Comparative study of learning analytics techniques to predict student academic performance in higher education
The issue of school dropout involves factors such as students’ engagement that can predict his or her success in school. It has been shown that student engagement has three components: behavioral, emotional and cognitive. Motivation and engagement are strongly related since the former is a precursor...
Na minha lista:
Main Authors: | Acosta-Gonzaga, Elizabeth, Ramirez-Arellano, Aldo |
---|---|
Formato: | Online |
Idioma: | spa |
Publicado em: |
Universidad Autónoma de Tamaulipas
2020
|
Acesso em linha: | https://revistaciencia.uat.edu.mx/index.php/CienciaUAT/article/view/1392 |
Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
Registos relacionados
-
Prerequisites for academic learning in children with high and low school performance
Por: Victoria, Angélica, et al.
Publicado em: (2019) -
SELF-CONCEPT AND SOCIAL SUPPORT IN HIGH SCHOOL STUDENTS. A PREDICTIVE STUDY
Por: Reynoso González, Oscar Ulises, et al.
Publicado em: (2018) -
Theoretical-comparative analysis of entrepreneurial education in higher education institutions
Por: Ortiz-Perez, Yaneth, et al.
Publicado em: (2018) -
Estudio comparativo de técnicas de analítica del aprendizaje para predecir el rendimiento académico de los estudiantes de educación superior
Por: ELIZABETH ACOSTA GONZAGA, et al.
Publicado em: (2021) -
Do the Theory of Planned Behavior, and Perceived Cheating predict academic dishonesty?
Por: Reskala, Felix
Publicado em: (2023)