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- Creators: Department of Information Systems
- Creators: School of Social Transformation
- Member of: Theses and Dissertations
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Expectation for college attendance in the United States continues to rise as more jobs require degrees. This study aims to determine how parental expectations affect high school students in their decision to attend college. By examining parental expectations that were placed on current college students prior to and during the application period, we can determine the positive and negative outcomes of these expectations as well as the atmosphere they are creating. To test the hypothesis, an online survey was distributed to current ASU and Barrett, Honors College students regarding their experience with college applications and their parents' influence on their collegiate attendance. A qualitative analysis of the data was conducted in tandem with an analysis of several case studies to determine the results. These data show that parental expectations are having a significant impact on the enrollment of high school students in college programs. With parents placing these expectations on their children, collegiate enrollment will continue to increase. Further studies will be necessary to determine the specific influences these expectations are placing on students.
This thesis seeks to investigate the use of Artificial Intelligence when reviewing STEM job applications and the human biases that are present in AI system training datasets. Further, it proposes to gender neutralize training dataset terms to evaluate job applications based on merit and qualifications, promoting the inclusivity of women in STEM jobs and seeking to eliminate job application system bias from a Utilitarian perspective.