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The focus of /bəˈlôNG/ is to go beyond diversity and inclusion in fashion and instead to create a sense of belonging in the industry. Historically, fashion has been very discriminatory and I want to do my part to change this while inspiring others to do the same. This collection is

The focus of /bəˈlôNG/ is to go beyond diversity and inclusion in fashion and instead to create a sense of belonging in the industry. Historically, fashion has been very discriminatory and I want to do my part to change this while inspiring others to do the same. This collection is inspired by gardens as they represent a lovely, serene oasis in a world full of chaos, which is something we could all use in our day-to-day lives. Within gardens are a variety of different flowers all deemed beautiful, despite being different colors, types, or having some flaws.
ContributorsGilsdorf, Megan (Author) / de'Shay, Joanna (Thesis director) / Misquadace, Wanesia (Committee member) / Barrett, The Honors College (Contributor) / School of Art (Contributor)
Created2022-05
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Machine learning is a rapidly growing field, with no doubt in part due to its countless applications to other fields, including pedagogy and the creation of computer-aided tutoring systems. To extend the functionality of FACT, an automated teaching assistant, we want to predict, using metadata produced by student activity, whether

Machine learning is a rapidly growing field, with no doubt in part due to its countless applications to other fields, including pedagogy and the creation of computer-aided tutoring systems. To extend the functionality of FACT, an automated teaching assistant, we want to predict, using metadata produced by student activity, whether a student is capable of fixing their own mistakes. Logs were collected from previous FACT trials with middle school math teachers and students. The data was converted to time series sequences for deep learning, and ordinary features were extracted for statistical machine learning. Ultimately, deep learning models attained an accuracy of 60%, while tree-based methods attained an accuracy of 65%, showing that some correlation, although small, exists between how a student fixes their mistakes and whether their correction is correct.

ContributorsZhou, David (Author) / VanLehn, Kurt (Thesis director) / Wetzel, Jon (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-05
DescriptionDesigning an educational tool to encourage children’s creativity through art and design by introducing interactive technology to empower them to address systemic and generational trauma from disparity of resources and opportunities.
ContributorsChrisanty, Gloria (Author) / Shin, Dosun (Thesis director) / Piparsania, Swati (Committee member) / Barrett, The Honors College (Contributor) / The Design School (Contributor) / School of Art (Contributor)
Created2022-05
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Description

Designing an educational tool to encourage children’s creativity through art and design by introducing interactive technology to empower them to address systemic and generational trauma from disparity of resources and opportunities.

ContributorsChrisanty, Gloria (Author) / Shin, Dosun (Thesis director) / Piparsania, Swati (Committee member) / Barrett, The Honors College (Contributor) / The Design School (Contributor)
Created2022-05
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Description

Designing an educational tool to encourage children’s creativity through art and design by introducing interactive technology to empower them to address systemic and generational trauma from disparity of resources and opportunities.

ContributorsChrisanty, Gloria (Author) / Shin, Dosun (Thesis director) / Piparsania, Swati (Committee member) / Barrett, The Honors College (Contributor) / The Design School (Contributor)
Created2022-05
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Description

Designing an educational tool to encourage children’s creativity through art and design by introducing interactive technology to empower them to address systemic and generational trauma from disparity of resources and opportunities.

ContributorsChrisanty, Gloria (Author) / Shin, Dosun (Thesis director) / Piparsania, Swati (Committee member) / Barrett, The Honors College (Contributor) / The Design School (Contributor)
Created2022-05
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Description
The goal of this research study is to examine the nature and effects of social media marketing and the role it has played towards driving Gen Z into the luxury fashion industry. In addition, qualitative exploration focused on uncovering the reason behind why this market chooses to purchase luxury products

