Evaluate learner level assessment in intelligent e-learning systems using probabilistic network model-Reference-Cited by-同舟云学术

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Evaluate learner level assessment in intelligent e-learning systems using probabilistic network model

Published:2022 Issue: Volume: Page:255-265
ISSN:
Container-title:Artificial Intelligence and Machine Learning for EDGE Computing
language:
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Author:

Kaliwal Rohit B.,Deshpande Santosh L.

Publisher

Elsevier

Reference14 articles.

1. PeRSIVA: an empirical evaluation method of a student model of an intelligent e-learning environment for computer programming;Chrysafiadi;Comput. Educ.,2013

2. Knowledge-Based Intelligent Tutoring System for Teaching Mongo Database;Hilles,2017

3. E-Learning Definition and Explanation (E-learning, Online Training, Online Learning);Stockley,2006

4. Dynamic adaptive mechanism in learning management system based on learning styles;Alkhuraiji,2011

5. Efficiency of probabilistic network model for assessment in e-learning system;Kaliwal;Int. J. Recent Technol. Eng.,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bayesian Network Model Based Classifiers Are Used in an Intelligent E-learning System;Communications in Computer and Information Science;2024

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