Barrett

Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.

Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.

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Residential Colleges and First-Year Experience: A Case Study of the Honors Arts Residential College Model at Barrett, the Honors College

Description
Undergraduate on-campus residential education is a topic of significant inquiry within the field of higher education, and specifically student affairs. It has become commonplace for institutions of higher education in the United States to leverage the intersections between academics and residence life in order to promote student success by offering…

Undergraduate on-campus residential education is a topic of significant inquiry within the field of higher education, and specifically student affairs. It has become commonplace for institutions of higher education in the United States to leverage the intersections between academics and residence life in order to promote student success by offering on-campus housing options that strategically place students in residential communities that provide additional connection to the students' academic experience, often by major, college, department, or other focus areas. Such models vary by institution, but are often referred to as living-learning communities or residential colleges, depending upon their structure and goals. For example, Barrett, the Honors College on the Tempe campus of Arizona State University implements a residential college model within its student housing; honors students live and study together, with the addition of three "special communities" designed for students majoring in Engineering, Business, or the Arts. This honors thesis case study describes and investigates the impact the visual and performing arts Barrett residential community has upon its residents in their first-year college experience. Through the lens of student development theory, this research focuses upon examining this specific residential community in detail in order to gain an understanding of its effect upon residents' academic and personal well being.
ContributorsBieschke, Sara Danielle (Author) / O'Flaherty, Katherine (Thesis director) / Rendell, Dawn (Committee member) / School of Art (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
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Convoluted Processes: The Use and Misuse of Machine Learning in Data Analysis and Prediction

Description

With the rapid increase of technological capabilities, particularly in processing power and speed, the usage of machine learning is becoming increasingly widespread, especially in fields where real-time assessment of complex data is extremely valuable. This surge in popularity of machine learning gives rise to an abundance of potential research and…

With the rapid increase of technological capabilities, particularly in processing power and speed, the usage of machine learning is becoming increasingly widespread, especially in fields where real-time assessment of complex data is extremely valuable. This surge in popularity of machine learning gives rise to an abundance of potential research and projects on further broadening applications of artificial intelligence. From these opportunities comes the purpose of this thesis. Our work seeks to meaningfully increase our understanding of current capabilities of machine learning and the problems they can solve. One extremely popular application of machine learning is in data prediction, as machines are capable of finding trends that humans often miss. Our effort to this end was to examine the CVE dataset and attempt to predict future entries with Random Forests. The second area of interest lies within the great promise being demonstrated by neural networks in the field of autonomous driving. We sought to understand the research being put out by the most prominent bodies within this field and to implement a model on one of the largest standing datasets, Berkeley DeepDrive 100k. This thesis describes our efforts to build, train, and optimize a Random Forest model on the CVE dataset and a convolutional neural network on the Berkeley DeepDrive 100k dataset. We document these efforts with the goal of growing our knowledge on (and usage of) machine learning in these topics.
ContributorsSelzer, Cora (Author) / Smith, Zachary (Co-author) / Ingram-Waters, Mary (Thesis director) / Rendell, Dawn (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2022-05
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The Impacts of COVID-19 on College Students Globally: A Review of the Emerging Literature

Description
This thesis considers various studies related to how COVID-19 has affected college students worldwide. This project provides an early examination of the literature in an effort to identify emerging themes, common global experiences, and areas still to be studied. First this project looks at how COVID-19 has exacerbated technological inequities,…

This thesis considers various studies related to how COVID-19 has affected college students worldwide. This project provides an early examination of the literature in an effort to identify emerging themes, common global experiences, and areas still to be studied. First this project looks at how COVID-19 has exacerbated technological inequities, including the impacts of the digital divide on college students’ educations. This project shows how the lack of access to technology and the digital divide has deprived students of educational opportunities and has impacted their overall quality of education. Second, this project looks at the mental health impacts of the pandemic on college students. College students are already a very vulnerable population to begin with, and COVID-19 further exacerbated mental health issues among these students. Third, this project looks at findings about gender differences and the impacts of COVID-19 based on gender. This project also explores the positive impacts of the pandemic, and finally concludes with ideas for future research going forward, as well as solutions to the problems addressed in the project. This project reviews literature from a global perspective. Many of the studies in this project are taken from international university student populations, as it is important to compare how university students worldwide reacted to and were impacted by the pandemic. Taking this global view into perspective is necessary to formulate methods of action in the possible occurrence of a future health crisis of this scale.
ContributorsVan Tilborg, Natalie (Author) / O'Flaherty, Katherine (Thesis director) / Rendell, Dawn (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Supply Chain Management (Contributor) / Department of Marketing (Contributor)
Created2022-05