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Student-Tutor Tutoring Company

DescriptionThe thesis is based on the process of planning, creating, and implementing an in-home K-12th grade tutoring company that provides a tutoring service where students are aided in academic and lifetime success. The business model also contains detailed plans on how it expects to expand nationwide.
ContributorsVanDuzer, Todd (Author) / Samper, Adriana (Committee member) / Hoyt, Heather (Committee member) / Barrett, The Honors College (Contributor) / W. P. Carey School of Business (Contributor)
Created2012-12
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Mobile-Application for Digitizing Paper Receipts for the Honors Human Event (“Tutory”)

Description
All freshman honors students are required to take a two-semester course during their freshman year at ASU called Human Event. This course focuses on developing a student’s ability to break down the concepts in important historical texts and then write essay’s that explore these concepts. One of the unique qualities…

All freshman honors students are required to take a two-semester course during their freshman year at ASU called Human Event. This course focuses on developing a student’s ability to break down the concepts in important historical texts and then write essay’s that explore these concepts. One of the unique qualities of the honors college at ASU Polytechnic is the Thesis Fest, which is an opportunity for students to share their progress when writing each essay before the due date. During Thesis Fest, students discuss the texts they are writing about with tutors and they get helpful pointers regarding how to clearly understand the concepts they want to explore. These tutors are previous Human Event students who are all enrolled in another course called the Honors Colloquium. The polytechnic campus is also unique because it allows a student’s paper to be evaluated in a conference – Paper Mini-Conference (PMC) – between the student, a tutor, and the professor. The inspiration for this project is derived from personal experiences in the Honors Colloquium. During each Thesis Fest, students and tutors are required to fill out tutor receipts, verifying that the student attended Thesis Fest as well as the texts discussed. In addition, a receipt is also used to verify that the tutor is fulfilling his/her tutoring obligations. Therein lies a pain point for both tutors and students, which is the fact that all receipts are hand-written on small pieces of paper and both the tutor and student must have separate duplicate copies. In addition, the head tutor of the Colloquium is then required to analyze the cards and verify that individual tutors have enough receipts for the semester. Lastly, the student must verify that they attended Thesis Fest by bringing a receipt to the PMC. There have been many occasions when a student has forgotten their receipt, which results in them having to email the receipt to the professor or bring it in at a later time. This project aims to solve this problem by building a mobile application that digitizes the data collection for receipts.
ContributorsAlimov, Alexander (Author) / Oberle, Eric (Thesis director) / Martin, Thomas (Committee member) / Software Engineering (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05

The Examination of Efficacy in Miniature Horse Breeding Practices

Description
There are problems in the breeding practices of miniature horses. This study seeks to determine the source of these detrimental outcomes based on an evaluation of primary attributes selected for by breeders and the lack of genetic information and understanding of these attributes. In order to do this a program…

There are problems in the breeding practices of miniature horses. This study seeks to determine the source of these detrimental outcomes based on an evaluation of primary attributes selected for by breeders and the lack of genetic information and understanding of these attributes. In order to do this a program model was created to test the effects of selection criteria on breeder behavior and the resultant foals of these crosses. Moving forwards this program will evolve into a database of the equine genome for different horses. This will allow breeders to input their horses and do faux crosses in order to decrease the incidence of negative and detrimental outcomes.
ContributorsDavis, Marissa Lynn (Author) / Oberle, Eric (Thesis director) / Martin, Thomas (Committee member) / College of Letters and Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
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Barrett Poly Colloquial Hub

Description
The Barrett Poly Writing Colloquium is a dedicated group of students and faculty that come together to provide Freshmen in the Human Event with an impactful tutoring experience that enriches their Human Event papers and reading responses. There were, however, a few major issues with the way in which tutoring…

