使用基于计划的程序理解方法实现算法解决问题技能的电子评估方法

A. Bey, T. Bensebaa
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引用次数: 2

摘要

大多数计算机科学专业的学生在被要求解决算法问题时,通常会直接开始编写程序代码。不过,更重要的是代码所代表的算法。学习如何设计一个算法来解决给定的问题是不容易的。在本文中,我们提出了一种形成性诊断评估方法,帮助学生获得解决问题的技能,使他们能够处理问题并设计更有效和优雅的解决方案。这种方法除了解决了算法技能电子评估的微妙问题外,还具有增强算法能力的形成性。从算法领域本身的基本原理中获得灵感,它基于使用称为基本操作的已知组件,这些组件组织在库中。为了建模,每个问题的解被重新组合成一组,每个解用一个计划来表示,这个计划是程序在程序理解方法中的规范表示。这种方法的目的是提供一个形成性和诊断性的评估,以使学习者获得算法解决问题的技能。即使它是为算法能力评估而设计的,这种方法也可以很容易地适用于任何领域,以评估其专有技术。
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Towards an e-assessment approach of algorithmic problem-solving skills using plan-based program understanding approach
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.
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