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A Cognitive Processing Perspective on Student Programmers' 'Graphicacy'

机译:关于学生程序员“图形化”的认知加工视角

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摘要

The 'graphicacy' of student programmers was investigated using several cognitive tasks designed to assess ER knowledge representation at the perceptual, semantic and output levels of the cognitive system. A large corpus of external representations (ERs) was used as stimuli. The question lsquoHow domain-specific is the ER knowledge of programmers?rsquo was addressed. Results showed that performance for programming-specific ER forms was equal to or slightly better than performance for non-specific ERs on the decision, naming and functional knowledge tasks, but not the categorisation task. Surprisingly, tree and network diagrams were particularly poorly named and categorised. Across the ER tasks, performance was found to be highest for textual ERs, lists, maps and notations (more ubiquitous, lsquoeverydayrsquo ER forms). Decision task performance was generally good across ER types indicating that participants were able to recognise the visual form of a wide range of ERs at a perceptual level. In general, the patterns of performance seem to be consistent with those described for the cognitive processing of visual objects.
机译:使用几种认知任务调查了学生程序员的“图形能力”,这些任务旨在评估认知系统在感知,语义和输出层面上的ER知识表示。大量外部表示(ER)被用作刺激。解决了问题“如何使程序员的ER知识特定于领域?”。结果表明,在决策,命名和功能知识任务(而非分类任务)上,针对特定编程的ER形式的性能与非特定ER的性能相同或稍好。令人惊讶的是,树形图和网络图的命名和分类特别差。在所有ER任务中,发现文本ER,列表,地图和符号(表现最普遍的lsquoeverydayrsquo ER形式)的性能最高。各种ER类型的决策任务表现通常都很好,表明参与者能够在感知水平上识别各种ER的视觉形式。通常,性能模式似乎与针对视觉对象的认知处理所描述的那些模式一致。

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