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Multimodal learning analytics to support learning design
22 September 2022, 12:30 pm–1:30 pm
Join this event to hear Professor Michail Giannakos present methods and initial results from studies on how multimodal analytics support learning design.
This event is free.
Event Information
Open to
- All
Availability
- Yes
Cost
- Free
Organiser
-
Ned Barker
Location
-
Large Seminar RoomThe Knowledge Lab23 - 29 Emerald StreetLondonWC1 3QS
Learners need meaningful designs, offering fine-grained control of time and progress during their learning experience. To do this, we “translate” their interactions into a sequence of useful and actionable information that support LD.
Sensing technologies like, eye-tracking, motion cameras and wearables, combined with powerful AI and ML algorithms, have the capacity to empower teachers, learners and researchers with useful and sometimes temporal insight. Utilising representative, objective, diverse and accurate data allows us to better understand learners’ and design meaningful experiences for them.
This talk will highlight how collecting and combining learning analytics coming from multimodal streams can provide valuable information in designing meaningful learning experiences.
This event will be particularly useful for those interested in multimodality; learning design; learning analytics and educational technology.
Related links
About the Speaker
Michail Giannakos
Professor of Interaction Design and Learning Technologies at Department of Computer Science, Norwegian University of Science and Technology (NTNU)
His research focuses on the design and study of emerging technologies in online and hybrid education settings, and on developing new ways for humans to interact with interactive learning systems.
More about Michail Giannakos