Date
Thursday February 22, 2024 from 3:00 PM to 4:00 PMLocation
Neuron 0.262Co-organizer
Industrial DesignPrice
freeThe interplay of AI and Multimodal Data to support human learning聽
Professor Michail Giannakos, Professor at the Norwegian University of Science and Technology in Trondheim, is a guest of Marko Markopoulos of the department of Industrial Design.
Title | The interplay of AI and Multimodal Data to support human learning
The intersection of multimodal data and advanced computational analyses has the capacity to improve our understanding on how humans learn and provide novel affordances that enhance our learning, such as affective and embodied learning. Multimodal data coming from learners鈥� mobile devices, wearables and other ubiquitous devices not only offer new ways to detect human鈥檚 learning experience, but also enable powerful learning technologies and interfaces (via AI and ML algorithms). In this talk, Professor Giannakos will present methods and studies and our initial results on how multimodal learning analytics (MMLA) contributes to rich measurements with respect to human learning, to the interaction affordances of learning systems, and to the design and development of learning systems. Moreover, he will discuss the inherent connection of MMLA learning technologies with AI, the potential implications of putting MMLA learning technologies to practice, and potential challenges connected with ethical and methodological aspects.
Registation is required and free of charge 鈫�
Professor Michail Giannakos
Michail (Michalis) Giannakos is a professor of interaction design and learning technologies at the Department of Computer Science of NTNU, and Head of the . His research focuses on the design and study of emerging technologies in online and hybrid education settings, and their connections to student and instructor experiences and practices.
Giannakos has co-authored more than 150 manuscripts published in peer-reviewed journals and conferences (including Computers & Education, Computers in Human Behavior, IEEE TLT, Behaviour & Information Technology, BJET, ACM TOCE, CSCL, Interact, C&C, IDC to mention few) and has served as an evaluator for the EC and the US-NSF. He has served/serves in various organization committees (e.g., general chair, associate chair), program committees as well as editor and guest editor on highly recognized journals (e.g., BJET, Computers in Human Behavior, IEEE TOE, IEEE TLT, ACM TOCE).
He has worked at several research projects funded by diverse sources like the EC, Microsoft Research, The Research Council of Norway (RCN), US-NSF, the German agency for International Academic Cooperation (DAAD), and Cheng Endowment; Giannakos is also a recipient of a Marie Curie/ERCIM fellowship, and the prestigious 芦Young Research Talents禄 grant from the Research Council of Norway. He was one of the (2017-2021).
Eindhoven Artificial Intelligence Systems Institute
The Eindhoven Artificial Intelligence Systems Institute (EAISI) is the central hub for artificial intelligence research at Eindhoven University of Technology (黑料福利网). EAISI brings together researchers across engineering, computer science, and applied domains to develop AI methods, systems, and applications for industry and society.