Document Type
Honors Thesis
Abstract
The Computer Science and Engineering (CSE) department faces challenges with managing its tutoring services, especially tracking attendance, booking sessions, and overall management of the tutoring system - all of which severely limits the ability for tutors to connect and engage with students. To help overcome these issues, TutorTech, a web-based application that provides improved management of the tutoring system and supports more engaging learning experiences between students and tutors was designed. Through this project, the aim was to optimize the TutorTech search capabilities - assisting students to find tutors based on skills, while also considering the effect of user interface design on engagement and usability. The system was developed using database structure, algorithm optimization, and UI/UX testing to improve efficiency. Initial results suggest that a well-designed interface combined with an optimized search leads to a more favorable user experience and improves usability. By embedding a responsive tutor matching system, we aimed to improve the effectiveness, user experience, and scalability of the platform and provide more personalized and accessible learning experiences.
Disciplines
Engineering | Software Engineering
Publication Date
5-2025
Language
English
Faculty Mentor of Honors Project
Dr. Christopher Conly
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Pathak, Smarika, "TutorTech: A web app for a smarter and more efficient tutoring system" (2025). 2025 Spring Honors Capstone Projects. 31.
https://mavmatrix.uta.edu/honors_spring2025/31