[School Letterhead or Logo]
Date:
Dear Families,
Re: Upcoming AI Education Lesson - Computer Vision and Image Recognition
I'm excited to share that our class will soon be exploring an engaging lesson about How AI Sees Images as part of our ongoing AI education curriculum. This hands-on lesson will help students understand the technology behind facial recognition, photo organization apps, and many other tools they encounter daily.
In this lesson, students will discover:
Core Concepts:
Hands-On Activities:
Your student will get to train their own AI model using Google Teachable Machine (teachablemachine.withgoogle.com), teaching it to recognize classroom objects through their webcam. They'll also participate in an unplugged card-sorting activity that helps them understand how AI classifies images.
Important Ethical Discussions:
We'll address critical questions about facial recognition technology, including privacy concerns, potential bias in AI systems, and responsible use of this powerful technology. These conversations help students become thoughtful, informed citizens in our increasingly AI-driven world.
Webcam Use:
Students will use device webcams to take training photos of classroom objects (books, pencils, water bottles, etc.). No photos of people will be required, though students may choose to include their hands in photos. All images are processed locally in the browser and are not uploaded to any server—this is a privacy-friendly educational tool.
Websites We'll Use:
Internet Safety:
All activities use reputable, education-focused websites. Students will be supervised throughout technology use and will follow our classroom technology expectations.
Discuss These Questions:
Look for AI Together:
Challenge your student to find five examples of image recognition technology in your daily life over the next week. This might include:
Extension Activities (Optional):
If your student shows interest, they can:
Academic Skills:
21st Century Skills:
Career Connections:
Computer vision skills are valuable in growing fields including: software engineering, data science, robotics, medical imaging, autonomous vehicles, security systems, and many more. This lesson plants seeds for potential future career interests!
If you have any questions about this lesson, the technology we'll use, or the concepts we're teaching, please don't hesitate to reach out. You can contact me:
Email: [teacher email]
Phone: [teacher phone]
Class Website: [website if applicable]
I'm also happy to schedule a brief call or meeting to discuss the curriculum in more detail.
If you'd like to learn more about AI education:
Thank you for supporting your student's learning journey into artificial intelligence! This knowledge will serve them well as AI technology continues to shape our world.
Warm regards,
[Teacher Name]
[Grade/Subject]
[School Name]
P.S. Ask your student to teach you what they learned! Explaining concepts to someone else is one of the best ways to solidify understanding.
Subject: This Week in [Class Name]: Learning How AI "Sees" Images
Dear Families,
This week we're diving into an exciting AI lesson about computer vision! Your student will learn how computers process images, train their own AI model using Google Teachable Machine, and discuss important ethical questions about facial recognition technology.
Key Concepts: Pixels, training data, pattern recognition, classification
Technology: Students will use webcams to take photos of classroom objects (no personal photos required). All images process locally—nothing is uploaded to servers.
At Home: Ask your student: "How does AI see images differently than humans?" and "What's one concern you have about facial recognition?"
Fun Extension: Go on an AI scavenger hunt together—how many examples of image recognition technology can you find in your daily life?
Questions? Email me at [email address].
Best,
[Teacher Name]
[Encabezado o logotipo de la escuela]
Fecha:
Estimadas Familias,
Re: Próxima Lección de Educación en IA - Visión por Computadora y Reconocimiento de Imágenes
Me complace compartir que nuestra clase pronto explorará una lección atractiva sobre Cómo la IA Ve Imágenes como parte de nuestro currículo continuo de educación en inteligencia artificial. Esta lección práctica ayudará a los estudiantes a comprender la tecnología detrás del reconocimiento facial, las aplicaciones de organización de fotos y muchas otras herramientas que encuentran diariamente.
En esta lección, los estudiantes descubrirán:
Conceptos Fundamentales:
Actividades Prácticas:
Su estudiante podrá entrenar su propio modelo de IA usando Google Teachable Machine (teachablemachine.withgoogle.com), enseñándole a reconocer objetos del salón de clases a través de su cámara web. También participarán en una actividad de clasificación de tarjetas que les ayuda a entender cómo la IA clasifica imágenes.
Discusiones Éticas Importantes:
Abordaremos preguntas críticas sobre la tecnología de reconocimiento facial, incluyendo preocupaciones de privacidad, posible sesgo en los sistemas de IA, y uso responsable de esta poderosa tecnología. Estas conversaciones ayudan a los estudiantes a convertirse en ciudadanos reflexivos e informados en nuestro mundo cada vez más impulsado por la IA.
Uso de Cámara Web:
Los estudiantes usarán cámaras web de dispositivos para tomar fotos de entrenamiento de objetos del salón (libros, lápices, botellas de agua, etc.). No se requerirán fotos de personas, aunque los estudiantes pueden elegir incluir sus manos en las fotos. Todas las imágenes se procesan localmente en el navegador y no se suben a ningún servidor—esta es una herramienta educativa que respeta la privacidad.
Sitios Web que Usaremos:
Discuta Estas Preguntas:
Busque IA Juntos:
Desafíe a su estudiante a encontrar cinco ejemplos de tecnología de reconocimiento de imágenes en su vida diaria durante la próxima semana. Esto podría incluir:
Preguntas o Inquietudes?
Si tiene alguna pregunta sobre esta lección, la tecnología que usaremos, o los conceptos que estamos enseñando, por favor no dude en comunicarse.
Correo Electrónico: [correo del maestro]
Teléfono: [teléfono del maestro]
Gracias por apoyar el viaje de aprendizaje de su estudiante en inteligencia artificial!
