数据科学教育中的主动学习

V. Konkol'ová, Ján Paralič
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引用次数: 2

摘要

这篇关于数据科学教育中的主动学习的文章涉及支持数据科学主动学习的方法和工具,特别是在斯洛伐克科希策技术大学的知识发现学科中。本文介绍的工作成果之一是实现了一个支持数据科学主动学习的web应用程序。本文简要概述了支持主动学习的方法,这些方法也可用于数据科学教学。由用户提出并测试的最终web应用程序由RShiny应用程序创建。支持应用程序主要是为学生提供帮助,作为数据科学主动学习的交互式手段。本文的研究结果是可行的,并在实际中得到了应用。这项工作有助于使用者(学习者)的有效学习,也有助于学生通过主动学习在实践中更好地理解、理解和应用所获得的知识和经验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Active Learning in Data Science Education
This article about Active learning in data science education deals with methods and tools to support active learning of data science, in particular within the Knowledge Discovery subject at the Technical University of Kosice, Slovakia. One of the results of the work presented in this article is an implemented web application to support active learning in data science. The article involves a brief overview of the methods supporting the active learning which may be used also for teaching data science. The final web application which was proposed and tested by the users, was created by RShiny application. The supporting application is helpful mainly for the students as an interactive mean of active learning in data science. The result of the article is available and it was applied in practice. This work contributes to the effective learning of the users (learners) as well as it contributes to better understanding, comprehension and application of the acquired knowledge and experiences of the students in practice by means of active learning.
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