Software Architecture for Personalized Learning Systems: A Systematic Literature Review-Camera Ready Version

Abstract

In recent times e-learning systems have emerged as an essential asset for all institutions and learning processes. As in this era, a wider range of people and institutions are moving towards the personal e-learning system for the feasibility in the education area. Personalization of learning systems holds a significant advantage over traditional methodologies. Such learning systems are known for offering a learning solution for large classes of diverse backgrounds, attitudes, and learning needs. Various concepts and studies have been discussed regarding personalized learning models and frameworks. Educational systems seek to benefit traditional learning environments by personalized learning styles and foster effective, active, and satisfactory learning. This research evaluates software architectures for personalized learning systems that have been discussed in literary studies in the last 10 years (2010–2020). In particular, the research identifies main areas that include, i) how traditional learning’s lack in offering current learning needs, and ii) how personalized learning platforms could be a solution. To obtain this purpose systematic literature review is done to evaluate proposed Personalized learning platforms and what results they have yielded in educational settings.