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
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article

Interactive Workshop: Multimodal, Multiparty Learning Analytics (MMLA)

Zenodo (CERN European Organization for Nuclear Research)
Online Learning and Analytics
article

Interactive Workshop: Multimodal, Multiparty Learning Analytics (MMLA)

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 49%
Online Learning and Analytics
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Interactive Workshop: Multimodal, Multiparty Learning Analytics (MMLA) · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS