Web Application for Student Analytics
Arts and Sciences
Computer and Information Sciences
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
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.
Abello, Cristian; Bennett, Ryan; Iselin, Samuel; Mansuri, Arezu; and Orr, Kimberly, "Web Application for Student Analytics" (2018). Symposium on Undergraduate Research and Creative Expression (SOURCE). 687.