Date of Award
Spring 2024
Document Type
Thesis
Terms of Use
© 2024 Lys Kang. This work is freely available courtesy of the author. It may be used under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license. For all other uses, please contact the copyright holder.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Degree Name
Bachelor of Arts
Department
Engineering Department
First Advisor
Allan R. Moser
Abstract
This report details the development of a personalized quiz feature for the Alby learning management platform, designed to enhance student learning by generating quizzes tailored to individual performance data. The project involved creating an algorithm to analyze dynamic student data and identify areas for improvement and then using OpenAI's GPT-4 to generate the multiple choice quizzes with elaborative feedback. Developed as a serverless application with AWS tools, the feature operates independently from the main platform. Despite the absence of applicable professional standards and constraints like limited data availability, the project met its functional requirements, demonstrating the potential to improve educational outcomes through customized, adaptive quizzes. Future work will aim to optimize quiz generation times and explore the development of a custom AI model.
Recommended Citation
Kang, Lys , '24, "Personalized Quiz Maker: Novel feature for Alby learning management system" (2024). Senior Theses, Projects, and Awards. 922.
https://works.swarthmore.edu/theses/922