The purpose of this study was to examine the effect of Scholastic, Incorporated's ReadAbout software system on student achievement in the subject of reading. The study assessed the relationship between the amount of time third and fourth grade students spent utilizing the program and their scale scores on the Texas Assessment of Knowledge and Skills (TAKS) reading test, as reported in student records of third and fourth graders at Comal Independent School District, Texas. Additionally, the study attempted to determine possible differences among students for the variables of gender, primary language of learning, and socio-economic status, as reported in student records of third and fourth graders at Comal Independent School District, Texas. For the purpose of this study, school and student performance analysis included only the nine elementary schools in the Comal Independent School District that served third and fourth grade students during the 2007-2008 school year. The student population under study consisted of a total of 585 third graders and 792 fourth graders (1377 total students). The research findings of this study include the following: 1. There was a statistically significant relationship between the amount of time that both third grade and fourth grade students spent using the ReadAbout software system and their performance on the third and fourth grade TAKS reading tests. 2. No statistically significant relationships were determined for gender or socioeconomic status when the amount of time individuals in each subpopulation spent using ReadAbout and the students' TAKS reading test scale scores were compared. However, in the analysis for primary language of learning, a small group of Spanish-speaking students who used ReadAbout for more than 16.5 hours prior to taking the test outperformed their English-speaking peers in the same usage category, and this difference did prove to be statistically significant.

Destination Math was a program utilized by Xcellence ISD. A determination if usage of the software had a significant positive effect on math performance was needed. In this study, the researcher created a student database that included the usage data from the comprehensive mathematics software program, Destination Math, and the math residual value, an added value statistic that was derived from the math scores of the 2006 Texas Assessment of Knowledge and Skills (TAKS) test. An analysis was performed to determine if time spent using the Destination Math software resulted in differences between student usage level groups in regard to the math residual value (MRV). The researcher also looked at the usage levels of teachers and campuses to determine if there were differences in the MRV for different classifications of usage. Certain student classifications were added as independent variables. Since Destination Math was offered in Spanish, it was theorized that the program might be beneficial to students who were designated as Limited English Proficient (LEP). Therefore, this student classification was included as an independent variable. Because research existed that provided evidence that some software contained a gender bias, the student classification of gender was also included as an independent variable. The population for this study included every student in Xcellence ISD in grades 3-11 who took the math portion of the TAKS test during the week of April 18-21, 2006. Altogether, 3177 students were included in the data analysis for this study. This represented 53% of the tested population. Students with no usage data reported by Destination Math were eliminated from the study. While there are a number of cited studies that document score gains with Destination Math, this researcher did not find that residual math scores were significantly different among teacher or campus usage groups. While there was a significant difference between the student usage groups, High users exhibited negative MRVs. The results of this study are consistent with another large quantitative study that involved Destination Math. This researcher feels that there are an ample number of studies that provide evidence that Destination Math can have a positive effect on student math performance. However, the program should not be purchased with the intent to improve significantly the residual math scores.

The Texas Education Agency’s Social Studies Texas Assessment of Knowledge and Skills results show an achievement gap between males and females for every criteria on every test given since 2003. The most dramatic achievement difference is in the area of “traditional” U.S. History. The Texas results mimic a gender gap reported by College Board Texas AP U.S. history exams and the 2006 National Assessment of Education Programs United States assessment for 8th and 12th graders. Literature and education research outline a contentious background the current social studies and history education programs a, a history of social studies assessment programs, and different theoretical frameworks regarding male and female learning. A Transformative Sequential Mixed Method/Model Design was used for this study. Social Studies TAKS quantitative data collected by the Texas Education Agency formed the basis for an Interactive Qualitative Analysis (IQA) study. The Researcher gathered data from a statewide sampling of social studies supervisors, administrators, teachers and Austin Independent School District social studies students. Findings show perspectives regarding the social studies are different and crucial to effective instruction. Both female and male student focus groups believe the teacher to be in complete control of student learning whereas social studies supervisors, administrators, and teachers find the teacher to be a recipient of the pressures from the statewide assessment, accountability, external influences. Female students are shaped by the influences of their outside life and find the entire subject matter covered by the social studies irrelevant. Male students are more personally involved in the history and social studies subject matter finding it important and interesting. / text

