A new parameter optimization strategy to improve students’ performances

Autor: Noura Aknin, K. Ed El. Kadiri, Mohammed El Fouki
Rok vydání: 2020
Předmět:
Zdroj: 2020 X International Conference on Virtual Campus (JICV).
DOI: 10.1109/jicv51605.2020.9375786
Popis: In recent years, artificial intelligence has been involved in the field of education in order to discover new knowledge about students and to improve educational environments. Machine learning, and more specifically data mining, is one of the most successful areas of artificial intelligence for educational data mining. In this study, we propose an advanced parameter optimization strategy based on deep learning model to predict students’ performances for an e-learning platform operated by Abdelmalk Essaadi University.
Databáze: OpenAIRE