Mathematical modeling in teaching using data analytics

IF 2.1 Q2 SOCIOLOGY

NORMA Pub Date : 2023-01-01 DOI:10.5937/norma2301079g

Branko Gavrilović

引用次数: 0

Abstract

With the development of information technologies, the Internet and social networks, the amount of collected data grows year by year at a high speed. Data processing and analysis becomes a necessity without which quality decisions cannot be made. Education, as an important social segment, must follow global changes and provide an adequate response to new social needs. In this paper, an innovative approach to teaching mathematics based on data analytics will be presented. The aim of the paper is to demonstrate the possibility of using data analysis techniques in the teaching process. A teaching model will be created using data analytics, as well as complete preparation for the implementation of the lesson.

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数据分析在教学中的数学建模

随着信息技术、互联网和社交网络的发展，收集的数据量逐年高速增长。数据处理和分析变得必不可少，没有数据处理和分析就无法做出高质量的决策。教育作为一个重要的社会组成部分，必须顺应全球变化，对新的社会需要作出适当的反应。本文将提出一种基于数据分析的创新数学教学方法。本文的目的是展示在教学过程中使用数据分析技术的可能性。将使用数据分析创建教学模型，并为课程的实施做好准备。

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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来源期刊

NORMA Social Sciences-Gender Studies

CiteScore

3.00

自引率

14.30%

发文量

期刊介绍： NORMA is an international journal for high quality research concerning masculinity in its many forms. This is an interdisciplinary journal concerning questions about the body, about social and textual practices, and about men and masculinities in social structures. We aim to advance theory and methods in this field. We hope to present new themes for critical studies of men and masculinities, and develop new approaches to ''intersections'' with race, sexuality, class and coloniality. We are eager to have conversations about the role of men and boys, and the place of masculinities, in achieving gender equality and social equality. The journal was begun in the Nordic region; we now strongly invite scholarly work from all parts of the world, as well as research about transnational relations and spaces. All submitted manuscripts are subject to initial appraisal by the Editors, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees. All peer review is double blind and submission is online via Editorial Manager.