Matching Items (3)
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- All Subjects: Barriers
- All Subjects: Human Resources Management
- All Subjects: race
- Creators: Scott, Kimberly
Description
Historically, African American students have been underrepresented in the fields of science, technology, engineering and mathematics (STEM). If African American students continue to be underrepresented in STEM fields, they will not have access to valuable and high-paying sectors of the economy. Despite the number of African Americans in these fields being disproportionately low, there are still individuals that persist and complete science degrees. The aim of this study was to investigate African American students who excel in science at Arizona State University and examine the barriers and affordances that they encounter on their journey toward graduation. Qualitative research methods were used to address the research question of the study. My methodology included creating a case study to investigate the experiences of eight African American undergraduate college students at Arizona State University. These four male and four female students were excelling sophomores, juniors, or seniors who were majoring in a science field. Two of the males came from lower socioeconomic status (SES) backgrounds, while two of the males were from higher SES backgrounds. The same applied to the four female participants. My research utilized surveys, semistructured interviews, and student observations to collect data that was analyzed and coded to determine common themes and elements that exist between the students. As a result of the data collection opportunities, peer support and financial support were identified as barriers, while, parental support, financial support, peer support, and teacher support were identified as affordances. In analyzing the data, the results indicated that for the student subjects in this study, sex and SES did not have any relationship with the barriers and affordances experienced.
ContributorsBoyce, Quintin (Author) / Scott, Kimberly (Thesis advisor) / Falls, Deanne (Committee member) / Baker, Dale (Committee member) / Arizona State University (Publisher)
Created2012
Description
Privilege is unearned advantages, access, and power reserved for a select group of people. Those that benefit from privilege manifest their power consciously and sub-consciously so as to maintain their exclusive control of the opportunities privilege affords them. The reach and power of one’s privilege rises and falls as the different social identities that one possesses intersect. Ultimately, if a society built on justice and equity is to be achieved, those with privilege must take tangible steps to acknowledge their privilege and work to end the unequal advantages and oppression that are created in order to perpetuate privilege. This thesis unpacks privilege through an autoethnographic examination of the author’s history. Through the use of creative nonfiction, personal stories become launching points to explore characteristics of privilege manifest in the author’s life which are emblematic of larger social groups that share many of the author’s social identities. The following characteristics of privilege are explored: merit, oppression, normalization, economic value, neutrality, blindness, and silence.
ContributorsBlack, Luke (Author) / Swadener, Elizabeth (Thesis advisor) / de la Garza, Amira (Committee member) / Scott, Kimberly (Committee member) / Arizona State University (Publisher)
Created2015
Description
ABSTRACTThis dissertation addresses two pivotal challenges within the US technology industry: racial equity and the rise of artificial intelligence (AI). It investigates whether the integration of AI in human resources (HR) can foster inclusivity and diversity for Black women in the tech workforce. Despite numerous diversity initiatives, Black women account for less than 2% of the US tech workforce, symbolizing a persistent challenge. Furthermore, AI often perpetuates structural biases, magnifying workforce inequities. This dissertation employs intersectionality, responsible innovation, and algorithmic bias theories to amplify the voices of Black women. It poses three critical questions: 1) How have Black women's HR experiences influenced diversity issues in the tech industry? 2) How is AI in HR developed considering the experiences of Black women? 3) What measures can enhance the role of AI in HR to promote diversity without deepening inequalities? Key findings reveal that current HR practices do not adequately serve Black women, driven by competing corporate priorities. Solutions should concentrate on recruiting, developing, promoting, and retaining Black women. Black women acknowledge the potential of AI to either reinforce or mitigate biases, yet they express apprehension about the development and implementation of AI in HR, which often lacks Black women's input. For AI to facilitate positive diversity results, companies must actively involve Black women in its development. This entails understanding the problems Black women face, using insights to design AI that addresses these issues and supports Black women's success, and engaging Black women in the development and assessment of AI implementations in HR, thereby enhancing accountability for diversity outcomes.
ContributorsWhye, Barbara Hickman (Author) / Miller, Clark (Thesis advisor) / Richter, Jennifer (Committee member) / Scott, Kimberly (Committee member) / Arizona State University (Publisher)
Created2023