This thesis aimed to create a curriculum for college students to increase their health insurance literacy and to evaluate the impact of the curriculum on participants' confidence. The curriculum for college students consisted of pre-recorded presentation slides covering six health insurance topics, pre- and post-tests, and evaluation questions. Canvas was used to house the curriculum. At the time of evaluation, a total of 12 participants had completed all aspects of the curriculum. The curriculum was evaluated through questions provided at the end of each module. It was found that participants felt the curriculum to be clear and helpful. Moreover, participants reported an increase in confidence, decreased confusion, and were interested in learning more about health insurance such as enrollment. Both the creation of a curriculum and the impact on participants' confidence was successful. At a later point in time, an analysis of the pre- and post-tests will be assessed to determine if the curriculum was effective at increasing health insurance literacy.

Visual presentation of information is one method of learning that has the ability to enhance STEM learning compared to learning solely through text. Educational psychology research is ongoing in the STEM field for how students can learn better through visual representations in their course material. The goal of this study was to assess student responses to visual mini-lessons related to course content in the cardiovascular unit in Animal Physiology (BIO360) at Arizona State University. Study participants completed a series of eight mini-lessons and a survey on their experience with the visual lessons. The results of the survey identify increased desire for visual learning materials in STEM courses. The study participants reported that they felt more visual aids in their STEM courses would increase their understanding of course content and that their classroom performance would improve.

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.