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1 Ergebnisse
1
To Dev or to Doc?: Predicting College IT Students' Prominen..:
, In:
2022 26th International Computer Science and Engineering Conference (ICSEC)
,
Rungbanapan, Varit
;
Thaipisutikul, Tipajin
;
Pongpaichet, Siripen
... - p. 105-110 , 2022
Link:
https://doi.org/10.1109/ICSEC56337.2022.10049348
RT T1 <cTitle>2022 26th International Computer Science and Engineering Conference (ICSEC)</cTitle>: T1 <Title>To Dev or to Doc?: Predicting College IT Students' Prominent Functions in Software Teams Using LMS Activities and Academic Profiles</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10049348&Exemplar=1&LAN=DE A1 Rungbanapan, Varit A1 Thaipisutikul, Tipajin A1 Pongpaichet, Siripen A1 Supratak, Akara A1 Lin, Chih-Yang A1 Tuarob, Suppawong YR 2022 K1 Deep learning K1 Training K1 Support vector machines K1 Stochastic processes K1 Documentation K1 Predictive models K1 Software K1 Software Roles K1 IT College Students K1 Education Technology K1 Multivariate Time-series K1 Machine Learning SP 105 OP 110 LK http://dx.doi.org/https://doi.org/10.1109/ICSEC56337.2022.10049348 DO https://doi.org/10.1109/ICSEC56337.2022.10049348 SF ELIB - SuUB Bremen
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