Milica V, Hernández Leo D. Shall we learn together in loud spaces? Towards understanding the effects of sound in collaborative learning environments. 13th International Conference on Computer Supported Collaborative Learning (CSCL)
We have relevant datasets, repositories, frameworks and tools of relevance for research and technology transfer initiatives related to knowledge extraction. This section provides an overview on a selection of them and links to download or contact details.
The MdM Strategic Research Program has its own community in Zenodo for material available in this repository
as well as at the UPF e-repository 
. Below a non-exhaustive list of datasets representative of the research in the Department.
As part of the promotion of the availability of resources, the creation of specific communities in Zenodo has also been promoted, at level of research communities (for instance, MIR and Educational Data Analytics) or MSc programs (for instance, the Master in Sound and Music Computing)
Milica V, Hernández Leo D. Shall we learn together in loud spaces? Towards understanding the effects of sound in collaborative learning environments. 13th International Conference on Computer Supported Collaborative Learning (CSCL)
Milica V, Hernández Leo D. Shall we learn together in loud spaces? Towards understanding the effects of sound in collaborative learning environments. 13th International Conference on Computer Supported Collaborative Learning (CSCL)
In this paper we question the role of environmental sound on the process of CL. The first pilot study is presented where we investigated effects of environmental sound on EDA and voice VA of the participants. The created visualization presents the dependence between mentioned parameters and serves as an awareness tool for participants in CL. Preliminary results are provocative; there seems to be mentioned dependences and participants accept the proposed visualization as a useful tool to support self-regulation during CL.