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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Effects of multicultural science in students and teachers

Rallos, Maria Andrea V. January 2009 (has links) (PDF)
Thesis (M.I.T.)--The Evergreen State College, 2009. / Title from title screen (viewed 7/30/2009). Includes bibliographical references (leaves 120-125).
2

Minorities in science and engineering: Patterns for success.

Rodriguez, Carlos Mario. January 1993 (has links)
The purpose of this study was to explore the bases of minority student persistence in Science and Engineering (S/E). Statistical and qualitative methods were employed. Undergraduate minority student graduation rates in S/E from 1981 to 1990 were analyzed at 1,492 public and private U.S. colleges and universities and a national field study component, which included surveys and interviews, was conducted. The results indicated that effective persistence strategies for African American, Hispanic and Native American students would involve assisting students to clarify goals, facilitating minority students as role models for each other, developing peer tutoring to maintain continuous study skills enhancement, engaging faculty in social interactions with students, and enhancing financial support. Explaining the sources and reasons for success in minority student persistence in S/E could impact national educational policy and collegiate level practices in order to increase retention.
3

The master degree : a critical transition in STEM doctoral education /

Lange, Sheila Edwards. January 2006 (has links)
Thesis (Ph. D.)--University of Washington, 2006. / Vita. Includes bibliographical references (leaves 109-124).
4

Essays on Improving STEM Academic Outcomes and Reducing Gender and Race Graduation Gaps: The Effects of College Grades and Grading Policies

Minaya Lazarte, Veronica Milagros January 2016 (has links)
A college degree is not a homogenous investment across fields of study (Arcidiacono, 2004; Zhang & Thomas, 2005). Even after accounting for selection, STEM degrees pay substantially more than other fields (Altonji et al., 2012) and earnings disparities across majors have increased substantially over time (Altonji et al., 2014). Even though STEM degrees yield greater labor market returns, the number of STEM graduates and professionals remains low and the disparities in STEM attrition are alarming. As a result, STEM education has been elevated as a national priority in the U.S. and considered to be in high demand in the global economy. Yet, there is a lack of consensus on how to boost STEM graduation. My dissertation is motivated by the need to improve the number and composition of STEM graduates and to evaluate policies that can mitigate STEM attrition. In my dissertation I focus on the effect of college grades and grading policies on STEM graduation. College grades are important determinants of course and major choices and research suggests that grades have differing effects for STEM minorities and non-minorities. Moreover, disparities in grades between STEM (low-grading departments) and non-STEM (high-grading departments) due to grade inflation and compression of grades near the top affect sorting into majors, making grades less informative and distorting major choices (Bar et al. 2012). In my first essay, I examine the possible differential effect of college grades on STEM attrition gap by gender and race. Non-grade explanations such as pre-college factors, instructor gender and race and peer effects are also examined as potential determinants of STEM attrition gaps. However, I focus on grades because there is evidence that grades affect sorting into majors, and grades may have differing effects for minorities and non-minorities. This review uncovers evidence supporting the importance of institutional grading policies to shape student’s major and course choices. Despite the fact that institutional grading policies have been studied at some extent, none of these studies have addressed the differential effect of these policies on those who might be more sensitive to grades (i.e., women and racial minorities). In the second essay, I explore what factors explain the gender and race disparities in STEM attrition. This study utilize Florida’s Education Data Warehouse to conduct a reweighted Oaxaca decomposition of racial and gender differences in STEM attrition, with a particular focus on how STEM- intending students respond to college grades in introductory courses. The decomposition results show that women mainly leave STEM by switching into non-STEM fields, particularly due to non-STEM college factors such as grades and credits attempted in lower-division courses. In contrast, racial minorities mainly leave STEM by dropping out of college towards graduation, and they differentially leave STEM due to their lower high school preparation in STEM and consequently lower grades in lower-division STEM courses during their first two years of enrollment. In the third essay (which is also my job market paper) I examine the effect of changing the grading scale from whole-letter grades to plus/minus grades on STEM graduation/major choice. In this study, I examine the effect of changing the grading scale from whole-letter grades to plus/minus grades on STEM graduation/major choice. I use administrative data from the Florida Department of Education that combines students’ pre-college characteristics with students’ enrollment and transcript records. I rely on a difference in differences framework that compares STEM graduation/major choice rates during the early 2000s versus the late 1990s for students whose grading differentials between STEM and non-STEM courses were reduced versus students whose grades were not differentially affected. I find significant effects of changing the grading scale on reducing grading differentials and improving STEM graduation/major choice. These results represent the first direct, quasi-experimental evidence regarding the effect of changing the grading scale.

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