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Description
This research aimed to analyze and ultimately understand the relationship between the four dimensions of the Technology Readiness Index (TRI) 2.0 (optimism, innovation, discomfort, and insecurity) when compared to self-efficacy and learning. The experiment design was a one-group pretest-posttest where a participant’s TRI 2.0 acted as a subject variable. This information was then correlated to changes in self-efficacy and content mastery (learning) from pre-/post-test scores pertaining to Google Sheets functions for introductory statistics. In-between the pre- and post-tests, a learning activity was presented which asked participants to analyze quantitative statistics using Google Sheets. Findings of this research demonstrated a statistically insignificant relationship between technology readiness and self-efficacy or learning. Alternatively, significance was observed in changes from pre- to post-test scores for both learning and self-efficacy where a relationship was found between the degree to which participants’ content mastery and self-efficacy change before and after a computer-supported learning activity is assigned. These findings directly contribute to current understanding of how and why individuals can effectively learn and perform in computer-supported learning environments.
ContributorsCervantes Villa, Sabrina Marie (Author) / Craig, Scotty D. (Thesis advisor) / Donner, Jodie (Committee member) / Roscoe, Rod (Committee member) / Wylie, Ruth (Committee member) / Arizona State University (Publisher)
Created2022
Description
Many college campuses institute residency requirements intended to provide intentional support, engagement, and assistance in the transition into life as a first-year college student. However, first-year students opting to continue living at home with family and commuting to campus each day has become a growing trend. This group of students can often be more sizable than some may assume and their developmental needs can be consistent with those of their on-campus peers. The objective of this mixed-methods action research study was to better understand how peer-to-peer experiences and opportunities are perceived and to describe and explore the concept of social capital and sense of belonging within the first-year commuter student population. This feeling of isolation can often expand to a lack of campus involvement and engagement in social opportunities. As a result of the perceived needs of this growing first-year commuter student population, a peer mentoring program was launched as a pilot to localize, personalize, and support students by providing a peer student leader in the form of a commuter peer mentor (CPM). Results from the qualitative and quantitative data collected as a part of this study demonstrated that first-year students value specific and easily-identified resources made available to their unique need cases and while many first-year commuter students may feel well supported and connected academically, they articulated challenges with social connections within the university setting. The understandings gained from this action research can inform higher education and student affairs practitioners as they seek to establish or improve programs, resources, and practices that intentionally and thoughtfully support first-year commuter students.
ContributorsMoore, Jeremy (Author) / Wylie, Ruth (Thesis advisor) / Aska, Cassandra (Committee member) / Kim, Samuel (Committee member) / Arizona State University (Publisher)
Created2020
Description
ABSTRACT
Faculty and staff can create barriers by not understanding their role in student success. This study began with an artifact analysis of 20 documents to better understand how faculty and staff at Concordia University Texas were operationalizing student success. The results of the artifact analysis showed a lack of recorded dialogue around student success at regular business meetings, as well as pattern of deficit language approach to policy and procedure in the student handbooks Next, this study evaluated the impacts of using a Community of Practice as a change agent to help faculty and staff better understand their roles in student success and specifically to establish a definition of student success. Using a mixed method, action research approach, results showed that the Community of Practice was successful in terms of transfer or knowledge and creating a sense of purpose for participants regarding their role in student success. Results showed that participating in a Community of Practice was successful in helping faculty and staff not only understand their own role in student success, but understand their place among others in the unified goal to help students succeed. The Community of Practice participants completed the research with a better understanding of how and why collaborating with different departments enables faculty and staff to better help students. Additionally, the participants concluded that a visual reminder of student success (figurines, students stories, student pictures) ensured that student success was the first thing they thought about when completing their daily work.
Faculty and staff can create barriers by not understanding their role in student success. This study began with an artifact analysis of 20 documents to better understand how faculty and staff at Concordia University Texas were operationalizing student success. The results of the artifact analysis showed a lack of recorded dialogue around student success at regular business meetings, as well as pattern of deficit language approach to policy and procedure in the student handbooks Next, this study evaluated the impacts of using a Community of Practice as a change agent to help faculty and staff better understand their roles in student success and specifically to establish a definition of student success. Using a mixed method, action research approach, results showed that the Community of Practice was successful in terms of transfer or knowledge and creating a sense of purpose for participants regarding their role in student success. Results showed that participating in a Community of Practice was successful in helping faculty and staff not only understand their own role in student success, but understand their place among others in the unified goal to help students succeed. The Community of Practice participants completed the research with a better understanding of how and why collaborating with different departments enables faculty and staff to better help students. Additionally, the participants concluded that a visual reminder of student success (figurines, students stories, student pictures) ensured that student success was the first thing they thought about when completing their daily work.
ContributorsPospisil, KC (Author) / Wylie, Ruth (Thesis advisor) / Ott, Mollie (Committee member) / Burgess, Prairie (Committee member) / Arizona State University (Publisher)
Created2020
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