Apps for Good

Apps for Good delivers computer-free courses that teach students app design and machine learning through hands-on problem-solving activities, developing both technical understanding and essential employability skills.

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Apps for Good

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Apps for Good "Welcome to Apps for Good on ChangeX! We’re delighted you are thinking about delivering one of our courses. Here you will find everything you need to pass on vital digital and employability skills to your students. We will be here to support you on each stage of your Apps for Good journey!" - Heather Picov - CEO, Apps for Good

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Once you have signed up as an educator on our Apps for Good website, you will have access to all the resources and can deliver a course. All of our courses are between 7-9 hours long with optional follow-on materials and opportunities for industry engagement.

Find out more about Apps for Good

Apps for Good have been continually adapting our content to the ever-changing education landscape for teachers and young people in the UK.

Apps for Good courses teach students about new technologies while equipping them with the problem solving, creativity and teamwork skills needed to thrive. We know that accessing IT equipment can be a challenge right now, and that's why we have released "unplugged" versions of some of our regular courses where all work can take place on paper!

After a course, students show an increase in technical and non-technical skills such as: confidence, product design, teamworking, public speaking, presenting and problem solving.

Discover our paper based App Design and Machine Learning courses

App Design - Unplugged

App development course that can be delivered in a standard classroom without access to laptops/computers

  • Primary & Secondary
  • 7-9 sessions
  • Unplugged computer free activities
  • No programming required

How it works:

  • Students identify a real life problem they care about
  • They research the problem so that they understand fully both the problem and who is affected by it then design a solution to the problem using an app
  • Students can work individually or in teams
  • Course can be delivered in a standard classroom without access to laptops/computers
  • Covers impact of technology, understanding user needs, UX design, use of flowcharts/pseudocode, pitching ideas

Machine Learning Unplugged

Machine learning course that can be delivered in a standard classroom without access to laptops/computers.

  • Secondary & FE
  • 7 Sessions
  • Unplugged computer free activities
  • No programming required

How it works:

  • Students explore a range of machine learning applications.
  • They consider the social, practical and ethical aspects of machine learning.
  • Students then identify a real life problem they care about -- Students can work individually or in teams to design a machine learning model to solve the problem they have identified.
  • Course can be delivered in a standard classroom without access to laptops/computers.
  • Course includes facial recognition, chatbots, recommendation and decision systems, self-driving cars, bias in machine learning algorithms, impact on employment.

Take a look at our scheme of work

Get a quick overview of the course structure Review the learning objectives and outcomes for each session.

App Design Unplugged: Scheme of Work

Machine Learning Unplugged: Scheme of Work

Explore our learning resources

App Design Unplugged: Course sessions

  • Session 1: Launch
  • Session 2: Team Building (optional)
  • Session 3: Spotting Problems
  • Session 4: Selecting Problems
  • Session 5: Industry Engagement (Optional)
  • Session 6: Understanding your users’ needs
  • Session 7: UX Design
  • Session 8: Planning your build
  • Session 9: Pitch your ideas

Student Workbook

  • Printable student A4 workbook containing practical activities
  • Guides you and your students through the course
  • Fully editable, making it easy for you to adapt to meet your needs

Machine Learning Unplugged: Course sessions

  • Session 1: What is machine learning
  • Session 2: Facial recognition
  • Session 3: Natural language processing
  • Session 4: Recommendation Systems
  • Session 5: Decisions & Ethics
  • Session 6: Putting it all together
  • Session 7: Designing your own model

Officially register to deliver Apps for Good

You can sign-up to deliver Apps for Good & find out more here. Please get in touch if you have any questions by emailing [email protected] .

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