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About Revue D'intelligence Artificielle: Received: 1 October 2021 Accepted: 21 October 2021
1. The document discusses using a deep neural network model to identify predictive variables and evaluate student academic performance based on internal and external factors. 2. Multiple predictive variables are considered to assess student performance, with the goal of developing an efficient template for evaluation. 3. The proposed deep neural network model is compared to traditional models and is found to achieve higher accuracy in predicting student performance based on factors like test scores, homework, and background.
Detailed Information
| Author: | ['Abdelaali Bakhouche'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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