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
Originally posted on lilab.eu
The 2017 edition of the Learning Analytics & Knowledge conference beat all the previous records with 344 submissions from 1000 authors and 415 participants, the acceptance rate of the full paper was 34%.
Multimodality is the main focus
The trending topic of #LAK17 is undoubtedly multimodality. Two keynotes out of three Sanna Jarvela and Sydney D'Mello focus on multimodal data for learning. The topic is also reflected in many studies presented during the parallel presentations. Continue reading
Written for Lilab.eu
Like in many other fields like healthcare, retail, telecommunications and natural science, Big Data and Analytics have become a new hype in Education and Learning under the umbrella name of "Learning Analytics". As technology becomes ubiquitous and more accessible, as most of the learning time is now spent on Massive Online Open Courses, vast quantities of data are continuously generated and stored in IT systems. These data offer unprecedented opportunities for researchers to analyse and understand several different aspects of learning and education. This data-driven approach is shaking the traditional paradigms of educational research.
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