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1
Affect and Learning in the LAUREATE Dataset:
, In:
Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers
,
Fu, Enqi
;
Laporte, Matias
;
Guerrero Toro, Cindy
.. - p. 168-172 , 2022
Link:
https://dl.acm.org/doi/10.1145/3544793.3563401
RT T1 <cTitle>Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers</cTitle>: T1 <Title>Affect and Learning in the LAUREATE Dataset</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3563401&Exemplar=1&LAN=DE A1 Fu, Enqi A1 Laporte, Matias A1 Guerrero Toro, Cindy A1 Gjoreski, Martin A1 Langheinrich, Marc PB ACM YR 2022 K1 Affect K1 Cognition K1 Dataset K1 Engagement K1 Learning K1 Self-Report K1 Students K1 Well-Being K1 Human-centered computing K1 Human computer interaction (HCI) K1 HCI design and evaluation methods K1 Field studies K1 Applied computing K1 Education K1 Collaborative and social computing SP 168 OP 172 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3544793.3563401 DO https://dl.acm.org/doi/10.1145/3544793.3563401 SF ELIB - SuUB Bremen
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