Educational Information Quantization 
For Improving Content Quality 
In Learning Management Systems


Alexander Aleksandrovich RYBANOV


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.


KEYWORDS: E-Learning, Distance Learning, Web-Based E-Learning System, Educational Text Quantization, Educational Content, Formal Readability Index, Quantitative Characteristics.


DOI : 10.17718/tojde.71037 
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