The purpose of this study was to investigate two research questions concerning: (a) the relationship between the percentage of students within a high school who participated in the Advanced Placement program and the school-wide student achievement of a high school and (b) the relationship between the percentage of students within a high school who successfully performed in the Advanced Placement program and the school-wide student achievement of the high school. It was determined in this study that there was a statistically significant relationship between Advanced Placement (AP) student participation and school-wide student achievement and there was a statistically significant relationship between AP student performance and school-wide student achievement in public high schools in the state of Florida in the 2007-2008 school year. Additionally, information was provided for policymakers and practitioners regarding the impact of Advanced Placement on school-wide achievement and the impact on students outside the AP program. While AP participation and AP performance correlated with school-wide achievement, when the population and data were disaggregated into the most affluent, middle-income, and poorest schools, the results changed. For the poorest schools, there was no relationship between AP participation and school-wide student achievement. In the middle income and most affluent schools, however, there was a statistically significant relationship between AP participation and school-wide student achievement. Additional confirmation that Advanced Placement, as part of the overall curriculum, had a significant impact on school-wide student achievement was provided. Further research is necessary to understand the implications of the AP program on schools of various socioeconomic levels.

Student achievement is the cornerstone of educational intuitions. Having a comprehensive understanding of what factors into having a successful student achievement rate requires the use of previous research and analyzing of historical accounts. The purpose of this study was to determine if there was a difference in student achievement when elementary school size was a factor. The analysis of the results offered beneficial information pertaining to Florida's public schools while providing a stepping stone towards future research. The results of this study and subsequent studies can provide information and guidance to decision makers regarding school size relative to student achievement. The population for this data was obtained from the Florida Department of Education's Florida Schools Indicator Reports. Three elementary schools were selected from each school district in the state of Florida based on its student enrollment. A small school consisted of an enrollment of 1-300 students, a medium school consisted of 301-500 students, and a school was considered large if its enrollment was 600 students or more. From these schools, the 3rd, 4th, and 5th grade Florida Comprehensive Assessment Test (FCAT) mathematics and reading scores were analyzed. Analysis of the data revealed that there was no statistically significant difference found for student achievement in mathematics when school size was a factor. However, there was a statistically significant difference found in student achievement in reading. The significance was found to lie between medium and large schools, with large schools scoring significantly better than medium schools.

Value-added models (VAMs) have become widely used in evaluating teacher accountability. The use of these models for high-stakes decisions making has been very controversial due to lack of consistency in classifying teachers as high performing or low performing. There is an abundance of research on the impact of various student level covariates on teacher value-added scores; however, less is known about the impact of teacher-level and school-level covariates. This study uses hierarchical linear modeling to examine the impact of including teacher characteristics, school characteristics, and student demographics aggregated at the school level on elementary mathematics and reading teacher value-added scores. Data for this study was collected from a large school district in north Texas. This study found that across all VAMs fitted, 32% of mathematics teachers and 37% of reading teachers changed quintile ranking for their value-added score at least once across all VAMs, while 55% and 65% of schools changed their quintile ranking of value-added scores based on mathematics and reading achievement, respectively. The results show that failing to control for aggregated student demographics has a large impact on both teacher level and school level value-added scores. Policymakers and administrators using VAM estimates in high-stakes decision-making should include teacher- and school-level covariates in their VAMs.

In the beginning of 2020, the world was first introduced to the Covid-19 virus. The virus spread from China to all over the globe, causing a global pandemic. Different countries and governments had different strategies in order to stop the spread of the virus. Some countries had a more aggressive strategy with the use of shutdowns and quarantines, and other countries were less aggressive and tried to not make any drastic decisions that would have negative effects on parts of the society. The school during the pandemic went to face many difficult challenges. In most parts of the world schools switched to remote learning on distance. The purpose of this study is to find out how the schools and students were affected by this sudden change in education. To answers this question this study is going to map out and compare how Sweden and Australia acted during the pandemic, and then look over how students’ health, study habits and student achievements were affected by these actions. The method used to find answers to these questions was to use previous studies, research, and publications, In a so called a comparing case-study. The results have shown that the pandemic and remote learning has had negative impact on students learning, health and motivation. Despite the difference in actions between Sweden and Australia there seems to be no obvious difference in how students and school were affected in respective country.

The purpose of this study was to explore the impact of teacher professional development on student achievement measured by scores on curriculum-based assessments, CBAs. The participants in the study included 260 3rd, 4th, and 5th grade math and science teachers. Teacher participation in professional development courses was collected for curriculum, instruction, differentiation, assessment, technology integration, and continuous improvement credit types. Achievement data for 8,454 students was used: 2,883 in 3rd grade, 2,752 in 4th grade, and 2,819 in 5th grade. The dependent variable of student achievement was dichotomized at the median: half of the student participants scored above the median and half of the students scored at and below the median. A series of logistic regression models were fit to the data that included examining all main effects and interaction terms among all variables to determine the best fitting model. The results of this study indicate that for 4th grade science, teacher professional development participation in curriculum, instruction, and differentiation credit strands increased the chances for students to score above the district median on CBAs. The larger number of professional development hours in a variety of credit strands had a negative impact on student achievement in 4th grade science. In 5th grade science, the students whose teacher spent more hours in professional learning for continuous improvement had an increased likelihood of scoring above the district median on CBAs.

The focus of this research was to shed light on factors contributing to global international rankings in mathematics released by the 2011 administration of the Trends in International Mathematics and Science Study. This study focused on factors contributing to the global ranking of international scores in mathematics. Although students in the United States performed below students in the other sample countries (Singapore, Japan, and the Republic of Korea), American students scored within one standard deviation of the top performer, the Republic of Korea. The study also revealed that although other countries had their brightest and most advantaged students participate in the assessment, participating students in the United States were disproportionately disadvantaged to the proportion of United States' citizens. Another contributing factor of student success revealed in this study was the size and form of government and financing of the participating countries. While Singapore, the Republic of Korea, and Japan have education systems governed and financed by national governments, the United States education system is primarily governed and financed by 50 state governments.

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