Objectives & Topics

The workshop aims to be a highly interactive research forum for exploring the promises of the Web of Data in the broad area of learning by gathering researchers from the areas of the Semantic Web, Social Web, Technology Enhanced Learning (TEL), and Education. We will welcome high-quality papers about actual trends in (a) how education takes advantage of the Web of Data, especially through entity-centric technologies and (b) how principles for data sharing (Linked Data, embedded annotations etc.) can benefit educational contexts. We will seek application-oriented, as well as more theoretical papers and position papers in the following, non-exhaustive list of topics:

  • Linked data for informal learning and Web-based education
  • Using the Web of Data for personalisation and context-awareness in Web-based learning
  • Exploration of informal learning activities on the Web
  • Analytics of pattern and notions of learning in the Social Web
  • org and LRMI for annotating and exploring educational related Web content
  • Entity-centric approaches for analysing and understanding learning activities
  • Light-weight educational metadata schemas and vocabularies
  • Usability and advanced user interfaces in learning environments and linked data
  • Exposing learning objects to the Web of Data
  • Semantic & syntactic mappings between educational schemas and vocabularies
  • Controlled vocabularies, ontologies and terminologies for Web-based learning
  • Learning flows and designs with Semantic Web technologies
  • Linked Data in learning analytics and educational data mining
  • Visual analytics of educational data
  • Linked Data and Microdata/RDFa in organizational learning and learning organizations
  • Linked Data for harmonizing individual learning goals and organizational objectives
  • Analysing & understanding competencies and skills through Linked Data and knowledge graphs
  • Collaborative learning on the Web of Data
  • Linked Data enhanced social learning