What Students Will Learn

• Identify and apply practical AI tools that can be immediately used to support teaching and classroom workflows.

• Integrate AI platforms—including ChatGPT—into daily instructional activities, planning, differentiation, and feedback.

• Design and customize AI-assisted workflows that align with grade level, subject area, and diverse student needs.

• Evaluate and measure how AI tools influence learning outcomes, engagement, and instructional efficiency.

• Use AI safely and responsibly by upholding strong privacy practices, digital citizenship standards, and appropriate human oversight.

Requirements

• Computer or mobile device with internet access

• Basic computer operation skills (typing, browsing, file use)

Course Description

Artificial Intelligence is rapidly reshaping education, offering new ways for teachers to save time, personalize instruction, and enhance student engagement. This course equips educators with practical skills to integrate AI tools into everyday teaching tasks—without requiring technical expertise. Whether you are new to AI or already experimenting with modern tools, you will learn how to streamline lesson planning, grading, differentiation, and content creation using platforms such as ChatGPT, Diffit, Brisk, Magic School, SORA, and others.

Through hands-on demonstrations, real classroom examples, and guided workflows, teachers will learn how to design time-saving processes, create personalized learning resources, and apply AI responsibly in both virtual and in-person learning environments.

What You Will Learn

Participants will explore how to:

• Generate instant lesson plans, quizzes, rubrics, and assignments using ChatGPT.

• Use Diffit for differentiated instruction across reading levels and student abilities.

• Automate classroom administrative tasks and progress tracking with Brisk.

• Design personalized learning pathways using Magic School.

• Adapt AI tools to both traditional and digital learning environments.

• Convert text into animated lesson videos using SORA.

• Create music and audio for classroom projects with MakeBestMusic.

• Develop multimedia resources using Fliki.ai.

• Increase teaching efficiency by automating repetitive tasks and focusing more on student engagement and feedback.

OVERALL GOALS

By the end of the course, students should safely understand:

✔ What AI is and isn’t
✔ How AI tools work at a kid-friendly level
✔ How to use AI responsibly and ethically
✔ How to protect their privacy and digital identity
✔ How to evaluate truth vs. misinformation
✔ How to be creators, not just consumers of technology

COURSE FRAMEWORK (10 Modules)

Each module below includes:
Concept → Activities → Safety Notes

Module 1 — What is AI? (Kid Level)

Concept:
How machines make decisions and learn from patterns.

Activities:
◎ “Pattern Game” (students guess patterns and compare with a simple AI demo)
◎ Show real-world examples (translation, voice assistants, search)

Safety Note:
Clear message that AI is not a human and cannot replace judgment.

Module 2 — Data Shapes AI

Concept:
AI needs data; data comes from people and the world.

Activities:
◎ “Teaching the Robot” game with flashcards
◎ Build a mini-dataset (numbers, colors, shapes)

Safety Note:
Teach never share personal data to AI systems.

Module 3 — Internet Safety & AI

Concept:
Privacy, digital footprint, and personal identity protection.

Activities:
◎ Sorting game: “Safe to Share vs. Never Share” (names, addresses, photos)
◎ Scenarios: strangers asking info online

Safety Note:
Reinforces no full names, no faces, no home info when online.

Module 4 — AI and Misinformation

Concept:
AI can generate mistakes (“hallucinations”) or false facts.

Activities:
◎ Compare AI answer vs. trusted book/website
◎ “Truth Detective” game (students check claims)

Safety Note:
Teaches kids to verify, not trust blindly.

Module 5 — Bias and Fairness

Concept:
AI can be unfair if trained on biased data.

Activities:
◎ “Sorting Bias” activity (students see different outcomes)
◎ Discuss cartoon examples of stereotypes

Safety Note:
Explains fairness in non-political, kid-safe language.

Module 6 — Creative AI Tools

Concept:
AI as a tool for art, writing, music, coding, etc.

Activities:
◎ AI-generated comic strip (kid-friendly prompts)
◎ AI story writing with constraints
◎ Simple music remix tool

Safety Note:
Creativity without identity exposure; offline saving instead of sharing online.

Module 7 — Emotional Literacy Around AI

Concept:
AI does not have feelings, cannot love/hate, and cannot be bullied.

Activities:
◎ Role-play: “Human vs. AI” emotions
◎ Journal prompt: “What can a friend do that AI never can?”

