- From: Stephen Fancsali <sfancsali@xxxxxxxxx>
- To: edm-announce@xxxxxxxxxxxxx
- Date: Tue, 23 Mar 2021 14:26:45 -0400
[on behalf of Jakub Kuzilek]
Learning Analytics Workshop @ DELFI 2021
Workshop website: http://akla.f4.htw-berlin.de/workshop-2021/
We are inviting you to submit papers for the DELFI 2021 Learning Analytics
Workshop. Submissions corresponding to the workshop topic are encouraged:
Learning analytics considering student diversity, the use of assessment
data, and discrimination. In addition, papers might also relate to other
relevant topics such as the use of learning analytics in teaching and
learning, to ethical, legal, technical or social aspects of learning
analytics, and to learning analytics for MOOCs, PLEs or adaptive learning
systems. Contributions on scientific findings on methods or applications of
learning analytics are welcome as well as more practically focused papers
on tools, data analysis or application scenarios.
Papers accepted for the workshop (long and short papers, posters) will be
published in a joint DELFI workshop volume.
§ Full papers and short papers: June 20, 2021
§ Acceptance notifications for full and short papers: July 9, 2021
§ Camera-ready versions due: July 30, 2021
Format and submission
The submissions allow to present work in progress and preliminary results
to the community. Full papers (8-10 pages) and work in progress or posters
(2-4 pages) using the LNI Word template are accepted for submission. Papers
can be submitted in English or German. Submissions will be peer-reviewed
and upon acceptance published in the workshop proceedings.
Please use the LNI format. Author guidelines and templates can be found at
https://gi.de/service/publikationen/lni. Due to the publication guidelines,
each paper must include an abstract in English. The submission of
anonymised contributions is done via the conference management tool
EasyChair (Link will be provided soon).
If you have any further questions, please get in touch with the workshop
Nathalie Rzepka (
and Niels Seidel (https://www.fernuni-hagen.de/ks/team/niels.seidel.shtml).
Computer Science Education / Computer Science and Society research group
Department of Computer Science
Faculty of Mathematics and Natural Sciences
Humboldt-Universität zu Berlin
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- » [edm-announce] Call for Papers: Learning Analytics Workshop @ DELFI 2021 – Stephen Fancsali