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.
Displaying 1 - 3 of 3
Filtering by
- All Subjects: Education Policy
Description
ABSTRACT
Closing the achievement gap between low-income, marginalized, racially, and linguistically diverse students has proven difficult. Research has outlined the effects of funding on student achievement in a manner that focuses the attention on dollars expended, in order overcome barriers to learning. Arizona has long been recognized for its education funding disparity, and its inability to balance fiscal capacity in a manner that serves to improve educational outcomes.
This dissertation examines how Arizona funds its education system. It measures horizontal inequity in a robust manner by examining those fiscal capacity resources directly related to learning and poverty. Recognizing districts with higher concentrations of special needs students will impact fiscal capacity at the district level, this dissertation applies a non-linear analysis to measure how English language learners/ limited English proficient (ELL/ LEP) student proportionality impacts federal and state revenue per pupil, ELL expenditures per pupil, and total expenditures per pupil.
Using the Gini Ratio, McCloone Index, Coefficient of Variation, and Theil inequality index, this dissertation confirms that significant education funding disparity exists across Arizona’s school districts. This dissertation also shows the proportion of English language learners is negatively related to local revenue per pupil, and ELL expenditures per ELL pupil.
Arizona has characteristically funded the public education system inequitably and positioned its students in a manner that stratifies achievement gaps based on wealth. Targeted funding toward ELLs is in no way meaningfully related to the proportion of ELLs in a district. Conceptually the way in which equity is defined, and measured, may require re-evaluation, beyond correlated inputs and outputs. This conceptual re-evaluation of equity must include the decision making process of administrative leaders which influence the quality of those resources related to student learning.
Closing the achievement gap between low-income, marginalized, racially, and linguistically diverse students has proven difficult. Research has outlined the effects of funding on student achievement in a manner that focuses the attention on dollars expended, in order overcome barriers to learning. Arizona has long been recognized for its education funding disparity, and its inability to balance fiscal capacity in a manner that serves to improve educational outcomes.
This dissertation examines how Arizona funds its education system. It measures horizontal inequity in a robust manner by examining those fiscal capacity resources directly related to learning and poverty. Recognizing districts with higher concentrations of special needs students will impact fiscal capacity at the district level, this dissertation applies a non-linear analysis to measure how English language learners/ limited English proficient (ELL/ LEP) student proportionality impacts federal and state revenue per pupil, ELL expenditures per pupil, and total expenditures per pupil.
Using the Gini Ratio, McCloone Index, Coefficient of Variation, and Theil inequality index, this dissertation confirms that significant education funding disparity exists across Arizona’s school districts. This dissertation also shows the proportion of English language learners is negatively related to local revenue per pupil, and ELL expenditures per ELL pupil.
Arizona has characteristically funded the public education system inequitably and positioned its students in a manner that stratifies achievement gaps based on wealth. Targeted funding toward ELLs is in no way meaningfully related to the proportion of ELLs in a district. Conceptually the way in which equity is defined, and measured, may require re-evaluation, beyond correlated inputs and outputs. This conceptual re-evaluation of equity must include the decision making process of administrative leaders which influence the quality of those resources related to student learning.
ContributorsMartinez, David G (Author) / Pivovarova, Margarita (Thesis advisor) / Berliner, David C. (Thesis advisor) / Dorn, Sherman (Committee member) / Arizona State University (Publisher)
Created2018
Description
Affirmative action is an education policy adopted by higher education institutions in the 1960s, where an applicant’s race is taken into account to some degree when being evaluated for admission to a college or university. The practice of affirmative action, or race conscious-admissions, has been repeatedly challenged in the legal system and remains a controversial and polarizing topic amongst the general public, campus leaders, and policy makers. Despite a vast amount of research on the effects of affirmative action policies on student and institutional behaviors and outcomes, such as college applications and enrollments, considerably less research has examined students’ attitudes towards race-conscious admissions policies. Even less research has focused on students in academic disciplines, especially STEM or engineering. Likewise, there is a paucity of research that explores students’ perceptions and knowledge of how affirmative action is implemented in practice. To address these gaps, this study investigates undergraduate engineering students’ knowledge of and attitudes towards affirmative action admissions policies in higher education. The Student Attitudes Towards Admissions Policies Survey (SATAPS) was designed to assess students’ knowledge of and attitudes regarding affirmative action practices in higher education admissions. This survey was administered to undergraduate engineering students and a comparison group of education students at 42 colleges/universities in the United States. Data were analyzed utilizing confirmatory factor analysis and hierarchical regression. Results demonstrated that students have low levels of knowledge about affirmative action, and have misconceptions about how the policy functions in practice. There was no difference in engineering and education students’ level of support for affirmative action; however, underrepresented minority students in engineering were more supportive of affirmative action. Results also indicated that students’ beliefs and values were the strongest predictors of attitude towards affirmative action, so much so that this negated the significance of demographic and personal characteristics, which was observed in the majority of previous studies. Results highlight a complicated relationship between demographic characteristics, personal variables, knowledge, institutional context, beliefs/values, and attitude towards affirmative action admissions policies in higher education.
ContributorsRoss, Lydia (Author) / Judson, Eugene (Thesis advisor) / Dorn, Sherman (Committee member) / Powers, Jeanne M. (Committee member) / Arizona State University (Publisher)
Created2019
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