Learning style recognition is an indispensable part of achieving personalized learning in online learning systems. The traditional inventory method for learning style identification faces the limitations such as subject and static characteristics. Therefore, an automatic and reliable learning style recognition mechanism is designed in this…

Dating back to 1998, researchers established that adults learn differently than younger, recent high school graduates. Even with decades of research on the topic, approximately 39 million American adults have attended college but left school without obtaining a degree. The research questions addressed the purpose of this qualitative exploratory…

This embedded design mixed-method study aimed to evaluate the teaching materials developed by primary school teacher candidates using Web 2.0 tools in line with their learning styles. The participants comprised 60 primary school teacher candidates identified via purposive sampling. The data were collected with the Maggie McVay Lynch Learning Style…

During the COVID-19 pandemic period of almost two years, online teaching was adopted by Higher Educational Institutes (HEIs) mostly as an emergency measure to maintain endurance in teaching-learning activities in academics. Although a lot of research works have focussed on the teaching-learning strategies deployed during the pandemic period, the…

Learner-centered approaches have been found to be effective in online courses for encouraging a deep understanding of course content and for encouraging student engagement. Instructors of two information systems courses revised their online teaching methods to incorporate student choice in assignments. All assignments except a weekly quiz were…