Hierarchical Linear Models were used to analyze data from one Texas school and identify effective and ineffective mathematics teachers using their students’ scores on two consecutive years of the state test (TAKS) over a three-year period. A model was developed which attempted to control for student grade level, as well as whether a class was an honors course. Special attention was paid to requiring statistically significant results. Results were minimal and may lack validity. The barriers to getting better results include missing data, the small sample size of students for an individual teacher, the non-random assignment of teachers to courses, and the extent of variability in the data. Most of these are beyond the control of educators. A better way of measuring student growth could reduce variability and improve the prospects of using a data driven approach to evaluate teachers. / text

Stakeholders of the educational system assume that standardized tests are transparently about the subject content being tested and therefore can be used as a metric to measure achievement in outcome-based educational reform. Both analysis of longitudinal data for the Texas Assessment of Knowledge and Skills (TAKS) exam and agent based computer modeling of its underlying theoretical testing framework have yielded results that indicate the exam only rank orders students on a persistent but uncharacterized latent trait across domains tested as well as across years. Such persistent rank ordering of students is indicative of an instructionally insensitive exam. This is problematic in the current atmosphere of high stakes testing which holds teachers, administrators, and school systems accountable for student achievement. / text

The purpose of this study was to examine teacher Levels of Technology Implementation (LoTi) self-ratings and student Texas Assessment of Knowledge and Skills (TAKS) scores. The study assessed the relationship between LoTi ratings and TAKS scores of 6th, 7th, and 8th grade students as reported in student records at Alamo Heights Independent School District (AHISD), San Antonio, Texas. The study determined the degree to which teacher LoTi self-ratings were a predictor of success on student TAKS exam scores for English Language Arts and Math, as reported in student records at Alamo Heights Independent School District, San Antonio, Texas. Further, the study examined whether teacher self-reported LoTi ratings were a predictor of success on student TAKS exam scores for the variable of socioeconomic status as reported in student records at Alamo Heights Independent School District, San Antonio, Texas. For the purpose of this study, school and student performance analysis was restricted to the Alamo Heights Junior School in the Alamo Heights Independent School District, San Antonio, Texas. The student data in the study derived from approximately 825 6th, 7th, and 8th grade students who took the math TAKS test in 2009 and approximately 946 6th, 7th, and 8th grade students who took the English Language Arts (ELA) TAKS test in 2009. The research findings for this study included: 1. In English Language Arts (ELA), a difference in achievement may be inferred between teacher LoTi levels and ELA TAKS scores. 2. In math, a difference in achievement may be inferred between teacher LoTi levels and math TAKS scores. 3. There was not a statistically significant difference between the teacher LoTi level and student mean scores on ELA TAKS for students in the low SES category. 4. There was not a statistically significant difference between the teacher LoTi level and student mean scores on math TAKS for students in the low SES category.

Federal educational policy, No Child Left Behind Act of 2001, focused attention on America’s education with conspicuous results. One aspect, highly qualified classroom teacher and principal (HQ), was taxing since states established individual accountability structures. The HQ impact and use of data-informed decision-making (DIDM) for Texas elementary science education monitoring by campus administrators, Campus Instruction Leader (CILs), provides crucial relationships to 5th grade students’ learning and achievement. Forty years research determined improved student results when sustained, supported, and focused professional development (PD) for teachers is available. Using mixed methods research, this study applied quantitative and qualitative analysis from two, electronic, on-line surveys: Texas Elementary, Intermediate or Middle School Teacher Survey© and the Texas Elementary Campus Administrator Survey© with results from 22.3% Texas school districts representing 487 elementary campuses surveyed. Participants selected in random, stratified sampling of 5th grade teachers who attended local Texas Regional Collaboratives science professional development (PD) programs between 2003-2008. Survey information compared statistically to campus-level average passing rate scores on the 5th grade science TAKS using Statistical Process Software (SPSS). Written comments from both surveys analyzed with Qualitative Survey Research (NVivo) software. Due to the level of uncertainty of variables within a large statewide study, Mauchly’s Test of Sphericity statistical test used to validate repeated measures factor ANOVAs. Although few individual results were statistically significant, when jointly analyzed, striking constructs were revealed regarding the impact of HQ policy applications and elementary CILs use of data-informed decisions on improving 5th grade students’ achievement and teachers’ PD learning science content. Some constructs included the use of data-warehouse programs; teachers’ applications of DIDM to modify lessons for differentiated science instruction, the numbers of years’ teachers attended science PD, and teachers’ influence on CILs staffing decisions. Yet CILs reported 14% of Texas elementary campuses had limited or no science education programs due to federal policy requirement for reading and mathematics. Three hypothesis components were supported and accepted from research data resulted in two models addressing elementary science, science education PD, and CILs impact for federal policy applications. / text

