Data set SLR Users' Profiling Strategies (2017-2023)

Abstract

Dataset for a Systematic Literature Review on profiling strategies applied to e-learning. In recent years adaptive learning has become a diversity-inclusion-relevant approach. They bring several benefits to learners in the role of digital platform users, related to the user experience, but primarily in the learning process optimization. It aims to provide mediation, tailored content, and adequate channels for users´ capabilities and learning styles. The OpenEdR4C is a digital open educational platform conceived to scale up complex reasoning in Higher Education students and Lifelong learners. The platform addresses five types of learning barriers, considering sensory limitations, learning styles, socio-demographic and socio-economic context, and some types of neurodiversity. All these considerations demand a dynamic and assertive user profiling strategy to offer effective adaptive learning experiences. This dataset was applied to a Systematic Literature Review of user profiling strategies published in the last five years in SCOPUS and Web of Science databases.