Review of monitoring tools for e-learning platforms

TL;DR

This paper reviews various monitoring tools for e-learning platforms, emphasizing the importance of tracking learner activities and performance to enhance personalized learning experiences.

Contribution

It provides a comprehensive analysis of monitoring tools and discusses the role of model-driven personalization in improving e-learning effectiveness.

Findings

Monitoring tools enable better tracking of learner progress

Personalization support improves learning outcomes

Integrated learning paths enhance system adaptability

Abstract

The advancement of e-learning technologies has made it viable for developments in education and technology to be combined in order to fulfil educational needs worldwide. E-learning consists of informal learning approaches and emerging technologies to support the delivery of learning skills, materials, collaboration and knowledge sharing. E-learning is a holistic approach that covers a wide range of courses, technologies and infrastructures to provide an effective learning environment. The Learning Management System (LMS) is the core of the entire e-learning process along with technology, content, and services. This paper investigates the role of model-driven personalisation support modalities in providing enhanced levels of learning and trusted assimilation in an e-learning delivery context. We present an analysis of the impact of an integrated learning path that an e-learning system may employ to track activities and evaluate the performance of learners.