Generating Intelligent Remedial Materials with Genetic Algorithms and Concept Maps-Reference-Cited by-同舟云学术

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Generating Intelligent Remedial Materials with Genetic Algorithms and Concept Maps

Published:2022 Issue:2 Volume:34 Page:1333-1349
ISSN:1079-8587
Container-title:Intelligent Automation & Soft Computing
language:en
Short-container-title:

Author:

Lin Che-Chern,Pan Chien-Chun

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

https://www.techscience.com/iasc/v34n2/47644/pdf

Reference32 articles.

1. Learning How to Learn

2. A genetic algorithm-based personalized remedial learning system for learning object-oriented concepts of Java;Lin;IEEE Transactions on Education,2019

3. A concept map-based remedial learning system with applications to the IEEE floating-point standard and MIPS encoding;Lin;IEEE Transactions on Education,2021

4. An effective approach for test-sheet composition with large-scale item banks;Hwang;Computers & Education,2006

5. An innovative parallel test sheet composition approach to meet multiple assessment criteria for national tests;Hwang;Computers & Education,2008

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