In dieser Arbeit werden die erforderlichen Maßnahmen und Schritte zur Umsetzung einer visual-analytischen Plattform in Form eines Dashboards zum Zweck der Analyse und Visualisierung von Informationen sowie der Verfolgung von Lernaktivitäten in der eigens entwickelten Lernumgebung namens Personal Learning Environment (PLE) vorgestellt. Darüberhinaus präsentieren wir einen neuartigen Semantic Web orientierten Ansatz zur Modellierung der Lernaktivitäten und tätigkeitsbezogener Zusammenhänge unter Zuhilfenahme entsprechender Ontologien.
Referenz: Softic, S., Ebner, M., Taraghi, B. (2016) Dashboard zur Verfolgung von Lernaktivitäten in einer personalisierten Lernumgebung mittels semantischer Modellierung der Benutzerdaten. 10. Forschungsforum der Österreichischen Fachhochschulen, BFI Wien, S.1-6
Our poster description about “Linked Data Driven Visual Analytics for Tracking Learners in a PLE” at this year DeLFI conference 2015 is now online available. Abstract:
In this work we introduce necessary steps and planned actions for implementation of analytical application with purpose on analyzing and visualizing information gathered by tracking user behavior and actions in our educational system called Personal Learning Environment (PLE). Furthermore we present a novel Semantic Web driven approach, for modeling of learning and activity based context using eligible domain specific ontologies, as well as for retrieving modeled data depending on the value of interests demonstrated by learner himself. We intend on closing the learning analytic cycle [Clo12] for PLE and for that purpose we are defining the requirements and implementation steps of analytic dashboard which shall give us necessary knowledge for improvement.
Reference: Salkic, S., Softic., S., Taraghi, B., Ebner, M. (2015) Linked Data Driven Visual Analytics for Tracking Learners in a PLE. In: Conference Proceeding of DeLFI. Pongratz, H. & Keil, R. Köllen Druck + Verlag GmbH. pp. 329 – 331
I was invited to make some comments to a specific chapter of the book as well as bringing in my expertise on Personal Learning Environments. Now the whole book “Responsive Open Learning Environments” is published as Open Access.
My short comment is titled “The Future of PLEs: How Can Higher Education Be Passed?”:
Reference: Ebner, M. (2015) The Future of PLEs: How Can Higher Education Be Passed?. In: Responsive Open Learning Environments. Kroop, S.; Mikroyannidis, A.; Wolpers, M. (Ed.). Springer, Heidelberg. pp. 228-23
At this year SouthCHI conference in Maribor we published a contribution titled “Monitoring Learning Activities in PLE Using Semantic Modelling of Learner Behaviour“. Abstract:
n this paper we report about the reflection of learning activities and revealing hidden information based on tracked user behaviour in our widget based PLE (Personal Learning Environment) at Graz University of Technology. Our reference data set includes information of more then 4000 active learners logs for a period of around two years. For the purpose of trend tracking and analytics collected logs have been used to model activity and usage traces with domain specific ontologies like Activity Ontology and Learning Context Ontology which have been created within the IntelLEO EU project. Generally we distinguish three different metrics: user centric, learning object (widget) centric and activity centric. We used Semantic Web query languages like SPARQL and representation formats like RDF to implement a human and machine readable web service along with a learning analytics dashboard for metrics visualization. The results o↵er a quick overview of learning habits, preferred set-ups of learning objects (widgets) and overall reflection of usages and activity dynamics in the PLE platform over time. The architecture delivers insights for intervening and recommending as closure of a learning analytics cycle with aim to optimize confidence in the PLE.
Reference: Selver, S.; Tarahi, B.; Ebner, M.; De Vocht, L.;Mannens, E. & Van De Walle, R. (2013) Monitoring Learning Activities in PLE Using SemanticModelling of Learner Behaviour. In: Human Factors in Computing and Informatis. Holzinger, A.;Ziefle, M.; Hitz, M & Debevc, M. (Ed.). Springer. Berlin, Heidelberg. p. 74-90
Our publication at this year ED-Media Conference in Victoria, Canada about “Learning Activities in Personal Learning Environment” is now online available. Abstract:
Nowadays Learning Management Systems are an integrated part of educational institutions. Teachers as well as learners profit from the so-called Web 2.0 applications in their daily learning process. Communication and collaboration between students have been enhanced using mashups of Web 2.0 technologies. Smart mobile phones and the increased availability of free wireless network access points make the integration of all these tools in our personal daily life and personal learning process much easier than before. This publication focuses on the Personal Learning Environment (PLE) that was launched at Graz University of Technology (TU Graz) in 2010. It illustrates how the PLE at TU Graz has been extended to move towards mobile PLE. Furthermore the learning activities of about more than 4000 learners in the last two years are revealed based on the tracked user behavior. The activities and usage traces are modeled using domain specific semantic ontologies. The models are used as the input for our Analytics Dashboard to visualize statistics and get a quick overview of learning habits and overall reflection usages and activity dynamics in the PLE.
Reference:Taraghi, B., Softic, S., Ebner, M. & De Vocht, L. (2013). Learning Activities in Personal Learning Environment. In Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2013 (pp. 2466-2475). Chesapeake, VA: AACE.
Im Rahmen des CAS eLearning Zertifikatkurses darf ich das Modul “Learning Managment System und Personal Learning Environment” abhalten. Die dafür notwendigen Unterlagen sind hier nochmals übersichtlich dargestellt.