Researchers from the GSIC group -and associated with the Casual Learn Project- collaborated with Shashi Khant Shankar -from Tallinn University (Estonia)- during his research stay at the University of Valladolid. As part of his PhD, Shashi is working on a software infrastructure to support the processing of Multimodal Learning Analytics (MMLA) data. During his research stay, he worked on the architecture and took advantage of our expertize on MMLA and software architectures.
Part of the results of this collaboration was presented at the Learning Analytics Summer Institute (LASI) Spain 2019, which happened at Vigo on the 27th and 29th of June. The presentation entitles “A Data Value Chain to Support the Processing of Multimodal Evidence in Authentic Learning Scenarios” [1]. It proposed a data value chain for MMLA that synthesizes the steps followed in several learning scenarios carried out at Tallinn University and Valladolid University. This data value chain will be later on used to define the support that the technical infrastructure should offer to MMLA processes.
The picture shows our presentation at Vigo. Here you can find the slides used during the presentation.
[1] Shashi Kant Shankar, Adolfo Ruiz-Calleja, Sergio Serrano-Iglesias, Alejandro Ortega-Arranz, Pareskevi Topali, Alejandra Martínez-Monés. “A Data Value Chain to Support the Processing of Multimodal Evidence in Authentic Learning Scenarios”. In: Proceedings of the Learning Analytics Summer Institute (LASI) Spain 2019. Vigo (Spain). CEUR. In press.