CIMLA: A Modular and Modifiable Data Preparation, Organization, and Fusion Infrastructure to Partially Support the Development of Context-aware MMLA Solutions

CIMLA: A Modular and Modifiable Data Preparation, Organization, and Fusion Infrastructure to Partially Support the Development of Context-aware MMLA Solutions

Multimodal Learning Analytics (MMLA) solutions aim to provide a more holistic picture of a learning situation by processing multimodal educational data. Considering contextual information of a learning situation is known to help in providing more relevant outputs to educational stakeholders. However...

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Bibliographic Details
Main Authors: Shashi Kant Shankar, Adolfo Ruiz-Calleja, Luis P. Prieto, María Jesús Rodríguez-Triana, Pankaj Chejara, Sandesh Tripathi
Format: Article
Language:English
Published: Graz University of Technology 2023-03-01
Series:Journal of Universal Computer Science
Subjects:
ad-hoc development
reusability
Separation of Con
Online Access:https://lib.jucs.org/article/84558/download/pdf/

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