并行和分布式计算教学中的敏捷和循环学习

Virginia Niculescu, Adrian Sterca, Darius Bufnea
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引用次数: 2

摘要

敏捷和循环学习是最近被提议用于计算机科学教学的方法。本文探讨了它们在并行和分布式计算(PDC)本科学习中的应用。该分析的目的是评估其有效性,以及评估我们在多大程度上需要在本科阶段使用PDC相关知识。此外,我们还打算找出敏捷和循环学习实现PDC概念最佳知识转移的速度。该分析考虑了分布在整个课程中的几门课程、学生基于问卷的自动评估以及评分结果。分析强调了这样一个事实,即引入越来越多的信息的趋势,这是由敏捷方法促进的,但与此同时,如果最终目标是确保对相关知识的良好而深入的理解,则应该缓和这种趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Agile and cyclic learning in teaching parallel and distributed computing
Agile and cyclic learning are methodologies that have been recently proposed to be used in teaching Computer Science. This paper investigates their usage for the undergraduate studies on parallel and distributed computing (PDC). The aim of this analysis is to evaluate their effectiveness, and also to evaluate to which extent we have to go with the knowledge related to PDC at the undergraduate level. Also, we intended to find out the pace in which agile and cyclic learning enforces the best knowledge transfer of PDC concepts. The analysis takes into consideration several courses spread on the entire curricula, students auto-evaluation based on questionnaires, and grade results. The analysis emphasizes the fact that the tendency is to introduce more and more information and this is facilitated by an agile approach, but in the same time this should be moderated if the final goal is to assure also a good and deep understanding of associated knowledge.
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