In spite of substantial investments in science, technology, engineering, and mathematics (STEM) education, low enrollment and high attrition rate among students in these fields remain an unmitigated challenge for higher education institutions. In particular, underrepresentation of women and minority students with STEM-related college degrees replicates itself in the makeup of the workforce, adding another layer to the challenge. While most studies examine the relationship between student characteristics and their outcomes, in this study, I take a new approach to understand academic pathways as a dynamic process of student curricular experiences that influence his/her decision about subsequent course-takings and major field of the study. I leverage data mining techniques to examine the processes leading to degree completion in STEM fields. Specifically, I apply Sequential Pattern Mining and Sequential Clustering to student transcript data from a four-year university to identify frequent academic major trajectories and also the most frequent course-taking patterns in STEM fields. I also investigate whether there are any significant differences between male and female students’ academic major and course-taking patterns in these fields. The findings suggest that non-STEM majoring paths are the most frequent academic pattern among students, followed by life science trajectories. Engineering and other hard science trajectories are much less frequent. The frequency of all STEM trajectories, however, declines over time as students switch to non-STEM majors. The switching rate from non-STEM to STEM fields overtime is, however, much lower. I also find that male and female students follow different academic pathways, and these gender-based differences are even more significant within STEM fields. Students’ course-taking patterns also suggest that taking engineering and computer science courses is predominantly a male course-taking behavior, while females are more likely to pursue academic pathways in life science. I also find that STEM introductory courses - particularly Calculus I, Calculus II and Chemistry I – are gateway courses, that serve as potential barriers to pursuing degrees in STEM-related fields for a large number of students who showed an initial interest in STEM courses. Female students were more likely to switch to non-STEM fields after taking these courses, while male students were more likely to drop out of college overall. In addition to the study’s findings on students’ academic pathways toward attaining a college degree in a STEM-related field, this study also shows how data mining techniques that leverage data about the sequence of courses students take can be used by higher education leaders and researchers to better understand students’ academic progress and explore how students navigate and interact with college curriculum. In particular, this study demonstrates how these analytic approaches might be used to design and structure more effective course taking pathways and develop interventions to improve student retention in STEM fields.

This study uses data from the National Center of Education Statistics (NCES) High School Longitudinal Study of 2009 (HSLS:09). Parent responses to the Parent Involvement survey, given as part of the NCES study were considered, along with their child's socio-economic status and self-reported level of mathematics course enrollment during their 9th grade year of high school The purpose of this study is to identify parent behaviors that result in their child enrolling in upper level mathematics coursework in high school, regardless of race or ethnicity. Seven 2-factor ANOVA tests were conducted to determine interaction effects between types of parent behaviors and level of 9th grade mathematics course enrollment. The interaction effect between passive parental connoisseurship and socio-economic status was found to be significant. The main effect of socio-economic status, as well as school choice, direct parental connoisseurship, indirect parental connoisseurship, and passive indirect parental connoisseurship were also found to be significant. As expected the main effect of a student's socio-economic status was also significant, in terms of level of 9th grade mathematics course enrollment. The findings from this study suggest that when students from lower socio-economic background are grouped homogenously in school related setting and out of school experiences, the level of mathematics course enrollment is lower than their middle and upper class counterparts.

This study explored the factors that influence public high school students' advanced math course-taking. The factors investigated were parental involvement, peers' educational aspirations, students' own educational aspirations, and math self-concept. These factors were further examined for students in different settings as defined by school demographic variables of urbanicity, minority concentration, and poverty concentration. The study analyzed longitudinal data from the National Education Longitudinal Study of 1988 (NELS: 88), using structural equation modeling. Results indicated that parental involvement was much more important than peer influence for students' educational aspirations, and in turn, for their advanced level mathematics course-taking. Parental involvement had a larger effect for students in high-minority, high-poverty urban schools, who, on the average, had taken the smallest number of advanced mathematics courses, compared to students in other settings. Results from the study indicated that African-American students' math self-concepts were not affected by their previous math achievement, suggesting the lack of feedback about their mathematics performance. Recommendations based on the findings included improving parental involvement for all students, especially for students in high-minority, high-poverty urban schools, and providing more feedback to African-American students about their level of performance in mathematics and its consequences in terms of advanced math course-taking. / Ph. D.

