Thunderstruck the Meter - An Affordable DC Panel Meter; The Impact of AI on Future Education

Clatterbuck, Jacob, School of Engineering and Applied Science, University of Virginia
Ku, Tsai-Hsuan, EN-Engineering and Society, University of Virginia

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.

BS (Bachelor of Science)
AI, Artificial Intelligence, Education

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

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