Cited by 40Intelligent Tutoring Systems and Adaptive LearningEducational Technology and AssessmentOnline Learning and Analytics

A personalized e-course composition based on a genetic algorithm with forcing legality in an adaptive learning system

Chang, Ting-Yi, Ke, Yan-Ru·2013·Journal of Network and Computer Applications

Integrity signals

Registry

Crossref · 10.1016/j.jnca.2012.04.002

Cites

33 of 33 references verified0 citation errors · 0 not checkable

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  • In [33], genetic algorithm with forcing legality and particle swarm optimization were used to create personalized e-courses by selecting appropriate e-learning materials from a database.

    “The algorithm is utilized for creating personalized e-courses in adaptive learning systems.The goal is to efficiently select appropriate e-learning materials from a database tailored to individual learners.”

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Authors
Chang, T.-Y., & Ke, Y.-R.
Affiliations
National Changhua University of Education (TW)
Corresponding author
Chang, Ting-Yi
Venue
Journal of Network and Computer Applications
Publisher
Elsevier BV
Published
2013-01
Volume
36
Issue
1
Pages
533-542
ISSN
1084-8045 (ISSN-L)
OpenAlex
W1983930826
Cited by
40
References
33
Citations by year
2025: 3 · 2024: 5 · 2023: 4 · 2022: 5 · 2021: 4 · 2020: 2 · 2019: 5 · 2018: 2 · 2017: 3 · 2016: 2 · 2015: 4 · 2013: 1
FWCI
1.57
Type
journal article
Language
en
Open access
closed
Locations
Journal of Network and Computer Applications (publishedVersion)
Funders
National Science Council
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
  • Physical Sciences › Computer Science › Information Systems › Educational Technology and Assessment
  • Physical Sciences › Computer Science › Computer Science Applications › Online Learning and Analytics
Keywords
adaptive learning systems, genetic algorithm, particle swarm optimization, improved particle swarm optimization, search space reduction

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