Eighth International Conference on Technological Ecosystems for Enhancing Multiculturality 2020
DOI: 10.1145/3434780.3436596
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Early Warning Methodology for dropping out of university degrees

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Cited by 6 publications
(4 citation statements)
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“…As variáveis destacadas são adaptadas com base no curso específico. (Meca et al, 2020). ER10: Esse trabalho trata da classificação do abandono de alunos em programas universitários, foram utilizados algoritmos baseados em árvore de decisão, Naive Bayes, K-NN, modelos lineares e aprendizado profundo.…”
Section: Seleção De Atributosunclassified
“…As variáveis destacadas são adaptadas com base no curso específico. (Meca et al, 2020). ER10: Esse trabalho trata da classificação do abandono de alunos em programas universitários, foram utilizados algoritmos baseados em árvore de decisão, Naive Bayes, K-NN, modelos lineares e aprendizado profundo.…”
Section: Seleção De Atributosunclassified
“…Nonetheless, most private universities in Vietnam should have the understanding and drive for satisfaction and retention. On the other hand, students' satisfaction and learning success are critical in developing excellent employees and managers, providing substantial benefits to the growth of a nation's economy and society [19][20][21] . In the context of a competitive educational market, student retention is seen as a critical statistic for determining how well an educational institution satisfies the demands of its students 22 .…”
Section: Introductionmentioning
confidence: 99%
“…In the field of education, "academic stress" has been studied due to its direct relationship with the psychological well-being of students and is considered to be a barrier to engagement (Grant et al, 2004). It has been associated with physical symptoms (Meca et al, 2020), psychological symptoms such as anxiety and depression (Li et al, 2022), academic performance and engagement, and decreased activity and productivity (Cheung et al, 2020). Perceived stress may be due to interactions with peers and teachers, the demands of academic work and school rules, and the connection between leisure spaces and school work (Oporto et al, 2022).…”
mentioning
confidence: 99%