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Combining cognitive, semiotic and discourse analysis to explore the power of notations in visual programming

机译:结合认知,符号学和语篇分析,探索符号在视觉编程中的作用

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Using game design and programming to foster computational thinking acquisition has proved to be a successful strategy in recent years. In previous research with AgentSheets, we concluded that the semiotic richness of this visual programming environment, specifically designed to support computational thinking acquisition, could be explored more extensively to the benefit of learners. In particular, we realized that there are some additional representations of AgentSheets games and simulations that are not presented as programming tools in the interface, and yet they communicate new relevant meanings to the users. This paper reports on research where we artificially introduced such representations in a small follow-up experiment with selected participants from our previous research experiment. Our goal was to investigate the impact of such additional representations on program comprehension and modification tasks. To this end we contrasted empirical evidence of their performance in the two tasks with their verbal account of experience with AgentSheets. We used a combination of discourse analysis and inspections using Semiotic Engineering methods and the Cognitive Dimensions of Notations framework. Our findings go in two directions. First, we observed that additional representations have allowed participants to expand and correct previous learning. Therefore such representations can support new teaching strategies in computational thinking acquisition programs with AgentSheets. Second, we learned that the combination of methods we used to analyze empirical data - discourse analysis with semiotic and cognitive inspection techniques - can be used systematically in other research contexts, holding the promise of insightful results.
机译:近年来,使用游戏设计和编程来促进计算思维的获得已被证明是一种成功的策略。在先前与AgentSheets进行的研究中,我们得出结论,可以更广泛地探索这种可视化编程环境的符号学丰富性,以专门支持计算思维习得,以使学习者受益。尤其是,我们意识到,在界面中并未以编程工具的形式呈现AgentSheets游戏和模拟的其他一些表示形式,但它们却向用户传达了新的相关含义。本文报道了有关研究的信息,我们在一次小型后续实验中人为地引入了这些表示形式,并从我们先前的研究实验中挑选了参与者。我们的目标是研究此类附加表示形式对程序理解和修改任务的影响。为此,我们将他们在两个任务中的表现的经验证据与他们对AgentSheets的口头描述进行了对比。我们使用符号学工程方法和符号框架的认知维度结合了话语分析和检查功能。我们的发现有两个方向。首先,我们观察到其他表示形式使参与者能够扩展和更正先前的学习。因此,这样的表示可以在使用AgentSheets的计算思维习得程序中支持新的教学策略。其次,我们了解到,我们用来分析经验数据的方法的组合-使用符号学和认知检查技术进行的话语分析-可以在其他研究环境中系统地使用,从而有望获得有见地的结果。

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