用Sagemath Cloud研究代数和数学分析的方法
The Methodical Aspects of the Algebra and the Mathematical Analysis Study Using the Sagemath Cloud
摘要：
数学教育的质量在很大程度上取决于整个教育的质量。其主要思想可以概括为：为了使青年一代能够充分适应时代的要求，必须创造条件进行高质量的数学教育。提高中学生数学教育质量是当前最紧迫的问题之一。学校数学课程的内容及其教学方法一直是毫无限制的，有时甚至是暴风雨般的科学辩论的主题。有特别真实的方法教学代数和分析在高中。仍然在学习过程中的代数概念和原则的分析是在这样一个抽象和概括的形式，学生可能有相当大的困难，以映射这些一般的抽象概念，以某些具体的形象，他们是概括。可以通过使用适当的计算机技术来提高教育质量指标。本文涉及面向云的计算机数学系统（SCM）的使用。基于云的学习环境的Web-SCM的发展前景被认为是。揭示了SageMath Cloud作为数学学习工具的教学特点。揭示了一所知名学校使用面向云的SCM SageMath Cloud进行代数和元素分析教学的方法论方面。
英文摘要：
The quality of mathematics education depends largely on the quality of education in general. The main idea may be summarized as follows: in order to educate the younger generation of people to be able to meet adequately the demands of the time, it is necessary to create conditions for the high-quality mathematics education. Improving the quality of mathematics education of pupils in secondary school is one of the most pressing problems. Contents of the school course of mathematics and its teaching method has always been the subject of undammed and sometimes stormy scientific debates. There are especially true methods of teaching algebra and the analisis in the high secondary school. Still in the study process the algebraic concepts and principles of analysis are given in such an abstract and generalized form that the student may has considerable difficulties to map these general abstract concepts to the certain concrete images, they are generalizations of. Improving education quality indicators can be achieved by using the appropriate computer technology. The article deals with the use of the cloud-oriented systems of computer mathematics (SCM). The prospects of development of the Web-SCM in terms of cloud-based learning environment are considered. The pedagogical features of the SageMath Cloud use as a tool for mathematics learning are revealed. The methodological aspects of algebra and elementary analysis teaching in a high profile school using the cloud-oriented the SCM SageMath Cloud are revealed.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
