Hierarchical optimization of personalized experiences for e-Learning systems through evolutionary models

Neural Computing and Applications

Volumn 20, Issue 5, 2011, Pages 641-657

  Acampora, Giovanni ^a   Gaeta, Matteo ^a   Loia, Vincenzo ^a  

^a UNIVERSITY OF SALERNO   (Italy)

Author keywords

Distributed evolutionary computation; e Learning systems; Memetics algorithms

Indexed keywords

COMPUTATIONALLY EFFICIENT; DISTRIBUTED EVOLUTIONARY COMPUTATION; E-LEARNING ENVIRONMENT; E-LEARNING SYSTEMS; EVOLUTIONARY MODELS; HIERARCHICAL OPTIMIZATION; LEARNING ENVIRONMENTS; LEARNING METHODS; MEMETIC APPROACH; MEMETICS ALGORITHMS; MULTI-CORES; NEW ECONOMY; ONTOLOGICAL MODELS; ONTOLOGICAL REPRESENTATION; OPTIMIZATION PROBLEMS; PERSONALIZATIONS; SUITABLE SOLUTIONS; SUPPORT LEARNING; SUPPORT MECHANISM;

ARTIFICIAL INTELLIGENCE; COMPETITION; COMPUTATIONAL EFFICIENCY; E-LEARNING; HIERARCHICAL SYSTEMS; ONTOLOGY; OPTIMIZATION; STUDENTS;

LEARNING SYSTEMS;

EID: 79958177866     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-009-0273-z     Document Type: Article

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