Connecting Learning Analytics and Learning Design (CLAD 2016) Workshop at EC-TEL
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)
Connecting Learning Analytics and Learning Design (CLAD 2016) Workshop at EC-TEL
This workshop aims to open up the dialogue between the learning design and the learning analytics communities, acknowledging the potential and benefits for both fields
Connecting Learning Analytics and Learning Design (CLAD 2016) Workshop @ EC-TEL
Learning Design (LD) and Learning Analytics (LA) are both domains of research and action that aim to improve learning effectiveness. In Learning Design or, as some prefer, Design for Learning, practitioners are interested in understanding how the processes undertaken by teachers and trainers can be made visible, shared, exposed to scrutiny, and consequently made more effective and efficient. On the other hand, Learning Analytics are defined as “the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the environments in which it occurs”. LA typically employ large datasets to provide real-time or retrospective insights about the effect and effectiveness of various elements and features of learning environments. Learn more.
Workshop organisers:
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María Jesús Rodríguez-Triana, École Polytechnique Fédérale de Lausanne, Switzerland ([email protected])
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Davinia Hernández-Leo, Universitat Pompeu Fabra, Spain ([email protected])
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Yishay Mor, PAU Education, UK ([email protected])
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Paul Salvador Inventado, Carnegie Mellon University, USA ([email protected])
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Steven Warburton, University of Surrey, UK ([email protected])
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Bart Rienties, Open University, UK ([email protected])
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Luis P. Prieto, École Polytechnique Fédérale de Lausanne, Switzerland ([email protected])
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Peter Scupelli, Carnegie Mellon University, USA ([email protected])
Important Dates
10 May 2016: Start open submission
15 June 2016: End open submission
30 June 2016: Peer review submission deadline
15 July 2016: Notification to authors
30 August 2016: Video presentation deadline
16 September 2016: Workshop at ECTEL’16
To know more:
- Educational Data Science Research Line
- Discussions around Learning Analytics research at DTIC-UPF (08/05/2016
- EC-TEL 2016: European Conference on Technology Enhanced Learning 2016