Web Application for Student Analytics

Faculty Sponsor

Nicholas Rosasco


Arts and Sciences


Computer and Information Sciences

ORCID Identifier(s)

Abello: 0000-0001-7186-1535, Bennett: 0000-0003-3471-0564, Iselin: 0000-0003-2482-3215, Mansuri: 0000-0003-3122-419X, Orr: 0000-0003-4822-724X

Presentation Type

Poster Presentation

Symposium Date

Spring 5-3-2018


Schools collect a considerable amount of important data about their students, but using that data effectively can be difficult. In support of Joseph Haines, Adjunct Instructor of Mathematics and Statistics, this group of 5 students has developed a web tool that allows schools to search for patterns in their student data, especially patterns related to test scores and other quantitative data. This tool was developed in an Agile environment using a combination of Python, its Flask and Bokeh libraries, and HTML/CSS, which creates an interactive web tool that can support multiple concurrent users, as well as enhanced maintainability through centralized support capabilities. After a user uploads their data, the tool has three key functions, including pivot table views, data visualization, and multiple regressions. This project will allow teachers and school administrators to gain insight into how students are performing, and allow them to identify problems and teach students more effectively.

Biographical Information about Author(s)

Cristian Abello is a graduating senior with a major in computer science and double minors in mathematics and business administration. Ryan Bennett is a senior majoring in geography and history with minors in computer science and Japanese. Samuel Iselin is a junior majoring in mathematics and computer science and minoring in biology. Arezu Mansuri is a junior majoring in computer science and minoring in mathematics. Kimberly Orr is a junior majoring in computer science and statistics and minoring in mathematics.

This document is currently not available here.