Cordialmente,
[Nombre del Maestro]
[Grado/Materia]
[Nombre de la Escuela]
Q: What exactly will my child be doing in this lesson?
A: Students will learn how computers process images, participate in hands-on activities where they train an AI model to recognize objects, play an unplugged card-sorting game, and discuss real-world applications and ethical considerations of image recognition technology.
Q: Will my child's photo be taken or used?
A: No student photos are required for this lesson. Students will photograph classroom objects (books, pencils, etc.) using webcams. If students choose to include their hands in photos for the activity, those images are processed locally in the browser and not stored or uploaded anywhere. We follow strict privacy protocols.
Q: Is the technology safe and age-appropriate?
A: Yes! We use Google Teachable Machine, which is specifically designed for educational use, requires no login, processes everything locally (nothing uploads to servers), and is recommended for K-12 education. Students are supervised throughout all technology use.
Q: What if my child doesn't have technology experience?
A: No prior experience needed! The lesson includes step-by-step guidance, and students work in pairs or small groups with teacher support. The technology is designed to be intuitive and user-friendly.
Q: Why are you teaching about facial recognition to young students?
A: We believe it's important for students to understand technologies they encounter in daily life (phone face unlock, photo apps, etc.). We focus on how the technology works and include age-appropriate discussions about privacy, ethics, and responsible use. Our goal is to create informed, thoughtful users and future creators of technology.
Q: How does this connect to academic standards?
A: This lesson aligns with Computer Science (CSTA), ISTE technology standards, and NGSS science/engineering standards. It develops critical thinking, data analysis, pattern recognition, and ethical reasoning skills applicable across subjects.
Q: What if my child wants to learn more at home?
A: Wonderful! Students can explore Google Teachable Machine at home (it's free), watch educational AI videos on Khan Academy or Code.org, or research careers in computer vision. We'll provide links to safe, age-appropriate resources.
Q: Can I opt my child out of this lesson?
A: While we hope all students will participate in this enriching lesson, we respect parental choices. Please contact me directly to discuss alternative learning activities if you have concerns.
Q: How can I see what my child is learning?
A: Students will bring home worksheets, vocabulary lists, and possibly screenshots of their AI models. Ask them to explain the concepts! We're also happy to share lesson materials or schedule a brief meeting if you'd like more information.
Q: Does this lesson promote or discourage use of AI?
A: Our goal is education, not advocacy. We present factual information about how image recognition works, discuss both benefits (medical diagnosis, accessibility tools) and concerns (privacy, bias), and encourage students to think critically about technology's role in society.
Q: What careers use these skills?
A: Computer vision skills are used in many growing fields: software engineering, data science, medical imaging, autonomous vehicles, robotics, security systems, game development, digital art, and more. This lesson helps students discover potential interests!
[School Name] - Technology Use Permission Slip
Lesson: How AI Sees Images (Computer Vision)
Date(s):
Teacher:
Technology to be Used:
What Students Will Do:
Students will use webcams to take photos of common classroom objects (books, pencils, water bottles, etc.) to train an AI model. No photos of students are required, though students may choose to include their hands. All processing happens locally in the browser—no images are uploaded or stored on external servers.
Privacy and Safety:
✓ No student photographs required
✓ All images process locally (nothing uploads to internet)
✓ No login or personal information required
✓ Supervised by teacher throughout activity
✓ Follows school technology use policies
Educational Purpose:
Students learn how AI processes images, pattern recognition, training data concepts, and discuss ethical implications of facial recognition technology.
Alternative Activity:
Students who do not have permission to use technology will complete the unplugged card-sorting activity and written assignments demonstrating the same learning objectives.
Permission:
I GIVE PERMISSION for my child to participate in this AI education lesson using the technology described above.
I DO NOT GIVE PERMISSION. Please provide alternative activities for my child.
Student Name: (please print)
Parent/Guardian Name: (please print)
Parent/Guardian Signature:
Date:
Questions or Concerns:
Please return this form by:
Subject: Your Child Learned About Computer Vision This Week!
Dear Families,
This week, your student completed our lesson on How AI Sees Images. They learned fascinating concepts about computer vision and had hands-on experience training AI models!
What They Learned:
✓ How computers process images as pixel data
✓ The image recognition process (Input → Feature Extraction → Pattern Matching → Classification)
✓ Why training data quality matters
✓ Differences between human and computer vision
✓ Real-world applications and ethical concerns
Highlight Moments:
Ask Your Student:
Coming Up Next:
[Preview next lesson in AI curriculum]
Student Work Coming Home:
Your student should bring home a completed worksheet showing their understanding of computer vision concepts. This is a great conversation starter!
Extension Opportunity:
Interested students can explore Google Teachable Machine at home: teachablemachine.withgoogle.com
Thank you for supporting AI education!
[Teacher Name]
Adapt These Letters Based On:
Best Practices:
✓ Send letter 1-2 weeks before lesson
✓ Follow up with post-lesson communication
✓ Be available to answer parent questions
✓ Emphasize both benefits and ethical considerations
✓ Provide resources for extended learning
✓ Use clear, jargon-free language
✓ Include specific examples parents can understand
✓ Respect cultural differences in technology views
Communication Channels:
Evolve AI Institute • Lesson 7: How AI Sees Images
Parent Communication Letter Templates
Choose the template that best fits your school community and communication style. Edit as needed to reflect your teaching approach and school policies!