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Philip A. Streifer provides readers with a comprehensive understanding of what data-driven decision making can and cannot tell educators about student achievement and addresses the related issues for leadership, policy development, and accountability.

There is too much testing in American Public Schools that is robbing teachers of valuable instructional time. Some of it is mandatory, but the vast majority is not, and under the control of districts, schools and even teachers to reduce. Testing Too Much? provides a rationale and set of three models to use in cutting back on testing to reclaim valuable instructional time. It also includes a high school case study describing how the themes proposed in the book can be accomplished. Instructional time is a complex subject that is discussed in detail and the underlying research why it is so...

There is too much testing in American Public Schools that is robbing teachers of valuable instructional time. Testing Too Much? provides three models to use in cutting back on non-mandated testing by 25% to help school leaders and teachers find ways to improve their instruction and the educational experiences of their students.