Result: PC2PSO: personalized e-course composition based on Particle Swarm Optimization

Title:
PC2PSO: personalized e-course composition based on Particle Swarm Optimization
Authors:
CHU, Chih-Ping, CHANG, Yi-Chun, TSAI, Cheng-Chang
Source:
Neural computing & applications (Print). 20(1):141-154
Publisher Information:
London: Springer, 2011.
Publication Year:
2011
Physical Description:
print,
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Neurology, Neurologie, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Mathematiques, Mathematics, Analyse mathématique, Mathematical analysis, Calcul des variations et contrôle optimal, Calculus of variations and optimal control, Probabilités et statistiques, Probability and statistics, Statistiques, Statistics, Applications, Biologie, psychologie, sciences sociales, Biology, psychology, social sciences, Analyse numérique. Calcul scientifique, Numerical analysis. Scientific computation, Analyse numérique, Numerical analysis, Méthodes numériques en programmation mathématique, optimisation et calcul variationnel, Numerical methods in mathematical programming, optimization and calculus of variations, Optimisation et calcul variationnel numériques, Numerical methods in optimization and calculus of variations, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Apprentissage et systèmes adaptatifs, Learning and adaptive systems, Algorithme, Algorithm, Algoritmo, Apprentissage conceptuel, Concept learning, Aprendizaje conceptual, Calcul neuronal, Neural computation, computación neuronal, Cible, Target, Blanco, Composition, Composicion, Méthode optimisation, Optimization method, Método optimización, Optimisation, Optimization, Optimización, Réseau neuronal, Neural network, Red neuronal, Système intelligent, Intelligent system, Sistema inteligente, 49XX, 62P12, 65K10, 65Kxx
Document Type:
Academic journal Article
File Description:
text
Language:
English
Author Affiliations:
Department of Computer Science and Information Engineering, National Cheng-Kung University, Tainan, Tawain, Province of China
ISSN:
0941-0643
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=23836443
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems

Mathematics
Accession Number:
edscal.23836443
Database:
PASCAL Archive

Further Information

This paper proposes a Personalized e-Course Composition approach based on Particle Swarm Optimization (PSO) algorithm, called PC2PSO, to compose appropriate e-learning materials into personalized e-courses for individual learners. The PC2PSO composes a personalized e-course according to (1) whether or not the covered learning concepts of the personalized e-course meets the expected learning target of a learner, (2) whether or not the difficulty of the e-learning material matches a learner's ability, (3) the limitation of learning time for individual learners, and (4) the balance of the weight of learning concepts that are covered in a personalized e-course. PC2PSO can provide a truly personalized learning environment when used in conjunction with an Intelligent Tutoring System (ITS). When an e-course authoring tool is based on the proposed approach, the PC2PSO can facilitate instructors in selecting appropriate e-learning materials from a mass of candidate e-learning materials, and then saves time and effort in the e-course editing process.