Analytics Driven Design to Support Learning by Prof. M. Giannakos

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Event details

Date 16.05.2017
Hour 16:0017:00
Speaker Michail Giannakos is an associate professor of interaction design and learning technologies at the Department of Computer Science of NTNU, and research director of the Centre for Excellent IT Education ($2m per year). Giannakos has developed and experimented with serious games, interactive multimedia, gamified Giannakos has co-authored more than 100 manuscripts published in peer-reviewed journals and conferences (including Computers & Education, Computers in Human Behavior, BJET, Behaviour & Information Technology, IDC, Interact, C&C to mention few) and has served as an evaluator for the EC and the NSF. He is member on the executive board of IEEE Technical Committee on Learning Technology, and 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., IEEE Multimedia, ACM TOCE). He has worked at several research projects funded by diverse sources like EC, Microsoft Research, Norwegian Research Council (NRC), NSF, DAAD and Cheng Endowment; Giannakos is also a recipient of a Marie Curie fellowship, the Norwegian CAREER award and he is one of the twenty outstanding academic fellows of NTNU.
Location
Swiss EdTech Collider, Innovation Park, Bâtiment L
Category Conferences - Seminars

Enhancing learning in a meaningful, attractive and accessible manner is critical for the 21st century. Users (e.g., students) need easy to use but also powerful designs, offering fine-grained control of time and progress during their learning experience. To do so, user experience designers need to translate users’ interactions into a sequence of useful information. Utilizing representative, objective, diverse and accurate data allows us to better understand users’ and design meaningful experiences for them. Collecting and combining learning analytics coming from different streams can provide valuable information in designing meaningful learning experiences. In this talk, I will present initial studies that investigated how analytics support learning design as well as fuzzy-techniques for making sense learning analytics.
 

Practical information

  • Informed public
  • Free
  • This event is internal

Organizer

  • CHILI Lab, Swiss EdTech Collider

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