New LeMo version 1.5

After a time of hard work, a new version of LeMo is available. These are the main features of the LeMo release 1.5:

  • New datamodel to simplify the integration of your data
  • New analyses: apriori pattern mining and calendar heatmap
  • Continuous coloring of content makes learning objects more recognizable within different analyses
  • Authenticate users using your LDAP
  • Thanks to the new Derby database, you can start LeMo without further configuration
  • Revised visualizations
  • New filter settings

More informations about the potential of LeMo 1.5 can be found here.

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DeLFI 2014

Learning Analytics was one of the topics of this year’s E-Learning conference (Gesellschaft für Informatik) in Freiburg. Agathe Merceron and Albrecht Fortenbacher presented a poster, which showed our experiences with the tool LeMo for teaching, and a first evaluation of LeMo.

Two papers were presented on the Pre-Conference Workshop “Learning Analytics”: a generic data model for learning analytics, which adopts concepts from the MoocDB initiative, and a case study, where learning paths in a blended-learning setting are verified by frequent-paths analysis of lemo.

The three papers can be found here.

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LeMo at the VFH-Symposium in Lübeck, Germany

The annual symposium of the “VFH Virtuelle FachHochschule” (Virtual University of Applied Sciences) took place on June 19-20, 2014  in Lübeck, Germany. During her talk “Learning Analytics and Visualisation with LeMo” Agathe Merceron demonstrated how LeMo can support teachers to check the impact of their teaching methods. As an example, she took a course which followed the flipped classroom concept. The teacher could investigate relations between quizzes solved at home and tests solved in class.

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LeMo at LAK14 – Workshop CLA

The tool LeMo was presented at the workshop “Computational Approaches to Connecting Levels of Analysis in Networked Learning Communities” on March 24, 2014 in Indianapolis / USA by Agathe Merceron. The workshop was co-located with the international conference Learning Analytics and Knowledge (LAK) 2014. A unique feature of LeMo is the visualisation of user paths through learning objects. Participants found this feature particularly interesting.

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New LeMo download package

Within the new download package you can find a version of the LeMo application that can be used for testing purposes on a local mashine. Since the required server (Jetty) is included in the package, it can be set up quickly. Of course, you can as well find all the files requested for an installation of LeMo in a production environment within the package.

We are currently working on a new release of the LeMo tool that will be available soon.

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Workshop on Learning Analytics at University of Potsdam

On the 27th of January, 2014, an interesting workshop on learning analytics took place at the university of potsdam, with three talks

  • M. Erdmann: Evaluation of courses at the University of Potsdam – present state and plans for the future
  • M. A. Chatti: A reference model for learning analytics
  • A. Fortenbacher: can the LeMo tool help bringing learning analytics to universities?

and with a lot of discussions on promises, limitations, necessary infrastructure und privacy issues of learning analytics.

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LEARNTEC 2014

LeMo will be presented at the 22th Learntec (www.learntec.de):

Learning Analytics and Visualisation with LeMo

Margarita Elkina, Albrecht Fortenbacher, Agathe Merceron

The talk will be given on February 4 at 4 pm in K8/9.

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IDAACS’2013

LeMo: a Learning Analytics Application
Focussing on User Path Analysis and Interactive
Visualization

Liane Beuster, Margarita Elkina, Albrecht Fortenbacher, Leonard Kappe,
Agathe Merceron, Andreas Pursian, Sebastian Schwarzrock, Boris Wenzlaff

Abstract: LeMo is the prototype of an application
for learning analytics, which collects data about learners’
activities from different learning platforms. The article
describes design principles of LeMo and their implications
for efficient learning analytics. Focus is on the LeMo system
architecture, user path analysis by algorithms of sequential
pattern mining, and visualization of learners’ activities.

The 7th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Application (IDAACS’2013)

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DeLFI 2013 Workshop Learning Analytics

Learning Analytics and Forums

Agathe Merceron, Margarita Elkina, Albrecht Fortenbacher

Abstract: Dieser Beitrag reflektiert über den Einsatz von Learning Analytics für die Analyse von Foren. Nach einer Darstellung der Herausforderungen werden exemplarisch Arbeiten vorgestellt, welche die Vielfalt von Learning Analytics für Foren sowohl in den Zielen als auch in den Methoden zeigen. Fragestellungen aus der Praxis (Bildungsanbieter) unterstreichen die Wichtigkeit dieser Thematik.

DeLFI 2013

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DeLFI2013

Learning Analytics and Visualisation with LeMo-Tool

Liane Beuster, Margarita Elkina, Albrecht Fortenbacher, Leonard Kappe,
Agathe Merceron, Andreas Pursian, Sebastian Schwarzrock, Boris Wenzlaf

Abstract: Die Entwicklung des Lernprozess Monitoring Werkzeugs (LeMo) zielt darauf hin, Lehrende, Forschende und Anbieter von e-Learning bei der Analyse von Nutzungsdaten ihrer Online- und Blended-Learning Lernszenarien zu unterstützen. LeMo ermöglichst es Verkehrsdaten sowohl von personalisierenden Lernplattformen, wie Clix oder Moodle, als auch von nicht-personalisierenden Plattformen mit frei zugänglichen Inhalten, auszuwerten. Das Tool ermöglicht verschiedene Analysen, wie zum Beispiel den Verlauf der Intensität der Aktivitäten über die Zeit, die durchschnittliche Nutzung des Angebots zu bestimmten Zeiten in der Woche, das Erkennen häufiger Pfade, einen Graphen über die Navigation zwischen den verschiedenen Lernobjekten eines Kurses und einen Überblick über die durchschnittlichen Testergebnisse. Filtereinstellungen zur Wahl des Zeitraums, der Lernobjekte, des Lernobjekt-Typs, der Nutzergruppe und visuelle Einstellungen erlauben spezifischere Analysen. Ein Hauptaugenmerk bei der Entwicklung des LeMo-Tools liegt auf der Nutzerfreundlichkeit und der dynamischen Visualisierung der Analyseergebnisse.

DeLFI 2013

 

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