Workshop: A Faculty Guide to Prompt Engineering for Student Success
Course Goal: Empowering You to Lead the Conversation
This professional development course reframes our relationship with GenAI from one of opposition to one of strategic partnership. At the core of this effort is the Human-AI Collaboration Paradigm.
This is the central pedagogical strategy that centers–or re-centers–the human in the learning process. GenAI has access to vast amounts of data and can perform complex processing tasks, but it has no wisdom, no life experience, and no ethical compass. The faculty-student team provides the direction and the critical judgment to define the essential outcomes of the learning journey.
The goal of this course is to equip faculty with the confidence, pedagogical strategies, and practical tools to lead the conversation about AI in the classroom. We will move from a reactive stance of policing and prohibition to a proactive one of guiding students toward responsible, ethical, and effective use of these powerful new tools.
This Course as an Equity Initiative
These skills are not merely about technology adoption. This is about promoting educational equity. Research and anecdotal evidence show that GenAI fluency is quickly becoming a new marker of privilege. A significant digital divide exists between students who have been taught how to use these tools effectively and those who have not, a gap often widened by a lack of institutional support and faculty guidance.
When faculty adopt and teach these skills, we are actively working to level the playing field. We ensure that every student, regardless of their background, has access to the tools and literacies they will need to succeed in a world that is being reshaped by this technology. We provide accessible, equitable pathways to opportunity for all.
Section 1: Laying the Foundation
Introduction to AI for Success
Lesson 1: What is AI (and What it Isn't)
Lesson 2: The Power of Partnership
Lesson 3: Creating Great Questions: An Introduction to Prompt Engineering
Understanding Your Superpowers: Core Thinking Skills
Lesson 4: Critical Thinking: Your BS Detector for the Digital Age
Lesson 5: Lateral Thinking: Finding New Roads When You're Stuck
Lesson 6: Problem-Solving as a Journey, Not a Destination
Section 2: The Thinker's Toolkit: Turning Academic Integrity from a Problem into a Pedagogy
Analytical & Evaluative Prompting
Lesson 7: The "Deconstruct and Analyze" Pattern
Lesson 8: The "Devil's Advocate" Pattern
Lesson 9: The "Evidence Check" Pattern
Synthesis & Inference Prompting
Lesson 10: The "Synthesize Perspectives" Pattern
Lesson 11: The "What's Next?" Pattern for Inference
Lesson 12: The "Think Step-by-Step" Pattern (Chain-of-Thought)
Section 3: The Innovator's Edge: Fostering "Un-Googleable" Creativity
Challenging Assumptions & Reframing Problems
Lesson 13: The "Assumption Detector" Pattern
Lesson 14: The "Perspective Shifter" Pattern
Lesson 15: The "Reframe the Problem" Pattern
Idea Generation & Creative Synthesis
Lesson 16: The "Creative Constraint" Pattern (SCAMPER)
Lesson 17: The "Provocation" Pattern
Lesson 18: The "Brainstorming Partner" Pattern
Section 4: The Problem-Solver's Playbook: Scaffolding for Success and Integrity
Problem Definition & Root Cause Analysis
Lesson 19: Defining the Problem with Precision
Lesson 20: Digging for "Why" with GenAI
Solution Generation & Evaluation
Lesson 21: Generating a Universe of Solutions
Lesson 22: Evaluating Options
Lesson 23: The Feedback Loop: Iterating Toward a Better Solution
Section 5: The AI-Ready Educator: Ethics, Policies, and Your Own Workflow
Responsible and Ethical Use
Lesson 24: GenAI's Blind Spots: Bias, Hallucinations, and Limitations
Lesson 25: Your Academic Integrity: Co-Creating AI Policy
The Future of The Augmented Mind
Lesson 26: Building a Syllabus Policy
Lesson 27: GenAI and Faculty Workload
Lesson 28: Creating the GenAI Rubric