Message from SERP Executive Director Suzanne Donovan:
When teachers become skilled at managing the classroom and in providing motivating activities for students, we believe that they should then aspire to reach the next level: diagnostic teaching. In diagnostic teaching, we focus thoughtfully on what students do and do not understand and then adjust accordingly.
We found that mathematics lessons from our texts often were not designed so that the thinking of the students could be seen and analyzed in real time. Therefore, we developed a system to use two class periods to work through an important problem. We used problems that a) could be used to shed light on a math topic we felt was important for the grade level and b) could be solved in a variety of ways ranging from an approach that utilized below grade level mathematics (such as repeated addition) all the way up to grade level mathematics (or higher).
SERP Design Center
Lawarence Hall of Science
Austin Community College
Harvey Mudd College
Phil Daro describes the origination of this work in San Francisco.
Alan Schoenfeld describes students as constructors of knowledge and teachers as diagnosers.
SERP Design Center Staff:
Norm Mattox, San Francisco Unified School District (SERP Teacher-in-residence)
Cathy Alderson, Pacifica Union School District (CA)
Jeanne D'Arcy, San Francisco Unified School District (CA)
Jennifer Gallardo-Payne, Austin Independent School District (TX)
Ivan Hernandez, El Paso Independent School District (TX)
Patrick Jackson, Pacifica Union School District
Steve Kesel, Pacifica Union School District
Tom Reich, Hayward Unified School District (CA)
Seva Steel, Pacifica Union School District
John Violette, San Francisco Unified School District
Jackie Walley, Pacifica Union School District
Strategic Education Research Partnership
1100 Connecticut Ave NW #1310 • Washington, DC 20036
serpinstitute.org • (202) 223-8555 • email@example.com
Project funding provided by The William and Flora Hewlett Foundation and S.D. Bechtel Jr. Foundation
Poster Problems by SERP is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.