Thesis (Ph. D.)--Ohio State University, 2003. / Title from first page of PDF file. Document formatted into pages; contains xi, 191 p.; also includes graphics. Includes bibliographical references (p. 136-140).

Thesis (Ph. D.)--Oregon State University, 2008. / Printout. Includes bibliographical references. Also available on the World Wide Web.

One of the earliest indications that a student may be interested in STEM paths is the students’ own self-efficacy for science as well as how they may see themselves in a STEM career as part of their science self-identity (Schlegel et al., 2019). Currently, there is a need to contribute to research that can assist agencies such as the National Science Foundation (NSF), Department of Education and the National Academy of Sciences in advising the nation, including high schools and postsecondary institutions on ways to increase the enrollment of students in STEM-related careers. This study examined the extent to which science self-efficacy and science identity are related to postsecondary STEM degree selection, with special attention to how factors like race, gender, SES status and urbanicity influence science self-efficacy and science identity and how they may be predicative of postsecondary STEM degree selection. Correlation analysis was conducted to quantify the relationship between science identity and STEM degree selection, as well as between science self-efficacy and STEM degree selection. Correlation analysis by subgroup was conducted to examine differences in science identity and science self-efficacy between students based on the demographic characteristics. And binary logistic regression was conducted using the inputs of science identity, science self-efficacy, and demographic characteristics as variants to estimate STEM degree selection. Results of this study suggests that science identity and science self-efficacy are positively correlated with a student selecting a STEM degree. Relationships between science identity and self-efficacy with STEM degree selection among the demographic characteristics was also positively correlated. Black/African Americans and students from the lowest SES both are less likely to select a degree in STEM, while all other demographics show a positive predictive pattern. This work can be used to guide science education policy at the local, state, and national levels, and to direct science education programming in formal and informal settings including those at the high school level in ways to better prepare and encourage students into STEM careers.

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Given the concentration of economic growth and power in science fields and the current levels of racial stratification in schooling, this study examined (1) the effects of race on students’ connectedness to science and career aspirations, (2) the extent to which these effects were moderated by school racial composition and racialized tracking, and (3) the differences in modeling effects using separate variables for race and gender (i.e., White, Black, Hispanic, female) versus race/gender (e.g., White female, Black male, etc.). Using the lens of racial formation theory, this study situated access to science knowledge as a racial project, conferring and denying access to resources along racial lines. Reviews of the literature on science self-efficacy, identity, engagement, and career aspirations revealed an under-emphasis on school institutional factors, such as racial composition and racialized tracking (which are important in sociological literature), as shaping student outcomes. The study analyzed data from the nationally representative High School Longitudinal Study that surveyed students in 2009 during their freshman year in high school and again in 2012 during most students’ junior year (n = 6,998). Affective ratings (in self-efficacy, identity, engagement) and career aspirations for students measured in 2012 were examined as dependent variables and a variable for racialized tracking was estimated given schools’ placement of students in advanced science coursework in 2012. Although school racial composition was not found to moderate race on outcome effects, primary analyses demonstrated that the presence of racialized tracking in the students’ schools did moderate these effects. Overall these results suggested that the student subgroups most often at a disadvantage compared to White students for the science outcomes studied were Hispanic males and females; Black students’ ratings and aspirations were largely on par or exceeded those of their White counterparts. In addition, results indicated that racialized tracking served to exacerbate gaps for Hispanic students and may also diminish career aspirations for Black students. Finally, while examining effects by race/gender did provide some additional insight and nuance in the interpretation of these results, there were clear instances where these more detailed analyses were not needed or may have obscured results that were clearer when aggregated by race. Given these results, implications for policy, practice, and future research are discussed. / Urban Education

This study examines the effect of a technology-based instructional tool `Geniverse' on the content knowledge gains, Science Self-Efficacy, Technology Self-Efficacy, and Career Goal Aspirations among 283 high school learners. The study was conducted in four urban high schools, two of which have achieved Adequate Yearly Progress (AYP) and two have not. Students in both types of schools were taught genetics either through Geniverse, a virtual learning environment or Dragon genetics, a paper-pencil activity embedded in traditional instructional method. Results indicated that students in all schools increased their knowledge of genetics using either type of instructional approach. Students who were taught using Geniverse demonstrated an advantage for genetics knowledge although the effect was small. These increases were more pronounced in the schools that had been meeting the AYP goal. The other significant effect for Geniverse was that students in the technology-enhanced classrooms increased in science Self-Efficacy while students in the non-technology enhanced classrooms decreased. In addition, students from Non-AYP schools showed an improvement in Science and Technology Self-Efficacy; however the effects were small. The implications of these results for the future use of technology-enriched classrooms were discussed. / CITE/Mathematics and Science Education