SMLA 2016 - Situating Multimodal Learning Analytics

Situating Multimodal Learning Analytics
Full-Day Workshop, Monday, June 20th
ICLS 2016, National Institute of Education, Singapore
WORKSHOP OVERVIEW
Recent advances in big data analytics and multimodal data capture technology have given us new ways to create and analyze a broad range of learning experiences. However, effectively using these tools and techniques can be quite challenging. Accordingly, this workshop brings together data and learning scientists to help orient the broader learning sciences community to potential opportunities with big data and multimodal analysis. Participants will have a hands-on introduction to different techniques, the opportunity to test different tools, and also participate in an important discussion around the challenges of using multimodal learning analytics to support research in situated, multi-party learning environments. The hands-on experience will make use of pre-existing multimodal data sets provided by the organizers and by participants, and will be further supported by short presentations and a guidebook that describes current best practices. At the conclusion of the workshop, participants will be better acquainted with different tools and techniques for doing multimodal learning analytics, and will hopefully have developed collaborations that will result in future proposals, analyses and publications.
WHO SHOULD ATTEND?
We invite a combination of designers, practitioners, learning scientists and data scientists to participate in this workshop. Additionally we encourage participation from graduate students, postdoctoral researchers, senior researchers and faculty at every level.
HOW DO I APPLY?
Interested participants should fill out the application located here: http://goo.gl/forms/PKbmK7fJzY
We will limit the workshop to 25 participants, so please make sure to complete your application by April 15th, 2016.
ANYTHING ELSE I SHOULD KNOW?
This workshop is being supported by an NSF Big Data EAGER (IIS Award # 1548254). As such, some funding will be made available to help participants offset travel/accommodation costs.
For any questions, please contact Marcelo Worsley at worsley-AT-usc.edu