Summative Assessment of Undergraduate Learning Outcomes with Cross-Validation in C Programming Course

Yongbin Zhang, Ronghua Liang, Yanying Zheng, Hao Zhang, Ping Wang, Yeli Li
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Abstract

Learning outcomes have gained more and more attention in higher education. Course learning outcomes are essential for all stakeholders. There are many approaches to evaluate course learning outcomes. However, one single method cannot measure course learning outcomes preciously. Each method has its strength and weaknesses. For example, grades tend to measure knowledge but lack standardization. We presented a novel way to assess course learning outcomes with the cross-validation principle. Experiments show that this method can measure higher-level learning outcomes, as applying skills or knowledge in different contexts. The new approach provides a different perspective for assessing course learning outcomes.
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基于交叉验证的C程序设计课程本科生学习成果总结性评估
学习成果在高等教育中越来越受到重视。课程学习成果对所有利益相关者都至关重要。评估课程学习成果的方法有很多。然而,单一的方法并不能准确地衡量课程的学习效果。每种方法都有其优点和缺点。例如,分数倾向于衡量知识,但缺乏标准化。我们提出了一种新的方法来评估课程学习效果与交叉验证原则。实验表明,这种方法可以衡量更高层次的学习成果,如在不同的环境中应用技能或知识。新方法为评估课程学习成果提供了一个不同的视角。
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