一种新的提高学生成绩的参数优化策略

2020 X International Conference on Virtual Campus (JICV) Pub Date : 2020-12-03 DOI:10.1109/JICV51605.2020.9375786

Mohammed El Fouki, N. Aknin, K. E. E. Kadiri

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引用次数: 0

摘要

近年来，人工智能已经涉足教育领域，以发现关于学生的新知识，改善教育环境。机器学习，更具体地说是数据挖掘，是人工智能在教育数据挖掘方面最成功的领域之一。在本研究中，我们提出了一种基于深度学习模型的先进参数优化策略，用于预测Abdelmalk Essaadi大学运营的电子学习平台的学生表现。

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A new parameter optimization strategy to improve students’ performances

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.

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2020 X International Conference on Virtual Campus (JICV)

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