@inproceedings{8f470ea712884664a3d22da0a7e3e52d,
title = "MLA'14 - Third multimodal learning analytics workshop and grand challenges",
abstract = "This paper summarizes the third Multimodal Learning Analytics Workshop and Grand Challenges (MLA'14). This subfield of Learning Analytics focuses on the interpretation of the multimodal interactions that occurs in learning environments, both digital and physical. This is a hybrid event that includes presentations about methods and techniques to analyze and merge the different signals captured from these environments (workshop session) and more concrete results from the application of Multimodal Learning Analytics techniques to predict the performance of students while solving math problems or presenting in the classroom (challenges sessions). A total of eight articles will be presented in this event. The main conclusion from this event is that Multimodal Learning Analytics is a desirable research endeavour that could produce results that can be currently applied to improve the learning process.",
keywords = "Educational data mining, Learning analytics, Multimodal interaction",
author = "Xavier Ochoa and Marcelo Worsley and Katherine Chiluiza and Saturnino Luz",
year = "2014",
month = nov,
day = "12",
doi = "10.1145/2663204.2668318",
language = "English (US)",
series = "ICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction",
publisher = "Association for Computing Machinery, Inc",
pages = "531--532",
booktitle = "ICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction",
note = "16th ACM International Conference on Multimodal Interaction, ICMI 2014 ; Conference date: 12-11-2014 Through 16-11-2014",
}