Abstract
This work presents a visual analytical tool, to assist instructors of introductory computer science courses to manage students’ learning. The first half of this project is an investigation on various visualization tools which inspired the motivation and brainstorms to build class performance analytic tooling. The second half of this project is an interactive visualization tool to understand individual student performance, compare the growth with other students in the class, and obtain an overall picture of an entire class’ performance. Focusing on students’ performance and growth can help the instructors who are the students who are doing well and who need some extra help. Careful monitoring of students’ performance can help in improving their growth. In this work, I develop an interactive visualization tool. The visualization was designed using D3.js, Javascript, and Python. This work was done in reference to an online class-room dataset. Visual tool would help to understand the insights of this dataset and looker deeper into the dataset. We present two views to analyze the performance of a class. One way is to understand how each student is performing in every topic of the subject from one exam to another exam. The second approach is to help in obtaining the overall perspective of the students’ growth from one exam to another. Both these views clearly distinguish the students who have improved from one examination to another. These views are designed by obtaining data from each student. Interactive features are incorporated to make these views easily readable and understandable.