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
Visual Learning Pulse: Flow Prediction and Feedback in Self-regulated Learning
Visual Learning Pulse is a Master thesis research project developed in cooperation with the Welten
Institute, the Research Centre for Learning, Teaching and Technology at the Open University of the Netherlands, and partially financed by the European project Learning Analytics Community Exchange (LACE). Visual Learning Pulse explores whether physiological and physical data such as heart rate, step count and weather data if correlated with learning activity data can be used to predict learning success in self-regulated learning settings.