The Grade 1 curriculum is play-based and engaging, ensuring that children enjoy their learning experience. Safety and ethical considerations are paramount when teaching about drones, AI, and data analytics. The curriculum also accommodates different learning styles and paces, with a focus on nurturing their minds.

Month 1-2: Introduction to STEM Concepts
Week 1-2: Science Exploration

Introduce scientific inquiry through observations and simple experiments.
Explore basic concepts such as states of matter and living organisms.
Week 3-4: Technology Literacy

Introduce technology tools and their applications.
Explore the use of simple educational software and interactive platforms.
Month 3-4: Math Adventures and Problem Solving
Week 1-2: Math Adventures

Build on basic math concepts with a focus on addition and subtraction.
Introduce measurement through hands-on activities.
Week 3-4: Problem-Solving Skills

Foster critical thinking through problem-solving activities.
Encourage students to communicate and explain their thought processes.
Month 5-6: Engineering and Robotics Fundamentals
Week 1-2: Introduction to Engineering

Explore engineering principles through building projects.
Introduce basic concepts of structures and stability.
Week 3-4: Introduction to Robotics

Learn about robot components and basic programming concepts.
Engage in hands-on activities with programmable robots.
Month 7-8: Exploring Drones and Technology Ethics
Week 1-2: Drone Science

Explore the principles of flight and navigation.
Engage in simple coding activities for drone control.
Week 3-4: Technology Ethics

Discuss the ethical use of technology.
Explore the impact of technology on society and the environment.
Month 9-10: Introduction to AI and Machine Learning
Week 1-2: Understanding AI

Introduce the concept of artificial intelligence.
Explore examples of AI in daily life.
Week 3-4: Basics of Machine Learning

Explore how machines learn from data.
Engage in simple machine learning activities using age-appropriate tools.
Month 11-12: Data Analytics and Integration
Week 1-2: Introduction to Data Analytics

Introduce basic data concepts and visualization.
Engage in activities that involve collecting and interpreting data.
Week 3-4: Integration of STEM Concepts

Integrate knowledge from science, technology, engineering, math, AI, and robotics.
Collaborative projects that involve problem-solving and creativity.