概要

"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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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.

概要

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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.

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