Didactic Complexity of Various Topics School Physics Course and Its Evaluation

R. Mayer
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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.
学校物理多主题课程的教学复杂性及其评价
本文以学校物理课程的主题和章节为例,讨论了评估足够大的教学文本的教学复杂性的实际问题。为了确定文本的复杂程度,专家必须:1)将文本分成3-4页的片段;2)对于每个片段,在一个文件中写出10个关键术语,了解这些术语对于理解文本是必要的;2)将关键概念收集到一个文件Slovar.txt中,并评估每个术语的复杂度;3)使用特殊程序Slozhnost。pas,访问文件Slovar.txt,用关键词分析文件,计算其平均信息容量;4)对于每个主题,估计数学和其他公式相对于总量的比例;5)将每个题目的数学公式中出现的关键术语写在一个专门的文件中,并评估其复杂程度;7)使用Slozhnost。通过程序,确定公式中包含的关键项的信息总量,以及信息折叠系数;8)求出句子的平均字数、平均字长,并计算文本的结构复杂度;9)计算每个主题的微分和积分教学复杂性。分析结果以表格和直方图的形式呈现,描述了学校物理课程中各个部分和主题的教学复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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