Call for Papers

First International Workshop on Enabling Data-Driven Decisions from Learning on the Web (L2D 2021) held as part of the ACM International Conference on Web Search and Data Mining (WSDM), online from Jerusalem (Israel) on 12th March 2021.

Workshop: March 12, 2021 - ONLINE EVENT

https://mirkomarras.github.io/l2d-wsdm2021/


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Important Dates

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Submissions: January 25, 2021 February 3, 2021

Notifications: February 22, 2021

Camera-Ready Contributions: March 1, 2021

Workshop: March 12, 2021 - ONLINE EVENT

All deadlines are 11:59pm, AoE time (Anywhere on Earth).


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Keynote Speaker & Industry Panel

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* Keynote Speaker Marcus Specht, Professor for Digital Education at the Technical University of Delft (TU Delft), The Netherlands

* Industry Panel (currently being updated/extended)

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Workshop Aims and Scope 

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By offering courses and resources, learning platforms on the Web have been attracting lots of participants, and the interactions with these systems have generated a vast amount of learning-related data. Their collection, processing and analysis have promoted a significant growth of learning analytics and have opened up new opportunities for supporting and assessing educational experiences. To provide all the stakeholders involved in the educational process with timely support, being able to understand learner's behavior and create models that provide data-driven decisions pertaining to the learning domain is a primary feature of modern online platforms. This workshop aims to present novel, high-quality, high-impact, original research results reporting the current state of the art of online education systems empowered with data mining (DM) and machine learning (ML). Specifically, this workshop will pursue the following objectives:

Given the growing importance of these topics, the DM and ML community is more and more eager to delve into this applicative domain and, as a consequence, can strongly benefit from a dedicated event. For this reason, this workshop would provide the WSDM community with rich, yet clear, focused, and well-structured insights on this domain. L2D 2021 will be the WSDM's workshop aimed at collecting new contributions in education-related data mining and at providing a common ground for interested researchers and practitioners. Given also the current situation faced by education worldwide due to the pandemic, we expect that this workshop will foster a strong outcome and a wide community dialog.

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Workshop Keywords

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Data Mining - Machine Learning - Education - Data-Driven Decisions

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Workshop Topics

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We are interested in novel contributions targeting DM and ML in education on the Web, focused but not limited to the following areas:

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Submission Details

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The submissions must be in English and adhere to the CEUR-WS one-column template. The papers should be submitted as PDF files to Easychair at https://easychair.org/conferences/?conf=l2d2021. Please be aware that at least one author per paper must be registered and attend the workshop to present the work.

We will consider four different submission types:

Submissions should not exceed the indicated number of pages, including any diagrams and references.

Each submission will be reviewed by three independent reviewers on the basis of relevance for the workshop, novelty/originality, significance, technical quality and correctness, quality and clarity of presentation, quality of references and reproducibility.

The accepted papers and the material generated during the meeting will be available on the workshop website. The workshop proceedings will be sent for inclusion in a CEUR-WS volume and consequently indexed on Google Scholar, DBLP, and Scopus. Authors of selected papers may be invited to submit an extended version in a journal special issue.


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Attending

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TBD

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Workshop Chairs

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Danilo Dessì

https://www.fiz-karlsruhe.de/en/forschung/lebenslauf-und-publikationen-dr-danilo-dessi

Information Service Engineering

FIZ- Karlsruhe  Leibniz Institute for Information Infrastructure

Karlsruhe Institute of Technology (KIT) - Institute AIFB

Email: danilo.dessi@fiz-karlsruhe.de


Tanja Käser

https://people.epfl.ch/tanja.kaeser/?lang=en

Digital Vocation, Education and Training (D-VET) Laboratory & Machine Learning for Education (ML4ED) Laboratory

École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

Email: tanja.kaeser@epfl.ch


Mirko Marras

http://www.mirkomarras.com/

Digital Vocation, Education and Training (D-VET) Laboratory & Machine Learning for Education (ML4ED) Laboratory

École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

Email: mirko.marras@epfl.ch


Elvira Popescu

http://software.ucv.ro/~epopescu/

University of Craiova

Faculty of Automation, Computers and Electronics

Computers and Information Technology Department

Email: elvira.popescu@edu.ucv.ro 


Harald Sack

https://www.fiz-karlsruhe.de/en/forschung/lebenslauf-prof-dr-harald-sack

Information Service Engineering

FIZ- Karlsruhe  Leibniz Institute for Information Infrastructure

Karlsruhe Institute of Technology (KIT) - Institute AIFB

Email: harald.sack@fiz-karlsruhe.de

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Contacts

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For general enquiries on the workshop, please send an email to danilo.dessi@fiz-karlsruhe.de or mirko.marras@epfl.ch.