Safety Note:
Prevents parasocial or over-attached AI relationships.

Module 8 — AI for Good (Real Applications)

Concept:
How AI helps in medicine, climate, disabilities, etc.

Activities:
◎ Case examples:
— reading assistance
— disaster relief
— medical diagnostics

Safety Note:
Focus on hopeful, not dystopian framing.

Module 9 — Ethical Use & Digital Citizenship

Concept:
Students should use AI responsibly and not for cheating or harm.

Activities:
◎ “Is this OK?” scenario cards
◎ Create a class code of conduct for AI

Safety Note:
Explicit rules for plagiarism, impersonation, and harmful usage.

Module 10 — Final Project

Students make a project showing AI understanding:

Ideas include:
Poster: “How AI Helps the World”
Mini-book: “AI for Kids”
Short video: “Our AI Safety Rules”
Simple app demo (older students)

Showcase event → certificate → celebration

CORE SAFETY PRINCIPLES (Shoily Standard)

The course will enforce:

No sharing of:
– real photos
– full names
– addresses
– school location
– medical or family info

No unsupervised AI use
No emotional bonding incentives (“AI is my best friend”)
No access to unsafe content models
No AI social manipulation games
No biometric data exposure

Teaching mantra:

AI is a tool, not a teacher, parent, or friend.

What Teachers Will Learn

• Identify and apply practical AI tools that can be immediately used to support teaching and classroom workflows.

• Integrate AI platforms—including ChatGPT—into daily instructional activities, planning, differentiation, and feedback.

• Design and customize AI-assisted workflows that align with grade level, subject area, and diverse student needs.

• Evaluate and measure how AI tools influence learning outcomes, engagement, and instructional efficiency.

• Use AI safely and responsibly by upholding strong privacy practices, digital citizenship standards, and appropriate human oversight.

Requirements

• Computer or mobile device with internet access

• Basic computer operation skills (typing, browsing, file use)

Course Description

Artificial Intelligence is rapidly reshaping education, offering new ways for teachers to save time, personalize instruction, and enhance student engagement. This course equips educators with practical skills to integrate AI tools into everyday teaching tasks—without requiring technical expertise. Whether you are new to AI or already experimenting with modern tools, you will learn how to streamline lesson planning, grading, differentiation, and content creation using platforms such as ChatGPT, Diffit, Brisk, Magic School, SORA, and others.

Through hands-on demonstrations, real classroom examples, and guided workflows, teachers will learn how to design time-saving processes, create personalized learning resources, and apply AI responsibly in both virtual and in-person learning environments.

What You Will Learn

Participants will explore how to:

• Generate instant lesson plans, quizzes, rubrics, and assignments using ChatGPT.

• Use Diffit for differentiated instruction across reading levels and student abilities.

• Automate classroom administrative tasks and progress tracking with Brisk.

• Design personalized learning pathways using Magic School.

• Adapt AI tools to both traditional and digital learning environments.

• Convert text into animated lesson videos using SORA.

• Create music and audio for classroom projects with MakeBestMusic.

• Develop multimedia resources using Fliki.ai.

• Increase teaching efficiency by automating repetitive tasks and focusing more on student engagement and feedback.

Who This Course Is For

This course is ideal for:

• K–12 teachers, college instructors, and educators across subject areas

• Teachers seeking to reduce workload in planning, grading, and communication

• Educators interested in modernizing classroom management and instruction

• Teachers looking to engage students using emerging digital tools

• Schools exploring personalized or AI-assisted learning models

Why Enroll

• Practical & Hands-On: Every module includes real examples, demonstrations, and templates.

• Time-Saving Workflows: Learn to automate tasks that normally take hours.

• Supports Personalization: Use AI to tailor learning for diverse students.

• Future-Ready: Build AI fluency essential for tomorrow’s classrooms.

• Community of Practice: Share ideas and strategies with fellow educators.

Course Structure

• 9 structured sections with applied activities, quizzes, and downloadable resources

• Self-paced learning with lifetime access

• No technical background required

• Optional classroom experiments and reflection tasks

Course Outcomes

By the end of this course, educators will:

• Understand the role of AI in modern teaching and learning

• Confidently integrate AI tools into instructional practice

• Reduce time spent on planning, grading, and content creation

• Enhance student engagement using multimedia learning resources

• Apply AI responsibly with attention to privacy, safety, and human oversight.

