STEM & AI Training
I. Program Overview
A comprehensive, project-based K-12 learning track designed to take students from technological consumers to active creators. The framework aligns hands-on robotic build cycles with software logic, prompt iteration, and physical computing loops.
II. Curriculum Structure
Introductory Logic
- Block-Based Coding (Scratch, Blockly)
- Computational thinking fundamentals
- Basic simple machines & gear ratios
- Intro to electronics with paper circuits
Physical & Creative Tech
- Microcontroller coding (micro:bit, Arduino)
- Basic sensor interfaces & actuators
- 3D Design (TinkerCAD) & slicer basics
- IoT node configuration & logic loops
Advanced AI & Prototyping
- Textual Coding (Python scripting)
- Generative AI prompts & API structures
- 3D mechanical assembly & CAD modeling
- Agentic workflow logic & model fine-tuning
III. Core Learning Outcomes
AI & Robotics Lab Setup
I. Infrastructure Strategy
A turn-key, physical room blueprint optimized for collaborative, AI-first learning. The space is partitioned into modular, highly interactive technology bays, designed for dynamic classroom reconfigurations and multi-disciplinary project sprints.
II. Lab Modules & Hardware Layout
Generative AI Studio
Workstations running dedicated AI playgrounds, prompting interfaces, vector editors, and agent programming dashboards.
Robotics & IoT Bay
Equipped with microcontrollers (ESP32/Arduino), electronic test equipment, breadboards, jumper networks, and actuator kits.
VR Simulation Zone
Meta Quest/Immersive headset terminal setup. Supports architectural blueprints, virtual space design and science explorations.
3D Fabrication Farm
High-precision FDM 3D printers, ventilation setup, filament racks, and slicer/CAD processing stations.
Drone Dynamics Lab
Safe flying nets, telemetry nodes, block coding for autonomous drone paths, and flight simulators.
Electronics & DIY Sandbox
Soldering stations, safety glasses, component cabinets (resistors, LEDs, buttons, servos), and tool racks.
III. Implementation Roadmap
Site Audit & Design (Week 1-3)
Review dimensions, electrical feeds, networking portals, and design a customized modular desk layout.
Procurement & Customization (Week 4-8)
Ship pre-integrated modular cabinetry, selected microcontrollers, 3D printers, and workstation rigs.
On-Site Assembly & Testing (Week 9-11)
Mount safety equipment, wire workstations, run firmware calibration on 3D printers, and test IoT local servers.
Handover & Training Launch (Week 12)
Deploy default custom curricula catalogs and start teacher training operations.
AI for Teachers & Educators
I. Professional Development Overview
A comprehensive teacher empowerment track aimed at establishing artificial intelligence literacy, ethical standards, and classroom integration strategies. Rather than replacing educators, this training equips teachers to leverage generative AI as a powerful co-pilot.
II. Core Training Modules
AI Literacy & Safety Foundations
Understanding LLMs, transformers, neural networks, hallucination controls, and data privacy protocols (compliance with COPPA/GDPR in student setups).
Prompt Engineering for Educator Productivity
Advanced prompt loops for drafting custom lesson plans, generating targeted question banks, and setting structured multi-criteria grading rubrics.
Curriculum Integration & Assessment Design
Designing assignments that encourage active AI collaboration (like prompt analysis) while creating robust mechanisms to assess genuine student understanding.
III. Certification & Deliverables
Educators who complete the **40-hour hybrid training** course receive accredited certificates and a digital portfolio containing:
- 3 customized lesson plans (AI integrated)
- 10 prompt templates for grading
- School AI Ethics Integration Guideline