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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
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While Covid-19 had severe impacts on education across the board, the goal of our research is to examine how virtual learning affected Business Data Analytics and Computer Information Students at Arizona State University. A survey was created to measure three key academic areas (student learning, communication, and student engagement) that

While Covid-19 had severe impacts on education across the board, the goal of our research is to examine how virtual learning affected Business Data Analytics and Computer Information Students at Arizona State University. A survey was created to measure three key academic areas (student learning, communication, and student engagement) that may have experienced a notable change in quality. Forty Nine W.P. Carey students were surveyed and their responses were recorded in a Google Sheet. From there the results were transferred to excel and converted into a Numeric Likert scale. By establishing base scores for each of the survey statements we can isolate areas of virtual learning that underwhelmed or satisfied our target demographic. The objective of the subsequent analysis was to identify any areas within the three focal points that participants felt strongly impacted their performance with virtual schooling during the August 2020 to May 2021 school year.

ContributorsGlynn, Rory (Author) / Briggs, Georgette (Thesis director) / Melo, Juan (Committee member) / O'Flaherty, Katherine (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor)
Created2022-05