DomiKidsAI
1
STEP 01
Question & Hypothesis
Identify resource waste, excessive emissions, and ecological imbalance; frame a testable question for an AI-and-3D-enabled net-zero city.
E
CITY ENERGY SYSTEM / INITIALIZING
Sustainable EarthECO CITY BASE READY
SUSTAINABLE EARTH / LIVE SYSTEM
Sustainable Earth
A city that grows its own energy
Powered by the DomiKids AI creative platform, this course combines AI ideation, 3D printing, simple electronics, and hands-on making to explore a living future city. Turn the big idea of net zero into a creation you can see and run.
The learning journey connects low-carbon urban energy systems, net-zero city research, and the real challenges behind carbon peak, carbon neutrality, and ecological innovation.
The course is informed by national initiatives for carbon peak, carbon neutrality, ecological innovation, and sustainable urban development.
Creative studio time: 6 lessons
SMART CONTROL · LIVE
A BREATHING CITY CURRICULUM
A Curriculum for a Breathing City
Student-led · teacher-guided · assessed throughoutScientific inquiry is a core competency. Students follow a complete process: frame questions and hypotheses, collect and analyze evidence, design solutions, explain conclusions, build and improve prototypes, then communicate and reflect.
Learning Loop
2
STEP 02
Plan & Design
Map a complete chain from recovery and recycled feedstock to AI modeling and 3D printing, then design the energy and ecology systems.
3
STEP 03
Evidence Collection & Analysis
Research city emissions, recycled-resource cases, and renewable-energy data; use AI simulation to test the proposal.
4
STEP 04
Conclusion & Explanation
Use evidence to evaluate the initial hypothesis and explain how AI and 3D technology strengthen circular systems.
5
STEP 05
Prototype & Improvement
Build and test a miniature city; iterate on structure, energy use, and ecological modules using the results.
6
STEP 06
Communication & Reflection
Present through a defense and display board, review trade-offs, and reflect on resource stewardship.
RESEARCH-DRIVEN CONTEST COURSE
Research-Driven Contest Course
Three Top-Level Support Modules
Research-backed content
Built on real low-carbon, ecological innovation, and youth science-competition directions, with evidence-based city-resource, AI-planning, and renewable-energy scenarios.
A complete delivery system
DomiKids AI supports concept imagery, 3D models, display assets, and films, with lesson plans, prompt libraries, parts lists, and build guidance for all six lessons.
Visible learning outcomes
Students create AI concept art, digital 3D models, an interactive eco-city sandbox, display boards, a project film, and an original project report.
END-TO-END INNOVATION PRACTICE
End-to-End Innovation Practice
From scientific concept to physical model — from 0 to 1Foundational understanding
Technology tools
Core algorithm experience
Innovation project studio
Solution evaluation
Core Platform
domikids.cn (Shenbi Ma Liang AI) youth creation platform.
Platform Capabilities
AI drawing, 3D model generation, copywriting, demo video, board assets, and more…
FOUR AI FUSION DIRECTIONS
Four AI Fusion Directions
AI + green ecological creation across four fields
AI + Low-Carbon City Innovation
Plan net-zero districts, simulate clean-energy systems, and test circular-resource and ecological-control scenarios.
AI + Green Engineering
Model and 3D-print circular components, build with recycled materials, and create an integrated physical city sandbox.
AI + Core Competencies
Research climate policy, structure project logic, collaborate in teams, and present evidence-based outcomes.
AI + Interdisciplinary Inquiry
Combine environmental science, energy engineering, electronics, circular resources, and urban planning.
DUAL TECHNOLOGY FOUNDATIONS
Two Technology Foundations
Hardware coding & AI prompting to support invention end-to-endHardware / Hardware + Code
Hands-on recycled-model 3D printing, clean-energy control modules, water circulation, solar and wind components, a sorting arm, ecological sensors, and a net-zero city sandbox.
