ECT Brownbag: Dr. Daniele Di Mitri:
Restoring Context in Distance Learning with Artificial Intelligence and Multimodal Learning Experiences with Daniele DiMitri
Tuesday, February 1st, 2022 | 12:00 pm -1:00 pm EST
Open To The Public | Zoom Recording Here
The COVID-19 pandemic forced more than 1.6 billion learners out of school, becoming the most challenging disruption ever endured by the global education systems. In many countries, education institutions decided to move their regular activities online, opting for remote teaching as an emergency solution to continue their education. Meanwhile, physical distancing and learning in isolation heavily challenge learners and hinder their study success. There is a compelling need to make education systems more resilient and less vulnerable to future disruptions in such a critical landscape. In particular, we have to reconsider how digital technologies can support online and hybrid teaching. If digital education technologies such as video conferencing tools and learning management systems have improved to make educational resources more available and education more flexible, the modes of interaction they implement remain essentially unnatural for the learner due to a substantial lack of context. Modern sensor-enabled computer systems allow extending the standard human-computer interfaces and facilitate richer multimodal interaction. Furthermore, advances in AI allow interpreting the data collected from multimodal and multi-sensor devices. These insights can be used to support online teaching and learning in isolation with personalised feedback and adaptation through Multimodal Learning Experiences (MLX). This guest lecture elaborates on existing approaches, architectures, and methodologies. I illustrate use cases that employ multimodal learning analytics applications that can shape the online teaching of the future.
About the speaker
Dr Daniele Di Mitri is a research group leader at the EduTec group at DIPF Leibniz Institute for Research and Information in Education located in Frankfurt, Germany. Daniele received his PhD title at the Open University of The Netherlands (2020) in Learning Analytics. His PhD project, the Multimodal Tutor, investigated the potentials of collecting and analysing multimodal data during physical interactions for automatic feedback and human behaviour analysis. He was elected as AI Newcomer 2021 at the KI Camp by the German informatics society and received the Martin Wolpers Award in technology-enhanced learning 2018. Daniele’s current research focuses on designing Responsible AI applications for education and human support. He is a member of the editorial board of Frontiers in Artificial Intelligence journal, a member of the CrossMMLA particular interest group of the Society of Learning Analytics Research, and he is the chair of the Learning Analytics Hackathon (LAKathon) series.