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An approach to automatic evaluation of higher cognitive levels assessment items

机译:一种自动评估较高认知水平评估项目的方法

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Large-scale assessments assess relatively large numbers of students. One of the biggest limitations/ challenges in MOOC today is conducting effective assessments in a large-scale environment. The quality of large-scale assessment is under threat from multiple sources including assessment instrument specific and measurement errors. Assessment instrument specific errors are related to the extent to which assessments meet its objectives while measurement errors are incurred during the process of evaluation. A survey of sample of existing assessment instruments used for large scale assessments is conducted to identify assessment instrument specific errors. In this paper, we have proposed the usage of technology to build electronic item banks for avoiding assessment instrument specific and measurement errors, thereby improving the quality of assessments. We have proposed 12 unique item types which are amenable for automatic evaluation. The process of evaluating students response automatically is discussed in detail for each item type. These automated item types provides cost effective ways for achieving validity and reliability for large scale assessments.
机译:大规模评估评估了相对大量的学生。 MOOC今天最受限制/挑战之一是在大规模环境中进行有效的评估。大规模评估的质量受到多种来源的威胁,包括评估仪器特定和测量误差。评估仪器特定错误与评估符合其目标的程度有关,而在评估过程中会产生测量误差。进行了对大规模评估的现有评估仪器样本进行调查,以确定评估仪器特定错误。在本文中,我们提出了使用技术来构建电子项目库,以避免评估仪器特定和测量误差,从而提高评估的质量。我们提出了12种独特的物品类型,可用于自动评估。为每个项目类型详细讨论评估学生响应的过程。这些自动化物品类型为实现大规模评估的有效性和可靠性提供了成本有效的方法。

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