EFAR-MMLA: An Evaluation Framework to Assess and Report Generalizability of Machine Learning Models in MMLA

EFAR-MMLA: An Evaluation Framework to Assess and Report Generalizability of Machine Learning Models in MMLA

Multimodal Learning Analytics (MMLA) researchers are progressively employing machine learning (ML) techniques to develop predictive models to improve learning and teaching practices. These predictive models are often evaluated for their generalizability using methods from the ML domain, which do not...

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Bibliographic Details
Main Authors: Pankaj Chejara, Luis P. Prieto, Adolfo Ruiz-Calleja, María Jesús Rodríguez-Triana, Shashi Kant Shankar, Reet Kasepalu
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
Multimodal Learning Analytics
MMLA
face-to-face collaboration
machine learning
generalizability
evaluation framework
Online Access:https://www.mdpi.com/1424-8220/21/8/2863

Internet

https://www.mdpi.com/1424-8220/21/8/2863

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