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Educational Information Quantization 
For Improving Content Quality 
In Learning Management Systems

Year 2014, Volume: 15 Issue: 4, 303 - 321, 01.12.2014
https://doi.org/10.17718/tojde.71037

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.

References

  • Ageev, V. V., Sergevnina, V. M., Yakovleva, E. I. (2011). Means for optimization of linguodidactics for the correspondence mode of study with reduced period of training.
  • Bulletin of the Nizhny Novgorod University N. I. Lobachevsky, No. 3-1, 37-43. Avanesov, V. S. (2012). Application of tasks in a test form and quantized educational texts in new educational technologie. Pedagogical measurements, 2, 75-91.
  • Cepni, S., Gokdere, M., Kucuk, M. (2002). Adaptation of the readability formulas into the Turkish science textbooks. Energy Education Science and Technology, 10(1), 49-58.
  • DuBay, W. H. (2004). The principles of readability. Retrieved February 12, 2008, from http://www.nald.ca/fulltext/readab/readab.pdf
  • Flesh, R. (1946). The Art of Plain Talk. New York: Haper and Brothers Publisher, 210 p.
  • Flesh, R. (1974). The Art of Readability Writing, New York: Harper and Row.
  • Grieve, J. (2007). Quantitative authorship attribution: An evaluation of techniques.
  • Literary and Linguistic Computing, vol. 22 (3), 251-270
  • Hall, R. H., Hanna, P. (2004). The impact of web page text-background colour combinations on readability, retention, aesthetics and behavioural intention. Behaviour and Information Technology, vol. 23 (3), 183-195
  • Hargis, G. (2000). Readability and computer documentation. ACM Journal of Computer Documentation, 24(3), 122-131.
  • Johnson, K. (2008). Quantitative methods in linguistics. Malden: Blackwell.
  • Rybanov, A. A. (2011). Measurement of quality for texts of electronic tutorials. School technologies, 6, 172-174.
  • Rybanov, A. A. (2013). Educatee's thesaurus as an object of measuring learned material of the distance learning course. Turkish Online Journal of Distance Education, Vol. 14, No. 4, 12-25.
  • Tuldava, J. (1975). About Measurement of Text Difficulties. In: Proc. Of Tartu State University, 102–120
  • Tuldava, J. (2004). The development of statistical stylistics (a survey). Journal of
  • Quantitative Linguistics, vol. 11 (1-2), 141-151
  • Wiio, O. A. (1968). Readability. Compression and Readership. Acta Universitatis
  • Tamperensis, vol. 22 (A), p. 161.
Year 2014, Volume: 15 Issue: 4, 303 - 321, 01.12.2014
https://doi.org/10.17718/tojde.71037

Abstract

References

  • Ageev, V. V., Sergevnina, V. M., Yakovleva, E. I. (2011). Means for optimization of linguodidactics for the correspondence mode of study with reduced period of training.
  • Bulletin of the Nizhny Novgorod University N. I. Lobachevsky, No. 3-1, 37-43. Avanesov, V. S. (2012). Application of tasks in a test form and quantized educational texts in new educational technologie. Pedagogical measurements, 2, 75-91.
  • Cepni, S., Gokdere, M., Kucuk, M. (2002). Adaptation of the readability formulas into the Turkish science textbooks. Energy Education Science and Technology, 10(1), 49-58.
  • DuBay, W. H. (2004). The principles of readability. Retrieved February 12, 2008, from http://www.nald.ca/fulltext/readab/readab.pdf
  • Flesh, R. (1946). The Art of Plain Talk. New York: Haper and Brothers Publisher, 210 p.
  • Flesh, R. (1974). The Art of Readability Writing, New York: Harper and Row.
  • Grieve, J. (2007). Quantitative authorship attribution: An evaluation of techniques.
  • Literary and Linguistic Computing, vol. 22 (3), 251-270
  • Hall, R. H., Hanna, P. (2004). The impact of web page text-background colour combinations on readability, retention, aesthetics and behavioural intention. Behaviour and Information Technology, vol. 23 (3), 183-195
  • Hargis, G. (2000). Readability and computer documentation. ACM Journal of Computer Documentation, 24(3), 122-131.
  • Johnson, K. (2008). Quantitative methods in linguistics. Malden: Blackwell.
  • Rybanov, A. A. (2011). Measurement of quality for texts of electronic tutorials. School technologies, 6, 172-174.
  • Rybanov, A. A. (2013). Educatee's thesaurus as an object of measuring learned material of the distance learning course. Turkish Online Journal of Distance Education, Vol. 14, No. 4, 12-25.
  • Tuldava, J. (1975). About Measurement of Text Difficulties. In: Proc. Of Tartu State University, 102–120
  • Tuldava, J. (2004). The development of statistical stylistics (a survey). Journal of
  • Quantitative Linguistics, vol. 11 (1-2), 141-151
  • Wiio, O. A. (1968). Readability. Compression and Readership. Acta Universitatis
  • Tamperensis, vol. 22 (A), p. 161.
There are 18 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Alexander Aleksandrovich Rybanov This is me

Publication Date December 1, 2014
Submission Date February 27, 2015
Published in Issue Year 2014 Volume: 15 Issue: 4

Cite

APA Rybanov, A. A. (2014). Educational Information Quantization 
For Improving Content Quality 
In Learning Management Systems. Turkish Online Journal of Distance Education, 15(4), 303-321. https://doi.org/10.17718/tojde.71037