This study examined reading programs in 68 Texas elementary schools that were identified as successful by their scores on TAAS assessment results in the 1999-2000 school year. These schools’ student populations had a high proportion of culturally diverse and low-SES students. The purposes of this study were: (1) to determine if and how teaching methods and collaboration (intervention/support teams) were used by effective schools to foster reading success in all students; (2) to identify cohesive patterns (clusters) or models in schools’ use of collaboration and teaching methods; (3) to examine these clusters of similar schools and see if the patterns differed based on the school/community demography (urban, suburban, or rural). The study was conducted in 68 schools in 33 school districts that represented various demographic settings from 12 different Education Service Centers across Texas. From these original 332 variables, 26 variables were selected that were of medium frequency and strongly correlated with high TAAS scores over a 4- year period. These 26 variables were used to examine the 68 high-performing Texas elementary schools for clusters. K-means analysis and HCA were both applied to the 26 response variables, using them as complementary techniques to arrive at a five cluster solution. Results from correlations of individual characteristics and from identifying school clusters suggested that school community type could possibly be moderately predictive of student performance on the TAAS/TAKS over time.

The purpose of this study was to investigate special education outcomes in relation to state standardized testing. It specifically sought to determine if a relationship existed between selected data from the Texas Academic Excellence Indicator System (AEIS) comparing district students receiving special education services TAAS scores with selected district demographic, fiscal, and special education data. The population for this study consisted of all 2001-2002 grades 3-8 and 10 public school students with the exception of charter schools, special-purpose statutory districts, and state-administered districts. The reading analysis incorporated data from 896 Texas school districts. The mathematics analysis used data from 914 school districts. Multiple linear hierarchical regression was chosen as the method for statistical analysis. Data was obtained from the Texas Education Agency (TEA) as a special data pull. For both the reading and mathematics analyses, wealth and ethnicity were statistically insignificant although ethnicity individually accounted for a large percentage of the variance for both the reading (20.3%) and mathematics (13.2%) scores as well as producing negative β weights. All other predictor variables produced varying degrees of statistical significance. Community type, socioeconomic status, instructional expenditures per students, and instructional expenditures per student receiving special education services also produced negative β weights. Two variables in this study, enrollment and the percentage of students receiving special education services tested, produced positive β weights, substantial squared structure coefficients, and positive Pearson correlation coefficients. Of these two predictors, the strongest overall positive predictor for students receiving special education services success on the grades 3-8 and 10 reading and mathematics TAAS exams was the percentage of students receiving special education services tested. These percentages produced the largest positive correlations with passing rates (reading r = .283, mathematics r = .219) and the second largest regression coefficients (reading β = .224, mathematics β = .202). They individually accounted for the largest percentage of total criterion variance (reading = 33.0%, mathematics = 22.6%). For this study, these results clearly suggested that the dominant positive predictor of testing success for students receiving special education services was the percentage of students receiving special education services tested. Conversely, socioeconomic status was the dominant negative predictor.

The Texas high school class of 2005 faced a defining test that had no precedent in Texas and little nationally. Social studies testing is a relatively new addition to the world of high stakes testing currently impacting United States high schools. Although other diploma dependent areas of mandated testing have some testing history and, therefore, related paradigms for curriculum and instructional assistance, the area of social studies largely lacks that perspective. Texas Education agency provided specific school grant monies and training for the purpose of preparation for the social studies exams. This quasi-experimental study examines the scores to learn whether or not any statistically significant differences in social studies scores would exist between the schools that participated in the TEKS/Tools Training Program and the schools that did not participate in the TEKS/Tools Training Program. The two primary at-risk groups in Texas, Hispanic and low SES, were analyzed for statistically significant differences in scores. Independent t tests and ANCOVA were used to analyze the score differences between program schools and non-program schools. Results relate to individual school staffing and implementation. The at-risk groups remained flat in score gains whether they were part of the program schools or not. Results relate to differences in learning and teaching for at risk groups. A separate trend analysis was used on the program target school which was the only school with three years of scores to determine improvement from grade 9 to 10 to 11 on the social studies TAKS test scores. Results from the repeated measures analysis indicated a statistically significant linear trend in the program target school's TAKS social studies mean gain scores across the 9th, 10th, and 11th grade levels.