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Download full textKlecker, Beverly M.; Klecker, Richard L. – Online Submission, 2015
This study examined equity through the differences average scale scores on the NAEP 2015 12th-grade mathematics test by parents' socioeconomic status (SES) and students' use of graphing calculators in the classroom and while taking the NAEP 2015 assessment. Data were national public composite mathematics 12-grade 2015 NAEP assessment scores. The…
Descriptors: Mathematics Instruction, Graphing Calculators, National Competency Tests, Scores
Buchanan, Saneik – Online Submission, 2015
The purpose of this study is to determine if incentive programs like Renaissance impact high school students and faculty. Incentives can go a long way for students in schools. At Lehigh Senior High School (LSHS), for example, students were introduced to the Renaissance Program this school year, by receiving goodies. Coupons at Dairy Queen,…
Descriptors: High School Students, Secondary School Teachers, Academic Achievement, Incentives
Villavicencio, Adriana; Bhattacharya, Dyuti; Guidry, Brandon – Online Submission, 2013
Increasingly, school districts are recognizing that high school graduation rates may not be the ultimate measure of success, as evidence accumulates that students who obtain a college degree do markedly better than students who only graduate from high school. In New York City, while graduation rates have increased dramatically over the last…
Descriptors: College Readiness, Outcomes of Education, Student Attitudes, Males
Brunner, Josie – Online Submission, 2011
Ninth-grade predictors of dropout risk among Austin Independent School District's English language learner students included the following: having an attendance rate below 90%, being 16 years or older, earning less than 5 course credits, attending a Title I campus and scoring beginning or intermediate on the state's English proficiency assessment…
Descriptors: Language Tests, At Risk Students, Dropouts, Predictor Variables