This technology-focused robotics program introduces students to the world of machines and robotics using LEGO™ bricks and components. The course emphasizes hands-on learning, where students build engaging models and use drag-and-drop programming to bring their creations to life.

Course Description

Through guided exploration, students will understand how common machine components—such as motors, gears, pulleys, and sensors—work together to perform tasks. The learning approach prioritizes familiarization, experimentation, and application rather than memorization. Students collaborate in small teams, solve challenge-based problems, and think creatively while reinforcing concepts through repetition and practice.

The course concludes with a final project, where students design, build, and present a robotic model demonstrating their understanding of machine concepts.

Target Age Group

Suitable for elementary to middle school students (ages can be adjusted based on school requirements).

Learning Objectives

By the end of this course, students will be able to:

• Identify and understand basic machine components
• Build simple mechanical systems using LEGO™ parts
• Use beginner-level visual programming to control motion and sensors
• Observe and explain how machines transfer motion and force
• Work collaboratively to solve engineering challenges
• Design and present a functional robotics project

Key Concepts & Components Covered

Students will gain hands-on experience with:

• Axle
• Belt
• Cam Connector
• Gear Hub
• Motor
• Pulley
• Motion Sensor
• Tilt Sensor
• Worm Gear
• Bevel Gear

Course Structure (Suggested)

Module 1: Introduction to Machines & Robotics

• What is a machine?
• Introduction to LEGO™ robotics kits
• Safety and teamwork
• Simple build activity

Module 2: Motion & Power

• Motors and axles
• Gears and gear ratios (spur, bevel, worm)
• Belt and pulley systems
• Hands-on model builds

Module 3: Sensors & Interaction

• Motion sensor
• Tilt sensor
• How robots sense their environment
• Cause-and-effect activities

Module 4: Basic Programming Concepts

• Drag-and-drop programming interface
• Sequencing and simple logic
• Controlling motors and sensors
• Debugging through trial and error

Module 5: Challenge-Based Learning

• Guided engineering challenges
• Team problem-solving
• Improving and modifying designs

Module 6: Final Project & Presentation

• Design a robotic model using learned components
• Apply programming and mechanical concepts
• Classroom presentation and demonstration

Teaching Methodology

• Hands-on model building
• Visual, block-based programming
• Repetition through varied activities
• Collaborative group work
• Innovation-driven challenges

Assessment & Evaluation

• Participation and teamwork
• Completion of build challenges
• Understanding of machine concepts (observational)
• Final project build and presentation

Outcome for Students

Students will leave the course with a strong foundation in mechanical thinking, basic robotics, and early engineering concepts, while developing creativity, confidence, and problem-solving skills.

Class Experience

Grade 3-5

Beginner Level
What Will Students Learn?
Students will explore electronics, coding, and robotics using Arduino, Micro:bit, and Tinkercad. They’ll design, build, and simulate interactive projects like LED displays, buzzers, motor controls, and simple robots.

Class Structure

Each session follows a structured, hands-on approach:
– Concept introduction (5-10 min)
– Live demonstration & guided building (20-30 min)
– Interactive Q&A, testing & feedback (10 min)

How Do We Teach?
We use live instruction, real-time simulations, and hands-on coding to ensure students grasp concepts while building exciting projects.

Our Teaching Style
– Engaging, practical, and project-driven! We break down complex concepts into fun, interactive lessons that spark creativity and problem-solving.

Student Interaction & Engagement:
– Students participate in live demos, coding challenges, simulations, and discussions. They’ll get direct feedback, troubleshoot projects, and showcase their creations in every session.

Learning Goals:
– Build & Simulate Circuits using Tinkercad, Arduino, and Micro:bit.
– Code & Control Electronics like LEDs, buzzers, sensors, and motors.
– Create Smart Robotics Projects with hands-on simulations and coding.

