Read Michael Strong's Book
The Highly Qualified Teacher

The Highly Qualified Teacher: What Is Teacher Quality and How Do We Measure It?“Michael Strong’s encyclopedic compilation of teacher and teaching quality research is a must-read for practitioners as well as policymakers and those who inform them. Isn’t it time that data, not just ideology, pave the way for identifying, preparing, and rewarding highly qualified teachers?

~Barnett Berry, Founder and President of the Center for Teaching Quality, author Teaching 2030

 

Papers, Presentations, and News

Do We Know a Successful Teacher When We See One? by Strong, Gargani, and Hacifazlioğlu, just published in the Journal of Teacher Education.

Strong and Gargani present at the American Evaluation Association 2011 Conference in Anaheim, California. Learn more.

Strong presents at the 3rd International Conference on Teaching and Learning in Penang, Malaysia. Learn more.

Researchers in the UK replicating RATE experiments.

What is RATE?

RATE stands for Rapid Assessment of Teacher Effectiveness. It is a simple observation instrument that school administrators, mentors, and teacher educators can use. It predicts which teachers will need more support in order to be highly successful instructors of math. Knowing this allows school administrators to allocate support and resources where it is needed most.

What is the RATE Project?

The RATE Project involves collaboration with researchers around the world who are contributing to the development of RATE. Currently, it includes research efforts in the United States, the United Kingdom, Japan, and Turkey. This website will present the results of these efforts as they become available.

Who is leading the RATE Project?

RATE was conceived by Dr. Michael Strong, a researcher at the University of California Santa Cruz. He is directing the development of RATE with his colleague Dr. John Gargani, President of Gargani + Company, an evaluation consulting firm in Berkeley, California.

What is the research evidence for RATE?

RATE has been pilot tested in studies with randomized experimental designs. They have demonstrated RATE’s ability to predict which teachers would be more or less successful in helping students learn math. These small studies have found that RATE can correctly classify teachers into these “more and less” categories between 75% and 100% of the time. School administers using their intuitive judgments do no better than chance (50%).

How can you help?

Start-up support was provided by the Carnegie Corporation of New York. The completion of our work depends on the collaboration of researchers, the participation of school districts in which RATE can be pilot tested, and the financial support of funding agencies. Contact us to learn more about how you can help.