The purpose of this study was to determine if agriscience teacher integration of instructional technology was related to student achievement. Knowledge of these correlations will assist teacher educators in offering more appropriate professional development opportunities for agriscience teachers. This information will also assist secondary schools in making decisions regarding technology purchases for agriscience departments. Instructional technology researchers have worked since the 1960s to gain a better understanding of the role that instructional technology plays in student achievement. Many researchers have found that instructional technology influences student learning. In the early 1980s Richard Clark published controversial findings that media has no influence on student learning. These conflicting findings led to the development of this study. A survey was developed to collect information on the level at which teachers integrate technology into their instruction. The instrument was pilot tested, and a reliability measure of .95 was found for the 42 items measuring the technology skills of teachers. Section three of the instrument had a reliability of .93 for the nine items that were used to measure teacher integration of technolo gy. Teachers' demographics, teachers' technology integration skill levels, teachers' administrative use of technology skill levels, and teachers' technology integration levels were collected from a random sample of 150 agriscience teachers in Texas. Student achievement was measured using the Texas Assessment of Academic Skills (TAAS) test. Student data were collected on 10th grade students in classes taught by the 150 teachers selected to participate in the study. The Texas Education Agency provided all TAAS data in a single data file. The primary student variables used in the study to quantify math, reading, and writing achievement were the total number of multiple choice items correct for each of these three subject areas. A low positive correlation was found between student achievement in math and teacher instructional technology integration level (.14). Negligible positive correlations (r < .10) were found between teacher instructional technology integration level and student achievement on the writing portions and reading portions of the TAAS.

This naturalistic study focused on the perceptions of leadership and student performance in science from campus leaders in three purposefully selected secondary campuses of ninth through twelfth grades. Each school had experienced an improvement in student passing rates on the science TAKS test that exceeded the state?s percent improvement in passing rates for the past three years and had a record of improving science TAKS scores for the period of 2003 to 2008 exceeding fifteen percentage points. The qualitative research technique of multi-case studies design was used. Data was collected through semi-structured, in-depth interviews with four campus leaders from each of the selected schools. These campus leaders included campus administrators, science department chairs, and grade-level team leaders. A framework of transformational leadership was utilized in the analysis of the data generated from the interviews. The perception from the campus leaders was that leadership has a positive impact on student success in science. The findings indicated perceptions of leadership from the campus leaders had certain leadership practices in common. These included (a) clear vision and goals from the campus principal, (b) high performance expectations for teachers and students from administrators and science department leaders, (c) encouragement and support from campus administrators and science department leaders to develop new programs to address problem areas, (d) emphasis on collaborative teams, and (e) open door policy from administrators.

The purpose of this study was to determine if agriscience teacher integration of instructional technology was related to student achievement. Knowledge of these correlations will assist teacher educators in offering more appropriate professional development opportunities for agriscience teachers. This information will also assist secondary schools in making decisions regarding technology purchases for agriscience departments. Instructional technology researchers have worked since the 1960s to gain a better understanding of the role that instructional technology plays in student achievement. Many researchers have found that instructional technology influences student learning. In the early 1980s Richard Clark published controversial findings that media has no influence on student learning. These conflicting findings led to the development of this study. A survey was developed to collect information on the level at which teachers integrate technology into their instruction. The instrument was pilot tested, and a reliability measure of .95 was found for the 42 items measuring the technology skills of teachers. Section three of the instrument had a reliability of .93 for the nine items that were used to measure teacher integration of technolo gy. Teachers' demographics, teachers' technology integration skill levels, teachers' administrative use of technology skill levels, and teachers' technology integration levels were collected from a random sample of 150 agriscience teachers in Texas. Student achievement was measured using the Texas Assessment of Academic Skills (TAAS) test. Student data were collected on 10th grade students in classes taught by the 150 teachers selected to participate in the study. The Texas Education Agency provided all TAAS data in a single data file. The primary student variables used in the study to quantify math, reading, and writing achievement were the total number of multiple choice items correct for each of these three subject areas. A low positive correlation was found between student achievement in math and teacher instructional technology integration level (.14). Negligible positive correlations (r < .10) were found between teacher instructional technology integration level and student achievement on the writing portions and reading portions of the TAAS.

