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EDRECSYS 2020 : EDRECSYS@LAK2020: The 5th International Workshop on Educational Recommender Systems


When Mar 23, 2020 - Mar 23, 2020
Where Frankfurt am Main, Germany
Submission Deadline Dec 15, 2019
Notification Due Jan 5, 2020
Final Version Due Feb 7, 2020
Categories    recommender systems   learning analytics   educational data mining

Call For Papers

Recommendation methods, techniques and systems open an interesting new approach to facilitate and support learning and teaching. There are plenty of resources available on the Web, both in terms of digital learning content and people resources (e.g. other learners, experts, tutors) that can be used to facilitate teaching and learning tasks. Recommendation methods have been used by the Educational Technology community to help identify suitable learning resources from a potentially overwhelming variety of choices. In addition, recommendation techniques are being used in learning analytics dashboards to provide actionable feedback to learners based on observed behavior and to recommend peer learners.

The aim of the Workshop is to bring together researchers and practitioners that are working on topics related to the design, development and evaluation of recommender systems in educational settings as well as present the current status of research in this area and create cross-disciplinary liaisons between the RecSys and LAK communities. Overall, it aims to outline the rich potential of LAK as an application area for recommender systems, as well as expose participants to the challenges of developing such systems in a learning analytics context.

Venue & Date
The workshop will be held on 23/24 March 2020 in conjunction with the 10th International Learning Analytics and Knowledge (LAK) Conference at the Goethe University, Frankfurt, Germany.

List of Topics
Algorithms and design concepts for educational recommender systems
Recommender techniques for generating actionable feedback in learning dashboards
Study Material and (open) course recommendations
Recommendations to facilitate learning
Effects of recommendations and addressing different learning types
User-centric perspective of the recommenders, perception of students/teachers
Adaptive curriculum and course sequencing
Job recommendations & adaptive educational biographies
Matchmaking and recommendation of learning peers
Recommendations for informal learning & recommendations for social/ peer learning
Recommendations for life-long learning
Situation and time-sensitive recommendations
Utilising the content/full-text information for the study material recommendation
Explanations and transparency in educational recommender systems
Tools, specifications and standards for enabling educational recommender systems
Evaluation of the educational recommenders

Important Dates
01 November 2019: Submission opens
15 December 2019: Submission deadline
05 January 2020: Notification of acceptance (prior to early-bird registration deadline of 20 January 2019)
07 February 2020: Camera ready version
23 March 2020: Workshop

Submission Guidelines
We invite authors to submit their original unpublished work. The submissions need to be formatted using the LAK companion proceedings template using EasyChair system using the link below and they should not exceed 12 pages.

Each of the submitted paper will be reviewed by at least two members if the Program Committee. The accepted papers will be published in the Companion Proceedings of the LAK 2020 conference.

Workshop format
The Workshop aims to be an interactive, engaging experience that will motivate participants to get involved and start fruitful discussions on its topics. For that, it will combine several activities. On the one hand, a highly recognised keynote speaker will be invited to open the workshop. On the other hand, the Workshop would like to give to participants the opportunity to be engaged into creative and motivating discussions about the key issues related to LAK recommender systems. To this end, a panel of selected experts will be asked to pose a number of key questions that are related to enablers and challenges for recommender systems for learning, and then facilitate the discussion of these questions in a number of dedicated Working Groups.

Papers submitted to the workshop and accepted by the Program Committee will be presented during the workshop. However, the presentations are not given by the authors themselves. Instead, accepted papers will be presented this time by other authors in 5-10 minutes each. Thus, each author has to deal with a different topic in advance and so the workshop becomes more interactive. Subsequently, the actual author has time to comment briefly and to supplement explanations. After each presentation there will be a short discussion with all workshop participants about the paper. The Workshop is expected to end with a small ceremony for giving the best paper awards.

Workshop history
The workshop builds upon the earlier EdRecSys workshop series that were organised at UMAP 2017 and WI’16; and the RecSysTEL workshop series that were organised at EC-TEL in 2012 and 2010.

Organizing committee
Martin Hlosta, KMi, The Open University, United Kingdom
Christopher Krauss, Fraunhofer FOKUS, Berlin, Germany
Katrien Verbert, Katholieke Universiteit Leuven, Belgium
Geoffray Bonnin, Université de Lorraine, France
Martijn Millecamp, Katholieke Universiteit Leuven, Belgium
Vaclav Bayer, KMi, The Open University, United Kingdom

Program Committee
Agathe Merceron - Beuth University of Applied Sciences
Zdenek Zdrahal - Czech Institute of Informatics, Robotics, and Cybernetics
Anne Boyer - Université de Lorraine, France
Armelle Brun - Université de Lorraine, France
Azim Roussanaly - Université de Lorraine, France
Hendrik Drachsler - University of Frankfurt, Germany
Rwitajit Majumdar - Kyoto University, Japan
Brendan Flanagan - Kyoto University, Japan
Dietmar Jannach - University of Klagenfurt, Austria
Christothea Herodotou - Institute of Education, The Open University, UK
Marek Hatala - Simon Fraser University, Canada

In case of any questions regarding the workshop, please contact: Martin Hlosta ( and Christopher Krauss ( and mark the subject as EDRECSYS2020.

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