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

Dessì Danilo;Marras Mirko;
2021-01-01

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).
2021
Inglese
WSDM 2021. Proceedings of the 14th ACM International Conference on Web Search and Data Mining
9781450382977
Association for Computing Machinery
1165
1166
2
14th ACM International Conference on Web Search and Data Mining, WSDM 2021
Comitato scientifico
8-12 March 2021
Israel (virtual)
scientifica
Behavioral mining; Data mining; Education; Machine learning
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Dessì, Danilo; Kaser, T.; Marras, Mirko; Popescu, E.; Sack, H.
273
5
4.1 Contributo in Atti di convegno
reserved
info:eu-repo/semantics/conferencePaper
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