Experiential Learning: Solving real world problems

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Experiential Learning: Solving real world problems

30 Mar 2023
Teaching & Learning
Innovation , Skills , Futures
Find out how Educator Mark Martin MBE has been using modern computing tools and teaching techniques to develop cutting-edge, sandboxed learning environments where students learn about and tackle society's grand challenges one project at a time, one local community at a time. This session will explore approaches to promoting experiential learning of digital skills in schools using air pollution as a driving force for good. Investigating air pollution in their local area has three key components: (i) a sensing infrastructure to collect data; (ii) abstractions to query data; and (iii) educational material for learners to create their own data views and applications and communicate their findings. The aim is to expose students and schools to modern data science, AI and data visualisation techniques. We anticipate that our project will enhance learners' CV, UCAS applications, tech portfolios and career prospects.
Speakers
Mark Martin MBE, Assistant Professor in Computer Science and Education Practice - Urban Teacher

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