Teaching Guides

Teach with Clarity

Evidence-based strategies for teaching prompt engineering to adult learners. Not what to teach—but how to teach it effectively.

Browse Guides Faculty Onboarding
Our Approach

The Bloom Teaching Philosophy

We don't teach tricks—we build understanding. Our students are working professionals who deserve context, not condescension. They bring experience that enriches the learning environment when given space to contribute.

Practice matters more than lecture. AI competence develops through doing, failing, and iterating—not through memorizing frameworks. We create safe environments for productive mistakes.

Build Mental Models

Concepts that transfer across tools and platforms

Respect Adult Learners

Context and rationale, not commands

Embrace Productive Failure

Mistakes are data, not disasters

Cultivated, not commanded.

This phrase captures our entire pedagogical approach. Understanding cannot be installed—it must be grown. Your role as faculty is to create conditions for that growth: the right challenges, timely feedback, and space for reflection.

This applies to your development as a teacher, too. We don't hand you a script and expect compliance. We give you frameworks and trust your judgment.

The Bloom Difference
Traditional
Bloom Approach
Lecture-Heavy

Knowledge transfer through presentation

Right/Wrong Focus

Binary assessment of student work

Fixed Pace

Same timeline for all learners

Script-Driven

Instructor follows rigid curriculum

Practice-Centered

Learning through doing and reflecting

Better/Worse Spectrum

Nuanced feedback on quality and tradeoffs

Adaptive Support

Meet learners where they are

Framework-Guided

Instructor judgment within principles

Essential Guides

Start Here

Four foundational guides every faculty member should read before their first session. These aren't rules—they're accumulated wisdom from faculty who came before you.

Foundation

Adult Learning Principles

Understanding how working professionals learn differently than traditional students.

Topics Covered
Self-directed learning Experience as resource Relevance & application Intrinsic motivation
15 min read
Read Guide
Core

Teaching Prompt Engineering

The unique challenges of teaching a skill that requires both creativity and precision.

Topics Covered
Balancing theory & practice Demonstrating without prescribing Handling varied AI responses Transferable mental models
20 min read
Read Guide
Essential

Feedback & Assessment

How to give feedback that builds competence without discouraging exploration.

Topics Covered
Formative vs. summative Rubric-based evaluation Constructive criticism Encouraging iteration
15 min read
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Practical

Managing AI Variability

What to do when the same prompt produces different results for different students.

Topics Covered
Why outputs vary Teaching adaptability Process over output Unexpected AI behavior
10 min read
Read Guide
Real Talk

Challenges You'll Face

Teaching prompt engineering isn't easy. Here's what experienced faculty have learned about the obstacles you'll encounter—and how to navigate them.

The Problem Students arrive with unrealistic expectations about what AI can do. They expect perfect outputs on the first try and get frustrated when reality doesn't match the hype.
The Approach Ground them early in how AI actually works. The Start Here orientation exists for this reason. Revisit the prediction vs. understanding distinction regularly.
Key Phrase "AI is prediction, not understanding"
The Problem Some students treat prompt engineering like memorization—collecting "templates" rather than developing judgment. They can copy but can't adapt.
The Approach Vary contexts constantly. Ask students to explain their choices. Require adaptation of examples rather than replication. Focus assessments on novel situations.
Key Phrase "Why did you choose this approach?"
The Problem AI capabilities evolve rapidly. What worked last month might work differently now. Faculty feel pressure to stay current with every new feature.
The Approach Teach principles over platform-specific tricks. When specific tools change, the underlying mental models remain useful. Your job is to build adaptable thinkers, not tool experts.
Key Phrase "Mental models transfer; syntax doesn't"
The Problem Many students—especially high achievers—are uncomfortable with ambiguity. They want a formula that guarantees success. Prompt engineering doesn't work that way.
The Approach Reframe the goal from "right" to "effective." Use comparative exercises where students evaluate multiple valid approaches. Celebrate thoughtful judgment, not just outcomes.
Key Phrase "Better or worse, not right or wrong"
The Problem Cohorts include both AI novices and people who've been experimenting for months. The pacing that works for one group bores or loses the other.
The Approach Use peer teaching strategically. Advanced students deepen their understanding by teaching others. Provide extension challenges for fast movers. Focus on depth, not just breadth.
Key Phrase "Advanced students teach; everyone learns"
Practical Tools

Lesson Planning Resources

Every Bloom session follows a consistent structure that balances instruction, practice, and reflection. This rhythm helps students know what to expect and helps you manage the energy of a 90-minute learning experience.

You don't have to reinvent the wheel. Use the framework and templates below as starting points, then adapt based on your style and your cohort's needs.

Downloadable Resources
Lesson Plan Template Coming Soon PDF Session Checklist Coming Soon PDF Reflection Prompts Library Coming Soon PDF
The Bloom Session Structure
90 minutes, 5 phases
1
Connect (10 min)

Link to previous learning, preview today's objectives, warm-up activity

2
Concept (20 min)

Introduce new mental model with examples, demonstrate key techniques

3
Practice (40 min)

Guided exercises, individual or group work, hands-on application

4
Reflect (15 min)

Key takeaways, address confusion, share discoveries and challenges

5
Bridge (5 min)

Preview next session, assign preparation, close with encouragement

For Every Learner

Inclusive Teaching Practices

Our students come from diverse backgrounds—different industries, educational paths, and life experiences. Inclusive teaching isn't about lowering standards; it's about creating multiple paths to meet high standards.

Do This
Avoid This
Offer Multiple Demonstration Paths

Let students show understanding through written, verbal, or practical means based on their strengths.

Use Varied Industry Examples

Draw from healthcare, finance, education, marketing—validate diverse professional contexts.

Prioritize Clarity Over Speed

Speak clearly, pause often, check understanding—especially with non-native speakers.

Offer Flexible Deadlines

When life circumstances warrant, communicate clearly and adjust—adults have complex lives.

Create Space for Quiet Voices

Use breakout rooms, written responses, and direct invitations to include introverts.

One-Size-Fits-All Assessment

Forcing everyone through identical formats misses valid competence demonstrated differently.

Tech Industry Tunnel Vision

Using only software examples alienates students from healthcare, legal, education sectors.

Rushing Through Material

Racing creates anxiety and leaves non-native speakers behind—coverage isn't learning.

Rigid Deadline Enforcement

Punishing working professionals for real-life conflicts damages trust and motivation.

Letting Loudest Voices Dominate

Confident speakers monopolizing discussion silences equally valuable perspectives.

Going Deeper

Advanced Teaching Topics

Once you're comfortable with the fundamentals, these guides explore specialized challenges you'll encounter as you grow as a faculty member.

Teaching Ethics & Judgment

When to use AI, when not to. Helping students develop responsibility alongside capability.

Facilitating Peer Review

Structured protocols for students learning from each other through meaningful feedback.

Capstone Project Mentoring

Guiding independent projects while balancing support and student autonomy.

Handling Difficult Conversations

Frustrated students, grade disputes, and academic integrity concerns with professionalism.

Continuous Improvement

Collecting feedback on your teaching and iterating based on cohort experience.

Building Learning Community

Cohort bonding, peer support networks, and creating lasting professional connections.

Questions? We're Here.

Teaching is learning. If you need support, guidance, or just want to talk through an approach, reach out. That's what we're here for.

Contact Academic Director Faculty Community