The beautiful city of Sydney hosted the 8th international conference of Learning Analytics 2018 (LAK'18). There with my colleagues of OUNL and DIPF, we brought our contributions to the research community.
This year my main contribution constituted in the organisation of Multimodal Data Challange at the Learning Analytics Hackathon. Together with my colleagues Jan Schneider (DIPF) we brought our approach to capturing, storing, analysing, annotating and exploiting multimodal data. The challenge was introduced by the info document of the Hackathon, as well as the 3-pages submission for the LAKHackathon submission Multimodal challenge: analytics beyond user-computer interaction data.
Call For Proposals (https://easychair.org/cfp/LAKHackathon2018)
The Hack@LAK18 is a pre-conference workshop of the 8th International Learning Analytics and Knowledge Conference (LAK). It is the fourth in the series of Hackathons held at LAK, where we encourage a hands-on approach to combining novel data sources in a realistic infrastructure for the benefit of Learning. The approach is multi-disciplinary, reviewed from all angles, self-organising and team building. Anyone is welcome to participate as long as they are motivated to be politely critical and work towards and expand common objectives.
Please feel free to bring along your research questions, datasets and methodologies to the workshop for incorporation in the multidisciplinary activities. If you would like to suggest open research questions that you think should be addressed at the event, then please see our Call for Proposals which is open until December 18. However, you don’t have to have submitted a proposal in order to participate!
The event itself will take place on March 5-9, 2018 in Sydney, Australia.
Purpose Pyramid of Multimodal Data - (cc) Daniele Di Mitri
Originally posted in Lilab.eu
Last week the European Conference on Technology Enhanced Learning (#ECTEL2017) took place in Tallinn University with an overarching theme: "data-driven approaches in education". This year's conference focused on the role of data and learning analytics as means for deciphering and improving learning and teaching practices.
Contribute to the definition of Multimodal Data in Learning! Provide your ideas to the Multimodal Data Tree