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...
Сохранить в:
Главные авторы: | Acosta-Gonzaga, Elizabeth, Ramirez-Arellano, Aldo |
---|---|
Формат: | Online |
Язык: | spa |
Опубликовано: |
Universidad Autónoma de Tamaulipas
2020
|
Online-ссылка: | https://revistaciencia.uat.edu.mx/index.php/CienciaUAT/article/view/1392 |
Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|
Схожие документы
-
Prerequisites for academic learning in children with high and low school performance
по: Victoria, Angélica, et al.
Опубликовано: (2019) -
SELF-CONCEPT AND SOCIAL SUPPORT IN HIGH SCHOOL STUDENTS. A PREDICTIVE STUDY
по: Reynoso González, Oscar Ulises, et al.
Опубликовано: (2018) -
Theoretical-comparative analysis of entrepreneurial education in higher education institutions
по: Ortiz-Perez, Yaneth, et al.
Опубликовано: (2018) -
Estudio comparativo de técnicas de analítica del aprendizaje para predecir el rendimiento académico de los estudiantes de educación superior
по: ELIZABETH ACOSTA GONZAGA, et al.
Опубликовано: (2021) -
Do the Theory of Planned Behavior, and Perceived Cheating predict academic dishonesty?
по: Reskala, Felix
Опубликовано: (2023)