Izvorni znanstveni članak
https://doi.org/10.2498/cit.1002645
Social Network Analysis on Educational Data Set in RDF Format
Bogdan Dragulescu
; Faculty of Electronics and Telecommunications, Politehnica University Timisoara, Timisoara, Romania
Marian Bucos
orcid.org/0000-0001-8205-6697
; Faculty of Electronics and Telecommunications, Politehnica University Timisoara, Timisoara, Romania
Radu Vasiu
; Faculty of Electronics and Telecommunications, Politehnica University Timisoara, Timisoara, Romania
Sažetak
The increased usage of information technologies in educational tasks resulted in high volume of data, exploited to build analytical systems that can provide practical insight in the learning process. In this paper, we propose a method of running social network analysis on multiple data sources (academic years, communication tools). To achieve this, the collected data that describe social interactions were converted into a common format by employing a prior developed semantic web educational ontology. Using a mapping language the relational data set was linked to the appropriate concepts defined in the ontology and then it was exported in RDF format. The means for SPARQL access was also provided. Subsequently, query patterns were defined for different social interactions in the educational platform. To prove the feasibility of this approach, Gephi tool set was used to run SNA (Social Network Analysis) on data obtained with the SPARQL queries. The added value of this research lies in the potential of this method to simplify running social network analysis on multiple data sets, on a specific course or the entire academic year, by simply modifying the query pattern.
Ključne riječi
social network analysis; learning analytics; semantic web; educational ontology
Hrčak ID:
144006
URI
Datum izdavanja:
1.9.2015.
Posjeta: 1.606 *