CrossMMLA in practice: Collecting, annotating and analyzing multimodal data across spaces
Year: 2020
Type: conference-paper
Abstract: Learning is a complex process that is associated with many aspects of interactionand cognition (e.g., hard mental operations, cognitive friction etc.) and that can take acrossdiverse contexts (online, classrooms, labs, maker spaces, etc.). The complexity of this processand its environments means that it is likely that no single data modality can paint a completepicture of the learning experience, requiring multiple data streams from different sourcesand times to complement each other. The need to understand and improve learning thatoccurs in ever increasingly open, distributed, subject-specific and ubiquitous scenarios, require the development of multimodal and multisystem learning analytics. Following thetradition of CrossMMLA workshop series, the proposed workshop aims to serve as a place tolearn about the latest advances in the design, implementation and adoption of systems thattake into account the different modalities of human learning and the diverse settings inwhich it takes place. Apart from the necessary interchange of ideas, it is also the objective ofthis workshop to develop critical discussion, debate and co-development of ideas foradvancing the state-of-the-art in CrossMMLA.
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W3034339687