在跨课程教材中嵌入统计评估。

J. Ridgway
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引用次数: 1

摘要

学校课程中的许多科目都涉及多种因素相互作用的环境。然而,从历史上看,由于理解多变量关系的固有困难,在这种情况下,很少在学校层面使用数据。加强传统学科之间的联系已被证明是课程开发者难以企及的愿望。我们目前正在与北爱尔兰课程管理局(CCEA)进行一个试点项目,使用一些具有多变量摘要数据的创新接口,作为不同背景下的多个视角的重点。课程设计的创新为评价的创新提供了机会。通常统计评估主要集中在日常计算或图形构造的准确表现上。这里使用数据主要是为了增进理解。本文将探讨在跨学科活动中嵌入关键统计概念评估的机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Embedding statistical assessment within cross-curricular materials.
Many subjects in the school curriculum engage with contexts where multiple factors interact. Historically however, data have rarely been used at school level in such contexts because of the difficulties inherent in understanding multiple variable relationships. Stronger links across traditional subjects has proved an elusive aspiration for curriculum developers. We are currently engaged in a pilot project with the Northern Ireland Curriculum Authority (CCEA) to use some innovative interfaces with multivariate summary data as a focus for multiple perspectives on various contexts. Innovations in curriculum design offer opportunities for innovation in assessment. Often statistics assessment focuses primarily on accurate performance of routine calculations or graphical construction. Here the use of data is primarily to enhance understanding. This paper will explore mechanisms for embedding assessment of key statistical concepts within cross-curricular activities.
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