This study was conducted to explorer the relationships between teachers’ perceptions of educational data use, their school’s capacity as a learning organization, and the performance of students at their school. This study employed a quantitative research design featuring a Web-based online survey and collected data from a stratified random sample of 112 middle schools and junior high schools nested in nine school districts in Texas. I used the Dimensions of the Learning Organization Questionnaire (Watkins & Marsick, 1993, 1996) to measure the schools’ capacity as a learning organizations and the Survey of Educator Data Use (Wayman, Cho, & Shaw, 2009b) to measure teachers’ educational data use. I also used the student performance data provided by Texas Education Agency. For the data analysis, I employed the statistical techniques of multivariate analysis of covariance (MANCOVA), confirmatory factor analysis (CFA), and structural equation modeling (SEM). I found that educational data use and support did relate to the schools’ organizational learning capacity, and that this dynamic acts as an important factor in enhancing campus performance. This finding gives a clear indication that data use and support has an indirect effect on campus performance, and that this effect is mediated by organizational learning. This research is significant in that it reveals that organizational learning worked as a crucial mediating variable in enhancing student achievement through effective use of data. This finding can give meaningful direction to the pursuit of school improvement through data use in school sites, a practice that began as simple top-down policy implementation. / text

The academic achievement gap is one of the most important areas of inquiry in education today. Racial-ethnic disparities in achievement continue to be persistent at every level—including post-secondary education. Research suggests African American males are particularly likely to disidentify with academics, resulting in a lack of a significant relation between academic self-concept and academic outcomes. Research has found a relationship between racial-ethnic messages that parents give to their children and academic achievement. Further, the student’s gender may impact the types of parental messages given. Multiple regression statistical analysis will be used to determine if the relation between academic self-concept and GPA is moderated by parental racial-ethnic socialization, teacher mistrust, and gender. / text

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The No Child Left Behind Act recognizes the importance of quality teachers in improving student achievement in that it mandates that all students have to be taught by “a highly qualified teacher”. The increasing demand for highly qualified teachers has led to a shortage of qualified teachers. In the United States, however, an uneven distribution of high quality teachers exists. A closer look at urban areas reveals that the problem is more severe in those localities than the national average. In order to address the teacher shortage problem in urban areas, more than 40 states initiated an alternative certification route for candidates who hold a bachelor’s degree (Darling-Hammond, 2000; Heilig, Cole, & Springel, 2011), although teachers’ certification or licensing status play an important role in differentiating teacher quality. The purpose of this study was to examine how high quality teachers are distributed across a large, urban district in Texas according to student’s characteristics, school characteristics and student achievement. In addition, more importantly, this study explored how teacher’s quality influences student achievement and, more specifically, on achievement of students with limited English proficiency (LEP). Due to the differences of characteristics in student characteristics and a school system, elementary schools and middle schools were separated in the analyses. In order to examine which students were allocated to high quality teachers and to determine the effect of teacher quality on students’ achievement in an urban district, Southeast Independent School District (SISD), which is a major urban district in Texas with more than 200,000 students, was chosen. As the largest public school system in Texas, SISD has large shares of minority and low-income students. Student data utilized in this analysis came from the Public Education Information Management System (PEIMS), which is data collection and reporting system produced by the Texas Education Agency (TEA) for the public schools of Texas. SISD provided individual level teacher’s data, students’ data, and a matching file so that teacher’s and their students’ data could be linked. All data that SISD provided are protected by using masked identification. To address the research questions, the study involved three statistical approaches – descriptive analysis, Analysis of variance (ANOVA) and three-level hierarchical linear models (HLM). Results from ANOVA indicated unequal distribution of high quality teachers across an urban school district. Economically disadvantaged students, minority students, and students with limited English proficiency were more likely to be allocated to alternatively certified teachers. It implies that students with economically and socially disadvantaged backgrounds lose a chance to have fully-certified or highly qualified teachers. The test scores of students who had fully-certified teachers were higher than the test scores of under-certified teachers’ or alternatively-certified teachers’ students. Campus accountability ratings were also significantly lower for schools that had more Teach for America (TFA) teachers than schools that had more fully-certified teachers. There were also clear distinctions among teacher’s qualifications, student characteristics, and school conditions between elementary schools and middle schools. There were more alternative certified teachers and less fully-certified teachers in middle schools. Middle schools served a higher percentage of students that are economically disadvantaged, at-risk of dropping out, were LEP, and Hispanic. The average campus accountability rating was also lower in middle schools than elementary schools. Overall, school conditions in middle schools were more inferior than in elementary schools among urban schools in Texas. In order to explain the effect of teacher quality and school condition besides student’s characteristics on student performance, a multilevel analysis was necessary to explain each variance of students, teachers, and schools. Through multilevel analyses (or three-level hierarchical linear modeling (HLM)), I confirmed that student background or ability was the strongest predictor of student achievement as many previous studies have found. The results showed that student achievement significantly differed by students’ background or ability even when they have the same reading teachers. However, HLM results also showed that teacher’s and school’s effects on student achievement were not negligible based on their proportions of variances. It implied that student achievement could be differentiated by teacher’s quality or school’s conditions. Among variables regarding teacher qualifications, the fully-certified teacher variable was a solely significant and positive factor of student achievement in middle schools. That is, students who had fully-certified teachers were more likely to achieve higher test scores than those who had under-certified and alternatively certified teachers after controlling all variables. However, in elementary schools that had 95 percent of fully-certified teachers did not show the significant differences of student achievement by teacher’s qualifications. The years of teaching experience and teacher educational attainment was not significant factors to explain student performance. Among school-level predictors, campus accountability ranking was a positively significant factor to predict student achievement in both elementary schools and middle schools. The percentage of economically disadvantaged students in campus was negatively associated with student achievement in middle schools. Since the study focused on reading achievement, the effect of teacher’s quality on the achievement of LEP students was particularly concerning. To address research questions, an interaction effect between teacher certification status and the achievement of LEP students was added on the three-level model. Results from the analysis showed that after accounting all variables LEP students who had fully-certified teachers achieved 0.1 scores higher on the TAKS reading test in the middle schools. Considering that LEP students typically achieved lower than their peers, the results implied that fully-certified teachers mitigate the effect of LEP on TAKS reading. The finding showed a positive effect of fully-certified teachers for students in need and corresponded with previous studies that high quality teachers played a more important role for socially and economically disadvantaged students. To sum up, this study found that teacher quality is a significant factor to predict student achievement, yet highly qualified teachers are unequally distributed across an urban school district. Socially and economically disadvantaged students were less likely to be taught by fully-certified teachers and were more likely to be taught by alternatively certified teachers. Furthermore, their achievement was significantly lower than their peers who were taught by highly qualified teachers. These aspects were more noticeable in middle schools. / text

