This easy-to-use guide to evaluating compensatory education programs offers a synthesis and an expansion of handouts, reports, graphs and charts, and communiques related to the authors' work with 50 school districts.
This easy-to-use guide to evaluating compensatory education programs offers a synthesis and an expansion of handouts, reports, graphs and charts, and communiques related to the authors' work with 50 school districts.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
John Hollingsworth is president of DataWORKS Educational Research, a company originally created to use real data to improve student achievement. Although DataWORKS started by analyzing learning outcomes (test scores), it soon refocused towards analyzing learning inputs (classroom instructional practices). DataWORKS now focuses mainly on providing staff development to schools on classroom instruction. John is an active researcher and presenter and has published numerous articles in educational publications. He spends much of his time on the road training teachers. Dr. Silvia Ybarra, Ed.D., began her career in education as a physics and chemistry teacher at Roosevelt High School in Fresno, California. Next, Silvia became principal of Wilson Middle School in Exeter, California, which under her leadership became a prestigious Distinguished School. Silvia was then named assistant superintendent of Coalinga-Huron School District. Her focus progressed from helping one classroom to helping one school to helping an entire district. Silvia is the head researcher at DataWORKS.
Inhaltsangabe
Introduction A Multiple Measure Imperative Testing General Information Testing Reliability, Validity and Fairness How to Combine Multiple Measures Multiple Measures and Special Populations Multiple Measures and Standards Data-Driven School Improvement
Introduction A Multiple Measure Imperative Testing General Information Testing Reliability, Validity and Fairness How to Combine Multiple Measures Multiple Measures and Special Populations Multiple Measures and Standards Data-Driven School Improvement
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