Predicting Academic Performance in Mathematics Using Machine Learning Algorithms
Several factors, directly and indirectly, influence students’ performance in their various activities. Children and adolescents in the education process generate enormous data that could be analyzed to promote changes in current educational models. Therefore, this study proposes using machine learni...
שמור ב:
| מחבר ראשי: | Espinosa-Pinos, Carlos (author) |
|---|---|
| מחברים אחרים: | Ayala-Chauvin, Manuel (author), Buele, Jorge (author) |
| פורמט: | article |
| שפה: | eng |
| יצא לאור: |
2022
|
| גישה מקוונת: | https://link.springer.com/chapter/10.1007/978-3-031-19961-5_2 https://hdl.handle.net/20.500.14809/3974 |
| תגים: |
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
|
פריטים דומים
-
Prediction of academic situation in undergraduate students using machine learning algorithms.
מאת: Gamboa Unsihuay, Jesús Eduardo
יצא לאור: (2022) -
Predicting Academic Performance in Psychology Students from Their Social Skills Using Classification Algorithms
מאת: Espinosa-Pinos, Carlos
יצא לאור: (2023) -
Machine Learning (ML) algorithms: Prediction of COVID-19 cases in Bolivia
מאת: Ruiz Otondo, Juan
יצא לאור: (2021) -
Modeling and Prediction of the Energy Intensity Index by Provinces of Ecuador Using Neural Networks and Cluster Analysis with Machine Learning Algorithms
מאת: Rodríguez, Lester
יצא לאור: (2025) -
Gamification: From Motivation and Challenges to Improving Academic Performance in Learning Mathematics
מאת: Núñez-Naranjo, Aracelly
יצא לאור: (2024)