Deciphering Meaning from Text in Deep Learning Analysis

ID: 53399 Type: Full Paper
  1. Kerry Rice, Andy Hung, and Jennifer Kepka, Boise State University, United States

Tuesday, October 16 10:15-10:45 AM Location: Las Vegas Ballroom 4 View on map

Presider: Alexa Cevallos, University of North Texas, United States

Abstract: Researchers will present findings from an educational data mining study incorporating both deep learning and text-mining of asynchronous forum posts from a K-12 virtual learning environment. Findings suggest that the inclusion of textual content improved the overall predictive accuracy in identifying at-risk students. However, there were challenges in deciphering the meaning behind the predictive text features. Results and future directions for research inquiry will be shared.

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