TeachLab Presents The Homework Machine

Subtraction in Action: Matt Kraft


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In our latest episode of Subtraction in Action, our host Justin Reich is joined by Researcher and Professor Matt Kraft to discuss his latest paper “Instructional Time in U.S. Public Schools: Wide Variation, Causal Effects, and Lost Hours”. Subtraction in action is all about getting the stuff that we don't need out of schools so we can focus on the most important things, and Matt’s research offers some promising targets. 

Matthew Kraft is an Associate Professor of Education and Economics at Brown University. His research and teaching interests include the economics of education, education policy analysis, and applied quantitative methods for causal inference. His primary work focuses on efforts to improve educator and organizational effectiveness in K–12 urban public schools. His scholarship has informed efforts to improve teacher hiring, professional development, evaluation, and working conditions; changed how scholars interpret effect sizes in education research; and shaped ongoing investments in school-based tutoring and mentoring programs in the wake of the COVID-19 pandemic.

 

Resources and Links

Read Matt Kraft’s latest paper: Instructional Time in U.S. Public Schools: Wide Variation, Causal Effects, and Lost Hours

You can learn more about Matt’s work at matthewakraft.com.

Follow Matt Kraft on Twitter

Watch our film We Have to Do Something Different

Explore our Covid 19 Reports and Resources

Get your copy of Justin Reich’s book Failure to Disrupt: Why Technology Alone Can't Transform Education

Check out Jal Mehta’s Book In Search of Deeper Learning: The Quest to Remake the American High School

Subscribe to Jal’s podcast Free Range Humans

 

Transcript

https://teachlabpodcast.simplecast.com/episodes/matt-kraft/transcript

 

Produced by Aimee Corrigan and Garrett Beazley 

Recorded and Mixed by Garrett Beazley

 

Follow TeachLab on Twitter and YouTube

Follow our host Justin Reich on Twitter

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TeachLab Presents The Homework MachineBy MIT Teaching Systems Lab

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