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L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web

Dessi, Danilo; Käser, Tanja; Marras, Mirko; Popescu, Elvira; Sack, Harald

Abstract:

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 a timely guidance, being able to understand student's behavior and enable models which provide data-driven decisions pertaining to the learning domain is a primary property of online platforms, aiming at maximizing learning outcomes. In this workshop, we focus on collecting new contributions in this emerging area and on providing a common ground for researchers and practitioners (Website: https://mirkomarras.github.io/l2d-wsdm2021).


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Originalveröffentlichung
DOI: 10.1145/3437963.3441840
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsmonat/-jahr 03.2021
Sprache Englisch
Identifikator ISBN: 978-1-4503-8297-7
KITopen-ID: 1000134437
Erschienen in WSDM '21: The Fourteenth ACM International Conference on Web Search and Data Mining Virtual Event Israel 8 March, 2021- 12 March, 2021. Ed.: L. Lewin-Eytan
Veranstaltung 1st / 14th International Workshop on Enabling Data-Driven Decisions from Learning on the Web co-located with the 14th ACM International Conference on Web Search and Data Mining (WSDM 2021), Online, 08.03.2021 – 12.03.2021
Verlag Association for Computing Machinery (ACM)
Seiten 1165–1166
Externe Relationen Abstract/Volltext
Nachgewiesen in Dimensions
Scopus
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