Learning Style identification and usage in academia: A systematic mapping

Resumo

This article presents a systematic mapping, done with 111 works, inregards to Learning Style identification and usage. This work seeks to createa starting point for those who are starting to work on these research fields,showing new possible paths of research, by pointing the most used and unusedapproaches of research, and to help those seeking to use Learning Styles infinding the necessary tools for the job. The results show the predominance ofthe Felder-Silverman Learning Style Model, of the IEEE-LOM learning objectmetadata model, the high amount of works focusing on personal solutions withnon-automatic detection and adaptation models, the small amounts of works thatfocus on automatic classification and generic/multi-use learning tools and a setof tools in usage, along with their availability, for the application of LearningStyles.