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Towards discovering problem similarity through deep learning: combining problem features and user behavior.
Mussack, Dominic; Flemming, Rory; Schrater, Paul et al.
2019In Proceedings of The 12th International Conference on Educational Data Mining (EDM 2019)
Peer reviewed
 

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Disciplines :
Education & instruction
Author, co-author :
Mussack, Dominic ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS)
Flemming, Rory
Schrater, Paul
Cardoso-Leite, Pedro ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS)
External co-authors :
yes
Language :
English
Title :
Towards discovering problem similarity through deep learning: combining problem features and user behavior.
Publication date :
2019
Event name :
Proceedings of The 12th International Conference on Educational Data Mining (EDM 2019)
Event date :
from 02-07-2019 to 05-07-2019
Main work title :
Proceedings of The 12th International Conference on Educational Data Mining (EDM 2019)
Pages :
618
Peer reviewed :
Peer reviewed
Focus Area :
Educational Sciences
FnR Project :
FNR11242114 - Scientifically Validated Digital Learning Environments, 2016 (01/06/2017-31/01/2023) - Pedro Cardoso-leite
Commentary :
615
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since 04 April 2021

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