Online Archive of University of Virginia Scholarship
Thunderstruck the Meter - An Affordable DC Panel Meter; The Impact of AI on Future Education358 views
Author
Clatterbuck, Jacob, School of Engineering and Applied Science, University of Virginia
Advisors
Ku, Tsai-Hsuan, EN-Engineering and Society, University of Virginia
Abstract
With the recent advances in Natural Language Processing and AI technologies, many new
societal challenges are being discovered. While these tools are incredibly powerful and stand to provide
an incredible boon to humanity, there have already been incidents of individuals using them for
dishonest purposes. My STS thesis investigates the impact these AI technologies will have on the field
of education, both positive and negative. Uses such as Automated Teaching Assistants can help students
and teachers by providing immediate feedback and information while reducing workload, but uses such
as instant essay generation could harm society by allowing students to plagiarize undetected with ease.
Research is conducted and the data analyzed to determine both the efficacy of currently existing tools
as well as the plausibility of using AI for academic fraud.
Degree
BS (Bachelor of Science)
Keywords
AI; Artificial Intelligence; Education
Notes
School of Engineering and Applied Science
Bachelor of Science in Computer Engineering
Technical Advisor: Harry Powell
STS Advisor: Tsai-Hsuan Ku
Technical Team Members: Jacob Clatterbuck, Hieu Le, Krisitan Johnson
Language
English
Rights
All rights reserved (no additional license for public reuse)
Clatterbuck, Jacob. Thunderstruck the Meter - An Affordable DC Panel Meter; The Impact of AI on Future Education. University of Virginia, School of Engineering and Applied Science, BS (Bachelor of Science), 2021-05-15, https://doi.org/10.18130/bngk-6p34.
