EPDEL SCHOOL PROGRAM
AI Education for the Next Generation
EPDEL helps schools introduce AI education from Grade 4 to Grade 10 through mathematics, computational thinking, programming, practical laboratories, robotics, experimentation, and project-based learning.
Grades 4–10 • Practical Learning • AI Labs • Robotics • Projects
Overview
Building AI capability from the classroom
Start with curiosity⌃
Students begin with age-appropriate activities that introduce patterns, logic, computational thinking, and the basic ideas behind intelligent systems.
Learn through practical experience⌄
Students explore concepts through guided experiments, coding activities, data exercises, mathematics, robotics, and practical AI laboratory sessions.
Build projects⌄
As students progress, they apply their learning to increasingly challenging educational projects involving programming, data, sensors, robotics, machine learning concepts, and intelligent systems.
Develop future-ready skills⌄
Students progressively develop computational thinking, mathematical reasoning, programming ability, experimentation, problem solving, communication, and responsible AI awareness.
School Learning Ecosystem
Designed around the school learning ecosystem
School Management
Create a structured pathway for introducing AI education across Grades 4–10.
ExplorePrincipals & Academic Leaders
Bring practical, age-appropriate AI learning into the school's academic environment.
ExploreTeachers
Support teachers with structured activities, practical labs, robotics, resources, and project-based learning.
ExploreStudents
Learn AI concepts, experiment, code, build projects, work with robots and sensors, and solve problems.
ExploreParents
Understand how students progressively develop AI, mathematics, programming, robotics, and problem-solving capabilities.
ExploreEPDEL SCHOOL PROGRAM
A complete AI learning pathway for Grades 4–10
AI Foundations
Age-appropriate introduction to artificial intelligence, patterns, logic, computational thinking, and intelligent systems.
Explore programMathematics for AI
Connect mathematical thinking with data, patterns, probability, statistics, graphs, algorithms, and AI concepts.
Explore mathematicsProgramming
Progress from computational thinking and visual programming to Python, algorithms, data, and practical coding projects.
Explore codingPractical AI & Robotics Labs
Hands-on laboratory activities where students experiment with data, algorithms, sensors, robotics, machine learning concepts, and intelligent systems.
Explore labsAI Projects
Students apply their learning through progressively challenging AI, programming, robotics, and data projects designed for their grade level.
Explore projectsGRADE-WISE LEARNING
One pathway. Four stages of learning.
EPDEL progressively develops student capability from Grade 4 through Grade 10. Learning depth increases with age, experience, mathematics, programming ability, robotics exposure, and project complexity.
Grades 4–5
Discover AI
Patterns, logic, computational thinking, basic mathematics, visual programming, data awareness, simple robotics activities, and introductory AI concepts.
Explore learning
Grades 6–7
Explore AI
Programming fundamentals, data, algorithms, statistics basics, sensors, robotics, and introductory machine learning concepts.
Explore learning
Grades 8–9
Build With AI
Python, mathematics for AI, data analysis, algorithms, machine learning fundamentals, sensors, computer vision concepts, and practical AI projects.
Explore learning
Grade 10
Develop AI Solutions
Advanced programming, mathematical foundations, machine learning, model evaluation, optimization concepts, robotics integration, and end-to-end educational projects.
Explore learning
Practical Learning
AI & Robotics Laboratory
Students learn by connecting programming, sensors, data, robotics, experimentation, and intelligent decision-making.
Explore learning
Project-Based Learning
From Idea to Project
Students turn concepts into educational prototypes, experiments, robots, models, programs, and presentations.
Explore learningStudent Progression
How Learning Progresses
Younger students begin with curiosity, logic, patterns, simple robotics, data awareness, and visual programming. Students progressively move into Python, sensors, statistics, machine learning, model evaluation, intelligent systems, and research-oriented projects.
