[publication] Diagnose leicht gemacht (Learning Analytics in der Schule) #LearningAnalytics #tugraz

Wir freuen uns, dass unser Beitrag zu Learning Analytics in der Schule nun veröffentlicht wurde: Zusammenfassung: Wenn digitale Informationssysteme im schulischen Kontext genutzt werden, entstehen auch Sammlungen von Daten zum Lernverhalten. Einige Anwendungen sammeln und analysieren diese Daten gezielt, um damit Lernende zu unterstützen. Das Forschungsfeld dazu heißt “Learning Analytics” und ist erst rund 10 Jahre alt (Leitner et al., 2019). In diesem Beitrag möchten wir zwei Anwendungen aus dem Schulkontext vorstellen, die Datenanalysen einsetzen um Lernfortschritte von Schüler/innen zu beobachten und Rückmeldung in Echtzeit zu geben (s. Ebner, Leitner, Ebner 2020). Wir nennen zudem Chancen und Herausforderungen von Learning Analytics im Schulkontext. [Preprint @ ResearchGate] Referenz: Schön, S., Ebner, M. (2021) Diagnose leicht gemacht. In: on. Lernen in der digitalen Welt. Schiefner-Rohs, M. & Aufenanger, S. (Betr.). Heft 5/2021 (Jg. 2). S. 10-11. ISSN: 2700-1091  

Seven things that make Learning Analytics (LA) smart #elearningpapers

Together with Martin Ebner, Behnam Taraghi and Anna Saranti we discussed and brought together what makes learning analytics smart – from their perspectives and experiences with some years of work (and several publications). Here is our result as figure – and within a new publication.

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Call for Papers: Learning Analytics (deadline 2014-04-29)

cfp_learning_analyticsMartin Ebner, Kinshuk and colleagues call for submissions on the topic “Learning Analytics“. The contributions will appear as Special Issue of the journal J.UCS (Journal of Universal Computer Science). This is an open access journal and holds an Impact Factor. If you will contribute, it could get a review by me 😉 – Please consider to send a scientific contribution on 29th April 2014 at latest, if the following sounds interesting and meet you research interests as well:

With the advent of new technologies such as eye-­‐tracking, activities monitoring, video analysis, content analysis, sentiment analysis and interaction analysis, the world of learning analytics has emerged as a vast research area with strong potential in various forms of formal, informal and non-formal learning opportunities. This special issue focuses on these research dimensions and aims to foster discussion on both individual impact of these dimensions and the interdependies. Suggested topics will include, but are not limited to, the following:

  • Big data learning analytics
  • Learning process analytics
  • Learning analytics in institutional effectiveness
  • Academic analytics
  • Semantic technologies in learning analytics
  • Learning analytics in ubiquitous learning
  • Learning analytics in schools and beyond
  • Visualizations in learning analytics

Here you will find the detailed Call for Paper (CfP).

Call for Papers: Learning Analytics (JUSC, Deadline 29.4.2013)

[CfP] Learning Analytics
Martin Ebner, Behnam Taraghi, David Wohlhart, Kinshuk and Vive Kumac call for submissions on the topic “Learning Analaytics“. The contributions will appear as Special Issue of the journal J.UCS (Journal of Universal Computer Science) which is an open access journal and holds an Impact Factor. Please consider to send us a scientific contribution on 29th April 2014 at latest, if the following sounds interesting and meet you research interests as well:

With the advent of new technologies such as eye-­tracking, activities monitoring, video analysis, content analysis, sentiment analysis and interaction analysis, the world of learning analytics has emerged as a vast research area with strong potential in various forms of formal, informal and non-formal learning opportunities. This special issue focuses on these research dimensions and aims to foster discussion on both individual impact of these dimensions and the interdependies. Suggested topics will include, but are not limited to, the following:

  • Big data learning analytics
  • Learning process analytics
  • Learning analytics in institutional effectiveness
  • Academic analytics
  • Semantic technologies in learning analytics
  • Learning analytics in ubiquitous learning
  • Learning analytics in schools and beyond
  • Visualizations in learning analytics

Here you will find the detailed Call for Paper (CfP).