Honors Program Theses
Award/Availability
Open Access Honors Program Thesis
First Advisor
Catherine Miller
Abstract
Many aspects of math teaching could be impacted by the implementation of AI in schools, but I chose to focus on the implementation of AI in assessments of mathematical learning. A large part of teaching mathematics is determining how students are progressing in their understanding of mathematics. There are typically certain benchmarks that students are expected to reach. For example, in middle school math, students typically learn about equivalent ratios before they learn about proportional relationships. Thus, when students are discussing proportional relationships—think recipes—they can use the language for equivalent ratios to describe proportional relationships—for every 3 cups of water there are 5 cups of flour.
Year of Submission
2024
Department
Department of Mathematics
University Honors Designation
A thesis submitted in partial fulfillment of the requirements for the designation University Honors
Date Original
12-2024
Object Description
1 PDF (26 pages)
Copyright
©2024 Casandra Tounjian
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Language
en
File Format
application/pdf
Recommended Citation
Tounjian, Casandra, "An Analysis of Artificial Intelligence's Potential in Assessments of Math Learning" (2024). Honors Program Theses. 957.
https://scholarworks.uni.edu/hpt/957
