Prediction of student performance in introductory programming courses can assist struggling
students and improve their persistence. On the other hand, it is important for the prediction to …

Individual differences have been recognized as an important factor in the learning process.
However, there are few successes in using known dimensions of individual differences in …

Educational data mining research has demonstrated that the large volume of learning data
collected by modern e-learning systems could be used to recognize student behavior …

In outcome-based academic programs, Program Education Objects (PEOs) are the key
pillars on which program components are built. They are articulated linguistically as broad …

Recent studies of student problem-solving behavior have shown stable behavior patterns
within student groups. In this work, we study patterns of student behavior in a richer self …

Die deutschsprachige Gemeinschaft in Belgien (DG) hatte an der Primar-und Sekundarstufe
1 die Erfahrung gemacht, dass der angezielte Paradigmenwechsel hin zu …

Online education systems have grown in popularity over the past few years, providing
abundant opportunities for students to learn. As the number of students using these systems …

The goal of this dissertation is to examine factors such as how a student chooses to engage
with the online platform and time spent on individual tasks and draw conclusions to improve …

Online behaviors analysis consists of extracting patterns from server-logs. The works
presented here were carried out within the" mBook" project which aimed to develop …

Digital technology has profound impacts on modern education. Digital technology not only
greatly improves access to quality education, but it also can automatically save all the …