Multimodal learning analytics to support learning design
Join this event to hear Professor Michail Giannakos present methods and initial results from studies on how multimodal analytics support learning design.
Multimodal learning analytics to support learning design
22 Sep 2022, 12:30 – 13:30
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
Professor of Interaction Design and Learning Technologies
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.
Further information
Ticketing
Pre-booking essential
Cost
Free
Open to
All
Availability
Yes