Blended learning has been adopted in universities for over a decade. With the advantage of
combining online and offline learning contexts, blended learning enables a teacher to …

Contribution: This article explored blended learning by implementing a student-centered
teaching method based on the flipped classroom and small private online course (SPOC) …

Blended learning combines online digital resources with traditional classroom activities and
enables students to attain higher learning performance through well-defined interactive …

Learning outcomes can be predicted with machine learning algorithms that assess students'
online behavior data. However, there have been few generalized predictive models for a …

ABSTRACT A variety of studies to predict students' performance has been conducted since
educational data such as web-log files traced from Learning Management System (LMS) are …

This paper deals with the comparative analysis of prediction classifiers in the blended
learning environment. The model proposed in this paper predicts students' final grades …

Blended learning has become increasingly significant for college campus courses typically
since the COVID-19 pandemic outbreak. Analyzing and predicting students' learning …

Along with the spreading of online education, the importance of active support of students
involved in online learning processes has grown. The application of artificial intelligence in …

A variety of studies to predict students' performance have been conducted since educational
data such as web-log files traced from Learning Management System (LMS) are …

In this paper we apply data fusion approaches for predicting the final academic performance
of university students using multiple-source, multimodal data from blended learning …