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 …
AA Yahya, AA Sulaiman, AM Mashraqi, ZM Zaidan… - Applied Sciences, 2021 - mdpi.com
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 …
S Zhao - 2024 - scholarsarchive.library.albany.edu
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 …
Q Guo, Y Cui, JP Leighton, MW Chu - Handbook of Research on …, 2021 - igi-global.com
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 …