PBL Learning Model · 4-8 Sessions per Project · Tech Innovation Portfolio
Cultivating future tech innovation elites, empowering children to become future inventors who create value through technology
Through programming, robotics, AI and other diverse courses, developing tech innovation capabilities

"The popularization of Artificial Intelligence (AI) has leveled the technical threshold, placing everyone on the same starting line. In this era, creativity is no longer limited by age, and everyone has the entrepreneurial potential to change the world."
This course aims to equip students with core competencies to master the future, enabling them to be not just consumers of technology, but Future Makers who create value through technology.
Keeping pace with cutting-edge technology and social development, maintaining keen awareness of future trends.
In-depth exploration of generative AI, gerontechnology, SDGs sustainable development goals, embodied intelligence, blockchain, metaverse, autonomous driving and other cutting-edge technology fields.
Guiding students to understand how technology impacts social development, cultivating awareness of tech ethics and social responsibility, becoming future tech innovation talents with forward-looking vision.
Guiding students to address real-world problems through a deep learning cycle of "inquiry, design, implementation, and reflection", cultivating interdisciplinary project-solving abilities.
Guiding students from problem definition, through field research, data collection and analysis, to understand the complexity of the real world.
Encouraging students to transform abstract ideas into physical mechanisms, converting concepts into feasible solutions through design and planning.


We emphasize "software-hardware integration" tech innovation literacy:
Mastering AI Artificial Intelligence, VR Virtual Reality, 3D Modeling, Drones and Robotics, using them as tools to solve problems.
Solidly teaching Mechanical Engineering (Mechanics), Electronics and Physics Structure Knowledge, ensuring students understand the scientific operational logic behind technology (Scientific Method).
Simulating Silicon Valley startup R&D model, from Design & Plan, Make & Engineer, to Pitch & Launch, training logical expression and promoting innovative ideas to the public.
Learning the complete development process from market research, needs analysis, prototype design to product testing, cultivating systematic thinking.
Training students on how to present their work to different audiences, including technical explanations, business value articulation and demonstration skills, cultivating communication and expression abilities.

We encourage students to step out of the classroom and transform classroom achievements into competition entries. Through participation in inter-school and public STEAM innovation competitions, validate learning outcomes and build a competitive Personal Learning Portfolio.
Through participation in various types of STEAM competitions, students validate learning outcomes in real competitive environments, cultivating stress resilience and team collaboration spirit.
Recording students' project works, competition achievements and growth trajectories, establishing complete capability proof for future education and career development.
Master the latest technology tools, become future tech innovation elites
Providing differentiated project content based on students' cognitive development stages
6.5 - 8.5 Years

Observation training, basic physics and mechanics cognition, spatial structure construction
Emphasizing hands-on practice, transforming abstract ideas into physical mechanisms
9 - 12 Years

Scientific experiment variable control, algorithm logic, system integration, complex solution design
Emphasizing software-hardware integration, data analysis and social issue resolution
AI Smart Recycling Device (Theme: Sustainable Development)
Demonstrating the complete R&D process of how upper primary students use AI to solve social problems

Background Exploration: Introducing UN Sustainable Development Goals (SDGs)
Pain Point Analysis: Exploring reasons for low community recycling rates
Entrepreneurial Ideation: Proposing solution—developing smart recycling app
Design Thinking: Apply design thinking tools to plan solutions
Prototype Design: Create sketches and flowcharts, design system architecture
Resource Planning: Determine required technologies, tools, and materials


Technical Implementation: Develop projects using AI, VR, 3D and other technologies
Function Testing: Repeatedly test and adjust to ensure proper functionality
Optimization: Improve design and performance based on test results
Product Launch: Creating business presentation (Pitch Deck)
Reflection & Optimization: Simulating startup pitching
Social Impact: Exploring how to promote product to community applications
