Barrett, The Honors College Thesis/Creative Project Collection
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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- Creators: Computing and Informatics Program
Description
The Migration Framework and Simulator is a combination of C# framework / library and Unity simulation tool used for studying basic migration patterns across the US. Users interact with the
Unity simulation tool by implementing political policies or adjusting values via sliders, buttons, etc., which will alter the values in the framework. The user can then use the simulation interface to view different estimated population values for categories of people, such as regional differences, education levels, and more.
Unity simulation tool by implementing political policies or adjusting values via sliders, buttons, etc., which will alter the values in the framework. The user can then use the simulation interface to view different estimated population values for categories of people, such as regional differences, education levels, and more.
ContributorsLarsen, Joseph (Co-author) / Spangler, Braydon (Co-author) / Kobayashi, Yoshihiro (Thesis director) / Nelson, Brian (Committee member) / Computing and Informatics Program (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
This study sought to replicate previous work in student conceptions of formal proofs based on informal arguments, originally explored by Zazkis et al. (2016). Additional tasks were added to the experiment to produce new data that could further verify the analysis of Zazkis et al. (2016) as well as provide more insight into how students comprehend proofs, what types of mistakes occur, and why. Results from one-on-one interviews confirmed that some students were not able to make accurate informal to formal comparisons because they were not considering multiple facets of the problem. Additionally, patterns in the students’ analysis introduced more questions concerning the motivations behind what students choose to think about when they read and dissect proofs.
ContributorsPeng, Tina (Author) / Zazkis, Dov (Thesis director) / Roh, Kyeong Hah (Committee member) / School of Mathematical and Statistical Sciences (Contributor, Contributor) / Computer Science and Engineering Program (Contributor) / Computing and Informatics Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Collecting accurate collective decisions via crowdsourcing
is challenging due to cognitive biases, varying
worker expertise, and varying subjective scales. This
work investigates new ways to determine collective decisions
by prompting users to provide input in multiple
formats. A crowdsourced task is created that aims
to determine ground-truth by collecting information in
two different ways: rankings and numerical estimates.
Results indicate that accurate collective decisions can
be achieved with less people when ordinal and cardinal
information is collected and aggregated together
using consensus-based, multimodal models. We also
show that presenting users with larger problems produces
more valuable ordinal information, and is a more
efficient way to collect an aggregate ranking. As a result,
we suggest input-elicitation to be more widely considered
for future work in crowdsourcing and incorporated
into future platforms to improve accuracy and efficiency.
is challenging due to cognitive biases, varying
worker expertise, and varying subjective scales. This
work investigates new ways to determine collective decisions
by prompting users to provide input in multiple
formats. A crowdsourced task is created that aims
to determine ground-truth by collecting information in
two different ways: rankings and numerical estimates.
Results indicate that accurate collective decisions can
be achieved with less people when ordinal and cardinal
information is collected and aggregated together
using consensus-based, multimodal models. We also
show that presenting users with larger problems produces
more valuable ordinal information, and is a more
efficient way to collect an aggregate ranking. As a result,
we suggest input-elicitation to be more widely considered
for future work in crowdsourcing and incorporated
into future platforms to improve accuracy and efficiency.
ContributorsKemmer, Ryan Wyeth (Author) / Escobedo, Adolfo (Thesis director) / Maciejewski, Ross (Committee member) / Computing and Informatics Program (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
While most of the media attention given to video games focuses on those geared towards the entertainment industry, a less covered topic is the role of serious games. Also known as “educational” games, serious games are designed with the intent to teach the player a particular skill or topic. These games have gradually been working their way into our educational environments. Children are often taught to type, perform simple math, and correctly spell through a variety of games that have been widely adopted by teachers. However, teaching multiplication is one thing; teaching college-level advanced mathematics is another beast altogether. Can video games actually be used as an educational tool in higher education?
This is a difficult question for a variety of reasons. A major issue to consider is whether the students who play this game are actually learning the material, or simply improving at the game itself. If the game is not designed correctly, one could potentially learn to exploit game mechanics without applying knowledge of the material. While this person’s efficiency at completing the game quickly would suggest mastery of the topic, they may not actually be prepared to take a test on the subject. As such, it is important to thoroughly study the effectiveness of serious games before they are deployed to actual classrooms. This study will do just that with the game Vector Unknown, which was designed to help college students learn linear algebra.
This is a difficult question for a variety of reasons. A major issue to consider is whether the students who play this game are actually learning the material, or simply improving at the game itself. If the game is not designed correctly, one could potentially learn to exploit game mechanics without applying knowledge of the material. While this person’s efficiency at completing the game quickly would suggest mastery of the topic, they may not actually be prepared to take a test on the subject. As such, it is important to thoroughly study the effectiveness of serious games before they are deployed to actual classrooms. This study will do just that with the game Vector Unknown, which was designed to help college students learn linear algebra.
ContributorsBayles, Brandon Conner (Co-author) / Bayles, Brandon (Co-author) / Amresh, Ashish (Thesis director) / Zandieh, Michelle (Committee member) / Computer Science and Engineering Program (Contributor, Contributor) / Computing and Informatics Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05