Multimodal Data Fusion in Learning Analytics: A Systematic Review
Multimodal learning analytics (MMLA), which has become increasingly popular, can help provide an accurate understanding of learning processes. However, it is still unclear how multimodal data is integrated into MMLA. By following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses...
Main Authors: | Su Mu, Meng Cui, Xiaodi Huang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-11-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/23/6856 |
Similar Items
-
Deep Multimodal Representation Learning: A Survey
by: Wenzhong Guo, et al.
Published: (2019-01-01) -
Detecting Drowsy Learners at the Wheel of e-Learning Platforms With Multimodal Learning Analytics
by: Ryosuke Kawamura, et al.
Published: (2021-01-01) -
Data-Driven Representation Learning in Multimodal Feature Fusion
Published: (2018) -
Explainable Multimodal Fusion
by: Alvi, Jaweriah
Published: (2021) -
Distress situation identification by multimodal data fusion for home healthcare telemonitoring
by: Medjahed, Hamid
Published: (2010)