edCrumble: Designing for Learning with Data Analytics

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Abstract

This demonstration introduces ILDE2/edCrumble, an online learning design platform that allows teachers the creation of learning designs (LDs) with the support of data analytics. ILDE2/edCrumble is built on top of the LdShake platform, which provides social features enabling the sharing and co-edition of LDs. The tool provides an innovative visual representation of LDs combining face-to-face and online learning in different places (in-class and out-of-class) and times (synchronous and asynchronous). Decision making during the LD process is supported by two types of analytics: resulting from the design of the activities sequenced in a timeline (LD analytics); and aggregated meta-data extracted from several grouped LDs (community analytics). Preliminary results conducted as part of an iterative design-based research process, show that the tool is being perceived as easy to use and useful. During the demo we will show the use case of how LD and community analytics can help balancing the workload and design between different courses which are part of a whole curriculum.

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Albó, L., & Hernández-Leo, D. (2018). edCrumble: Designing for Learning with Data Analytics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11082 LNCS, pp. 605–608). Springer Verlag. https://doi.org/10.1007/978-3-319-98572-5_55

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