Glazov, Izhevsk, Russian Federation
The article discusses the actual problem of assessing the didactic complexity of sufficiently large educational texts on the example of topics and sections of a school physics course. To determine the complexity of the text, the expert must: 1) divide the text into fragments of 3–4 pages; 2) for each fragment, write out 10 key terms in a file, knowledge of which is necessary for understanding the text; 2) collect key concepts in one file Slovar.txt and evaluate the complexity of each term; 3) using a special program Slozhnost.pas, accessing the file Slovar.txt, analyze files with keywords and calculate their average information capacity; 4) for each topic, estimate the proportion of mathematical and other formulas relative to the total volume; 5) write out the key terms present in mathematical formulas from each topic in a special file and evaluate their complexity; 7) using the Slozhnost.pas program, determine the total amount of information in the key terms included in the formulas, as well as the information folding coefficient; 8) find the average number of words in sentences, the average word length, and calculate the structural complexity of the text; 9) calculate differential and integral didactic complexity for each topic. The results of the analysis are presented in a table and histograms characterizing the didactic complexity of various sections and topics of the school physics course.
didactics, information, content analysis, physics methodology, complexity, textbook
1. Batura T.V. Matematicheskaya lingvistika i avtomaticheskaya obrabotka tekstov: ucheb. posobie. Novosibirsk: RIC NGU, 2016. 166 s.
2. Velichkovskiy B.M. Kognitivnaya nauka: Osnovy psihologii poznaniya: v 2 t. T. 1. - M.: Smysl: Izdatel'skiy centr «Akademiya», 2006. 448 s.
3. Gel'fman E.G., Holodnaya M.A. Psihodidaktika shkol'nogo uchebnika. Intellektual'noe vospitanie uchaschihsya. - SPb.: Piter, 2006. 384 s.
4. Zerkal' O.V. Semanticheskaya informaciya i podhody k ee ocenke. Chast' 1. Semantiko-pragmaticheskaya informaciya i logiko-semanticheskaya koncepciya // Filosofiya nauki. 2014. № 1. C. 53-69.
5. Krioni N.K. Avtomatizirovannaya sistema analiza slozhnosti uchebnyh tekstov / N.K. Krioni, A.D. Nikin, A.V. Filippova // Vestnik UGATU (Ufa). - 2008. T. 11. № 1 (28). - S. 101-107.
6. Kuznecov I.P. Mehanizmy obrabotki semanticheskoy informacii. - M.: Nauka, 1978. 174 s.
7. Lukov Val.A., Lukov Vl.A. Metodologiya tezaurusnogo podhoda: strategiya ponimaniya // Znanie. Ponimanie. Umenie. 2014. № 1. S. 18-35.
8. Marchuk Yu.N. Komp'yuternaya lingvistika: ucheb. posobie. - M.: AST: Vostok-Zapad, 2007. 317 s.
9. Mayer R.V. Metod ocenki didakticheskoy slozhnosti shkol'nyh uchebnikov po razlichnym disciplinam // Standarty i monitoring v obrazovanii. № 5. 2020. S. 14-19.
10. Mayer R.V. Ocenka didakticheskoy slozhnosti razdelov kursa obschey fiziki // NIR. Social'no-gumanitarnye issledovaniya i tehnologii. № 1(34), 2021. S. 4248.
11. Mikk Ya.A. Optimizaciya slozhnosti uchebnogo teksta: V pomosch' avtoram i redaktoram. - M.: Prosveschenie, 1981. 119 s.
12. Myakishev G.Ya. i dr. Fizika: ucheb. dlya 10-h klassov obscheobrazovat. uchrezhdeniy: bazovyy i profil. urovni / G.Ya. Myakishev, B.B. Buhovcev, N.N. Sotskiy. - M.: Prosveschenie, 2004. 336 s.
13. Myakishev G.Ya., Buhovcev B.B. Fizika: ucheb. dlya 11-h klassov obscheobrazovat. uchrezhdeniy. - M.: Prosveschenie, 2003. - 336 s.
14. Nevdah M.M. Issledovanie informacionnyh harakteristik uchebnogo teksta metodami mnogomernogo statisticheskogo analiza // Prikladnaya informatika. 2008. № 4. S. 117-130.
15. Oborneva I.V. Avtomatizirovannaya ocenka slozhnosti uchebnyh tekstov na osnove statisticheskih parametrov: dis. … kand ped nauk. M., 2006. 165 s.
16. Samsonov N.B. i dr. Razrabotka i aprobaciya lingvisticheskoy metodiki ocenki kognitivnoy slozhnosti nauchno-uchebnogo teksta / N.B. Samsonov, E.V. Chmyhova, D.G. Davydov // Psihologicheskie issledovaniya. 2015. T. 8. № 41. S. 6.
17. Chernyahovskaya L.A. Smyslovaya struktura teksta i ee edinicy // Voprosy yazykoznaniya. 1983. № 6. S. 117-126.
18. Shalak V.I. Sovremennyy kontent-analiz. Prilozheniya v oblasti: po-litologii, psihologii, sociologii, kul'turologii, ekonomiki, reklamy. - M.: Omega-L, 2004. 272 s.
19. White M. D., Marsh E. E. Content analysis: A flexible methodology // Library trends, Vol. 55, № 1, 2006. - pp. 22-45.
