Title of Abstract

Data Dashboard for Educational Assistance

Submitting Student(s)

Asha Johnson
Brandon Bradley

Session Title

Poster Session 2

Faculty Mentor

Paul Wiegand, Ph.D.

College

College of Business Administration

Department

Computer Science & Quantitative Methods

Abstract

The purpose of this data dashboard is to provide instructors with improved data analytics for pre/post test analysis of tests/quizzes that use multiple choice questions. The dashboard visualizes data through heatmaps, cluster maps, bar graphs, and some experimental visualizations. These provide instructors a view into how students are performing as means of assessing whether certain in-class interventions are improving student performance. One intervention we examine is the use of peer instruction, a mechanism in which students can help one another better understand the questions being asked. The dashboard has been developed through the use of Python and includes web-development libraries such as Dash, Flask, and Plotly. We will describe these methods, as well as the results of a focus group study of subject matter experts (educators) conducted in Fall 2022.

Previously Presented/Performed?

Winthrop University Showcase of Undergraduate Research and Creative Endeavors, Rock Hill, SC, April 2023.

Type of Presentation

Poster presentation

Grant Support?

Supported by a grant from the National Science Foundation (2038406)

This document is currently not available here.

Share

COinS
 

Data Dashboard for Educational Assistance

The purpose of this data dashboard is to provide instructors with improved data analytics for pre/post test analysis of tests/quizzes that use multiple choice questions. The dashboard visualizes data through heatmaps, cluster maps, bar graphs, and some experimental visualizations. These provide instructors a view into how students are performing as means of assessing whether certain in-class interventions are improving student performance. One intervention we examine is the use of peer instruction, a mechanism in which students can help one another better understand the questions being asked. The dashboard has been developed through the use of Python and includes web-development libraries such as Dash, Flask, and Plotly. We will describe these methods, as well as the results of a focus group study of subject matter experts (educators) conducted in Fall 2022.