A refined model of ill-definedness in project-based learning

Arthur Rump, V. Zaytsev
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引用次数: 1

Abstract

Project-based courses are crucial to gain practically relevant knowledge in modelling and programming education. However, they fall into the "ill-defined" domain: there are many possible solutions; the quality of a deliverable is subjective and not formally assessable; reaching the goals means designing new artefacts and analysing new information; and the problem cannot always be divided into independent tasks. In this paper, we refine the existing two-dimensional (verifiability and solution space) classification of ill-defined classes of problems, contemplate methods and approaches for assessment of projects, and apply the model to analyse two study units of two different computer science programmes.
基于项目的学习中不明确的改进模型
基于项目的课程是获得建模和编程教育中实际相关知识的关键。然而,它们属于“不明确”的领域:有许多可能的解决方案;可交付成果的质量是主观的,不能正式评估;实现目标意味着设计新的工件和分析新的信息;这个问题不能总是被分割成独立的任务。在本文中,我们改进了现有的二维(可验证性和解空间)分类的不明确的问题类别,思考评估项目的方法和途径,并应用该模型来分析两个不同的计算机科学计划的两个研究单元。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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