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Download full textAutenrieth, Maximilian; Levine, Richard A.; Fan, Juanjuan; Guarcello, Maureen A. – Journal of Educational Data Mining, 2021
Propensity score methods account for selection bias in observational studies. However, the consistency of the propensity score estimators strongly depends on a correct specification of the propensity score model. Logistic regression and, with increasing popularity, machine learning tools are used to estimate propensity scores. We introduce a…
Descriptors: Probability, Artificial Intelligence, Educational Research, Statistical Bias
Sartain, Lauren; Stoelinga, Sara Ray; Brown, Eric R. – Consortium on Chicago School Research, 2011
This report summarizes findings from a two-year study of Chicago's Excellence in Teaching Pilot, which was designed to drive instructional improvement by providing teachers with evidence-based feedback on their strengths and weaknesses. The pilot consisted of training and support for principals and teachers, principal observations of teaching…
Descriptors: Evidence, Feedback (Response), Public Schools, Teacher Effectiveness
Maloney, Catherine; Sheehan, Daniel; Rainey, Katie – Texas Center for Educational Research, 2010
In 2007, the Texas Legislature (80th Texas Legislature, Regular Session, 2007) authorized the creation of the Texas Rural Technology (R-Tech) Pilot program, which provides $8 million in funding to support rural districts in implementing technology-based supplemental education programs. In order to be eligible for funding, districts must have…
Descriptors: Online Surveys, Teacher Surveys, Student Surveys, Facilitators (Individuals)
