Data Dashboard for Educational Assistance
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
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.
