A personalized e-learning system is effective in imparting enhanced learning to its users. As
compared to a conventional e-learning system, which provides similar contents to each …

This systematic review of research on adaptive learning used a strategic search process to
synthesize research on adaptive learning based on publication trends, instructional context …

Adaptive e-learning is viewed as stimulation to support learning and improve student
engagement, so designing appropriate adaptive e-learning environments contributes to …

An adaptive learning environment provides personalised information to the learner through
self-directed study. An adaptive learning environment model can be subdivided into a …

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 …

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

Due to the effects of the COVID-19 crisis on educational institutions, schools had to close
and switch to online education. Training in-service teachers to incorporate and utilize …

Learning styles are critical to educational psychology, especially when investigating various
contextual factors that interact with individual learning styles. Drawing upon Biglan's …

Adaptive learning is a teaching approach aiming to personalize the learning experience for
each student. In Computer Science Education (CSE), Adaptive Learning Systems (ALS) can …

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 …