信息时代阿拉伯世界本科统计学教育改革

IF 2.2 Q3 Social Sciences

Journal of Statistics Education Pub Date : 2020-01-02 DOI:10.1080/10691898.2019.1705943

Rafiq Hijazi, I. Alfaki

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引用次数: 4

摘要

摘要本文首次深入调查了阿拉伯世界本科统计学教育的现状。它讨论了关于一般教育质量的证据，特别是统计教育。基于对阿拉伯大学统计课程的调查，本文讨论了与课程结构、教学实践以及与劳动力市场需求相匹配的学习成果有关的几个问题。调查结果显示，阿拉伯大学的本科统计学课程与国际课程指南之间存在差距。这一差距表明，迫切需要改革和加强统计教育，以满足这个信息时代劳动力市场的需求。本文概述了基于最佳国际做法的建议和战略改革。

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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Reforming Undergraduate Statistics Education in the Arab World in the Era of Information

Abstract This article is the first to thoroughly investigate the state of undergraduate statistics education in the Arab world. It discusses evidence with respect to the quality of education in general and statistics education in particular. Based on a survey of statistics programs in Arab universities, several issues pertaining to curriculum structure, pedagogical practices, and matching learning outcomes with labor market needs are discussed. The survey results reveal a gap between the undergraduate statistics programs in Arab universities and the international curriculum guidelines. This gap signals the urgent need for reforming and enhancing statistics education to address the needs of the labor market in this era of information. Recommendations and strategic reforms based on best international practices are outlined.

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来源期刊

Journal of Statistics Education EDUCATION, SCIENTIFIC DISCIPLINES-

CiteScore

1.20

自引率

0.00%

发文量

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.