References: Applied Learning and Capstone Projects

1. Project-based learning - Wikipedia - Explains the learn-by-building approach that drives capstone work. Sets the context for this chapter's open-ended projects.

2. Computational thinking - Wikipedia - Covers decomposition, pattern recognition, abstraction, and algorithm design. Reinforces the problem-solving skills this chapter asks students to apply.

3. Physical computing - Wikipedia - Describes building interactive systems that sense and respond to the real world. Directly captures the spirit of this chapter's projects.

4. Make: Electronics (3rd Edition) - Charles Platt - Make Community - A project-rich reference for combining components into working builds, ideal for planning capstone projects.

5. Get Started with MicroPython on Raspberry Pi Pico - Gareth Halfacree & Ben Everard - Raspberry Pi Press - The official book's projects show how to combine sensors, displays, and motors as this chapter encourages.

6. Raspberry Pi Projects - Raspberry Pi Foundation - A large library of free, step-by-step projects, many for the Pico. A great source of capstone ideas for this chapter.

7. Adafruit Learn - Adafruit - Thousands of guided hardware projects with wiring and code. An excellent place to find inspiration and parts for the chapter's builds.

8. The MagPi (Official Raspberry Pi Magazine) - Raspberry Pi - Free magazine issues packed with project tutorials and ideas. Supports students looking for capstone-project inspiration.

9. Raspberry Pi Pico Projects (MicroPython) - Random Nerd Tutorials - A hub of complete Pico projects combining sensors, displays, and wireless features. Directly useful for assembling a capstone.

10. Instructables: Circuits - Instructables - A community library of electronics projects with photos and instructions. A broad source of ideas for the chapter's applied work.