The aim of the article is to study the prediction model of an individual learning style in e-
learning systems to enhance the effectiveness of dentistry education. In developing the …

This chapter describes a physiology-aware learning analytics framework that is aimed to
collect and analyze physiological data of learners. A pedagogical agent detecting learner's …

The clean water crisis, particularly drinking water, is an issue that is strongly tied to water
sustainability. The availability of disruptive technology that is cheaper and easy to use, such …

When the COVID-19 pandemic mandated the swift shift to fully online learning, it triggered
not only large-scale resistance but also upskilling and experimentation in order to meet the …

Although intelligent learning systems provide new opportunities for personalizing learning
activities, important design questions remain. To unleash the full impact of such systems, it is …

Abstract Massive Open Online Courses (MOOCs) have come to stay supported by the
development of educational technologies, and within them Language MOOCs (LMOOCs) …

Online courses have very high dropout rates worldwide. Learners are demotivated based on
bad learning experiences, lack of time, or motivation. While some factors of online courses …

Abstract Selbstbestimmtes Lernen mit Onlinekursen findet zunehmend mehr Akzeptanz in
unserer Gesellschaft. Lernende können mithilfe von Onlinekursen selbst festlegen, was sie …

Zum Begriff des Lernens existieren zahlreiche Theorien und Definitionen, es besteht jedoch
Einigkeit darüber, dass Lernen zu einer Verhaltensänderung führt und sowohl vom …

The goal of this paper is to introduce a new framework for fast and effective knowledge state
assessments in the context of personalized, skill-based online learning. We use knowledge …