Department of Teaching and Learning

The purpose of this study was to determine if middle school student scientific understanding could be predicted by the variables: standardized 5th grade score in science, standardized 5th grade score in mathematics, standardized 5th grade score in reading, student attitude towards science, socioeconomic status, gender, and ethnicity. The areas of the comprehensive literature review were trends in science learning and teaching, research in the K-12 science education arena, what factors have influenced K-12 science education, scientific understanding, what research has been done on K-12 scientific understanding, and what factors have influenced science understanding in the K-12 arenas. Based on the results of the literature review, the researcher of this study examined a sample of middle school 8th grade students. An Attitude Towards Science Survey (SATS) Simpson & Oliver (1990) and a Survey of Scientific Understandings (Klapper, DeLucia, & Trent, 1993) were administered to these 116 middle school 8th grade students drawn from a total population of 1109 who attend this middle school in a typical county in Florida during the 2010- 2011 school year. Multiple linear regression analysis was used to test each sub-hypothesis and to provide a model that attempted to predict student scientific understanding. Seven null sub-hypotheses were formed to determine if there were significant relationships between student scientific understanding and the abovementioned variables. The results of the tests of the seven null sub-hypotheses showed that the sub-hypothesis that involved socioeconomic status was rejected, which indicated that the socioeconomic status of a family does influence the level of scientific understanding of a student.

The purpose of this study was to analyze the biology content, instructional strategies, and assessment methods of 100 biological science websites that were appropriate for Grade 12 educational purposes. For the analysis of each website, an instrument, developed from the National Science Education Standards (NSES) for Grade 12 Life Science coupled with criteria derived from the Web-based Inquiry (WBI) for Learning Science instrument (Bodzin, 2005) and other pertinent published educational literature, was utilized. The analysis focused on elucidating the appropriateness of the biology content, instructional strategies, and assessment tools of selected websites for facilitating the biological science education of Grade 12 students. Frequencies of agreement and disagreement of the content of each selected website with criteria included in the data collection instrument were used for alignment determination of the content of each website with the NSES. Chi-square tests were performed by Microsoft Excel to determine the statistical significance of differences of actual and expected 85% frequencies of alignment of the analyzed website parameters with indicators of alignment to NSES. Chi-square tests indicated that at a 0.05 level of significance there was an overall difference between the actual and expected 85% frequencies of alignment of biology content, instructional strategies and assessment methods with website indicators of alignment with the NSES (p < 0.05). Chi-square tests also indicated that there was a significant difference between the actual and expected frequencies of alignment of analyzed categories (biology content, instructional strategies, and assessment methods) of the sampled websites with website indicators of alignment with the NSES (p < 0.05).

Researchers have determined that many factors, including school climate, may be contributing to the lack of academic achievement of many of our students. In an effort to better understand this issue, this study tested for possible relationships between the school climate of multiple schools in Palm Beach County, Florida, and their students' academic achievement. Separate analyses were done at the elementary, middle, and high school levels. For the purpose of this study, academic achievement (criterion variable) was measure by the Florida Comprehensive Assessment Test, Math and Reading sections. School climate (predictor variable) was measured by the school district's yearly climate survey. In order to test the study's hypotheses, a linear multiple regression model using SPSS software was run to measure for any relationship between the criterion and predictor variables at the elementary, middle, and high school levels. The relationships of individual predictors with the criterion were tested with correlations and the model including all seven predictors was tested with multiple regressions.

The purpose of this study was to investigate whether statistically significant differences existed between high school Honors Physics websites and those of Advanced Placement (AP) Physics in terms of web-design, National Science Education Standards (NSES) Physics content, and NSES Science Process standards. The procedure began with the selection of 152 sites comprising two groups with equal sample sizes of 76 for Honors Physics and for Advanced Placement Physics. The websites used in the study were accumulated using the Google[TM] search engine. To find Honors Physics websites, the search words "honors physics high school" were entered as the query into the search engine. To find sites for Advanced Placement Physics, the query, "advanced placement physics high school," was entered into the search engine. The evaluation of each website was performed using an instrument developed by the researcher based on three attributes: Web-design, NSES Physics content, and NSES Science Process standards. A "1" was scored if the website was found to have each attribute, otherwise a "0" was given. This process continued until all 76 websites were evaluated for each of the two types of physics websites, Honors and Advanced Placement. Subsequently the data were processed using Excel functions and the SPSS statistical software program. The mean and standard deviation were computed individually for the three attributes under consideration. Three, 2-tailed, independent samples t tests were performed to compare the two groups of physics websites separately on the basis of Web Design, Physics Content, and Science Process. The results of the study indicated that there was only one statistically significant difference between high school Honors Physics websites and those of AP Physics.

The accountability measures implemented by the states as a result of federal government mandates required by the No Child Left Behind Act (2001 [NCLB]) have created the need for states to develop standardized benchmark assessments as part of the compliance requirements set by the federally mandated act. State and local standardized tests have become an everyday part of public school life. A quantitative study was conducted to assess the correlation of students' scores on the reading portion of the Florida Comprehensive Assessment Test (FCAT) and students' reading percent scale-scores on one Florida county's benchmark reading assessment (CBAT) with students' teacher-assigned grades (TAG) for 10th-grade, English Language Arts courses. The study also assessed the predictive values of the 3 criterion variables and the moderating effects of 6 categorical variables: Race (White, Black, and Hispanic), Socioeconomic status (SES), English Language Learner status (ELL), and Students with Disabilities status (SWD), which contribute to Florida's Adequate Yearly Progress (AYP) ranking of school grading policy. The study found that there was a moderate and positive correlation among the 3 criterion variables and that the combination of students' scores on the reading portions of both the CBAT and the FCAT showed a significant predictive value in predicting students' TAG. The study showed an even higher predictive value of the combination of students' scores on the CBAT and students' TAG in predicting students' scores on the FCAT. The study showed there was a moderating effect of the categorical variable Race on the correlation between students' CBAT reading scores and students' TAG; however, Race did not moderate the correlation between students' scores on FCAT and students' TAG.