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97 of looking at overall student access to financial aid or gateway courses, the scorecard broke down data by race/ethnicity to determine the level of access per subgroup (Bensimon, 2004). This type of valuable information presents indicators of current performance and leads institutions to identify targets for growth for specific student subgroups. The diversity scorecard presents a powerful opportunity to identify and target current and expected performance on a variety of college-readiness metrics disaggregated by subgroup. The following example looks at one college-readiness factor- Advanced Placement enrollment- and includes a diversity component by indicating the current and expected performance per subgroup: Table 7: AP Enrollment Diversity Scorecard Sample (NOT based on actual percentages) In the example above, the Yellow bar indicates the Baseline, or current percentage of students enrolled in Advanced Placement. The Green bar indicates the Target, or expected growth for the subgroup. Once targets have been reached, notice that the level 0% 20% 40% 60% 80% 100% 120% White (Armenian) White (non-Armenian) Black Hispanic Asian Current Subgroup Enrolled Expected Subgroup Enrollment Growth Target Subgroup NOT enrolled
Object Description
Title | Improving college participation success in Glendale Unified School District: An application of the gap analysis model |
Author | Cassady, Dawn Marie |
Author email | Kedwyn@aol.com; cassady@usc.edu |
Degree | Doctor of Education |
Document type | Dissertation |
Degree program | Education (Leadership) |
School | Rossier School of Education |
Date defended/completed | 2011-01-22 |
Date submitted | 2011 |
Restricted until | Unrestricted |
Date published | 2011-04-29 |
Advisor (committee chair) | Marsh, David D. |
Advisor (committee member) |
Rueda, Robert S. Arias, Robert J. |
Abstract | From the time of Brown v. Board of Education, the role of education has been on the forefront of our social, political and economic landscape. Legislation such as the Elementary and Secondary Education Act and No Child Left Behind as well as publications like A Nation at Risk have all illustrated the lack of access, equity and achievement in American schools for the last fifty years. Currently, the United States has a 69% average high school graduation rate, which varies between subgroups and of those students only 57% continue their education in college.; Glendale Unified School District (GUSD) is a high-performing, large, urban school district that serves an economically and culturally diverse population. This project examined the root causes of the gaps in college going rates for all students as well as those of the underrepresented subgroups by applying the Clark and Estes (2005) gap analysis model. Gaps between goal achievement (college participation) and actual student performance were examined and then research-based solutions for closing the achievement gap and recommendations based on those solutions were recommended to the school district administrative team. |
Keyword | secondary education; school reform; college access |
Geographic subject | school districts: Glendale Unified School District |
Geographic subject (county) | Los Angeles |
Geographic subject (state) | California |
Geographic subject (country) | USA |
Coverage date | 1954/2010 |
Language | English |
Part of collection | University of Southern California dissertations and theses |
Publisher (of the original version) | University of Southern California |
Place of publication (of the original version) | Los Angeles, California |
Publisher (of the digital version) | University of Southern California. Libraries |
Provenance | Electronically uploaded by the author |
Type | texts |
Legacy record ID | usctheses-m3806 |
Contributing entity | University of Southern California |
Rights | Cassady, Dawn Marie |
Repository name | Libraries, University of Southern California |
Repository address | Los Angeles, California |
Repository email | cisadmin@lib.usc.edu |
Filename | etd-Cassady-4360 |
Archival file | uscthesesreloadpub_Volume14/etd-Cassady-4360.pdf |
Description
Title | Page 103 |
Contributing entity | University of Southern California |
Repository email | cisadmin@lib.usc.edu |
Full text | 97 of looking at overall student access to financial aid or gateway courses, the scorecard broke down data by race/ethnicity to determine the level of access per subgroup (Bensimon, 2004). This type of valuable information presents indicators of current performance and leads institutions to identify targets for growth for specific student subgroups. The diversity scorecard presents a powerful opportunity to identify and target current and expected performance on a variety of college-readiness metrics disaggregated by subgroup. The following example looks at one college-readiness factor- Advanced Placement enrollment- and includes a diversity component by indicating the current and expected performance per subgroup: Table 7: AP Enrollment Diversity Scorecard Sample (NOT based on actual percentages) In the example above, the Yellow bar indicates the Baseline, or current percentage of students enrolled in Advanced Placement. The Green bar indicates the Target, or expected growth for the subgroup. Once targets have been reached, notice that the level 0% 20% 40% 60% 80% 100% 120% White (Armenian) White (non-Armenian) Black Hispanic Asian Current Subgroup Enrolled Expected Subgroup Enrollment Growth Target Subgroup NOT enrolled |