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The purpose of this study was to increase first year residential student engagement and participation in residence hall programs during the 2011 fall semester at the Downtown Phoenix Campus of Arizona State University. Six upperclassmen (Taylor Place Leaders) residing in a residence hall (Taylor Place) were matched by academic major

The purpose of this study was to increase first year residential student engagement and participation in residence hall programs during the 2011 fall semester at the Downtown Phoenix Campus of Arizona State University. Six upperclassmen (Taylor Place Leaders) residing in a residence hall (Taylor Place) were matched by academic major with 17 first year students residing in Taylor Place. During the first eleven weeks of the fall semester 2011, first year students met regularly with their Taylor Place Leader to discuss residence hall program participation, living in Taylor Place, attending Arizona State University, and adjusting to their academic responsibilities. All 23 program participants completed a pre-survey inquiring about their satisfaction with their decision to attend Arizona State University, residence hall involvement, and knowledge of university services. The researcher met with Taylor Place Leaders throughout the study to learn about their experiences with mentoring the first year students. At the conclusion of the study, participants met with the researcher to complete a post-survey inquiring about the same information as the pre-survey and participated in individual interviews discussing their experience in the study. Two major findings were identified. First, participants reported that the Taylor Place Experience peer mentoring program assisted first year students in adjusting to college through identifying student support resources. Second, participants reported that living on campus during the freshman year, with mentoring support, could promote academic success, compared with living at home due to the close living proximity of their peers. Taylor Place also saw an increase in residence hall program participation during the 2011 fall semester in comparison to the 2010 fall semester. However, six of the seventeen freshman study participants decided to move out of Taylor Place and live at home by the end of the 2011 fall semester, for various reasons, such as family and employment obligations as well as being homesick.
ContributorsBriggs, Ronald (Author) / Clark, Christopher (Thesis advisor) / Rund, James (Committee member) / Wilkinson, Christine Kajikawa (Committee member) / Arizona State University (Publisher)
Created2012
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During the global COVID-19 pandemic in 2020, many universities shifted their focus to hosting classes and events online for their student population in order to keep them engaged. The present study investigated whether an association exists between student engagement (an individual’s engagement with class and campus) and resilience. A single-shot

During the global COVID-19 pandemic in 2020, many universities shifted their focus to hosting classes and events online for their student population in order to keep them engaged. The present study investigated whether an association exists between student engagement (an individual’s engagement with class and campus) and resilience. A single-shot survey was administered to 200 participants currently enrolled as undergraduate students at Arizona State University. A multiple regression analysis and Pearson correlations were calculated. A moderate, significant correlation was found between student engagement (total score) and resilience. A significant correlation was found between cognitive engagement (student’s approach and understanding of his learning) and resilience and between valuing and resilience. Contrary to expectations, participation was not associated with resilience. Potential explanations for these results were explored and practical applications for the university were discussed.

ContributorsEmmanuelli, Michelle (Author) / Jimenez Arista, Laura (Thesis director) / Sever, Amy (Committee member) / College of Integrative Sciences and Arts (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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We attempted to apply a novel approach to stock market predictions. The Logistic Regression machine learning algorithm (Joseph Berkson) was applied to analyze news article headlines as represented by a bag-of-words (tri-gram and single-gram) representation in an attempt to predict the trends of stock prices based on the Dow Jones

We attempted to apply a novel approach to stock market predictions. The Logistic Regression machine learning algorithm (Joseph Berkson) was applied to analyze news article headlines as represented by a bag-of-words (tri-gram and single-gram) representation in an attempt to predict the trends of stock prices based on the Dow Jones Industrial Average. The results showed that a tri-gram bag led to a 49% trend accuracy, a 1% increase when compared to the single-gram representation’s accuracy of 48%.

ContributorsBarolli, Adeiron (Author) / Jimenez Arista, Laura (Thesis director) / Wilson, Jeffrey (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05