Register here: https://itesm.zoom.us/meeting/register/tZcqcO6orzgjEtdg-6EzlbzwuieYL7_uQzA2
This presentation will showcase a series of studies aimed at making nursing activity more visible in clinical simulations. We have been co-designing solutions to extract 'stories' that can emerge from data (Data Storytelling) using Multimodal Learning Analytics (MMLA) with nursing students, and their teachers, with the purpose of enhancing the development of skills related to teamwork. These 'MMLA' solutions involve the deployment of sensors in these simulated clinical spaces to capture activity indicators that can serve as evidence for reflection during post-simulation clinical debriefing. Supporting nursing students and professionals to develop critical thinking and effective clinical skills is the ultimate goal of this research program. Our goal is to provide automated feedback to students and healthcare facilitators so that the data can help them tell a more complete story as a result of their clinical training and identify areas that need further development.
About the Speaker
Dr. Roberto Martínez-Maldonado is a full-time lecturer and researcher at Monash University in Melbourne, Australia. Prior to this position, he was a researcher and lecturer in data visualization at the Connected Intelligence Centre at the University of Technology Sydney (UTS). Roberto studied Computer Engineering in Merida, Yucatan, Mexico. His research areas include human-computer interaction (HCI), learning analytics, artificial intelligence (AIED, EDM) and collaborative learning (CSCL). In recent years, his research has focused on applying visualization and data mining techniques to help understand how people learn and collaborate in physical learning environments such as classrooms and teamwork simulators in healthcare.
The seminar will be held via Zoom. Previous registration is required.