Students Online Learning Performance Prediction based on the Recurrent Neural Network Inferred Logistic Regression

• In Event: Artificial Intelligence in Educational Contexts

Short Description

In this presentation, we will discuss a new proposed algorithm which combines the machine learning and deep learning methods to predict the student final performances as well as identify the at-risk students at an early stage. Then, the key factors that significantly influence the student performances identified by the proposed algorithm will be evaluated and discussed. Finally, the performances and transferability of the proposed algorithm will be discussed with the audience.

Authors

• Contributor: Bo Pei, University of Florida

• Contributor: kai zhou, College of Information and Computer,Taiyuan University of Technology

• Presenter: Wanli Xing, University of Florida

• Contributor: yan qiang, College of Information and Computer,Taiyuan University of Technology