GRADE 4–5
Curiosity & Computational Thinking
- Patterns
- Logic
- Algorithms
- Simple mathematics
- Visual programming
- Data awareness
- Simple robotics
- Basic AI concepts
GRADE 6–7
Programming & Experimentation
- Programming fundamentals
- Data
- Algorithms
- Statistics
- Sensors
- Robotics activities
- Machine learning concepts
- Practical experiments
GRADE 8–9
Programming, Data & Machine Learning
- Python
- Mathematics for AI
- Statistics
- Data analysis
- Algorithms
- Machine learning
- Computer vision concepts
- Robotics integration
- Practical AI projects
GRADE 10
Advanced AI Projects
- Advanced Python
- Probability
- Statistics
- Machine learning
- Model evaluation
- Optimization concepts
- AI applications
- Intelligent systems
- Research-oriented projects
AI + ROBOTICS
Students learn how code can interact with the physical world
From sensors to intelligent behaviour
Robotics gives students a visible, practical way to understand programming, sensing, decision-making, automation, and intelligent systems.
Students can connect simple programs with sensors and educational robotic systems, observe how inputs affect behaviour, test ideas, identify errors, and improve their solutions.
Sensors → Data → Logic → Programming → Decisions → Robot Behaviour
Practical AI Laboratories
AI Is Learned by Doing
EPDEL practical labs give students an opportunity to move beyond theory and explore AI concepts through experiments, robotics, coding, sensors, data, mathematics, and projects.
EPDEL
AI LAB
AI LAB
Inside an EPDEL AI & Robotics Learning Lab
Students work in teams to investigate problems, use laptops and educational robots, collect or explore data, write programs, test ideas, analyze results, improve their systems, and present what they have learned.
Explore Practical Labs
AI & Pattern LabStudents explore how machines identify patterns and make decisions from examples.
Data LabStudents collect, organize, visualize, and interpret data.
Machine Learning LabStudents explore how models learn from examples through guided educational experiments.
Robotics & Sensor LabStudents connect sensors, programming and physical systems.
Programming LabStudents turn logical ideas into working programs.
Mathematics for AI LabStudents connect mathematical concepts with practical AI activities.
FROM CLASSROOM TO PROJECT
Let students build what they learn.
Students apply concepts through age-appropriate educational projects that become progressively more challenging from Grade 4 to Grade 10.
Grade 4–5: Pattern Detective • AI Decision Game • Smart Sorting
Grade 6–7: Data Explorer • Prediction Challenge • Smart Sensor
Grade 8–9: Image Classification Project • AI Data Investigator • Smart School Prototype
Grade 10: Machine Learning Application • AI Prediction Project • Intelligent Robotics Project • AI Research Project
Learning Foundations
Mathematics, programming and responsible AI
Mathematics becomes meaningful through AI
Students progressively connect mathematics with practical AI learning. Patterns, graphs, probability, statistics, vectors, data, and optimization are introduced at an age-appropriate level.
Patterns → Graphs → Data → Probability → Statistics → Algorithms → Machine Learning
From Logic to Code
Grade 4–5 begins with computational thinking and visual programming. Grade 6–7 develops programming foundations. Grade 8–9 introduces Python and data. Grade 10 moves toward advanced programming and AI projects.
Logic → Visual Programming → Programming Foundations → Python → Data → AI Projects
Learn AI. Use It Responsibly.
Students understand not only what AI can do, but also how intelligent technologies should be used safely, fairly, thoughtfully, and responsibly.
Privacy → Safety → Fairness → Bias Awareness → Check AI Outputs → Human Judgment
School Collaboration
How EPDEL Works With Schools
UNDERSTAND
Understand the school's academic environment, student levels, infrastructure, and goals.
DESIGN
Create an age-appropriate AI, programming, and robotics learning pathway.
PREPARE
Coordinate teachers, facilitators, resources, laboratory equipment, and practical learning requirements.
DELIVER
Conduct structured learning sessions, practical labs, coding, robotics experiments, and projects.
SHOWCASE
Give students opportunities to demonstrate and explain what they have built and learned.
For Schools
What EPDEL Brings to the School
Grade-Wise Curriculum
Structured progression from Grade 4 to Grade 10.
Practical AI & Robotics Labs
Hands-on learning experiences using coding, data, sensors, robotics, and experimentation.
Project-Based Learning
Students apply concepts through age-appropriate educational AI and technology projects.
Teacher Support
Resources and guidance for teachers and facilitators.
Student Assessment
Track understanding, experimentation, implementation, and problem solving.
Student Showcase
Opportunities for students to present AI, robotics, coding, and technology projects.