Learning object analytics for collections, repositories & federations

Miguel Angel Sicilia, Xavier Ochoa, Giannis Stoitsis, Joris Klerkx

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

Abstract

A large number of curated digital collections containing learning resources of a various kind has emerged in the last year. These include referatories containing descriptions for resources in the Web (as MERLOT), aggregated collections (as Organic.Edunet), concrete initiatives as Khan Academy, repositories hosting and versioning modular content (as Connexions) and meta-aggregators (as Globe and Learning Registry). Also, OpenCourseware and other OER initiatives have contributed to making this ecosystem of resources richer. Very interesting insights can be extracted when studying the usage and social data that are produced within the learning collections, repositories and federations. At the same time, concerns for the quality and sustainability of these collections have been raised, which has lead to research on quality measurement and metrics. The Workshop attempts to bring studies and demonstrations for any kind of analysis done on learning resource collections, from an interdisciplinary perspective. We consider digital collections not as merely IT deployments but as social systems with contributors, owners, evaluators and users forming patterns of interactions on top of portals or through search systems embedded in other learning technology components. This is in coherence of considering these social systems under a Web Science approach (http://webscience.org/).

Original languageEnglish (US)
Title of host publicationLAK 2013
Subtitle of host publication3rd International Conference on Learning Analytics and Knowledge
Pages285-286
Number of pages2
DOIs
StatePublished - Apr 26 2013
Event3rd International Conference on Learning Analytics and Knowledge, LAK 2013 - Leuven, Belgium
Duration: Apr 8 2013Apr 12 2013

Publication series

NameACM International Conference Proceeding Series

Other

Other3rd International Conference on Learning Analytics and Knowledge, LAK 2013
CountryBelgium
CityLeuven
Period4/8/134/12/13

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Keywords

  • analytics
  • learning repositories
  • metadata
  • social data

ASJC Scopus subject areas

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

Cite this

Sicilia, M. A., Ochoa, X., Stoitsis, G., & Klerkx, J. (2013). Learning object analytics for collections, repositories & federations. In LAK 2013: 3rd International Conference on Learning Analytics and Knowledge (pp. 285-286). (ACM International Conference Proceeding Series). https://doi.org/10.1145/2460296.2460359