Multifaceted Assessment of Responsible Use and Bias in Language Models for Education

Large language models (LLMs) are increasingly being utilized to develop tools and services in various domains, including education. However, due to the nature of the training data, these models are susceptible to inherent social or cognitive biases, which can influence their outputs. Furthermore, th...

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Bibliographic Details
Main Authors: Ishrat Ahmed, Wenxing Liu, Rod D. Roscoe, Elizabeth Reilley, Danielle S. McNamara
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Computers
Subjects:
Online Access:https://www.mdpi.com/2073-431X/14/3/100
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