辅助贝叶斯定理教学的网络模拟器

IF 2.2 Q3 Social Sciences
M. Bárcena, M. Garín, Ana Martín, F. Tusell, A. Unzueta
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引用次数: 6

摘要

摘要统计学中的一些概念的教学很大程度上得益于即时反馈的个人实践。为了向大量学生提供这样的实践,我们根据一个历史事件编写了一个模拟器:1968年5月22日的损失,以及随后对“蝎子”号核潜艇的搜索。学生们对搜索进行简化,可以看到概率随着新证据的变化而变化。该模拟器旨在协助贝叶斯概念的教学,特别是贝叶斯更新。它已经部署在我们的课程中,并描述了我们的经验和结果,以及我们的学生对它的使用的反应。该模拟器是开源的,免费提供,易于实现和运行,因为它只需要一台机器来服务网页。我们详细解释了我们在部署和使用方面的经验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Web Simulator to Assist in the Teaching of Bayes’ Theorem
Abstract Teaching some concepts in statistics greatly benefits from individual practice with immediate feedback. In order to provide such practice to a large number of students we have written a simulator based on an historical event: the loss in May 22, 1968, and subsequent search for the nuclear submarine USS Scorpion. Students work on a simplified version of the search and can see probabilities change in response to new evidence. The simulator is designed to assist in the teaching of Bayesian concepts, in particular Bayesian updating. It has been deployed in our courses and our experience and results are described, as well as the reactions of our students to its use. The simulator is open source, freely available and easy to implement and run, as it only requires a machine to serve web pages. We explain in detail our experience with its deployment and use.
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来源期刊
Journal of Statistics Education
Journal of Statistics Education EDUCATION, SCIENTIFIC DISCIPLINES-
CiteScore
1.20
自引率
0.00%
发文量
0
审稿时长
12 weeks
期刊介绍: The "Datasets and Stories" department of the Journal of Statistics Education provides a forum for exchanging interesting datasets and discussing ways they can be used effectively in teaching statistics. This section of JSE is described fully in the article "Datasets and Stories: Introduction and Guidelines" by Robin H. Lock and Tim Arnold (1993). The Journal of Statistics Education maintains a Data Archive that contains the datasets described in "Datasets and Stories" articles, as well as additional datasets useful to statistics teachers. Lock and Arnold (1993) describe several criteria that will be considered before datasets are placed in the JSE Data Archive.
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