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pro vyhledávání: '"Jaques, Patricia A."'
Autor:
de Morais, Felipe, Goldoni, Diógines, Kautzmann, Tiago, da Silva, Rodrigo, Jaques, Patricia A.
Emotions and other affective states play a pivotal role in cognition and, consequently, the learning process. It is well-established that computer-based learning environments (CBLEs) that can detect and adapt to students' affective states can enhance
Externí odkaz:
http://arxiv.org/abs/2310.13711
Efficient distributed numerical word representation models (word embeddings) combined with modern machine learning algorithms have recently yielded considerable improvement on automatic document classification tasks. However, the effectiveness of suc
Externí odkaz:
http://arxiv.org/abs/1809.01771
This article presents the results of an experiment in which we investigated how prior algebra knowledge and personality can influence the permanence time from the confusion state to frustration/boredom state in a computer learning environment. Our ex
Externí odkaz:
http://arxiv.org/abs/1803.10810
Autor:
De Morais, Felipe, Jaques, Patricia A.
Publikováno v:
Informatics in Education - An International Journal. 21(1):55-90
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1036020
Autor:
Lyra, Kamila T., Isotani, Seiji, Reis, Rachel C. D., Marques, Leonardo B., Pedro, Laís Z., Jaques, Patrícia A., Bitencourt, Ig I.
Infographic is a type of information visualization that uses graphic design to enhance human ability to identify patterns and trends. It is popularly used to support spread of information. Yet, there are few studies that investigate how infographics
Externí odkaz:
http://arxiv.org/abs/1605.09170
Autor:
Morais, Felipe de, Jaques, Patricia A.
Publikováno v:
International Journal of Artificial Intelligence in Education (Springer Science & Business Media B.V.); Jun2024, Vol. 34 Issue 2, p519-544, 26p
Akademický článek
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Publikováno v:
In Computers & Education February 2019 129:92-105
Publikováno v:
In Information Sciences January 2019 471:216-232
Affective states in computer-supported collaborative learning: Studying the past to drive the future
Autor:
Reis, Rachel Carlos Duque, Isotani, Seiji, Rodriguez, Carla Lopes, Lyra, Kamila Takayama, Jaques, Patrícia Augustin, Bittencourt, Ig Ibert
Publikováno v:
In Computers & Education May 2018 120:29-50