Search Results for author:
Found 2 papers, 0 papers with code
Domain Adaptation for Real-Time Student Performance Prediction
Increasingly fast development and update cycle of online course contents, and diverse demographics of students in each online classroom, make student performance prediction in real-time (before the course finishes) and/or on curriculum without specific historical performance data available interesting topics for both industrial research and practical needs.
GritNet: Student Performance Prediction with Deep Learning
Student performance prediction - where a machine forecasts the future performance of students as they interact with online coursework - is a challenging problem.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
