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Eric.ed.gov – Houston Independent School District’s ASPIRE Program: Estimated Effects of Receiving Financial Awards. 2010-11 ASPIRE Program. Research Brief. Volume 1, Issue 2

eric.ed.gov har udgivet: HISD [Houston Independent School District] has had an award program including teachers since 2000-2001. Awards based on individual teacher performance were introduced in 2005-06, and the program evolved into Accelerating Student Progress: Increasing Results and Expectations (ASPIRE) in 2006-07 with the incorporation of value-added methodology. This evaluation focuses on the 2010-11 year of ASPIRE, for which HISD paid out over $35 million. Award programs generally aim to increase student achievement by rewarding educators financially. HISD additionally designed ASPIRE to encourage teacher cooperation, align with the district’s other school-improvement initiatives, use value-added data to reward teachers reliably and consistently, include core teachers at all grade levels, and address alignment of curriculum to tests on which awards are based. HISD contracts with Dr. William Sanders’ Education Value-Added Assessment System… Continue Reading

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tandfonline.com – Value-Added and Student Growth Percentile Models: What Drives Differences in Estimated Classroom Effects?

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: ABSTRACT Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. ABSTRACT This study shows value-added models (VAM) and student growth percentile (SGP) models fundamentally disagree regarding estimated teacher effectiveness when the classroom distribution of test scores conditional on prior achievement is skewed (i.e., when a teacher serves a disproportionate number of high- or low-growth students). While conceptually similar, the two models differ in estimation method which can lead to sizable differences in estimated teacher effects. Moreover, the magnitude of conditional skewness needed to drive VAM and SGP models apart… Continue Reading