Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Foreign Countries | 2 |
| Learning Analytics | 2 |
| Prediction | 2 |
| Undergraduate Students | 2 |
| Academic Failure | 1 |
| Accuracy | 1 |
| Behavior Patterns | 1 |
| Class Size | 1 |
| Data Collection | 1 |
| Decision Making | 1 |
| Distance Education | 1 |
| More ▼ | |
Author
| Bezerra, Luis Naito Mendes | 1 |
| Canto, Natalia Gil | 1 |
| Silva, Márcia Terra | 1 |
| Veroneze, Gabriela de Mattos | 1 |
| de Oliveira, Marcelo… | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
| High Schools | 1 |
| Secondary Education | 1 |
Audience
Location
| Brazil | 2 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Canto, Natalia Gil; de Oliveira, Marcelo Albuquerque; Veroneze, Gabriela de Mattos – European Journal of Educational Research, 2022
The article aims to develop a machine-learning algorithm that can predict student's graduation in the Industrial Engineering course at the Federal University of Amazonas based on their performance data. The methodology makes use of an information package of 364 students with an admission period between 2007 and 2019, considering characteristics…
Descriptors: Engineering Education, Prediction, Graduation, Industrial Arts
Bezerra, Luis Naito Mendes; Silva, Márcia Terra – International Journal of Distance Education Technologies, 2020
In the current context of distance learning, learning management systems (LMSs) make it possible to store large volumes of data on web browsing and completed assignments. To understand student behavior patterns in this type of environment, educators and managers must rethink conventional approaches to the analysis of these data and use appropriate…
Descriptors: Learning Analytics, Data Collection, Class Size, Online Courses

Peer reviewed
Direct link
