Evolve AI Institute

Exit Ticket Templates and Reflection Prompts

Lesson 7: How AI Sees Images

Lesson 7: How AI Sees Images

OVERVIEW FOR TEACHERS

Exit tickets are quick formative assessments completed at the end of class to check student understanding. These templates provide multiple options depending on your needs, time available, and assessment goals.

Time Required: 3-5 minutes

Purpose:

Usage Tips:

EXIT TICKET FORMAT 1: The 3-2-1 Reflection

Print these on quarter-sheet paper (4 per page)

Exit Ticket - 3-2-1 Reflection

Name:   Date:  

Lesson 7: How AI Sees Images

3 Things I Learned Today:

  1.  
  1.  
  1.  

2 Questions I Still Have:

  1.  
  1.  

1 Way I'll Use This Knowledge:

Teacher Notes for 3-2-1 Format:

EXIT TICKET FORMAT 2: Core Concepts Check

Print these on quarter-sheet paper (4 per page)

Exit Ticket - Core Concepts

Name:   Date:  

Lesson 7: How AI Sees Images

1. How does AI "see" images differently than humans?

2. What is a pixel?

3. Why does training data matter?

4. Circle one: I could explain computer vision to a friend

Not yet | Maybe | Probably | Definitely

Teacher Notes for Core Concepts Format:

EXIT TICKET FORMAT 3: Scale and Explain

Print these on quarter-sheet paper (4 per page)

Exit Ticket - Understanding Scale

Name:   Date:  

Lesson 7: How AI Sees Images

Rate your understanding:

Before today's lesson: 1 2 3 4 5 6 7 8 9 10

After today's lesson: 1 2 3 4 5 6 7 8 9 10

The most important thing I learned:

One question I still have:

This lesson was: (circle one)

Too easy | Just right | Too hard | Confusing | Really interesting

Teacher Notes for Scale Format:

EXIT TICKET FORMAT 4: Quick Quiz

Print these on quarter-sheet paper (4 per page)

Exit Ticket - Quick Check

Name:   Date:  

Lesson 7: How AI Sees Images

Circle the BEST answer:

1. AI processes images as:

a) Visual scenes like humans

b) Pixel data with RGB values

c) Drawings

d) Magic

2. Training data is:

a) One example image

b) The AI's memory

c) Many labeled example images

d) Random pictures

3. AI can make mistakes because:

a) It's not as smart as humans

b) It only finds patterns in training data

c) Someone programmed it wrong

d) Images are too complicated

Explain one real-world use of image recognition:

Teacher Notes for Quick Quiz Format:

EXIT TICKET FORMAT 5: Real-World Connection

Print these on quarter-sheet paper (4 per page)

Exit Ticket - Real-World Thinking

Name:   Date:  

Lesson 7: How AI Sees Images

Describe ONE way image recognition affects YOUR daily life:

Is this a benefit or a concern to you? Why?

What's one ethical question about facial recognition that matters to you?

Teacher Notes for Real-World Format:

EXIT TICKET FORMAT 6: Drawing/Visual

Print these on half-sheet paper (2 per page)โ€”needs more space

Exit Ticket - Visual Learning

Name:   Date:  

Lesson 7: How AI Sees Images

Draw and label a simple diagram showing how AI processes an image:

[Large blank space for drawing - approximately 4" ร— 5"]

In one sentence, explain your diagram:

Teacher Notes for Visual Format:

EXIT TICKET FORMAT 7: Today's AHA Moment

Print these on quarter-sheet paper (4 per page)

Exit Ticket - AHA Moment

Name:   Date:  

Lesson 7: How AI Sees Images

My "Aha!" moment today was when I realized:

This surprised me because:

One thing I want to learn more about:

Teacher Notes for AHA Format:

EXIT TICKET FORMAT 8: Emoji & Explain

Print these on quarter-sheet paper (4 per page)

Exit Ticket - How I Feel About Learning

Name:   Date:  

Lesson 7: How AI Sees Images

Draw or circle how you feel about today's lesson:

๐Ÿ˜€ Loved it! | ๐Ÿ™‚ Pretty good | ๐Ÿ˜ It was okay | ๐Ÿ˜• Confused | ๐Ÿ˜Ÿ Struggled

Explain your choice:

The best part of today's lesson:

The hardest part:

Teacher Notes for Emoji Format:

EXIT TICKET FORMAT 9: Teach Someone Else

Print these on quarter-sheet paper (4 per page)

Exit Ticket - Teach It!

