Teachers are expected to use data to inform their decisions in the classroom. This guide offers practical advice for teachers to help them gather useful student data, interpret the data schools generate and act on their findings.
Teachers are expected to use data to inform their decisions in the classroom. This guide offers practical advice for teachers to help them gather useful student data, interpret the data schools generate and act on their findings.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Richard Selfridge is a primary school teacher, data consultant and writer on education. His 2018 book for Sage Publications, Databusting for Schools, is an essential guide to the use and interpretation of education data. As well as teaching, working with schools on their use of education data and writing about education, Richard works as a consultant for the Driver Youth Trust supporting inclusion for literacy. A passionate advocate of sensible use of data in schools, Richard was part of ASCL's primary assessment expert panel alongside James, which indirectly lead to James and Richard working together as the Databusters, running workshops across the country and co-hosting the Databusters podcast. In his spare time, Richard can be found hunting follies, usually by bike, or playing, listening to, watching, talking, or thinking about music. He lives in Leeds with his wife Lindsay and daughters Martha and Connie.
Inhaltsangabe
Chapter 1 Getting the basics right - What data should you have at your fingertips and how can you gather useful data in class? Chapter 2 Generating data in class - what else do you need to know? Chapter 3 Subject specific knowledge - what do students know in different subjects? Chapter 4 Using data to ask questions - what should you want to know? Chapter 5 Using your data effectively - how do you maximise your use of data?
Chapter 1 Getting the basics right - What data should you have at your fingertips and how can you gather useful data in class? Chapter 2 Generating data in class - what else do you need to know? Chapter 3 Subject specific knowledge - what do students know in different subjects? Chapter 4 Using data to ask questions - what should you want to know? Chapter 5 Using your data effectively - how do you maximise your use of data?
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