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

作者: Tanja Käser , Elvira Popescu , Harald Sack , Danilo Dessi , Mirko Marras

DOI: 10.1145/3437963.3441840

关键词: Common groundDomain (software engineering)Process (engineering)Learning analyticsWorld Wide WebData-drivenComputer scienceFocus (computing)Property (programming)

摘要: By offering courses and resources, learning platforms on the Web have been attracting lots of participants, interactions with these systems generated a vast amount learning-related data. Their collection, processing analysis promoted significant growth analytics opened up new opportunities for supporting assessing educational experiences. To provide all stakeholders involved in process timely guidance, being able to understand student's behavior enable models which data-driven decisions pertaining domain is primary property online platforms, aiming at maximizing outcomes. In this workshop, we focus collecting contributions emerging area providing common ground researchers practitioners (Website: https://mirkomarras.github.io/l2d-wsdm2021).

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