Due to increase in complexity of modelling human behaviour in virtual environment,
traditional or conventional didactic learning is limited in providing flexible or dynamic e …

This study developed an adaptive web-based learning system focusing on students'
cognitive styles. The system is composed of a student model and an adaptation model. It …

This study examined how knowledge of metacognitive strategies and navigation skills
mediate the relationship between online reading activities and printed reading assessment …

Abstract Educational Data Mining is a new growing research area that can be defined as the
application of data mining techniques on raw data from educational systems in order to …

The empirical study investigates what log files and process mining can contribute to
promoting successful learning. We want to show how monitoring and evaluation of learning …

Adaptive systems refer to autonomous interactive systems that adjust their behavior and
functionality to environmental changes. In e-learning context, adaptive e-learning systems …

Providing adaptive support to users engaged in learning tasks is the central focus of
intelligent tutoring systems. There is evidence that female and male users may benefit …

To meet increasing needs in the field of maintenance, we studied the dynamic aspect of
process and services on a maintenance platform, a major challenge in process mining and …

We examined the role of learner characteristics as predictors of four aspects of e-learning
performance, including knowledge test performance, learning confidence, learning …

This article examines the characteristics and challenges of online instruction and presents a
model for improving learner adaptation in an online classroom. Instruction in an online …