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Towards an e-assessment approach of algorithmic problem-solving skills using plan-based program understanding approach

机译:利用基于计划的计划理解方法对算法问题解决技巧的电子评估方法

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The majority of the students of Computer Science often start directly writing a program code when they have been asked to resolve a problem in algorithms. Although, what is way more important is the algorithm the code has to represent. Learning how to design an algorithm which resolves a given problem it is not easy. In this paper, we propose a formative-diagnostic assessment approach which helps students on acquiring problem-solving skills that enable them to cope with problems and to design more efficient and elegant solutions. Aside from the fact that this approach brings a solution for delicate problem of e-assessment of algorithmic skills, in addition it is formative aiming at strengthening algorithmic competencies. Drawing inspiration from the basic principles of the algorithms field itself, it is based on using known components called: Basic Operations which are organized in a library. For modeling, solutions of each problem are regrouped in a bunch and each solution is represented by a plan which is the canonical representation of a program in an approach of program understanding. The purpose of this approach is to provide a formative and diagnostic assessment in order to empower the learner to acquire algorithmic problem-solving skills. Even if it has been conceived for algorithmic competencies assessment, this approach can easily be adapted to any field to assess its know-how.
机译:计算机科学的大多数学生往往在被要求在算法中解决问题时直接编写计划代码。虽然,更重要的是代码必须表示的算法。学习如何设计一种解析给定问题的算法,这并不容易。在本文中,我们提出了一种形成诊断评估方法,帮助学生获得解决问题的技能,使他们能够应对问题并设计更高效和优雅的解决方案。除此之外,这种方法为算法技能的电子评估的微妙问题带来了解决方案,另外它是旨在加强算法竞争力的形成性。从算法字段本身的基本原理中绘制灵感,它基于使用称为:在库中组织的基本操作的已知组件。对于建模,每个问题的解决方案在束中重新组合,每个解决方案由一个计划表示,该计划是程序理解方法中程序的规范表示。这种方法的目的是提供一种形成性和诊断评估,以赋予学习者获得算法解决问题的技能。即使已经构思了算法竞争力评估,这种方法也可以很容易地适应任何领域以评估其专业知识。

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