A brief overview of quality inside learning object repositories

Assessing quality of learning objects (LOs) is a difficult and complex task that normally revolves around multiples and different aspects that need to be addressed. Nowadays, quality assessment of LOs inside repositories is based on the information provided by the same community of users and experts that use such platforms. These kinds of information are known as evaluative metadata and constitute a value body of knowledge about Los that is normally used inside the repositories during the process of searching and retrieving. The present work aims to present a brief overview about how LOs quality is being assessed inside some of the most important repositories existent nowadays, as well as some limitations of these existing approaches.