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)

 

 

Back Michos K, Hernández-Leo D. Towards understanding the potential of teaching analytics within educational communities. International Workshop on Teaching Analytics, EC-TEL 2016.

Michos K, Hernández-Leo D. Towards understanding the potential of teaching analytics within educational communities. International Workshop on Teaching Analytics, EC-TEL 2016, Lyon, France,S eptember 2016. CEUR Proceedings Vol-1738, pp 1-8.

The use of learning analytics in ICT-rich learning environments assists teachers to (re)design their learning scenarios. Teacher inquiry is a process of intentional and systematic research of teachers into their students ́ learning. When teachers work in small groups or communities and present results of their practice more interpretations are generated around the use and meaning of this data. In this workshop paper we present preliminary research about four dimensions of learning analytics (engagement, assessment, progression, satisfaction), and their visualization as teaching analytics, that are hypothesized to be relevant to help teachers in the (re)design of their learning scenarios. Moreover, we evaluate teachers’ acceptance of exchanging these types of analytics within their teaching community. A workshop for blended MOOCs design (N=20 participants) showed that although all the analytics dimensions were valuable, assessment data was the most useful dimension for (re)designing while data about the engagement of students was the less useful. Educational practitioners also showed interest in knowing a combination of specific data (e.g. achievements related with the satisfaction of students). Last, most participants expressed their willingness to share visual learning analytics related to their designs with their colleagues. The role of contextual information to interpret the learning analytics was recognized as important.

Keywords: Teacher inquiry, professional learning communities, learning design