Search and Selection of Learning Objects in Repositories: A Review

Abstract

This article aims to present a review of the academic literature on the search for learning objects in repositories of the last ten years. To carry it out, first, it defined a methodology for the search and selection of the papers to be included in this study. Then, the bibliographic databases Web of Science, Scopus, and Google Scholar for the implementation of the methodology were used. Next, based on the selected documents, three strategies for the search of learning objects were characterized, such as classic by keywords, full-text search, and hybrids. In this sense, hybrid solutions that use multiple integrated strategies have been gaining importance. Finally, it was verified that the methodology used to determine the papers of the review was adequate and allowed an approach to the state of the art in this topic.