Tag Archives: ecetel papers

3 publications in ECETEL from the Layers project

ECTEL was really competitivve this year, it has received 176 valid submissions, out of which 27 were accepted as full papers, 19 as short papers, 13 as demos and 33 as posters. 131 Full Papers were submitted – so this makes an acceptance rate of 20,6% for full papers, and 35% for full papers plus short papers.

  • From them we’ve had a poster-Paper accepted: Ruiz-Calleja, A., Dennerlein, S., Tomberg, V., Pata, K., Ley, T., Theiler, D. & Lex, E. (2015). Supporting learning analytics for informal workplace learning with a social semantic infrastructure. In Proceedings of the European Conference on Technology Enhanced Learning, Springer International Publishing (in press).
  • We present KnowBrain, an open source Dropbox-like knowledge repository with social and collaborative learning features for informal workplace learning. KnowBrain enables users (i) to share and collaboratively structure knowledge, (ii) to access knowledge via sophisticated content- and metadata-based search and recommendation mechanisms, and (iii) to discuss artefacts by means of multimedia-enriched question-answer. As such, KnowBrain can support, integrate and foster various collaborative learning processes related to daily work-tasks by leveraging and improving inherent meaning making processes.
  • Demo-Paper: Dennerlein, S., Theiler, D., Marton, P., Santos Rodriguez, P., Cook, J., Lindstaedt, S. & Lex, E. (2015). KnowBrain: An Online Social Knowledge Repository for Informal Workplace Learning. In Proceedings of the European Conference on Technology Enhanced Learning, Springer International Publishing (in press). This paper presents the potential of a social semantic infrastructure that implements an Actor Artifact Network (AAN) to support learning analytics at the workplace. It presents a such infrastructure and two example applications that make use of it. A preliminary evaluation with end users shows that the infrastructure is able to create an AAN out of the data and artifacts created by both applications, thus opening the possibility to implement learning analytics at the workplace.