Abstract The trend of the last 40 years to build fewer, but larger high schools has resulted in dollar savings to taxpayers, but at the cost of higher rates of absenteeism, weaker academic environments, and poorer student engagement in learning. External pressures in the way of educational reforms such as the federally mandated No Child Left Behind Act (NCLB) have also had a negative impact on some large schools in urban school districts. Why is the United States undergoing such a broad national reform in education? The United States has a long history of educational reform. With every new generation comes a call for educational reform. Once education became compulsory in Texas in 1915 (Judd, 1918), so did calls to change it. Promises of changes to NCLB in the last year suggest that now we have left the “No Child Left Behind” reform movement (Duncan, 2009) and are moving toward a more culturally-centered approach to education where we acknowledge that societal problems affect the ability of students to get a quality education, we are able to provide constructive alternatives beyond the non-productive mantra that “if we just had better teachers and administrators, Johnny could learn.” Arne Duncan (2009a), United States Secretary of Education, when interviewed on the television show The Colbert Report, said, “When schools are really the centers of the neighborhood and the heart of the community, our students are going to do very, very well.” Indeed. Creating schools-within-schools (SWS) can serve to create neighborhoods – academic neighborhoods – that can serve students as the center of their educational community. The current national reform movement under President Obama as expressed by his Secretary of Education, Arne Duncan, (2009b) requires states seeking funds to implement four core-interconnected reforms: • to reverse the pervasive dumbing-down of academic standards and assessments by states. Race to the top winners need to work toward adopting common, internationally benchmarked K-12 standards that prepare students for success in college and careers, • to close the data gap, which now handcuffs districts from tracking growth in student learning and improving classroom instruction, states will need to monitor advances in student achievement and identify effective instructional practices, • to boost the quality of teachers and principals, especially in high-poverty schools and hard-to-staff subjects, states and districts should be able to identify effective teachers and principals and have strategies for rewarding and retaining more top-notch teachers and improving or replacing ones who are not up to the job, and finally, • to turn around the lowest-performing schools, states and districts must be ready to institute far-reaching reforms, from replacing staff and leadership to changing the school culture (p. 2). While this may seem to be more of the finger pointing found in NCLB, and does not seem to coincide with Duncan’s previously cited comments, that “schools are really the centers of the neighborhood and the heart of the community,” it does embrace the need for “far-reaching reforms.” SWS\SLC can be one of those reforms. This study explores critically and carefully the extent to which a smaller learning community within a large urban high school affected student academic achievement, attendance, graduation, and dropout rates as well as student readiness for careers and post-secondary education. This study uses a qualitative case study methodology to describe an experiment in which the researcher, rather than creating the treatment, examines the effects of a naturally occurring treatment after that treatment has taken place (Lord, 1973). While a Smaller Learning Community (SLC) in and of itself is not a panacea for student improvement, SLCs may create conditions for improved student performance. Cotton (2004) reports, that among other benefits, students achieve at higher levels than do students in larger schools on both standardized achievement tests and other measures. The results of this study suggest that SLCs can provide an improved learning environment students have better relationships with teachers, and teachers with administration and parents. Because of limitations inherent in the data base, however t his study is inconclusive in its findings regarding SLC effectiveness with regards to enhanced or diminished performance of students academically. While TAKS test scores were not markedly improved in comparison to the state average and a comparable group of high schools, college readiness indicators improved significantly. This suggests that other variables are at work in this research site and should be explored. Due to the aforementioned data issues, the reader should avoid drawing conclusions from the results that may reflect poorly on Texas High School’s administrators, teachers, and students. A number of contextual and methodological limitations outlined in the study may have restricted the researcher’s ability to investigate sufficiently the impact from SLC implementation on these performance indicators. The researcher provides recommendations for further evaluation of SLC implementation in light of these limitations. / text

