The Raspberry Pi 400 system consists of a keyboard and mouse designed to hook up to a traditional monitor. It can be run through an ethernet connection or through a wireless connection. The Raspberry Pi OS is provided through an SD card which inserts into the keyboard. Using the Raspberry Pi 400 enables users to learn the fundamentals of coding but also offers the benefit of Internet access.
Course/SkillsBuild for Student Module: SkillsBuild Lab Raspberry Pi Learning Plan
Topic: Coding and Data Science
Length of class: time varies depending on activities chosen
Outcomes: What learners will be able to know, do, or value by the end of the lesson.
- Students will be able to identify the coding elements unique to Python.
- Students will know how to execute the appropriate programming code to accomplish a specific goals.
- Students will be able to identify and explore careers that utilize Python programming or the skills involved in software development.
Workplace learning skills:
- Agility and cognitive flexibility
- Analytical thinking
Required Learning Materials/Resources
- Raspberry Pi 400 (kit)
- LCD screen
- Optional add-ons (such as a Pi T-Cobbler) which might be required of selected projects (not included in the kit)
Mobile App capabilities
- PiUi: https://github.com/dps/piui (visit https://www.raspberrypi.org/blog/piui-control-your-pi-with-your-phone/ to watch a demo video)
Learning Environment Needs
The unit takes up the typical desktop space as would a normal keyboard and mouse.
Part 1: Intro to Raspberry Pi 400(30 mins)
Check for prior knowledge of Raspberry Pi and Python with the KWHLAQ worksheet. Ask questions like “What is Data Science?” “What does Raspberry Pi do?”
Students unbox and set up the Raspberry Pi 400 following the Raspberry Pi 400 – Unboxing and Setup video (8:21 min)
Introduce Python programming (through the Raspberry Pi 400 (see Guide – Chapter 5) or through the SkillsBuild for Students Python for Data Science course that students can complete as prework).
Part 2: Activity (around 40 mins)
Next complete one or more activities from the “Additional Resources” section of this guide or through the guide in the kit that accommodate time constraints and available materials. (To explore beyond the desktop, purchased components can be connected to prototype projects.)
Part 3: Career Focus (30 mins)
Check for prior knowledge. Ask students questions like “What kinds of careers could use Rasberry Pi?”, “What kind of industry could benefit from using Python coding?”
Have students read “6 Jobs You Can Land If You Learn Python” and “What is Python Used For? 5 Industries That Can’t Do Without It.” Students could also individually or in groups pick a career related to Python. Students will need access to a computer to search for info on their career. Ask them to complete this Career Research Graphic Organizer. If time allows, students can present their findings to the class. (optional)
Additional Resources/ Deeper Learning
- Software Developers
- Turn the Raspberry Pi 400 Into the Ultimate Amiga
- The MagPi – the Official Raspberry Pi Magazine – January 2021 issue (activity resources)
- Learn Python Tutorial – w3 Schools: (9 hrs)
- Getting Started with Your Raspberry Pi (free training course)
- Teaching Physical Computing with Raspberry Pi and Python (free training course)
- Raspberry Pi 4/Raspberry Pi 400 for Home Office Computer (video): (12:07 min) how to use the 400 for video conferencing, creating a VPN, and as a tool for creating office documents
Assessment / evaluation
Based on application, how I will I know learners have met intended outcome?
— KWHLAQ worksheet
— Teacher may wish to create a rubric for Raspberry Pi activity
Summary / conclusion
How will I bring lesson to an effective closing?
— Check for understanding and answer any subsequent questions
— Emphasize key information
— Ask the question “What information did you learn that you think you will find important 3 years from now?”
— Remind students that there are more relevant courses on SkillsBuild for Students to continue their learning
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