Document Type
Honors Thesis
Abstract
Many tutoring centers lack tools to analyze and visualize key performance metrics, limiting data driven decision making. This study develops a data visualization feature for the CSE Student Success Center App at the University of Texas at Arlington, enabling administrators to track student engagement, tutor performance and session trends. Using the data of students and tutors, the feature provides interactive dashboards for real-time insights. Administrators can monitor attendance patterns, tutor workloads and booking trends, optimizing resource allocation. Findings indicate that real-time data visualization enhances decision-making, reducing manual effort while improving operational efficiency. This can further help improve student support services. This study underscores that importance, offering a model to integrate into tutoring platforms.
Disciplines
Computer and Systems Architecture | Data Storage Systems | Industrial Technology | Other Engineering
Publication Date
5-2025
Language
English
Faculty Mentor of Honors Project
Christopher Conly
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Kokate, Araohat, "A DATA DRIVEN APPROACH TO STUDENT SUCCESS: VISUALIZING ENGAGEMENT AND PERFORMANCE METRICS" (2025). 2025 Spring Honors Capstone Projects. 23.
https://mavmatrix.uta.edu/honors_spring2025/23
Included in
Computer and Systems Architecture Commons, Data Storage Systems Commons, Industrial Technology Commons, Other Engineering Commons