ASU Electronic Theses and Dissertations
This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.
In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.
Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.
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Description
Guided by Tinto’s Theory of College Student Departure, I conducted a set of five studies to identify factors that influence students’ social integration in college science active learning classes. These studies were conducted in large-enrollment college science courses and some were specifically conducted in undergraduate active learning biology courses. Using qualitative and quantitative methodologies, I identified how students’ identities, such as their gender and LGBTQIA identity, and students’ perceptions of their own intelligence influence their experience in active learning science classes and consequently their social integration in college. I also determined factors of active learning classrooms and instructor behaviors that can affect whether students experience positive or negative social integration in the context of active learning. I found that students’ hidden identities, such as the LGBTQIA identity, are more relevant in active learning classes where students work together and that the increased relevance of one’s identity can have a positive and negative impact on their social integration. I also found that students’ identities can predict their academic self-concept, or their perception of their intelligence as it compares to others’ intelligence in biology, which in turn predicts their participation in small group-discussion. While many students express a fear of negative evaluation, or dread being evaluated negatively by others when speaking out in active learning classes, I identified that how instructors structure group work can cause students to feel more or less integrated into the college science classroom. Lastly, I identified tools that instructors can use, such as name tents and humor, which can positive affect students’ social integration into the college science classroom. In sum, I highlight inequities in students’ experiences in active learning science classrooms and the mechanisms that underlie some of these inequities. I hope this work can be used to create more inclusive undergraduate active learning science courses.
ContributorsCooper, Katelyn M (Author) / Brownell, Sara E (Thesis advisor) / Stout, Valerie (Committee member) / Collins, James (Committee member) / Orchinik, Miles (Committee member) / Zheng, Yi (Committee member) / Arizona State University (Publisher)
Created2018
Description
The emergence of machine intelligence, which is superior to the best human talent in some problem-solving tasks, has rendered conventional educational goals obsolete, especially in terms of enhancing human capacity in specific skills and knowledge domains. Hence, artificial intelligence (AI) has become a buzzword, espousing both crisis rhetoric and ambition to enact policy reforms in the educational policy arena. However, these policy measures are mostly based on an assumption of binary human-machine relations, focusing on exploitation, resistance, negation, or competition between humans and AI due to the limited knowledge and imagination about human-machine relationality. Setting new relations with AI and negotiating human agency with the advanced intelligent machines is a non-trivial issue; it is urgent and necessary for human survival and co-existence in the machine era. This is a new educational mandate. In this context, this research examined how the notion of human and machine intelligence has been defined in relation to one another in the intellectual history of educational psychology and AI studies, representing human and machine intelligence studies respectively. This study explored a common paradigmatic space, so-called ‘cyborg space,’ connecting the two disciplines through cross-referencing in the citation network and cross-modeling in the metaphorical semantic space. The citation network analysis confirmed the existence of cross-referencing between human and machine intelligence studies, and interdisciplinary journals conceiving human-machine interchangeability. The metaphor analysis found that the notion of human and machine intelligence has been seamlessly interwoven to be part of a theoretical continuum in the most commonly cited references. This research concluded that the educational research and policy paradigm needs to be reframed based on the fact that the underlying knowledge of human and machine intelligence is not strictly differentiated, and human intelligence is relatively provincialized within the human-machine integrated system.
ContributorsGong, Byoung-gyu (Author) / McGurty, Iveta (Thesis advisor) / Wylie, Ruth (Committee member) / Dorn, Sherman (Committee member) / Zheng, Yi (Committee member) / Arizona State University (Publisher)
Created2021
Description
Innovations in undergraduate education have increased the prevalence of active learning courses, online education, and student engagement in the high-impact practice of undergraduate research, however it is unknown whether students with disabilities are able to engage in these innovative learning environments to the same extent that they are able to engage in more traditional learning environments. Universities, disability resource centers, and instructors are mandated to provide accommodations to students with disabilities for the purposes of prohibiting discrimination and ensuring equal access to opportunities for individuals with disabilities. Are accommodations being adapted and created for these new types of learning environments? This dissertation reports findings from four studies about the experiences of students with disabilities in these three learning environments, specifically examining the challenges students with disabilities encounter and the emerging recommendations for more effective accommodations. I find that students with disabilities experience challenges in each of these learning environments and that the current suite of accommodations are not sufficient for students with disabilities. I argue that institutions need to consider modifying student accommodations and the process for obtaining them to better support students with disabilities in these evolving learning environments. I also provide recommendations for the ways in which undergraduate science education can be made more accessible and inclusive of students with disabilities.
ContributorsGin, Logan Eugene (Author) / Brownell, Sara E. (Thesis advisor) / Cooper, Katelyn M. (Thesis advisor) / Collins, James P. (Committee member) / Stout, Valerie (Committee member) / Zheng, Yi (Committee member) / Arizona State University (Publisher)
Created2021
Description
Years of teaching experience have long been taken as an important indicator of teacher and school quality in primary and secondary schools. However, research on the effects of teacher years of experience on student outcomes has shown mixed results. To investigate the source of variation causing these mixed results, this study examined a broad range of student and classroom compositions that might affect the relationship between teacher years of experience and student outcomes, including standardized test scores in English Language Arts and Mathematics, Social-Emotional Test scores, and the count and severity of student disciplinary incidents. Using multilevel regression, this study analyzed longitudinal data obtained from the largest school district in the state of Arizona, Mesa Unified School District, which is classified as a mid-high poverty district. Despite the large sample size, a very weak and non-significant relationship was found for teacher years of experience on any student outcome. In contrast, student and family demographic backgrounds were significantly related to student outcomes. English and Math scores were significantly associated with student giftedness, home languages, and English learning status. Social-emotional test scores were significantly related to race/ethnicity, home languages, and special education status. Both discipline counts and severity were statistically associated with race/ethnicity, and gender, while special education status was significantly related only to discipline severity. In addition, classroom composition variables based on student and family demographics, and students’ prior year scores on the outcome were significantly related to student outcomes. These results suggest that student characteristics, contextual classroom composition variables arising from student backgrounds are more important in predicting student outcomes than teacher years of experience, at least in a mid-high poverty school district. Therefore, student placements might be a key to addressing educational inequity for high-need students in mid-high poverty schools, consistent with prior studies in high-poverty schools.
ContributorsJin, Jeongim (Author) / Borman, Geoffrey (Thesis advisor) / West, Stephen (Committee member) / O'Reilly, Joseph (Committee member) / Zheng, Yi (Committee member) / Arizona State University (Publisher)
Created2024