Educational Information Quantization for Improving Content Quality in Learning Management Systems

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Bibliographic Details
Title: Educational Information Quantization for Improving Content Quality in Learning Management Systems
Language: English
Authors: Rybanov, Alexander Aleksandrovich
Source: Turkish Online Journal of Distance Education. Oct 2014 15(4):303-321.
Availability: Anadolu University. Office of the Rector, Eskisehir, 26470, Turkey. Tel: +90-222-335-34-53; Fax: +90-222-335-34-86; e-mail: rektor@anadolu.edu.tr; e-mail: TOJDE@anadolu.edu.tr; Web site: http://tojde.anadolu.edu.tr/
Peer Reviewed: Y
Page Count: 19
Publication Date: 2014
Document Type: Journal Articles
Reports - Descriptive
Descriptors: Integrated Learning Systems, Management Systems, Electronic Learning, Educational Research, Equations (Mathematics), Statistical Analysis, Statistical Studies, Content Analysis, Readability Formulas, Morphology (Languages)
ISSN: 1302-6488
Abstract: The article offers the educational information quantization method for improving content quality in Learning Management Systems. The paper considers questions concerning analysis of quality of quantized presentation of educational information, based on quantitative text parameters: average frequencies of parts of speech, used in the text; formal text readability indexes; lexical and syntactic text variety factors. The process of obtaining quantitative parameter values is focused on use of the phpMorphy morphological analysis library.
Abstractor: As Provided
Number of References: 15
Entry Date: 2014
Accession Number: EJ1044224
Database: ERIC
FullText Links:
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  Data: Educational Information Quantization for Improving Content Quality in Learning Management Systems
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  Data: <searchLink fieldCode="AR" term="%22Rybanov%2C+Alexander+Aleksandrovich%22">Rybanov, Alexander Aleksandrovich</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Turkish+Online+Journal+of+Distance+Education%22"><i>Turkish Online Journal of Distance Education</i></searchLink>. Oct 2014 15(4):303-321.
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  Data: Anadolu University. Office of the Rector, Eskisehir, 26470, Turkey. Tel: +90-222-335-34-53; Fax: +90-222-335-34-86; e-mail: rektor@anadolu.edu.tr; e-mail: TOJDE@anadolu.edu.tr; Web site: http://tojde.anadolu.edu.tr/
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  Data: 19
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  Data: 2014
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  Data: <searchLink fieldCode="DE" term="%22Integrated+Learning+Systems%22">Integrated Learning Systems</searchLink><br /><searchLink fieldCode="DE" term="%22Management+Systems%22">Management Systems</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+Learning%22">Electronic Learning</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+Research%22">Educational Research</searchLink><br /><searchLink fieldCode="DE" term="%22Equations+%28Mathematics%29%22">Equations (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+Analysis%22">Statistical Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+Studies%22">Statistical Studies</searchLink><br /><searchLink fieldCode="DE" term="%22Content+Analysis%22">Content Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Readability+Formulas%22">Readability Formulas</searchLink><br /><searchLink fieldCode="DE" term="%22Morphology+%28Languages%29%22">Morphology (Languages)</searchLink>
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  Data: The article offers the educational information quantization method for improving content quality in Learning Management Systems. The paper considers questions concerning analysis of quality of quantized presentation of educational information, based on quantitative text parameters: average frequencies of parts of speech, used in the text; formal text readability indexes; lexical and syntactic text variety factors. The process of obtaining quantitative parameter values is focused on use of the phpMorphy morphological analysis library.
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  Data: 2014
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    Languages:
      – Text: English
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      Pagination:
        PageCount: 19
        StartPage: 303
    Subjects:
      – SubjectFull: Integrated Learning Systems
        Type: general
      – SubjectFull: Management Systems
        Type: general
      – SubjectFull: Electronic Learning
        Type: general
      – SubjectFull: Educational Research
        Type: general
      – SubjectFull: Equations (Mathematics)
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      – SubjectFull: Statistical Analysis
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      – SubjectFull: Statistical Studies
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      – SubjectFull: Content Analysis
        Type: general
      – SubjectFull: Readability Formulas
        Type: general
      – SubjectFull: Morphology (Languages)
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      – TitleFull: Educational Information Quantization for Improving Content Quality in Learning Management Systems
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              M: 10
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