PVWindStorageWaste heatWaste-to-energy
Software / AI + Prompt
AI prompt design, low-carbon concept imagery, sustainable display-board creation, project-film production, and iterative circular-resource simulations.
PromptsDispatch artEnergy boardSimulation
The full model is an integrated panoramic zero-carbon city sandbox that restores the complete loop—from waste recovery and recycled feedstock transport to AI 3D circular-component printing, multi-source clean energy, ecological living communities, and intelligent urban control.
OVERALL COURSE GOALS
Overall Course Goals
Centered on building a sustainable zero-carbon eco-city, the course focuses on resource recycling, AI low-carbon planning, and 3D green manufacturing—guiding students through full-process practice from scientific inquiry to engineering delivery.STEAM Learning Goals
S
S Science
Explore national research on urban solid-waste recycling, carbon neutrality, and clean energy; analogize multi-scenario resource recovery, remanufacturing, and ecological balance while learning environmental science.
T
T Technology
Learn recycled-material 3D printing workflows and use Shenbi Ma Liang AI to generate low-carbon concept art, board copy, project assets, and demo films.
E
E Engineering
Simulate AI-assisted automated construction flows and build integrated engineering models with robotic arms, conveyors, and AI printing equipment.
A
A Art
Create terrain and scenery with mixed materials; practice sandbox coloring, set dressing, and spatial visual design.
M
M Mathematics
Apply ratio and measurement in model building to plan sandbox layouts and part placement.
Practice Goals
Collaborate to complete the full workflow: circular-part AI design, recycled 3D printing, hand assembly, basic electronics debug, and eco-city sandbox scenery.
Competency Goals
Build low-carbon engineering thinking, green design ability, and teamwork habits; form a clear creation logic and independently write design notes and defense scripts.
AI ENERGY DISPATCH CONSOLE
AI Energy Dispatch Hub
From energy data collection to integrated engineering evaluation through a complete low-carbon decision processAI Energy Modeling · Build a district net-zero dispatch system
Run AI dispatch models for PV, wind, storage, waste heat recovery, and solid-waste conversion to compare output, consumption, and dispatch conditions across five energy units
76%PV generation potential
65%Fossil energy substitution rate
58%Local power consumption fit
83%Site deployment conditions
70%Grid load compatibility index
CLOSED-LOOP LEARNING
Learning Loop
A 6-lesson creation journey1
Challenge Brief
Challenge BriefConcept DesignAI Assets
Course content: Explore net-zero districts and circular-city models. Teams use AI to create an initial eco-city vision, plan a district layout, and assign roles.
2
Low-Carbon Structures
Low-Carbon Structures3D Modeling
Course content: Learn the basics of sustainable 3D design; break the city into recyclable-material, solar, water-cycle, and sorting-system components.
3
3D Printing
3D PrintingHands-On Components
Course content: Produce printed and handmade components from recycled materials, then build the terrain, wetlands, green zones, and redevelopment sites.
4
Powered Systems
Powered SystemsCircuit Testing
Course content: Assemble solar tracking, water circulation, and resource-sorting modules; test simple renewable-energy circuits and sensors.
5
City Assembly
City AssemblySceneryPresentation
Course content: Complete the six low-carbon districts, create rain gardens and photovoltaic zones, and use AI to produce display boards and a project film.
6
Refinement
RefinementWritingMock Defense
Course content: Improve the model, write an original design statement, rehearse the project story, and present the final solution.
INNOVATION HIGHLIGHTS
Innovation Highlights
National research directions · Interdisciplinary fusion
Grounded in real low-carbon development directions and the transition from site renewal to a city-wide net-zero vision.
Connects AI, eco-friendly 3D printing, electronics, recycled-material making, and STEAM learning.
Uses DomiKids AI across ideation, concept imagery, presentation assets, and project-video production.
Builds a large interactive eco-city sandbox that demonstrates waste recovery, water circulation, and clean-energy supply as one system.