In this paper, we present a regression model to predict students' midterm and final
examinations by using student interaction history from course's online system. The …

The early detection of students' academic performance or final grades helps instructors
prepare their online courses. In the Open University Learning Analytics Dataset, I found …

The absence of face-to-face interaction between instructors and students in online courses
has been the focus of discussion in many research papers. To compensate for this defect …

One of the current research hotspots in educational data mining is to predict their online
academic performance. The prediction results can provide personalized guidance for …

Students' success is the ultimate goal of any institution around the world. Early detection of
at-risk students can facilitate the instructor or tutor to provide timely support to those at risk of …

In recent years, with the continuous improvement of teaching informatization, online
teaching or online and offline hybrid teaching has become the new normal of teaching in …

To study the correlation between student behavior and performance, we propose using high-
level behavior features and a random forest algorithm. Considering a course with 10 …

Under the background of big data era, with the rapid development of information technology
and the large-scale application of artificial intelligence and cloud computing and other …

Educational data mining is widely deployed to extract valuable information and patterns from
academic data. This research explores new features that can help predict the future …

While modelling students' learning behavior or preferences has been found as a crucial
indicator for their course achievement, very few studies have considered it in predicting …