Theses and dissertations

This collection includes both ASU Theses and Dissertations, submitted by graduate students, and the Barrett, Honors College theses submitted by undergraduate students. 

Displaying 1 - 2 of 2
Filtering by

Clear all filters

171796-Thumbnail Image.png

The Experiences of Undergraduates with Depression in Online Science Learning Environments

Description
Depression is one of the top mental health concerns among undergraduatesand disproportionately affects students who are underrepresented in science. As such, understanding how emerging science learning environments, such as online science courses, affect students with depression is integral to creating a more inclusive scientific community. In this exploratory study, I interviewed 24 undergraduates with…

Depression is one of the top mental health concerns among undergraduatesand disproportionately affects students who are underrepresented in science. As such, understanding how emerging science learning environments, such as online science courses, affect students with depression is integral to creating a more inclusive scientific community. In this exploratory study, I interviewed 24 undergraduates with depression who were pursuing an online BS degree in biological sciences at a research-intensive institution. I assessed how students perceived depression affected their learning, and in turn, how online science courses affected their depression. Using a hybrid approach of deductive and inductive coding, I found that students’ reported depression negatively affected an array of cognitive domains when learning science online, including students’ effort, focus, and time management. Students reported that the fast pace of online courses, the lack of needing to show up to a class in person, and difficulty developing relationships with other students commonly exacerbated their depression. Conversely, the flexibility of completing coursework when and where students wanted, developing a relationship with the instructor, and the ease of having questions answered online positively affected students' depression. This study provides insight into ways to create inclusive online learning environments for students with depression.
ContributorsMohammed, Tasneem (Author) / Cooper, Katelyn KC (Thesis advisor) / Brownell, Sara SB (Committee member) / Collins, James JM (Committee member) / Arizona State University (Publisher)
Created2022
165078-Thumbnail Image.png

Ethnic Discrimination, Socioeconomic Status, and Health in India

Description

Significant health inequalities exist between different castes and ethnic communities in India, and identifying the roots of these inequalities is of interest to public health research and policy. Research on caste-based health inequalities in India has historically focused on general, government-defined categories, such as “Scheduled Castes,” “Scheduled Tribes,” and “Other…

Significant health inequalities exist between different castes and ethnic communities in India, and identifying the roots of these inequalities is of interest to public health research and policy. Research on caste-based health inequalities in India has historically focused on general, government-defined categories, such as “Scheduled Castes,” “Scheduled Tribes,” and “Other Backward Classes.” This method obscures the diversity of experiences, indicators of well-being, and health outcomes between castes, tribes, and other communities in the “scheduled” category. This study analyzes data on 699,686 women from 4,260 castes, tribes and communities in the 2015-2016 Demographic and Health Survey of India to: (1) examine the diversity within and overlap between general, government-defined community categories in both wealth, infant mortality, and education, and (2) analyze how infant mortality is related to community category membership and socioeconomic status (measured using highest level of education and household wealth). While there are significant differences between general, government-defined community categories (e.g., scheduled caste, backward class) in both wealth and infant mortality, the vast majority of variation between communities occurs within these categories. Moreover, when other socioeconomic factors like wealth and education are taken into account, the difference between general, government-defined categories reduces or disappears. These findings suggest that focusing on measures of education and wealth at the household level, rather than general caste categories, may more accurately target those individuals and households most at risk for poor health outcomes. Further research is needed to explain the mechanisms by which discrimination affects health in these populations, and to identify sources of resilience, which may inform more effective policies.
ContributorsClauss, Colleen (Author) / Hruschka, Daniel (Thesis director) / Davis, Mary (Committee member) / Barrett, The Honors College (Contributor) / School of Human Evolution & Social Change (Contributor) / Department of Psychology (Contributor)
Created2022-05