«Making the classroom translucent through IoT technology and data storytelling»
Roberto Martínez-MaldonadoUniversity of Technology Sydney, Australia
Abstract
The aim of this talk is to discuss the potential of a new metaphor for bringing Learning Analytics into physical learning spaces that we call «Classroom Translucence». A translucent classroom or learning space would be that where activity traces can enhance awareness of teaching and learning practices while ensuring privacy and restricting the use of data for a particular situation. This presentation will showcase a series of current studies aimed at making teamwork and classroom activity more visible based on this metaphor. We have been rolling out multimodal learning analytics solutions into physical learning spaces to capture traces of activity that can potentially serve as evidence for reflection or for learners and educators to take immediate actions.
Bio
Roberto Martínez-Maldonado is a full-time researcher at the Connected Intelligence Center (CIC) and teaches Data Visualization at the Sydney University of Technology (UTS). His research areas include Human-Computer Interaction (HCI, CSCW), Learning Analytics, Artificial Intelligence (AIED, EDM) and Collaborative Learning (CSCL). In recent years, his research has focused on applying data mining and visualization techniques to understand how people learn and collaborate in physical settings. He is co-chair of the industry research and monitoring program co-chair at the International Conference on Artificial Intelligence in Education 2018 (AIED 2018), held in conjunction with the Festival of Learning in London in June this year.
