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Pre and Post Survey-Based Prediction of Results from Student Characteristics
2015 North Dakota EPSCoR Conference (2015)
  • Jared Estad
  • Michael Kuehn
  • Jeremy Straub
  • Eunjin Kim
Abstract

This study was created to compare a large data set of students class surveys. In this data set, there exist both pre- and post-survey data. A set of knowledge based questions exist at the end of the survey. Our intention is to use the other data with in each survey to predict based on a singular set of pre-survey data a students potential for success throughout the course. As such, we need to account for data on the pre-survey and its knowledge based questions. Then, we need to account for how this data may interact with the data on the post-survey. Questions are almost the same pre-survey to post-survey, the only difference appears in the verb tenses of the post-survey questions to account for a student completing the course. As such we largely ig-nore this small difference; instead we consider how the data changes and what affect this has on the student’s success in the course.

Keywords
  • Pre and Post Survey-Based Prediction,
  • Results,
  • Student Characteristics
Publication Date
April 22, 2015
Citation Information
Jared Estad, Michael Kuehn, Jeremy Straub and Eunjin Kim. "Pre and Post Survey-Based Prediction of Results from Student Characteristics" 2015 North Dakota EPSCoR Conference (2015)
Available at: http://works.bepress.com/jeremy_straub/276/