The purpose of this study was to synthesize the counter-narratives of mathematically successful African American students. The gap in educational achievement between African American and White students is well documented in the United States, especially in mathematics education. Although Florida Comprehensive Assessment Test scores have increased for both groups at Seminole High School, the gap has remained over 30% for nearly a decade. Most research on this topic has focused on the reasons why African American students fail to achieve. Various individual, social, and organizational factors have been suggested. However, a growing body of research has highlighted the stories of mathematically successful African American students. Using best evidence review methods, an exhaustive review of the literature identified 22 research articles published between 2004 and 2013. All studies collected interview data with mathematically successful African American middle school, high school, and higher education students in the United States. Meta-synthesis was used to synthesize findings across studies. Among the 151 participants across 22 studies, six common experiences were identified as contributing to students' mathematical success: supportive teachers, supportive family, supportive peers, a strong mathematics identity, ability to deal with racial stereotype, and supportive organizations. Most importantly, this meta-synthesis highlights the tendency of prior research to focus on de-contextualized factors rather than understanding students holistically within their broader social and community environment. Insights from this study lead to several recommendations for improving mathematics education for African American students at Seminole High School and for suggested future research on this topic.
| Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:etd-5524 |
| Date | 01 January 2014 |
| Creators | Vong, Trung |
| Publisher | STARS |
| Source Sets | University of Central Florida |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Electronic Theses and Dissertations |
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