CategoriesDigital learningEducationLearning Pulse

#LAK17 - it's all about multimodality

Posted on 03/26/2017by Daniele Di Mitri

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.

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.

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Published by Daniele Di Mitri

Daniele Di Mitri is a professor of Multimodal Learning Technologies at the German University of Digital Science. At the German UDS, he leads the research group "Augmented Feedback" and coordinates the master's in Advanced Digital Realities.  He is an associated researcher at the DIPF - Leibniz Institute for Research and Information in Education and a lecturer at the Goethe University of Frankfurt, Germany. Daniele Di Mitri received his PhD in Learning Analytics and Wearable Sensor Support from the Open University of the Netherlands. His current research focuses on developing AI-driven, multimodal learning technologies to enhance digital education. It aims to create innovative, responsible solutions that improve learning experiences through advanced feedback systems and ethical integration of technology. 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 CrossMMLA, a special interest group of the Society for Learning Analytics Research, and the chair of the special interest group on AI for Education of the European Association for Technology-Enhanced Learning.

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