Automated marking of longer computational questions in engineering subjects

IF 4.1 2区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Christopher Pearson, Nigel Penna
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Abstract

Abstract E-assessments are becoming increasingly common and progressively more complex. Consequently, how these longer, more complex questions are designed and marked is imperative. This article uses the NUMBAS e-assessment tool to investigate the best practice for creating longer questions and their mark schemes on surveying modules taken by engineering students at Newcastle University. Automated marking enables calculation of follow through marks when incorrect answers are used in subsequent parts. However, awarding follow through marks with no further penalty for solutions being fundamentally incorrect leads to non-normally distributed marks. Consequently, it was found that follow through marks should be awarded at 25% or 50% of the total available to produce a normal distribution. Appropriate question design is vital to enable automated method marking in longer style e-assessment with questions being split into multiple steps. Longer calculation questions split into too few parts led to all or nothing style questions and subsequently bi-modal mark distributions, whilst questions separated into too many parts provided too much guidance to students so did not adequately assess the learning outcomes, leading to unnaturally high marks. To balance these factors, we found that longer questions should be split into approximately 3–4 parts, although this is application dependent.
工程学科中较长计算题的自动标记
电子评估正变得越来越普遍,也越来越复杂。因此,如何设计和标记这些更长、更复杂的问题是至关重要的。本文使用NUMBAS电子评估工具来研究纽卡斯尔大学工程专业学生在测量模块中创建较长问题及其评分方案的最佳实践。当错误答案出现在后续部分时,自动评分可以计算后续部分的分数。然而,如果在解决方案根本不正确的情况下给予后续分数而没有进一步的惩罚,则会导致分数的非正态分布。因此,我们发现跟进分数应该占总分数的25%或50%,以产生正态分布。适当的问题设计对于在较长的电子评估中实现自动方法标记至关重要,因为电子评估将问题分成多个步骤。较长的计算题被分割成太少的部分,导致“全有或全无”式的问题,从而导致双峰式的分数分布,而分割成太多的部分的问题给学生提供了太多的指导,没有充分评估学习成果,导致不自然的高分。为了平衡这些因素,我们发现较长的问题应该分成大约3-4个部分,尽管这取决于应用程序。
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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来源期刊
Assessment & Evaluation in Higher Education
Assessment & Evaluation in Higher Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
11.20
自引率
15.90%
发文量
70
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