The current study evaluated a multiple-membership growth curve model that can be used to model growth in student achievement, in the presence of student mobility. The purpose of the study was to investigate the impact of ignoring multiple school membership when modeling student achievement across time. Part one of the study consisted of an analysis of real longitudinal student achievement data. This real data analysis compared parameter estimates, standard error estimates, and model-fit statistics obtained from a growth curve model that ignores multiple membership, to those obtained from a growth model that accounts for multiple school membership via the MMREM approach. Part two of the study consisted of a simulation study designed to determine the impact of ignoring multiple membership and the accuracy of parameter estimates obtained under the two modeling approaches, under a series of data conditions. The goal of the study was to assess the importance of incorporating a more flexible MMREM approach when modeling students’ academic achievement across time. Overall, the results of the current study indicated that the Cross-classified multiple membership growth curve model (CCMM-GCM) may provide more accurate parameter estimates than competing approaches for a number of data conditions. Both modeling approaches, however, yielded substantially biased estimates of parameters for some experimental conditions. Overall, results demonstrate that incorporating student mobility into achievement growth modeling can result in more accurate estimates of schools effects. / text

This dissertation consists of three articles that explore the effect of professional development (PD) on teachers‘ understanding and implementation of Science, Technology, Engineering, and Mathematics (STEM) project based learning (PBL), and the effect of STEM PBL on students‘ mathematics achievement. Teachers in three high schools participated in the research activities. They attended sustained PDs provided by one STEM center based in a Southwestern university, and were required to implement STEM PBLs once every six-weeks for three years (2008 through 2010). The first article employed a mixed-method case study to explore the relation between the quality of the teachers‘ in-class STEM PBL implementations, understanding of the PBL in STEM education, and attendance in the STEM PBL activities. Quantitative findings indicate that attendance in the PD activities was significantly correlated with the quality of the in-class PBL implementation in 2010, yet not in 2011. Moreover, qualitative findings show that the teachers viewed the STEM PBL pedagogy as a means to promote student interest in mathematics, cultivate the interdisciplinary research culture in K-12 classrooms, and help improve students‘ content understanding. The second article investigated the effect of STEM PBL, especially on Hispanic and at-risk students‘ mathematics achievement. The participants were 528 students in the three STEM PBL high schools and 2,688 students in non-STEM PBL schools in the same region. Latent growth modeling was used to analyze the repeated measures across years. STEM PBL instruction positively influenced Hispanic students‘ achievement in mathematics, but not at-risk students. The third study investigated whether participating in STEM PBL activities affected students who had varied performance levels, and to what extent students‘ individual factors influenced their mathematics achievement. The participants were 836 high school students in the three schools. The findings from the hierarchical linear modeling showed that low performing students showed statistically significantly higher growth rates on mathematics scores than high and middle performing students, over the three years. In addition, student‘s ethnicity and economic status were good predictors of academic achievement. This dissertation is the first to reveal the effect of STEM PBL on student academic achievement relating to inservice teacher PD by employing the sophisticated research methodology.