Techniques for Investigating Collaboration with Multimodal Approaches
Workshop: Data Explorations and Techniques
ISLS 2023 Annual Meeting Montréal – June 11, 2023
Call for Participation
Collaborative learning is based on multimodal interactions between people. This Multimodal Learning Analytics (MMLA) workshop aims to bring together diverse fields that combine educational, computational, psychological, and related research into how people learn and how this complex process can be supported with technology. The workshop will explore methods and techniques for how various stakeholders can capture, analyze, and make sense of these multimodal learning interactions. The core challenge is to capture these interactions meaningfully for learners and teachers for improved learning and teaching at scale. MMLA combines the power of affordable sensor technologies and advances in machine learning to observe and analyze learning activities. The workshop is planned for a full day and will include data collection, processing, analysis, visualization, and knowledge exchange. The workshop is designed for researchers interested in collaboration analytics that range from theoretical to methodological and technical.
The workshop explores different methods and techniques for capturing, analyzing, and making sense of complex human interactions that generate quantitative and qualitative data for improved student learning and teacher support. MMLA combines affordable sensor technologies and advances in machine learning to observe and analyze learning activities. Real-time and automatic video and audio analysis can support learning by automating the study of activities. At the same time, researchers work to make the stream of multimodal data into meaningful layers that explain critical insights to teachers and students.
The workshop is for a full day. Participants can submit datasets (see participation). During the workshop, small groups will be formed to work on the different datasets. Additionally, we will supply some datasets and scenarios to work with. The workshop is structured as follows:
10 May 2023 Deadline for submission of abstracts and dataset descriptions
12 May 2023: Notification of acceptance
The paper notification will be sent out before May 12 2023, for participants to plan accordingly and to have the opportunity to register by the Early Bird deadline.
The workshop requires a 1-page abstract that needs to include one or more of the following, but not limited to:
Participation in the workshop will be prioritized for participants that submit the 1-page abstract and reviewed by the program committee. You can also submit a dataset that can be used in the workshop, however please also submit a description of the dataset to easychair and we will provide a git repository for sharing.
However, some spots will be open for people to join without submissions.