The goal of this research study is to examine the nature and effects of social media marketing and the role it has played towards driving Gen Z into the luxury fashion industry. In addition, qualitative exploration focused on uncovering the reason behind why this market chooses to purchase luxury products and investigated the relationship between social media influencers, luxury brands, and their consumers. Through 12 qualitative research interviews, five key insights were suggested from the results of the study: people buy luxury to fit in or stand out in social groups, social media marketing portrays a false reality, social media has contributed to the rise of Gen Z consumers in luxury fashion, social media has normalized owning luxury products, and social media has caused lowered self esteem and social pressure amongst Gen Z. These insights can be explained through a triangular framework, making up a marketing ecosystem involving the brand, the social media influencer, and the consumer. These three roles work together to buy and sell goods from one another. If one of the players fails to do their role, the relationships fall apart. Given phones and apps are highly personal items often only used by one individual, understanding and comparing the ads and images one user is exposed to versus another can be very tricky. Recently, the Federal Trade Commission has increased regulations over native advertisements when viewers became unable to decipher ad from reality. Gen Z’s may inadvertently compare themselves to influencers, ultimately causing lowered self esteem when they cannot possess or achieve the lifestyle of these individuals. These insights are important to help understand how to negate the negative effects of social media marketing and propel companies to be more transparent in their marketing initiatives to reduce social pressure and poor mental health amongst Gen Z. Luxury brands could utilize more explicit differentiators on paid advertisements compared to editorial material to make audiences more knowledgeable of the type of content they are viewing. In addition, society should change the way people perceive online content and have more open discussions surrounding the ethics of native advertising and decipection social media posts may cause. The way young users interact and process social media posts is very complex. Investigating this topic is important to prevent the possible underlying repercussions of social media and help marketers best cater toward this market in an open, ethical fashion. This study concludes with managerial applications and directions for further research. Businesses should prepare to face increasing guidelines regarding native advertising. These guidelines may include requirements to have explicit markings on branded content and binding contracts with social media influencers. To work around these restrictions, the future of luxury fashion indicates that direct to consumer strategies are on the rise. Video livestream retail and social commerce are already taking the Chinese market by storm and it's only a matter of time before American brands will be forced to adapt to keep up with changing trends in the marketplace. DTC brands benefit from having a direct channel to the consumer without interpretation or the need for intermediaries. Given this research primarily focuses on the links between the brand to influencer and influencer to consumer, future exploration could focus on the channel between the brand and consumer through direct selling. Going forward, brands may prefer to interact with their customers directly, without the use of an influencer, to help establish a close relationship with their audience through a seamless customer journey.
ContributorsElton, Eila (Author) / Ostrom, Amy (Thesis director) / Gray, Nancy (Committee member) / Bush, Leslie (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor) / The Design School (Contributor)
Created2022-05
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Description
Hydrologic modeling in snowfed karst watersheds is important for many communities relying on their water for municipal and agricultural use, but the complexities of karst hydrology have made this task historically difficult. Here, two Long Short-Term Memory (LSTM) models are compared to investigate this problem from a deep-learning perspective within

Hydrologic modeling in snowfed karst watersheds is important for many communities relying on their water for municipal and agricultural use, but the complexities of karst hydrology have made this task historically difficult. Here, two Long Short-Term Memory (LSTM) models are compared to investigate this problem from a deep-learning perspective within the context of the Logan River Canyon watershed, which supplies water to Logan City, UT. One is spatially lumped and the other spatially distributed, the latter with a potential to reveal underlying spatial watershed dynamics. Both use snowmelt and rainfall to predict daily streamflow downstream. I find distributed LSTMs consistently outperform lumped LSTMs in this task. Additionally, I find that a spatial sensitivity analysis of distributed LSTMs is unpromising in revealing spatial watershed dynamics but warrants further investigation.
ContributorsShaver, Ryan (Author) / Xu, Tianfang (Thesis director) / Jones, Don (Committee member) / Barrett, The Honors College (Contributor) / School of Earth and Space Exploration (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2022-05
Description
The purpose of this research is to create a model that will benefit this industry and the many changes to come. As of now, there are limited FTC guidelines which limit the protection of content creators, agencies, and brands. That is when I came up with the idea to develo

The purpose of this research is to create a model that will benefit this industry and the many changes to come. As of now, there are limited FTC guidelines which limit the protection of content creators, agencies, and brands. That is when I came up with the idea to develop a model to further improve efficiency of the influencer marketing industry, and to help the entrepreneurs who are leading it. This model provides the framework for a strong start in the influencer marketing industry. Through informational interviews, literary research, field studies, and surveys, the model was developed through the data analysis of each of these tools, based on common themes found within each. This research was conducted from a variety of perspectives, including consumers, brands, agencies, and content creators.
ContributorsFurnas, Madison (Author) / Eaton, John (Thesis director) / Ingram-Waters, Mary (Committee member) / Svirskis, Anthony (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Watts College of Public Service & Community Solut (Contributor) / Department of Marketing (Contributor) / Dean, W.P. Carey School of Business (Contributor)
Created2022-05
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Description

The purpose of this research is to create a model that will benefit this industry and the many changes to come. As of now, there are limited FTC guidelines which limit the protection of content creators, agencies, and brands. That is when I came up with the idea to develo

The purpose of this research is to create a model that will benefit this industry and the many changes to come. As of now, there are limited FTC guidelines which limit the protection of content creators, agencies, and brands. That is when I came up with the idea to develop a model to further improve efficiency of the influencer marketing industry, and to help the entrepreneurs who are leading it. This model provides the framework for a strong start in the influencer marketing industry. Through informational interviews, literary research, field studies, and surveys, the model was developed through the data analysis of each of these tools, based on common themes found within each. This research was conducted from a variety of perspectives, including consumers, brands, agencies, and content creators.

ContributorsFurnas, Madison (Author) / Eaton, John (Thesis director) / Ingram-Waters, Mary (Committee member) / Svirskis, Anthony (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor)
Created2022-05