Student science achievement in middle schools as related to teachers' perceptions about student and school variables, 2007
Rao, Gyanlakshmi Victoria
2000-2009
It was proposed that students scores on the Georgia Criterion Referenced Competency Test (GCRCT) in science in the middle grades might be explained by such variables as science teachers perceptions about: students performances in math, reading and science; students aptitude, early science socialization, responsiveness to innovative and differentiated instruction, as well as the curriculum relevance to the states standards. Teacher expectation, parental involvement, administrative support, faculty development and selected demographic variables were also considered as explanatory variables. A questionnaire was administered to 62 teachers in 19 Atlanta Metropolitan Middle Schools. Students performance on the GCRCT was attached to teachers files in the respective schools. The results of the Pearson correlation analyses showed a significant relationship between students GCRCT science scores (meet and exceed performance) and each of the following variables: students GCRCT scores in math (r = .901) and reading (r = .871), students performances on class assignments in math (r = .268), reading (.522) and science (.424), teacher perceptions about students science aptitude (.417), early socialization (r= .308), and responsiveness to innovative teaching(.267). The results of factor analysis indicated that student performances on class assignments in reading, math and science were loaded with student science aptitude and parental education in Factor 1. Student performances on the GCRCT in science, math and reading were loaded inversely with class size in Factor 2. Parental involvement, teacher experience, student science aspiration and specialist science teachers were loaded in Factor 3. Teacher grade level, teacher qualifications, and student responsiveness to teaching was loaded inversely with class free lunch in Factor 4. Staff development, administrators science supervision and curriculum alignment were loaded in Factor 5. Teacher gender and teacher expectation were loaded in Factor 6. The results of regression analyses indicated that: when student science scores on the GCRCT was the dependent variable, student math performance on the GCRCT was the only significant predictor, when student math score on the GCRCT was the dependent variable, the predictors were: student science scores on the GCRCT, students responsiveness to innovative teaching and class size in that order.
text
application/pdf
2007-05-01
dissertation
Doctor of Education (EdD)
Clark Atlanta University
Educational Leadership
Persaud, Ganga
Georgia--Atlanta
http://hdl.handle.net/20.500.12322/cau.td:2007_rao_gyanlakshmi_v