AI Professional Learning
Practical learning for people navigating fast-moving technology.
I design and facilitate workshops, demonstrations, discussions, and applied learning experiences that help educators and professionals use AI thoughtfully—without losing human judgment, accessibility, or the goals that matter.
My work has evolved alongside the technology: from early prompting and use cases, to ethics and policy, to human–AI workflows, accessibility, and sustained design practice.
EXPLORE
Build confidence by making the technology visible.
Early sessions focused on practical use cases, live demonstrations, prompting, scripting, and helping participants understand what generative AI could actually do.
Representative topics:
Generative AI use cases for teaching and learning
Prompting and iterative prompt design
Live AI demonstrations
Reducing repetitive instructional workload
Student and faculty perspectives on AI
QUESTION
Move from capability to judgment.
As adoption accelerated, the questions became less about “Can AI do this?” and more about when, why, and whether it should.
Representative topics:
Ethics and limitations of generative AI
Bias, privacy, transparency, and accountability
AI literacy and responsible use
Academic integrity and assessment design
Human judgment in AI-assisted work
GUIDE
Turn uncertainty into usable practice.
I have helped translate institutional expectations and rapidly changing technology into flexible guidance educators can actually use.
Representative topics:
AI syllabus guidance
Creating flexible course policies
Designing guardrails rather than blanket rules
Connecting AI use to course goals and disciplinary expectations
Faculty conversations about appropriate and inappropriate use
INTEGRATE
Build AI into workflows without removing the human.
More recent work focuses on repeatable systems: accessibility, design continuity, verification, and human–AI collaboration over time.
Representative topics:
AI-assisted accessibility workflows
Human verification and quality assurance
Designing repeatable AI workflows
Design memory and continuity
Expand → Preserve → Evolve
Sustained human–AI design
What a Session Might Look Like
My sessions are typically active rather than lecture-heavy. Depending on the audience and goal, they may include:
live demonstrations
guided prompt practice
real-world examples
collaborative discussion
scenario analysis
reusable prompt patterns
checklists and workflow tools
participant questions and experimentation
RECENT AND REPRESENTATIVE TOPICS
AI for Accessibility
Using AI to accelerate remediation while preserving human review and learner experience.
Human–AI Design Workflows
Using AI to expand possibilities, preserve design reasoning, and evolve complex work deliberately.
Prompting Beyond the First Draft
Moving from one-shot prompts toward iterative critique, comparison, and design thinking.
Ethics, Guardrails & Judgment
Helping educators make practical decisions around transparency, privacy, bias, and responsible use.
AI Policy for Teaching
Designing flexible syllabus guidance grounded in course goals, disciplinary values, and student learning.
AI in Instructional Design
Using AI across ideation, alignment, assessment, QA, accessibility, and production.
BRING THIS WORK TO YOUR ORGANIZATION
Whether you need a practical introduction, a focused workshop, a faculty-development session, or a deeper conversation about human–AI design, I’m happy to build around the needs of your audience.
RELATED WORK
Humans Still Teach
A practitioner framework for sustained human–AI design.
The AI Field Guide for Learning Designers
A practical guide to using AI across education, training, and instructional design.