Ryusuke Murata, Fumiya Okubo, Tsubasa Minematsu, Yuta Taniguchi, Atsushi Shimada Recurrent Neural Network-FitNets: Improving Early Prediction of Student Performance by Time-Series Knowledge Distillation
Journal of Educational Computing Research, 2022.10 BibTeX
国際会議 (査読有)
Ryusuke Murata, Fumiya Okubo, Tsubasa Minematsu, Yuta Taniguchi, Atsushi Shimada New Perspective on Input Feature Analysis for Early Feedback by Student Performance Prediction Considering the Future Effect
The 12th Internal Learning Analytics and Knowledge Conference, 2022.03 BibTeX
Ryusuke Murata, Tsubasa Minematsu, Atsushi Shimada Early Detection of At-risk Students based on Knowledge Distillation RNN Models
Educational Data Mining 2021, 2021.06 BibTeX
Ryusuke Murata, Tsubasa Minematsu, Atsushi Shimada OpenLA: Library for Efficient E book Log Analysis and Accelerating Learning Analytics
The 28th International Conference on Computers in Education, 2020.11 BibTeX
Ryusuke Murata, Tsubasa Minematsu, Atsushi Shimada OpenLA: An Open-Sourse Library for e-Book Log Analytics
The 2nd Workshop on Predicting Performance Based on the Analysis of Reading Behavior (LAK20 Data Challenge) , 2020.03 BibTeX
Ryusuke Murata, Tsubasa Minematsu, Atsushi Shimada Score Prediction Based on Page Feature Clustering
The 2nd Workshop on Predicting Performance Based on the Analysis of Reading Behavior (LAK20 Data Challenge) , 2020.03 BibTeX