The objective of this study is to examine the impact of students accessing Algebra 1 in the 8th grade on their science course-taking patterns in high school in a large district in the Mid Atlantic of the United States. This is an important question because many studies have shown that Algebra 1 is a "gatekeeper" course (Adelman, 1999, 2006) but there has not been much research around the impact of who has taken Algebra 1 by 8th grade and what science courses they took as a result of having access to that particular course (Xin Ma, 2009). The data will be supplied by the school district of the last two cohorts of graduating seniors who were in the district from the seventh grade on, so the analysis can be conducted on those who were subject to the same opportunities and policies. The demographic information that will be requested are: Free/Reduced Meal students (FRMS) as a proxy for socio-economic status (SES), gender, race, English as a Second Language (ESOL) level, Special Education (SPED), what grade the students took Algebra, and the science classes they took while they were in high school. The research questions will be analyzed using JMP, a statistics program supplied by Virginia Tech to see if there are any significant differences in which groups of students took Algebra 1 by 8th grade and what kinds of science courses they took. The major findings were that more White and Asian students, and higher SES students accessed Algebra 1 by 8th grade and were enrolled in more rigorous science classes in their high school career than their Black, Hispanic, low SES, Special Education or English Language peers. The results of this study could inform large school districts about the impact of Algebra 1 by 8th grade on students' science course-taking patterns and promote conversations about their policies they create about access to critical courses. / Doctor of Education / The objective of this study is to examine the impact of students accessing Algebra 1 in the 8th grade on their science course-taking patterns in high school in a large district in the Mid Atlantic of the United States. This is an important question because many studies have shown that Algebra 1 is a "gatekeeper" course (Adelman, 1999, 2006) but there has not been much research around the impact of who has taken Algebra 1 by 8th grade and what science courses they took as a result of having access to that particular course (Xin Ma, 2009). The major findings were that more White and Asian students, and higher SES students accessed Algebra 1 by 8th grade and were also enrolled in more rigorous science classes in their high school career than their Black, Hispanic, low SES, Special Education or English Language peers. The results of this study could inform large school districts about the impact of Algebra 1 by 8th grade on students' science course-taking patterns and promote conversations about their policies they create about access to critical courses. The research could be used by school leaders as context for when they examine the participation of students in their upper level science classes. It could also be used by school counselors to better communicate with families about the importance of mathematics preparation and readiness and the impact of those on other college track courses.

According to Venezia, Kirst, and Antonio (2003) and Barth’s 2002 Thinking K16 Ticket to Nowhere report, the disconnect between K-12 and postsecondary education was a contributing factor to high attrition rates. Since mathematics emerged as a primary concern for college readiness, Barth (2002) called for improving student transitions from K-12 to postsecondary institutions through the use of state or local data. The purpose of the present study was to analyze mathematics course-taking patterns of secondary students in a local context and to evaluate high school characteristics in order to explore their relationships with Associate degree attainment or continuous enrollment at an urban community college. Also, this study extended a national study conducted by Clifford Adelman (The Toolbox Revisited, 2006) as it specifically focused on community college students that were not included his study. Furthermore, this study used the theoretical framework that human capital, social capital, and cultural capital influence habitus - an individual’s or a group’s learned inclination to behave within the parameters of the imposed prevailing culture and norms. Specifically, the school embedded culture as it relates to tracking worked as a reproduction tool of ultimate benefit for the privileged group (Oakes, 1994). Using multilevel analysis, this ex post facto study examined non-causal relationships between math course-taking patterns and college persistence of public high school graduates who enrolled at the local community college for up to 6 years. One school-level variable (percent of racial/ethnic minorities) and 7 student-level variables (community college math proportion, remedial math attempts, race, gender, first-year credits earned, socioeconomic status, and summer credits earned) emerged as predictors for college persistence. Study results indicated that students who enter higher education at the community college may have had lower opportunities to learn and therefore needed higher levels of remediation, which was shown to detract students from degree completion. Community college leaders are called to partner with local high schools with high percentages of racial/ethnic minorities to design academic programs aimed at improving the academic preparation of high school students in mathematics and promote student engagement during the first year and summers of college.

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