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Building-In Quality Rather Than Assessing Quality Afterwards: A Technological Solution to Ensuring Computational Accuracy in Learning Materials

机译:内置质量而不是事后评估质量:确保学习材料计算准确性的技术解决方案

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摘要

Quality encompasses a very broad range of ideas in learning materials, yet the accuracy of the content is often overlooked as a measure of quality. Various aspects of accuracy are briefly considered, and the issue of computational accuracy is then considered further. When learning materials are produced containing the results of mathematical computations, accuracy is essential: but how can the results of these computations be known to be correct? A solution is to embed the instructions for performing the calculations in the materials, and let the computer calculate the result and place it in the text. In this way, quality is built into the learning materials by design, not evaluated after the event. This is all accomplished using the ideas of literate programming, applied to the learning materials context. A small example demonstrates how remarkably easy the ideas are to apply in practice using the appropriate technology. Given that the technology is available and is easy to use, it would appear imperative that the approach discussed is adopted to improve quality in learning materials containing computational results.
机译:质量在学习资料中涵盖了非常广泛的思想,但是内容的准确性常常被视为衡量质量的标准。简要考虑了准确性的各个方面,然后进一步考虑了计算准确性的问题。当制作包含数学计算结果的学习材料时,准确性至关重要:但是如何知道这些计算结果是正确的呢?一种解决方案是将执行计算的指令嵌入材料中,然后让计算机计算结果并将其放在文本中。通过这种方式,可以通过设计将质量内置到学习材料中,而不在事件发生后进行评估。所有这些都是通过将识字编程的思想应用于学习材料的语境来完成的。一个小例子说明了使用适当的技术将这些想法应用到实践中有多么容易。考虑到该技术的可用性和易用性,采用所讨论的方法来提高包含计算结果的学习材料的质量显得势在必行。

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