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)

Start Date

15-4-2023 12:00 PM

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Apr 15th, 12:00 PM

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.