Date
2-13-2020
Faculty Mentor
Jason Cleveland, Mathematical, Computing & Information Science
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Files
Download (76.4 MB)
Submission Type
Paper
Location
Houston Cole Library, 11th Floor | 3:30-3:40 p.m.
Description
Tutoring has always been a cornerstone of academia, but one question has recently arisen; how many hours a student needs to attend tutoring in order to succeed in their course? There are many variables that can influence the hours needed. Some of the more important variables include prerequisite grades, ACT/SAT scores, and placement tests scores. Jacksonville State University’s Precalculus Algebra course is a perfect sample course to apply machine learning skills such as regression to discern how many hours one specific student needs in order to succeed. This presentation describes the important variables and the Precalculus Algebra course data from Jacksonville State University in order to show how many hours in tutoring are needed to succeed with a desired grade in a course.
Keywords
student presentations, student papers, machine learning skills, regression
Rights
This video is the property of Jacksonville State University and is intended for non-commercial use. Video and images may be copied for personal use, research, teaching or any "fair use" as defined by copyright law. Users are asked to acknowledge Jacksonville State University. For more information, please contact digitalcommons@jsu.edu.
Disciplines
Algebra | Educational Methods
Recommended Citation
White, Christopher, "Analyzing Tutoring Data Using Regression" (2020). JSU Student Symposium 2020. 32.
https://digitalcommons.jsu.edu/ce_jsustudentsymp_2020/32
Presentation Information
White, C. (2020, 13 February). Analyzing tutoring data using regression. Paper presented at the 2020 JSU Student Symposium, Jacksonville State University, Jacksonville, AL.