• Length:
    10 Weeks
  • Effort:
    1–2 hours per week
  • Price:

    Add a Verified Certificate for $49 USD

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  • Subject:
  • Level:
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  • Video Transcript:
  • Course Type:
    Self-paced on your time

Associated Programs:


Pre-requisite Computing subject knowledge and practical application:

• Hardware/boards/sensors/motors etc.

• Computing theory focused on the core concepts (Sequence, Selection, Iteration)

• Physical computing projects and application of core concepts

• Applying computational techniques to problem solving

• Physical/engineering problem solving

• Basic electronics

About this course

Skip About this course

The first course in our program for Computer Science teachers, Teaching with Physical Computing , introduces you to the core elements of physical computing such as common hardware platforms, as well as the learning theories, orthodoxies and concepts that underpin a Project-Based Learning pedagogy. It also shows how Physical Computing offers an effective means for transforming classroom teaching of Computer Science into a rich, practical learning experience that enables all learners the opportunity to develop and practice a broad range of STEM skills.

The course explores how Physical Computing devices – from BBC Micro:bit to Raspberry Pi and Arduino – can enable educators to apply a constructionist approach to computing in the classroom, using real-world contexts to engage and inspire learners to be creative with technology.

You will also learn about teaching approaches and how they relate to computational thinking.

What you'll learn

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* Introduction to course

  • Learning outcomes
  • How you will be assessed

  • Required hardware and software (micro:bit, Arduino, Raspberry Pi)

  • The big picture of Physical Computing

  • What is Physical Computing?

  • IoT

  • Brief description of the orthodoxies

  • Learning theories

  • Current research

  • The big picture of “learning”

  • Valuing aspects of all the approaches

  • The Arm School Program approach

  • Linking theory to practice

  • Comprehensive reflection on many learning theories (theoretical constructs)

  • Comprehensive reflection on many teaching approaches

  • Computational thinking

  • Abstraction

  • Decomposition

  • Logic and problem solving

  • Classroom investigation

  • Action Research

  • Case Study/SurveyEducational Research and Design

  • How to gather data/results

  • Ethical considerations

Module 1 Introduction

Module 2 Required hardware and software (micro:bit, Arduino, Raspberry Pi)

Module 3 The big picture of physical computing

Module 4 Brief description of the orthodoxies

Module 5 The big picture of learning

Module 6 The ASP approach

Module 7 Comprehensive reflection on many learning theories

Module 8 Comprehensive reflection on many teaching approaches

Module 9 Computational thinking

Module 10 Classroom investigation

Meet your instructors

Robert Leeman
Educational Solutions Manager
Arm Ltd
Dr John Woollard
Teaching fellow
University of Southampton
Gareth Edgell
Head of Computer Science
Kingswood School

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