Interactive Workshop: Multimodal, Multiparty Learning Analytics (MMLA)
Multimodal, multiparty learning analytics – combining multi-ple data streams from several participants- has great promise in providing richer insights into learning processes. Yet there are significant technical, measurement and ethical challenges. The objectives of the workshop are to bring together a diverse group of researchers who are researching and developing mul-timodal learning analytics. Through a series of short presenta-tions and collaborative activities, the workshop participants will share their methodologies, illustrate techniques, demon-strate tools, and discuss challenges and solutions.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-07-12
- DOI
- https://doi.org/10.5281/zenodo.15870317
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00