{"title":"学校物理多主题课程的教学复杂性及其评价","authors":"R. Mayer","doi":"10.12737/1998-1740-2022-10-2-26-33","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":338903,"journal":{"name":"Standards and Monitoring in Education","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Didactic Complexity of Various Topics School Physics Course and Its Evaluation\",\"authors\":\"R. Mayer\",\"doi\":\"10.12737/1998-1740-2022-10-2-26-33\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":338903,\"journal\":{\"name\":\"Standards and Monitoring in Education\",\"volume\":\"104 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Standards and Monitoring in Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.12737/1998-1740-2022-10-2-26-33\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Standards and Monitoring in Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12737/1998-1740-2022-10-2-26-33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Didactic Complexity of Various Topics School Physics Course and Its Evaluation
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.