德国小学职前教师统计学课程的设计、实现与评价

Susanne Podworny, Daniel Frischemeier, Rolf Biehler
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引用次数: 2

摘要

我们设计并开发了一门以培养小学职前教师的内容知识、教学内容知识和技术知识为目标的统计学课程“Data & chance for primary school”。该课程包括每周的讲座,其中内容和技术知识组成部分的发展和每周伴随的小组研讨会。课程设计遵循统计推理学习环境原则;连接内容知识和教学内容知识的界面任务在课程中起着重要作用。教授三个主题:数据分析、组合学和通过随机模拟介绍概率。第一个结果——来自课程前后的在线调查(n=189),对参与者书面作业的评估,以及课程后进行的笔试——表明,我们的职前教师的统计思维随着时间的推移而提高,他们在参加课程后对统计表现出更积极的态度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design, realization and evaluation of a statistics course for preservice teachers for primary school in Germany
We designed and developed a statistics course “Data & chance for primary school” that aims at developing content knowledge, pedagogical content knowledge, and technological knowledge of preservice primary school teachers. The course consists of weekly lectures where the content and the technological knowledge components are developed and of a weekly accompanying small- group seminar. The course is designed with statistical reasoning learning environment principles; interface tasks that bridge content knowledge and pedagogical content knowledge play a fundamental role in the course. Three topics are taught: data analysis, combinatorics, and introduction into probability via stochastic simulations. The first results—from online surveys before and after the course (n=189), evaluation of participants’ written homework assignments, and a written test administered after the course—show that statistical thinking of our preservice teachers improves over time and that they show more positive attitudes towards statistics after having attended the course.
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