratively critique its accuracy, quality, and bias and evaluate differences based on individual prompts. Brief, low-stakes moments transform AI from a "cheating tool" into a critical literacy lesson that prepares students for the modern workforce. Don't be afraid to fail forward - your guidance is the bridge between a student's misuse of tech and their professional success. Let's experiment together. You can find ideas and share your discoveries through our continuously updated Faculty AI Resource Site.

Empower your students to take charge of their own exam prep by teaching them to transform their lecture notes into personalized practice quizzes. Take a few minutes of class to show students how to paste their notes into an AI tool and ask it to "Generate five challenging multiple-choice questions based on this text." This activity shifts AI from a "shortcut" to a cognitive tool that reinforces active recall and helps students identify their own knowledge gaps before high-stakes assessments. Encourage them to verify every AI-generated answer against their textbook or notes to ensure accuracy and build critical oversight skills. For a copy-pasteable "Quiz Me" prompt template you can share with your students, visit our Sample Assignments page .

Teach students to thoroughly check AI output for accuracy. AI models are "probability engines," not databases, meaning they prioritize plausible-sounding language over factual accuracy. The AI Truth Test shifts students from passive consumers to active skeptics by treating AI output as a "rough draft" that requires rigorous verification. This activity builds essential information literacy skills, teaching students that their subject-matter expertise is the final authority. By identifying "hallucinations," students learn the boundaries of generative AI and the importance of source documentation. For a "Truth Test" prompt template you can share with your students, visit our Sample Assignments Page.

As AI integrates into the professional world, "acceptable use" is no longer a guess, it is being clearly defined by industry leaders and academic journals. This week, we encourage you to investigate the specific AI guidelines published by your discipline's primary professional organizations or leading research journals. Sharing these "real-world" standards with your students helps demystify what is considered ethical AI use and what is considered professional misconduct in their future careers. Consider aligning your classroom policies with these external benchmarks to provide students with a clear, career-ready framework for when to lean on AI and when to rely solely on their own expertise. You can find a sample in-class "Professional Standards" discussion guide on our Sample Assignments Page. 

Transforming Your Course Materials into Interactive Experiences

Tuesday, March 10th at 2:30pm in Zoom

Unlock the potential of generative AI by transforming your course materials into interactive learning tools in just one hour. Join Mary Engel for a hands-on workshop that will use the powerful duo of NotebookLM and Gemini to create custom learning experiences. Guided by the "Instructors as Innovators" framework, you will leverage your own pedagogical expertise to design sophisticated simulations, tutors, or co-creation tools tailored to your specific course needs. No experience required. By the end of this session, you will have a fully functioning, classroom-ready AI activity specifically grounded in your own assignments and rubrics. 

For more information and the workshop Zoom Link, CLICK HERE

Generative AI isn't an objective truth-teller. It reflects the vast and often biased data it was trained on. You can help students develop critical cultural literacy by asking them to "interrogate the output”. AI often defaults to "safe" or generic tropes, providing a powerful opening for students to discuss whose voices are amplified and whose are silenced in digital spaces. By treating AI as a flawed narrator, students learn that their own diverse perspectives and lived experiences are essential for correcting the "algorithmic average." Visit our Sample Assignments Page for a "Bias Audit" checklist to use in your next class discussion.

Students often think AI "knows" things, but it actually just predicts the most likely next word (token) based on patterns. The Predictive Engine activity has students "manually" predict the next word in a sentence before asking the AI, illustrating why the bot is great at sounding confident but terrible at actual reasoning. This shift in perspective helps students realize that AI is a mimic, not a master, making them less likely to trust its output blindly. By understanding the "math" behind the words, students gain the critical distance needed to audit the bot's logic effectively. Visit our Sample Assignments Page for a "Predictive Engine" classroom game you can run in under ten minutes.

Students have a tendency to treat AI like a vending machine, submitting one simple prompt and accepting whatever "snack" the bot dispenses. Iterative Prompting teaches them to treat AI as a collaborative partner instead, requiring at least three to five rounds of critique and refinement to move from a generic response to a high-quality draft. By coaching students to ask the AI to "narrow the focus," "change the tone," or "incorporate a specific course concept," you are training them in the essential professional skill of digital editing and quality control. This process shifts the student’s role from a passive requester to an active supervisor who is responsible for steering the technology toward a meaningful result. Visit our Sample Assignments Page for an "Iterative Log" template that helps students document their step-by-step refinement process.

When students use AI to solve a problem, the learning shouldn't stop at the "correct" result; the real value lies in their ability to justify the path taken to get there. The "Why" Behind the Answer is a technique where students must annotate an AI-generated solution, explaining the underlying logic or course principles that make the answer valid. By requiring this metacognitive step, you ensure that students aren't just bypassing the work, but are instead using the AI output as a springboard for deeper conceptual mastery. This approach reinforces that the human's role is to provide the "meaning," while the AI merely provides the "calculation." It transforms a potential shortcut into a rigorous exercise in proof and professional accountability. Visit our Sample Assignments Page for a "Logic Mapping" activity you can apply to math, science, or humanities assignments.

Students often struggle to see the "other side" of an argument, leading to weak or one-sided writing. The Counter-Point Partner activity uses AI to play the "Devil's Advocate," generating strong rebuttals to a student's thesis or project plan. By forcing students to respond to these AI-generated critiques, you help them build more robust, nuanced arguments and prepare them for real-world professional scrutiny. This shifts AI from a "writing bot" to a "sparring partner" that sharpens their critical thinking and rhetorical skills. Visit our Sample Assignments Page for a "Debate the Bot" worksheet that can be used for any persuasive assignment.

As we acclimate to a world of higher education increasingly shaped by AI, it is vital to move from "policing" AI to documenting its use. The Transparency Log is a simple data sheet where students declare exactly how AI contributed to their final project (brainstorming, grammar checks, data organization, etc.) This practice mirrors emerging professional standards, where disclosure is a mark of integrity rather than an admission of guilt. By normalizing transparency, we reduce the "fear of getting caught" and replace it with a culture of honest, guided innovation. Visit our Sample Assignments Page for a "Disclosure Checklist" that students can attach to their final submissions.

As the semester winds down, let's celebrate what WE bring to the table! The Human Manifesto is an activity where students show off the skills no AI can touch. This is their opportunity to highlight things like empathy, real-world judgment, and personal experience. Ask your students to write a short "Human Value Add" statement explaining exactly how their unique human perspective made their project better than anything an AI could generate. This confidence booster highlights why your human students will be essential in the modern workforce. Find the "Human Value Add" worksheet on our Sample Assignments Page and make your final weeks a celebration of human agency.