Learning analytics at large: the lifelong learning network of 160,000 European teachers

  • Authors:
  • Ergang Song;Zinayida Petrushyna;Yiwei Cao;Ralf Klamma

  • Affiliations:
  • Information Systems & Databases, RWTH Aachen University;Information Systems & Databases, RWTH Aachen University;Information Systems & Databases, RWTH Aachen University;Information Systems & Databases, RWTH Aachen University

  • Venue:
  • EC-TEL'11 Proceedings of the 6th European conference on Technology enhanced learning: towards ubiquitous learning
  • Year:
  • 2011

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Abstract

Until now, eTwinning supports 160,000 European teachers is their continuous professional development (CPD). Only computational tools of learning analytics at large like social network analysis and performance measurements are offering deep insight into competence development in the anonymous data sets from the eTwinning database. To this end, we have developed CAfe, a learning analytics tool for eTwinning data. After getting an identification number, teachers can monitor their performance in eTwinning with CAfe. Teachers may also draw conclusions and gain insight into their competences and their continuous professional development. We evaluated CAfe with teachers in eTwinning workshops in Germany.