学校物理多主题课程的教学复杂性及其评价

R. Mayer
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引用次数: 0

摘要

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。
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.
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