Integrating AI into the Classroom

Faculty Workshop: Integrating AI into the Classroom – April 23, ATAS 144 2pm - 4pm

INTEGRATING AI INTO THE CLASSROOM
Presented by Dr. Jeffrey Barnett, CS Department Chair/CIMS Professor

Over the past four semesters (Spring 2025 through Spring 2026), Dr. Barnett has been running a live experiment integrating AI tools directly into his CS and CIM courses. This workshop is the full debrief — what worked, what failed, and what was built along the way.

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AGENDA
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2:00 PM — Opening & Context Setting (10 min)
An honest framing of four semesters of AI experimentation across CS 1A-1C Introduction to Programming series, CS 1D Data Structures, CIMN 130 Linux/Unix, CIMS 140 Digital Forensics, and CIMS 150 Ethical Hacking

2:10 PM — Four Semesters of Classroom AI (15 min)
How assignments, labs, and grading policies evolved in response to real student behavior. What the data actually showed.

2:25 PM — The Four Tools: Honest Assessments (20 min)
A side-by-side look at ChatGPT, Claude AI, Claude Code, and NotebookLM — where each one genuinely helped students and where each one quietly failed them. Includes a live demo.

2:45 PM — FEATURED CASE STUDY: The Gryffindor Server (20 min)
The department's most ambitious experiment. Federal Work Study students were trained on Claude Code and tasked with building a custom academic integrity policy into the Claude environment running on the department's Gryffindor server. The result: a guard railed AI tutor available to all CS 1A, 1B, 1C, and 1D students — one that guides and explains without completing assignments for them. Dr. Barnett will walk through how it was built, how students tried to work around it, and what comes next.

3:05 PM — Break (5 min)

3:10 PM — Student Panel: The Real Story (25 min)
A live panel featuring students from CS 1A–1D and the Federal Work Study students who built the Gryffindor system. Unfiltered experiences — positive and negative — and open Q&A with the audience.

3:35 PM — Faculty Discussion: Policy, Ethics & What You Can Actually Do (15 min)
From banning AI to building around it — how syllabus language evolved, how to design assessments that still mean something, and whether a Gryffindor-style deployment could work in your discipline.

3:50 PM — Takeaways, Resources & Next Steps (10 min)
Syllabus language templates, prompt libraries, AI policy frameworks, and an open invitation for follow-up collaboration.

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This session is open to all faculty regardless of discipline. No technical background required.

We hope to see you there.