GRADE 3 Curriculum

This grade 3 curriculum is engaging, hands-on, and age-appropriate. It introduces fundamental concepts while fostering curiosity and critical thinking: It begins by teaching fundamental concepts in mathematics such as counting measuring, data collection, simple graphs, and how to interpret graphs. It then follows with Geometry discussing simple shapes, angles and symmetry. It then introduces the basic scientific method, the life sciences, the physical sciences, earth science as well as technology and engineering including robotics, drone science, AI, Machine Learning and Data Science.

Subject: Mathematics
5. Introduction to Data: Teach students how to collect and organize data, including creating simple graphs and charts.
6. Number Patterns: Explore number patterns and sequences to develop problem-solving skills.
7. Measurement: Introduce units of measurement, such as length, weight, and volume. Engage in hands-on measurement activities.
8. Geometry: Explore basic geometric shapes, angles, and symmetry through hands-on activities like creating and measuring shapes with robotic tools.

Subject: Science
5. Introduction to the Scientific Method: Teach the scientific method through simple experiments and data collection.
6. Life Sciences: Explore ecosystems, animal adaptations, and the human body. Encourage students to investigate and record their findings.
7. Physical Sciences: Introduce the concepts of energy, forces, and motion through simple robotics projects.
8. Earth and Space Sciences: Study topics such as weather, seasons, and the solar system using interactive simulations and models.
Subject: Technology and Engineering
4. Introduction to Robotics: Familiarize students with basic robotics concepts, including components, sensors, and simple programming to make robots move and interact.
5. Coding and Programming: Introduce block-based coding languages like Scratch to create basic programs and animations.
6. Introduction to AI: Simplify AI concepts, explaining how machines can "learn" from data and make predictions, with simple AI projects like chatbots.

Subject: Drone Science
4. Introduction to Drones: Explore the history and basic mechanics of drones. Discuss their various uses, including aerial photography, medical delivery and data collection.
5. Drone Safety and Ethics: Teach students about drone safety and the ethical use of drones. Discuss regulations and guidelines.
6. Drone Piloting: Provide hands-on experience with micro-drones to teach students the basics of drone flight, including takeoff, landing, and maneuvering. Play drone Games in the Lab

Subject: Data Science
4. Data Collection: Teach students to collect and record data from simple experiments using basic tools like thermometers and scales.
5. Data Visualization: Introduce basic data visualization techniques using charts and graphs.
6. Data Interpretation: Help students interpret data, identify trends, and draw conclusions from their experiments.


Subject: Machine Learning (Introduction)
3. Understanding Algorithms: Simplify the concept of algorithms and how they are used in machines.
4. AI and ML Applications: Discuss real-world applications of AI and ML, such as image recognition and recommendation systems, using age-appropriate examples.
Integrated Projects and Activities:
• STEM Challenges: Engage students in various STEM challenges that require them to apply knowledge from multiple subjects to solve real-world problems.
• Science Experiments: Encourage students to design and conduct simple science experiments, recording and analyzing their findings.
• Robotics and Coding Projects: Have students work on robotics and coding projects, such as building a simple robot or creating a basic animation.
• AI and ML Demonstrations: Showcase AI and ML technologies through interactive demonstrations, letting students see how they work in practical scenarios.
• Field Trips and Guest Speakers: Organize field trips to technology companies, science centers, or invite guest speakers from STEM fields to inspire and educate students.

Assessment and Evaluation:
• Use a mix of formative and summative assessments, including quizzes, hands-on projects, presentations, and observation, to evaluate students' progress and understanding.
Cross-Curricular Connections:
• Emphasize the interconnections between subjects, such as using data collected in science experiments for math and data science lessons, or coding robots to perform tasks related to science topics.

This grade 3 curriculum provides students with a solid foundation in STEM subjects while fostering a love for learning and exploration. It introduces key concepts while encouraging hands-on, inquiry-based activities and collaborative problem-solving. It's essential to keep the content age-appropriate and engaging to build a strong STEM foundation for the future.