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Volumn 9112, Issue , 2015, Pages 541-544

Using artificial neural networks to identify learning styles

Author keywords

Artificial neural network; Felder silverman learning style model; Identification of learning styles

Indexed keywords

ADAPTIVE SYSTEMS; ARTIFICIAL INTELLIGENCE; EDUCATION; EDUCATION COMPUTING; NEURAL NETWORKS; SURVEYS; TEACHING;

EID: 84948969559     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-19773-9_57     Document Type: Conference Paper
Times cited : (28)

References (12)
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  • 3
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  • 4
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    • Evaluating Bayesian networks’ precision for detecting students’ learning styles
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    • Automatic detection of learning styles for an e-learning system
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    • Özpolat, E.1    Akar, G.B.2
  • 6
    • 77954328155 scopus 로고    scopus 로고
    • Supporting teachers in identifying students’ learning styles in learning management systems: An automatic student modelling approach
    • Graf, S., Kinshuk T, Liu T.-C.: Supporting teachers in identifying students’ learning styles in learning management systems: An automatic student modelling approach. Educational Technology & Society 12(4), 3–14 (2009)
    • (2009) Educational Technology & Society , vol.12 , Issue.4 , pp. 3-14
    • Graf, S.1    Kinshuk, T.2    Liu, T.-C.3
  • 7
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    • A conversational intelligent tutoring system to automatically predict learning styles
    • Latham, A., Crockett, K., McLean, D., Edmonds, B.: A conversational intelligent tutoring system to automatically predict learning styles. Computers & Education 59(1), 95–109 (2012)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.