LRMI markup of OER content within the BAEKTEL project

Authors: Stanković Ranka, Carlucci Daniela, Kitanović Olivera, Vulović Nikola, Zlatić Bojan
Year: 2015
Venue: The Sixth International Conference on e-Learning (eLearning-2015), September 2015, Belgrade, Serbia
Link: http://econference.metropolitan.ac.rs/files/pdf/2015/14-Ranka-StankovicDaniela-Carlucci-Olivera-Kitanovic-Nikola-Vulovic-Bojan-Zlatic-LRMI-markup-of-OER-content-within-the-BAEKTEL-project.pdf
Product of the Action: Yes

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Abstract:
This paper outlines the approach to tagging of OER content with metadata within the BAEKTEL project with the aim of increasing the discoverability of OER materials by potential users. The approach is based on the Learning Resource Metadata Initiative (LRMI), which makes it easier to publish, discover, and deliver quality educational resources on the web using standard schemas for HTML pages markup in ways recognized by major search providers: Google, Yahoo, Microsoft Bing. LRMI is proposed as an extension to the Schema.org metadata vocabulary addressing the needs of the educational community. The main rationale for the approach is that the choice of a standardized learning object metadata vocabulary has valuable and beneficial implications. Within the BAEKTEL platform, machine readable information is inserted into the code of web pages, which helps search engines interpret the sense of the text on those pages, but also other metadata on OER content according to LRMI.