Name:   Date:  

Lesson 7: How AI Sees Images

You need to explain computer vision to someone who missed class today. What would you tell them?

What's the MOST important thing they should understand?

Teacher Notes for Teach Format:

EXIT TICKET FORMAT 10: Error Analysis

Print these on quarter-sheet paper (4 per page)

Exit Ticket - Analyzing Mistakes

Name:   Date:  

Lesson 7: How AI Sees Images

We saw AI make several mistakes today. Choose one AI error and explain:

Which mistake:  

Why it happened:

How it could be prevented:

Teacher Notes for Error Analysis Format:

DIGITAL EXIT TICKET OPTIONS

For classrooms with 1:1 devices or BYOD:

Google Forms Exit Ticket

Advantages: Automatic collection, easy data analysis, can include branching logic

Setup: Create form with questions from any format above

Link: Share via QR code or short link

Review: Responses appear in real-time in spreadsheet

Padlet Wall Exit Ticket

Advantages: Visual, collaborative, students see peer responses

Setup: Create prompt on Padlet board

Link: Students post responses via link or QR code

Review: All responses visible on single screen

Poll Everywhere or Mentimeter

Advantages: Live results, engaging, works on any device

Setup: Create poll with key questions

Link: Students respond via code or link

Review: Results display immediately with graphs

Learning Management System (Canvas, Schoology, Google Classroom)

Advantages: Integrated with gradebook, familiar to students

Setup: Create assignment with exit questions

Link: Students submit through LMS

Review: Responses in gradebook with student names

REFLECTION PROMPT EXTENSIONS

For classes with extra time or as homework, use these deeper reflection prompts:

Reflection Prompt Set 1: Personal Growth

Before Today:

What did you think about how AI processes images before this lesson?

After Today:

How has your understanding changed?

Going Forward:

How will you think differently about AI technology now?

Reflection Prompt Set 2: Real-World Impact

Consider:

We learned that AI image recognition is used in medical diagnosis, wildlife conservation, accessibility tools, and security systems.

Reflect:

Which application do you think is most important? Why? What concerns do you have about any of these uses?

Reflection Prompt Set 3: Career Connections

Think About:

People who work with computer vision include: software engineers, data scientists, medical imaging specialists, AI researchers, robotics engineers, and more.

Reflect:

Does learning about computer vision make you interested in any careers? What would you like to learn more about? What skills would you need?

Reflection Prompt Set 4: Ethics Deep Dive

Scenario:

Your school is considering installing facial recognition cameras in all hallways for security and attendance tracking.

Reflect:

What are the benefits? What are the concerns? What questions would you ask before deciding? What rules would you want in place? Would you support or oppose this plan? Why?

Reflection Prompt Set 5: Creative Application

Challenge:

You've learned how AI recognizes patterns in images.

Reflect:

Imagine you could create ANY image recognition system. What would it do? Who would it help? What real-world problem would it solve? What challenges might you face building it?

TEACHER ANALYSIS GUIDE

How to Use Exit Ticket Data

Immediate Actions (review before next class):

  1. Sort tickets into three piles: Solid Understanding / Partial Understanding / Needs Support
  2. Note common misconceptions or confusion points
  3. Identify students who need individual follow-up
  4. Look for patterns in "still have questions" responses

Next Class Adjustments:

  1. Start with brief review of commonly misunderstood concepts
  2. Pair strong students with those who need support
  3. Address frequently asked questions
  4. Celebrate interesting insights students shared

Long-Term Data Use:

  1. Track individual student progress across multiple exit tickets
  2. Identify which lesson activities were most/least effective
  3. Refine lesson plans based on common confusion points
  4. Document evidence of learning for parent conferences or evaluations

SAMPLE GRADING RUBRICS

Option A: Completion Only (Low Stakes)

Option B: Understanding Scale (Formative)

Option C: No Grade (Pure Formative)

Recommendation: Use completion-only or no-grade approaches for exit tickets. These are learning tools, not evaluation instruments.

DIFFERENTIATION STRATEGIES

For Struggling Writers:

For ELL Students:

For Advanced Students:

For Students with IEPs:

PRINTING AND ORGANIZATION TIPS

Efficient Printing:

Distribution:

Collection:

Storage:

Evolve AI Institute โ€ข Lesson 7: How AI Sees Images

Exit Tickets and Reflection Prompts

Remember: Exit tickets are tools for learning, not evaluation. Create a safe environment where students can honestly share confusion, ask questions, and reflect on their growth!