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SUMMARY:Analytics Driven Design to Support Learning by Prof. M. Giannakos
DTSTART:20170516T160000
DTEND:20170516T170000
DTSTAMP:20260408T055533Z
UID:304882933942ca6a9cce1a3b5d76d091e5db979cc8a947bb368a0f21
CATEGORIES:Conferences - Seminars
DESCRIPTION:Michail Giannakos is an associate professor of interaction des
 ign and learning technologies at the Department of Computer Science of NTN
 U\, and research director of the Centre for Excellent IT Education ($2m pe
 r year). Giannakos has developed and experimented with serious games\, int
 eractive multimedia\, gamified Giannakos has co-authored more than 100 man
 uscripts published in peer-reviewed journals and conferences (including Co
 mputers & Education\, Computers in Human Behavior\, BJET\, Behaviour & Inf
 ormation 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 boar
 d of IEEE Technical Committee on Learning Technology\, and has served/serv
 es in various organization committees (e.g.\, general chair\, associate ch
 air)\, program committees as well as editor and guest editor on highly rec
 ognized journals (e.g.\, IEEE Multimedia\, ACM TOCE). He has worked at sev
 eral research projects funded by diverse sources like EC\, Microsoft Resea
 rch\, 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 N
 TNU.\nEnhancing learning in a meaningful\, attractive and accessible manne
 r is critical for the 21st century. Users (e.g.\, students) need easy to u
 se but also powerful designs\, offering fine-grained control of time and p
 rogress during their learning experience. To do so\, user experience desig
 ners need to translate users’ interactions into a sequence of useful inf
 ormation. 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 differe
 nt streams can provide valuable information in designing meaningful learni
 ng experiences. In this talk\, I will present initial studies that investi
 gated how analytics support learning design as well as fuzzy-techniques fo
 r making sense learning analytics.\n 
LOCATION:Swiss EdTech Collider\, Innovation Park\, Bâtiment L
STATUS:CONFIRMED
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