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COVES: A Cognitive-Affective Deep Model that Personalizes M..:

, In: Proceedings of the 31st ACM International Conference on Multimedia,

Yu, Hao ; Allessio, Danielle A. ; Lee, Will... - p. 6152-6160 , 2023

Link: https://dl.acm.org/doi/10.1145/3581783.3613965

RT 
T1 <cTitle>Proceedings of the 31st ACM International Conference on Multimedia</cTitle>: T1 <Title>COVES: A Cognitive-Affective Deep Model that Personalizes Math Problem Difficulty in Real Time and Improves Student Engagement with an Online Tutor</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3613965&Exemplar=1&LAN=DE
				
A1 Yu, Hao
A1 Allessio, Danielle A.
A1 Lee, Will
A1 Rebelsky, William
A1 Sylvia, Frank
A1 Murray, Tom
A1 Magee, John J.
A1 Arroyo, Ivon
A1 Woolf, Beverly P.
A1 Bargal, Sarah Adel
A1 Betke, Margrit
PB ACM
YR 2023
K1 deep machine learning
K1 facial expression recognition
K1 intelligent tutoring system
K1 learning outcome
K1 log data
K1 multi-modal fusion
K1 problem difficulty selector
K1 real-time prediction
K1 Human-centered computing
K1 Human computer interaction (HCI)
K1 Applied computing
K1 Education
K1 Computing methodologies
K1 Artificial intelligence
K1 Computer vision
SP 6152
OP 6160
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3581783.3613965
DO https://dl.acm.org/doi/10.1145/3581783.3613965
SF ELIB - SuUB Bremen

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