Work

Stepping Outside the Ivory Tower: How Can We Implement Multimodal Learning Analytics in Ecological Settings, and Turn Complex Temporal Data Sources into Actionable Insights?

Year: 2024

Type: conference-paper

Abstract: The field of Multimodal Learning Analytics (MMLA) is expanding, allowing researchers to capture rich, fine-grained data on learning processes in a variety of learning environments.High-quality process data can open the door for new insights on how people learn, creative interventions to support them, and build the foundation for personalized learning platforms.There is, however, a growing recognition that there is a lack of ecological implementations in MMLA (Cukurova, Giannakos & Martinez-Maldonado, 2020): the vast majority of projects are lab-based, which limit the generalizability and impact of multimodal sensing in education.This symposium brings together researchers who have used MMLA methods in the wild.The panel will discuss obstacles to the use of multimodal data in real-world settings, share lessons learned from current projects, and propose productive next steps for the field to become more ecologically relevant.

Source: Computer-supported collaborative learning/The Computer-Supported Collaborative Learning Conference

DOI: 10.22318/cscl2024.259119

Authors: Bertrand Schneider, Richard Davis, Roberto Martinez-Maldonado, Gautam Biswas, Marcelo Worsley, Nikol Rummel