The constantly growing offering of online learning materials to students is making it more
difficult to locate specific information from data pools. Personalization systems attempt to …

The integration of AI in education, particularly in adaptive learning, emphasizes the critical
need for automatic detection of individual learning styles. Traditional methods such as tests …

Learning style plays a vital role in helping students retain learned concepts for a longer time
and also improves the understanding of the concepts. Learning styles in offline and online …

Investigating learner behavior is an increasingly important research topic in online learning.
Learning styles and cognitive traits have been the subjects of research in this area. Although …

Rapid growth and recent developments in education sector and information technologies
have promoted E-learning and collaborative sessions among the learning communities and …

Artificial intelligence (AI) approaches have been used in personalised adaptive education
systems to overcome the limitations of statically determined learning styles (LSs). These …

Abstract In E-Learning Systems, the automatic detection of the learners' learning styles
provides a concrete way for instructors to personalize the learning to be made available to …

The implementation of an efficient adaptive e-learning system requires the construction of an
effective student model that represents the student's characteristics, among those …

Background Patient safety incidents are commonly observed in critical and high demanding
care settings, including the emergency department. There is a need to understand what …

Massive online open course (MOOC) platform generates a large amount of data, which
provides many opportunities for studying the behaviors of learners. In parallel, recent …