[publication] Dashboard zur Verfolgung von Lernaktivitäten in einer personalisierten Lernumgebung mittels semantischer Modellierung der Benutzerdaten

Unser Beitrag zu „Dashboard zur Verfolgung von Lernaktivitäten in einer personalisierten Lernumgebung mittels semantischer Modellierung der Benutzerdaten“ beim 10. Forschungsforum der Österreichischen Fachhochschulen ist nun online verfügbar.

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.

[Full Beitrag auf ResearchGate]

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

[poster] Linked Data Driven Visual Analytics for Tracking Learners in a PLE #research

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.

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.

[Link to full article]

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

[publication] The Future of PLEs: How Can Higher Education Be Passed?

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

[publication] Monitoring Learning Activities in PLE UsingSemantic Modelling of Learner Behaviour

At this year SouthCHI conference in Maribor we published a contribution titled „Monitoring Learning Activities in PLE Using Semantic Modelling of Learner Behaviour„.

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

[workshop] Learning Management Systeme und Personal Learning Environment

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.

VORMITTAG: Learning Management Systeme

NACHMITTAG: Personal Learning Environment

Als weiterführende Literatur wird das Lehrbuch für Lernen und Lehren mit Technologien empfohlen mit den entsprechenden Kapiteln.
Zur Info für Nicht-Teilnehmer/innen: Es handelt sich um einen ganztägigen Workshop.

[publication] Personal Learning Environment

Im Handbuch E-Learning haben wir einen Praxisbeitrag zur Personal Learning Environment an der TU Graz geschrieben: https://my.tugraz.at

Die Lernumgebungen der Zukunft sollen sich den Bedürfnissen der einzelnen Lernenden anpassen. Personal Learning Environments sind personalisierbare Umgebungen, in welchen Lernende Unterstützung für ihre individuelle (Lern-) Bedürfnisse vorfinden.

Zitation: Taraghi, B.; Ebner, M. (2012). Personal Learning Environment. In K. Wilbers & A. Hohenstein (Hrsg.), Handbuch E-Learning. Expertenwissen aus Wissenschaft und Praxis – Strategien, Instrumente, Fallstudien. Köln: Deutscher Wirtschaftsdienst (Wolters Kluwer Deutschland), 43. Erg.-Lfg. August 2012. pp 1-4.

[publication] Personal Learning Environment – Generation 2.0

Our third publication at this year ED-Media Confernece in Denver, USA is now online available. We described the newest research outcomes of our Personal Learning Environment. The slides of the talk are already published here.

Teaching and learning efforts at universities has been dominated by Learning Management Systems since years now. At the same time the so-called Web 2.0 technologies arise and assist teachers as well as learners through communication or collaborating with each other. Furthermore new web technologies like mashups or new devices like smartphones allow us to work with the World Web Web from anywhere at anytime. In this publication a so-called Personal Learning Environment (PLE) is introduced which was launched at Graz University of Technology for the first time in 2010. After a prototype phase a complete redesign was carried out to improve usability and in that way better fit user ́s needs. With the help of metaphor-like terms such as “spaces” and apps the interface became quite easy to work with and fulfilled the change towards learner-centered framework. This paper outlines the cornerstones of the PLE development and its redesign as well as first evaluation data in relation to the focus that the learning environment of tomorrow has to integrate Web services as well as university wide services in an easy and understandable way to become a real Personal Learning Environment.

Reference: Targhi, B., Ebner, M. & Kroell, C. (2012). Personal Learning Environment – Generation 2.0. In Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2012 (pp. 1828-1835). Chesapeake, VA: AACE.