The problem of predicting students' performance has been recently tackled by using matrix
factorization, a popular method applied for collaborative filtering based recommender …

The prediction of the students' performance allows to improve the learning process using the
online campus tools. In this context, recommender systems are useful for prediction …

Abstract Models that accurately predict student performance can be useful tools for planning
educational interventions aimed at improving the results of the teaching-learning process …

This paper shows how to utilize collaborative filtering methods for student performance
prediction. These methods are often used in recommender systems. The basic idea of such …

Recommender systems are widely used in many areas, especially in e-commerce. Recently,
they are also applied in technology enhanced learning such as recommending resources …

A recommender system is a personalized information filtering technology, used to either
predict whether a target user will like a particular item (prediction problem), or to identify a …

Predicting students' performance is one of the most important topics for learning contexts
such as schools and universities, since it helps to design effective mechanisms that improve …

Recommender systems are widely used in many areas, especially in e-commerce. Recently,
they are also applied in e-learning for recommending learning objects (eg papers) to …

Researchers have been focusing on prediction of students' behavior for many years.
Different systems take advantages of such revealed information and try to attract, motivate …

We present our overall third ranking solution for the KDD Cup 2010 on educational data
mining. The goal of the competition was to predict a student's ability to answer questions …