University of Illinois Urbana-Champaign

AI in U.S. Education: A Review of the Benefits and Concerns of Large Language Models in English Language Learning for Undergraduate Students of Color

Ollivierre, Raymond; Nyquist, Kerstin; Vivas, Anthony; Lopez, Julie; Okafor, Chimdindu; Smith, Angela D. R.; Huff Earl Jr.

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https://hdl.handle.net/2142/122840

Description

Title
AI in U.S. Education: A Review of the Benefits and Concerns of Large Language Models in English Language Learning for Undergraduate Students of Color
Author(s)
  • Ollivierre, Raymond
  • Nyquist, Kerstin
  • Vivas, Anthony
  • Lopez, Julie
  • Okafor, Chimdindu
  • Smith, Angela D. R.
  • Huff Earl Jr.
Issue Date
2024-03-20
Keyword(s)
  • Artificial Intelligence
  • BIPOC
  • English Language Learning
  • Large Language Models
  • Higher Education
Abstract
Undergraduate students of color are some of the most overlooked groups within the U.S. education system due to long-standing systemic inequalities. Their challenges are often unique and unaddressed as the U.S. collegiate system seeks to shuffle as many students in and out of tertiary education as possible while maintaining profit. This significant disadvantage is only exacerbated in foreign or non-native English-speaking students. Large language models (LLMs) are artificially intelligent tools that have been used for various linguistic applications. This poster is the first step within a larger research program to explore whether recent advancements in this technology can be used to bridge the reading/language gap that causes students of color to fall behind in tertiary education. In our research, we explored existing literature to find out more about how this emerging technology could be used in conjunction with education to act as an aid for marginalized undergraduates. What we found was not only hope for the future of Artificial Intelligence (AI) but also glaring issues of bias both within LLM and in research on college undergraduates.
Publisher
iSchools
Series/Report Name or Number
iConference 2024 Proceedings
Type of Resource
Other
Language
eng
Handle URL
https://hdl.handle.net/2142/122840
Copyright and License Information
Copyright 2024 is held by Raymond Ollivierre, Kerstin Nyquist, Anthony Vivas, Julie Lopez, Chimdindu Okafor, Angela D. R. Smith, and Earl Huff Jr.. Copyright permissions, when appropriate, must be obtained directly from the authors.

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Posters presented at the 2024 iConference https://www.ischools.org/iconference