Syllabus:
10 Lessons
over 5 Weeks

Lesson 1:
Intro to Electronics & Tinkercad
– Basic circuit with LED & battery
– Simple switch-controlled light
– Understanding breadboards
55 mins online live lesson

Lesson 2:
Working with LEDs & Resistors
– LED blinking circuit with Arduino
– Multi-color LED control
– Traffic light simulation
55 mins online live lesson

Lesson 3:
Micro:bit Basics: Coding & Inputs
– Micro:bit LED display messages
– Interactive name badge
– Simple button press counter
55 mins online live lesson

Lesson 4:
Building a Smart Night Light
– Arduino-controlled automatic light
– Light sensor integration
– Adjustable brightness control
55 mins online live lesson

Lesson 5:
Buzzer & Sound Projects
– Arduino doorbell using a buzzer
– Micro:bit music player
– Sound-based reaction game
55 mins online live lesson

Lesson 6:
Traffic Management System
– Traffic light system with Arduino
– Pedestrian crossing button
– Smart intersection control simulation
55 mins online live lesson

Lesson 7:
Micro:bit Robotics: Moving Motors
– Micro:bit-controlled servo motor
– Simple robotic arm concept
– Motorized fan or spinner
55 mins online live lesson

Lesson 8:
Arduino Robotics: Motor Control
– Controlling a motor with Arduino
– Mini fan or motorized car concept
– Understanding PWM speed control
55 mins online live lesson

Lesson 9:
Music Generator with 555 Timer
– Sound wave generation using 555 timer
– Simple musical tone generator
– Frequency control with potentiometer
55 mins online live lesson

Lesson 10:
Line-Following Robot (Simulation)
– Simulated line-following robot with sensors
– Using Arduino for motor control
– Debugging & optimizing movement
55 mins online live lesson

Other Details:

Supply List:
A Laptop with a mouse, pen and paper and basic knowledge of computers.

External Resources:
In addition to the Outschool classroom, this class uses:
Tinkercad

Campers will bring their games to life with custom animations, sound effects, and music, then enhance them using AI-generated images, characters, and voices. As they design challenges, code reactions, and fine-tune gameplay, students will develop logic, creativity, and problem-solving skills.

This camp turns coding into a playground for imagination, where every child becomes both a game designer and AI innovator.

What Children Would Learn
• Basic game design using Scratch’s block coding
• Key programming concepts like loops, variables, and conditionals
• How to animate characters with custom sounds and visuals
• How to use AI to create images, characters, and voices
• Logic and problem-solving through coding challenges
• How to build and refine their own interactive games

As they practice these skills, students write imaginative stories, solve real-world problems, create music, design simple games, and experiment with AI-generated images, characters, and sounds. No prior tech experience is needed. Throughout the course, they learn how to use AI as a learning partner, think critically about technology, and build future-ready skills for an AI-driven world.

Students are also introduced to the limitations of AI, its weaknesses, biases, and sources of error, so they understand how to use these tools thoughtfully and responsibly.

With revolutionizing changes in the society and work environment driven by Artificial Intelligence (AI) and Machine Learning (ML), we believe technology education is not a choice but a necessity for every child.

In this class, children will learn about Artificial Intelligence (AI) and Machine Learning (ML), understanding their applications and how they differ from search engines. They’ll explore prompt engineering, discover methods for training ML models, and learn to create audio from text and animated videos from audio using AI. This course encourages innovation and creativity while providing a foundational understanding of AI/ML.

Students will use 3D printing pens to design interesting objects, parts, and artwork while learning about additive manufacturing technology, its pros and cons as compared to traditional manufacturing methods.

Attention will be drawn to key design considerations related to aesthetics, structural stability, materials optimization, aspect ratio, ease of use, and functionality.

Students will be given specific themes to create their own designs before actually making those by using a 3D pen.

What Children Would Learn
Difference between additive and subtractive manufacturing

Advantages and disadvantages of 3D printing over traditional manufacturing methods

Design considerations related to:-

Aesthetics

Structural Stability

Materials Optimization

Aspect Ratio

Ease of Use

Functionality

Students will discover robotics and will develop an understanding of key machine parts, basic programming concepts and scientific observations related to the functioning of machines.

In addition to mechanical robotic parts, students will also be using sensors, along with Scratch programming to make their robot achieve multiple tasks.

Students will work collaboratively on building models and then, will be encouraged to think innovatively as they will be presented with challenge exercises.

A final project presentation will provide an opportunity for students to demonstrate their learning.

What You Would Learn
Axle Belt Cam Connector Gear Hub Motion Sensor Motor Pulley Tilt Sensor Worm Gear Bevel Gear Drag and Drop Programming Programming Logic