STEM teaching and research

Advice for academics and lecturers working in the fields of science, technology, engineering and maths to help advance STEM research and teaching. These resources cover issues such as how to widen participation and get more women into STEM fields, preparing students for STEM careers, managing the impact of AI on STEM learning, building industry collaborations and communicating STEM research for greater impact.

Image showing data processing and analytics

Foundations to lay when teaching computational and data skills

Traditional teaching in data analysis focuses on statistics and visualisation but an emphasis on foundational data and computational skills is needed to prepare students to work with real data, explains Philip Leftwich

Philip Leftwich

The University of East Anglia

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