The Barrett Poly Writing Colloquium is a dedicated group of students and faculty that come together to provide Freshmen in the Human Event with an impactful tutoring experience that enriches their Human Event papers and reading responses. There were, however, a few major issues with the way in which tutoring sessions were recorded, archived, and maintained. We set out to clean up the process and provide a more positive experience for all involved. Starting out, we searched to find a way to electronically archive tutoring receipts that students receive at the end of a tutoring session. In the beginning of the project, we were sporting experience with front-end coding languages such as HTML and CSS, with a minuscule amount of experience using JavaScript. By diving in and closing the gaps in our knowledge of JavaScript, we were able to build a web form that would suit the needs of the tutors and administrators, while still offering students the feedback that they needed to improve their writing, in a personal way that preserves the quality of the core service provided by the colloquium. Our primary objective was to build a system that moved the reporting of tutoring sessions online, while maintaining a way to generate a receipt for distribution to the students and tutors. We delivered on that, and then some, by building an automated system using Google's developer tools to automatically write all tutoring session data to a Google Sheet, and send an automated email with all relevant information to both the student and tutor. We then dedicated the time we had remaining to adding additional features. It is here that we began to run into problems that unfortunately proved to be technological constraints of the platforms we were developing on, and the languages we were using. By this point, it was too late for us to pivot, but we were still able to achieve many of our goals. For example, we successfully implemented a feature that automatically archives the entire year's worth of data and creates a new, clean Google Sheet at the beginning of each school year. If we were to continue our project, with more time, we would use different development tools and systems so that we could have more flexibility. However, using the Google API provided us with many benefits that allowed us to jump right in to building our program, without having to struggle with building a whole database with accounts and permissions.
ContributorsLiddle, Lucas (Co-author) / Fix, Nathan (Co-author) / Oberle, Eric (Thesis director) / Martin, Thomas (Committee member) / Kennedy, Chad (Committee member) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05

The Future of Artificial Intelligence: Facial Recognition and its Ethical Implications in Medicine

Description

This thesis explores the ethical implications of using facial recognition artificial intelligence (AI) technologies in medicine, with a focus on both the opportunities and challenges presented by the use of this technology in the diagnosis and treatment of rare genetic disorders. We highlight the positive outcomes of using AI in…

This thesis explores the ethical implications of using facial recognition artificial intelligence (AI) technologies in medicine, with a focus on both the opportunities and challenges presented by the use of this technology in the diagnosis and treatment of rare genetic disorders. We highlight the positive outcomes of using AI in medicine, such as accuracy and efficiency in diagnosing rare genetic disorders, while also examining the ethical concerns including bias, misdiagnosis, the issues it may cause within patient-clinician relationships, misuses outside of medicine, and privacy. This paper draws on the opinions of medical providers and other professionals outside of medicine, which finds that while many are excited about the potential of AI to improve medicine, concerns remain about the ethical implications of these technologies. We discuss current legislation controlling the use of AI in healthcare and its ambiguity. Overall, this thesis highlights the need for further research and public discourse to address the ethical implications of using facial recognition and AI technologies in medicine, while also providing recommendations for its future use in medicine.
ContributorsKohlenberg, Maiya (Author) / Vargas Jordan, Anna (Co-author) / Martin, Thomas (Thesis director) / Sellner, Erin (Committee member) / Barrett, The Honors College (Contributor) / School of International Letters and Cultures (Contributor) / School of Social Transformation (Contributor) / School of Life Sciences (Contributor)
Created2023-05

The Future of Artificial Intelligence: Facial Recognition and its Ethical Implications in Medicine

Description

This thesis explores the ethical implications of using facial recognition artificial intelligence (AI) technologies in medicine, with a focus on both the opportunities and challenges presented by the use of this technology in the diagnosis and treatment of rare genetic disorders. We highlight the positive outcomes of using AI in…

This thesis explores the ethical implications of using facial recognition artificial intelligence (AI) technologies in medicine, with a focus on both the opportunities and challenges presented by the use of this technology in the diagnosis and treatment of rare genetic disorders. We highlight the positive outcomes of using AI in medicine, such as accuracy and efficiency in diagnosing rare genetic disorders, while also examining the ethical concerns including bias, misdiagnosis, the issues it may cause within patient-clinician relationships, misuses outside of medicine, and privacy. This paper draws on the opinions of medical providers and other professionals outside of medicine, which finds that while many are excited about the potential of AI to improve medicine, concerns remain about the ethical implications of these technologies. We discuss current legislation controlling the use of AI in healthcare and its ambiguity. Overall, this thesis highlights the need for further research and public discourse to address the ethical implications of using facial recognition and AI technologies in medicine, while also providing recommendations for its future use in medicine.
ContributorsVargas Jordan, Anna (Author) / Kohlenberg, Maiya (Co-author) / Martin, Thomas (Thesis director) / Sellner, Erin (Committee member) / Barrett, The Honors College (Contributor) / College of Health Solutions (Contributor)
Created2023-05