Albó L, Hernández-Leo D. edCrumble: designing for learning with data analytics. Proceedings of the 13th European Conference on Technology Enhanced Learning (EC-TEL 2018)
We develop a large number of software tools and hosting infrastructures to support the research developed at the Department. We will be detailing in this section the different tools available. You can take a look for the moment at the offer available within the UPF Knowledge Portal, the innovations created in the context of EU projects in the Innovation Radar and the software sections of some of our research groups:
Artificial Intelligence |
Nonlinear Time Series Analysis |
Web Research |
Music Technology |
Interactive Technologies |
Barcelona MedTech |
Natural Language Processing |
Nonlinear Time Series Analysis |
UbicaLab |
Wireless Networking |
Educational Technologies |
Albó L, Hernández-Leo D. edCrumble: designing for learning with data analytics. Proceedings of the 13th European Conference on Technology Enhanced Learning (EC-TEL 2018)
Albó L, Hernández-Leo D. edCrumble: designing for learning with data analytics. Proceedings of the 13th European Conference on Technology Enhanced Learning (EC-TEL 2018)
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
https://doi.org/10.1007/978-3-319-98572-5_55
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