开发评估以确定对编程基础的掌握

Andrew Luxton-Reilly, Brett A. Becker, Yingjun Cao, R. Mcdermott, C. Mirolo, A. Mühling, Andrew Petersen, Kate Sanders, Simon, Jacqueline L. Whalley
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引用次数: 30

摘要

目前,编程入门课程的学习成果相对比较笼统,指定了使用一些基本编程结构的程序的设计、实现、测试和调试等任务。这些结果会影响我们的教学、我们的期望和我们的评估。虽然先前的工作已经证明了单一概念评估的效用,但在正式考试中使用的大多数评估结合了许多异质概念,导致复杂和困难的任务。因此,教师可能无法诊断学生面临的实际困难,学生也无法获得关于他们的成就的准确反馈。这种对教师和学生反馈的性质和质量的限制可能导致在编程入门课程中常见的感知困难和高辍学率。在本文中,我们回顾了计算机科学教育研究人员认为对新手编程很重要的概念。我们调查了编程入门课程的预期学习结果,并分析了为这些课程设计的评估,以确定完成这些课程所需的语法和语义的各个组成部分。认识到新手编程课程的隐式和显式期望之后,我们来看看组件之间的关系,以及概念之间的进展。最后,我们将演示如何将一些复杂的评估分解为可以独立评估的原子元素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing Assessments to Determine Mastery of Programming Fundamentals
Current learning outcomes for introductory programming courses are relatively general, specifying tasks such as designing, implementing, testing and debugging programs that use some fundamental programming constructs. These outcomes impact what we teach, our expectations, and our assessments. Although prior work has demonstrated the utility of single concept assessments, most assessments used in formal examinations combine numerous heterogeneous concepts, resulting in complex and difficult tasks. As a consequence, teachers may not be able to diagnose the actual difficulties faced by students and students are not provided with accurate feedback about their achievements. Such limitations on the nature and quality of feedback to teachers and students alike may contribute to the perceived difficulty and high dropout rates commonly observed in introductory programming courses. In this paper we review the concepts that Computer Science education researchers have identified as important for novice programming. We survey expected learning outcomes for introductory programming courses, and analyse assessments designed for such courses to determine the individual components of syntax and semantics required to complete them. Having recognized the implicit and explicit expectations of novice programming courses, we look at the relationships between components, and progression between concepts. Finally, we demonstrate how some complex assessments can be decomposed into atomic elements that can be assessed independently.
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