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