The Education Deans Alliance brings together the deans and presidents of 11 leading schools of education for the purpose of promoting the highest standards of research throughout the education profession and advancing the position of our institutions as national leaders in education research and policy. The following is the latest in a series of paid columns that the Alliance is publishing in Education Week.

In our opinion

A New Model for Education Research

By Kathleen McCartney

Carl Sagan once observed that somewhere, “something incredible is waiting to be known.”

This is as true for education science as it is for astronomy. Somewhere amidst piles of student achievement data and scores of new reform efforts, knowledge that will transform teaching and learning is waiting to be known. But discoveries, whether in the stars or in our schools, are not enough. Discoveries must be relevant to today’s problems in education and must be the product of rigorous research.

Working at the nexus of practice, policy, and research is the most powerful way to improve education. For example, Professor Tom Kane of the Harvard Graduate School of Education began with a question of the relation between the certification status of teachers and the performance of their students. He conducted a value-added study in New York City’s public schools, under the auspices of his Project on Policy Innovation in Education, and found that student achievement did not vary by teacher status. This research has policy implications for issues ranging from certification to tenure.
Professor Richard Murnane, also from Harvard, identified a challenge facing the Boston Public Schools and other urban districts, under pressure to improve student achievement: how to use data to improve instruction.

Murnane and his colleagues, Kathryn Parker Boudett and Elizabeth City, conducted action research that led to a book, Data Wise, which outlines an eight-step process for school teams to decipher the latent lessons in their data so as to improve instructional practice. This work is advancing via ongoing engagement with practitioners, which has lead to case studies on the real-world applications of Data Wise.

Increasingly, researchers are working to make sure their work is relevant by addressing real problems in ways that are useful  [continues]

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