探讨解释图作为概念机在新手程序员心智模型中的作用

Proceedings of the 17th ACM Conference on International Computing Education Research Pub Date : 2021-08-16 DOI:10.1145/3446871.3469775

S. F. Mazumder

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引用次数: 0

摘要

由于不完整和不一致的心智模型，新手程序员经常会犯一些偶然的错误。以前的研究表明，学生对基本的编程概念有一个不可行的心智模型。从心理模型理论出发，Mayer[13]证明了解释性图表在塑造新手心理模型方面的有效性。我的论文旨在评估Mayer的解释性图作为概念机器的表示的作用，以塑造新手程序员对数组的心理模型。

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Investigating the Role of Explanative Diagrams as a Representation of Notional Machine on a Novice Programmer’s Mental Model

Novice programmers often make haphazard mistakes due to their incomplete and inconsistent mental models. Previous studies have indicated that students have a non-viable mental model of fundamental programming concepts. From theories of mental model, Mayer [13] showed the effectiveness of explanative diagrams in shaping a novice’s mental model. My dissertation aims to evaluate the role of Mayer’s explanative diagram as a representation of a notional machine to shape novice programmers’ mental models of the array.

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Proceedings of the 17th ACM Conference on International Computing Education Research

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