Prediction of course grades in computer science higher education program via a combination of loss functions in lstm model
In the realm of education, the timely identification of potential challenges, such as learning difficulties leading to dropout risks, and the facilitation of personalized learning, emphasizes the crucial importance of early grade prediction. This study seeks to connect predictive modeling with edu...
Guardado en:
| Autores Principales: | , , |
|---|---|
| Formato: | Artículo |
| Lenguaje: | English |
| Publicado: |
Institute of Electrical and Electronics Engineers
2024
|
| Acceso en línea: | http://psasir.upm.edu.my/id/eprint/105763/1/Prediction_of_Course_Grades_in_Computer_Science_Higher_Education_Program_via_a_Combination_of_Loss_Functions_in_LSTM_Model.pdf |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Sea el primero en dejar un comentario!