Moreover, the application field of LORs provides a unique opportunity to investigate whether the evolution of tag vocabulary is affected by the different educational resources (LO) types hosted in LORs, namely images, videos, references and readings, simulations, as well as teachers' guides and lesson plans.
The evolution of tag vocabulary in terms of tag growth was higher for LO types with higher interactivity and semantic density (such as simulations, videos and lesson plans) compared to other LO types with low interactivity and low semantic density (such as texts, questionnaires and images).
We simulate the evolution of a domain vocabulary in small communities.
Perform a more granulated investigation of the evolution of the tag vocabulary, in terms of different LO types accommodated in the LOR.
Our study complements and extends the study of Vuorikari & Ochoa (2009) by: (a) applying additional tag metrics for analyzing the evolution of the tag vocabulary in an interrelated manner towards drawing insights about the tagging behavior of the users of a social tagging system applied in a specific LOR and (b) investigating the evolution of the tag vocabulary for different LO types.
Next, we discuss existing works that are relevant to the scope of our study and mainly focus on analyzing and studying the behavior of social tagging systems and the evolution of the tag vocabulary.
Makani & Spiteri (2010) selected three metrics proposed by Farooq et al. (2007), namely tag growth, tag reuse, and tag discrimination, to examine the evolution of the tag vocabulary of the knowledge management community of interest in CiteULike.
Further to that, we propose how these main tag metrics could be interpreted and combined with other metrics, so as to be able to provide meaningful insights about the evolution of the tag vocabulary of a LO social tagging system.
Background discusses the concept of social tagging, its expected benefits and provides an overview of related studies that investigate the dynamics of social tagging systems with an emphasis on the analysis of the evolution of the tag vocabulary, both within LORs as well as in repositories outside TeL.
The paper used the OSR Repository as a case study and combined the results of the tag metrics in order to generate deeper insights about the tagging behavior of the social tagging system users and (b) Perform a more granulated investigation of the evolution of the tag vocabulary, in terms of different LO types accommodated in the LOR. .
