CategoriesDigital learningEducationLearning Pulse

#LAK17 - it's all about multimodality

Originally posted on

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.

Two workshops focus specifically on the challenge of collecting and analysing multimodal learning data: the Learning Anaylitcs across Digital and Physical spaces (CROSS-LAK).

Also the Multimodal Learning Analytics Challenge (MMLA) focus on techniques to analyse multimodal learning datasets.

PhD presentation

In the second of the pre-conference takes place the LAK Doctoral Consortium sponsored by SoLAR where I present my PhD project "Digital Learning Projection: learning state estimation from multimodal learning experiences".

The presentation addresses several aspects of the topic of multimodality in learning.

The PhD was also presented during the poster session of the conference, the poster is presented here below.

Learning Pulse full paper

Along the lines of multimodality  I present my first full paper published in the LAK17 proceedings "Learning Pulse: a machine learning approach for predicting performance in self-regulated learning using multimodal data".

The full text of the paper and presentation are both available online.

Other presentations from OUNL

The Open Universiteit is very active at #LAK17: Maren Scheffel presents a paper evaluating a Learning Analytics feedback in a self-regulated learning environment.  Ioana Jivet co-presents a paper on how to raise MOOC completion rates by studying cultural factors of participants.

Published by Daniele Di Mitri

Daniele Di Mitri is a research group leader at the DIPF - Leibniz Institute for Research and Information in Education and a lecturer at the Goethe University of Frankfurt, Germany. Daniele received his PhD entitled "The Multimodal Tutor" at the Open University of The Netherlands (2020) in Learning Analytics and wearable sensor support. His research focuses on collecting and analysing multimodal data during physical interactions for automatic feedback and human behaviour analysis. Daniele's current research focuses on designing responsible Artificial Intelligence applications for education and human support. He is a "Johanna Quandt Young Academy" fellow and was elected "AI Newcomer 2021" at the KI Camp by the German Informatics Society. He is a member of the editorial board of Frontiers in Artificial Intelligence journal, a member of the CrossMMLA, a special interest group of the Society of Learning Analytics Research, and chair of the Learning Analytics Hackathon (LAKathon) series.

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