Problem Solving and Algorithmic Development with Flowcharts

Renske Smetsers-Weeda, S. Smetsers
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引用次数: 41

Abstract

Programming, where problem solving and coding come together, is cognitively demanding. Whereas traditional instructional strategies tend to focus on language constructs, the problem solving skills required for programming remain underexposed. In an explorative small-scale case study we explore a "thinking-first" framework combined with stepwise heuristics, to provide students structure throughout the entire programming process. Using unplugged activities and high-level flowcharts, students are guided to brainstorm about possible solutions and plan their algorithms before diving into (and getting lost in) coding details. Thereafter, a stepwise approach is followed towards implementation. Flowcharts support novice programmers to keep track of where they are and give guidance to what they need to do next, similar to a road-map. High-level flowcharts play a key role in this approach to problem solving. They facilitate planning, understanding and decomposing the problem, communicating ideas in an early stage, step-wise implementation and evaluating and reflecting on the solution (and approach) as a whole.
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用流程图解决问题和算法开发
编程是解决问题和编码的结合,对认知能力要求很高。尽管传统的教学策略倾向于关注语言结构,但编程所需的解决问题的技能仍然没有得到充分的暴露。在一个探索性的小规模案例研究中,我们探索了一个“思考优先”的框架,结合了逐步启发式,为学生提供了贯穿整个编程过程的结构。使用不插电的活动和高级流程图,引导学生头脑风暴可能的解决方案,并计划他们的算法,然后潜入(并迷失在)编码细节。此后,采取逐步执行的办法。流程图支持新手程序员跟踪他们所处的位置,并为他们下一步需要做的事情提供指导,类似于路线图。高级流程图在这种解决问题的方法中起着关键作用。它们有助于规划、理解和分解问题,在早期阶段交流想法,逐步实施,并作为一个整体评估和反思解决方案(和方法)。
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