Abstract
Artificial intelligence (AI) is shaping many industries, such as higher education, by offering transformative tools for personalized learning and academic assistance. While there is much concern for the student dependency of AI, there are tools to interact with AI while maintaining individual problem-solving, creative, and critical thinking abilities. This study dives into creating a tool for students to manage their demanding higher education schedules. An overview of user interface (UI), user experience (UX), and large language model (LLM) evolution builds the foundation of the web application, EasyGoing. To assess LLM integrity, preliminary case studies comparing the performance of three leading LLMs are rigorously examined. Usability testing is conducted to measure the effectiveness of the developed system, gathering user feedback on its functionality, adaptability, and ease of use. This paper explores the integration of AI-driven applications in educational environments, focusing on the design and usability LLMs for student time management.
Advisor
Guarnera, Heather
Department
Computer Science
Recommended Citation
Torres, Leilani, "EasyGoing: A Human-Centered Web Application for Student Organization Using LLMs" (2025). Senior Independent Study Theses. Paper 11433.
https://openworks.wooster.edu/independentstudy/11433
Keywords
student time management, UI/UX design, large language models, usability study
Publication Date
2025
Degree Granted
Bachelor of Arts
Document Type
Senior Independent Study Thesis
© Copyright 2025 Leilani Torres