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DC Field | Value | Language |
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dc.contributor.author | BENSEDIRA, FEDJRIA | - |
dc.date.accessioned | 2024-11-28T14:20:28Z | - |
dc.date.available | 2024-11-28T14:20:28Z | - |
dc.date.issued | 2024 | - |
dc.identifier.uri | http://dspace.univ-guelma.dz/jspui/handle/123456789/16462 | - |
dc.description.abstract | hrough our project, we explore how artificial intelligence (AI) can improve e-learning platforms by making them more flexible and accessible. Our objective is to design an intelligent assistance agent that exploits reinforcement learning to assist students by offering them tailor-made courses. The algorithm used is Q-Learning, where we have been able to define the different situations and possible states A learner could find himself in, and propose the best action to take to ensure easy and effective progression through the learning process. | en_US |
dc.language.iso | fr | en_US |
dc.publisher | University of guelma | en_US |
dc.subject | U techniques d’apprentissage automatique,Un système d'assistance intelligent | en_US |
dc.title | Un système d'assistance intelligent à base des techniques d’apprentissage automatique. | en_US |
dc.type | Working Paper | en_US |
Appears in Collections: | Master |
Files in This Item:
File | Description | Size | Format | |
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F5_8_BENSEDIRA_FEDJRIA.pdf | 11,41 MB | Adobe PDF | View/Open |
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