TY - GEN
T1 - MLA'14 - Third multimodal learning analytics workshop and grand challenges
AU - Ochoa, Xavier
AU - Worsley, Marcelo
AU - Chiluiza, Katherine
AU - Luz, Saturnino
N1 - Publisher Copyright:
Copyright 2014 ACM.
PY - 2014/11/12
Y1 - 2014/11/12
N2 - 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.
AB - 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.
KW - Educational data mining
KW - Learning analytics
KW - Multimodal interaction
UR - http://www.scopus.com/inward/record.url?scp=84947242232&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84947242232&partnerID=8YFLogxK
U2 - 10.1145/2663204.2668318
DO - 10.1145/2663204.2668318
M3 - Conference contribution
AN - SCOPUS:84947242232
T3 - ICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction
SP - 531
EP - 532
BT - ICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction
PB - Association for Computing Machinery, Inc
T2 - 16th ACM International Conference on Multimodal Interaction, ICMI 2014
Y2 - 12 November 2014 through 16 November 2014
ER -