A brief overview of quality inside learning object repositories

Cristian Cechinel, Xavier Ochoa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 15th International Conference on Human Computer Interaction, INTERACCION 2014
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450328807
DOIs
StatePublished - Sep 10 2014
Event15th International Conference on Human Computer Interaction, INTERACCION 2014 - Puerto de la Cruz, Tenerife, Spain
Duration: Sep 10 2014Sep 12 2014

Publication series

NameACM International Conference Proceeding Series
Volume10-12-September-2014

Other

Other15th International Conference on Human Computer Interaction, INTERACCION 2014
CountrySpain
CityPuerto de la Cruz, Tenerife
Period9/10/149/12/14

Keywords

  • Evaluation
  • Evaluative metadata
  • Learning object repositories
  • Quality assessment
  • Ratings

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Cechinel, C., & Ochoa, X. (2014). A brief overview of quality inside learning object repositories. In Proceedings of the 15th International Conference on Human Computer Interaction, INTERACCION 2014 [a83] (ACM International Conference Proceeding Series; Vol. 10-12-September-2014). Association for Computing Machinery. https://doi.org/10.1145/2662253.2662336