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Factors Influencing Computer Science Learning in Middle School

机译:影响中学计算机科学学习的因素

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In this paper, we describe research conducted around a 7-week curriculum designed to introduce middle school students to computer science with a focus on algorithmic thinking and programming. The pedagogical ideas employed in this curriculum were drawn from past research. Empirical investigations over two studies in a public middle school in the US examined changes in students' understanding of algorithmic constructs and the factors affecting that learning. Multi-level analyses revealed that students in both studies (1) achieved substantial learning gains in algorithmic thinking skills and significant growth towards a more mature understanding of computing as a discipline, and (2) found certain CT ideas and constructs more difficult than others. Prior computing experiences and math and English ability were found to be predictors of learning outcomes. Extracurricular experiences with technology also appeared to impact outcomes.
机译:在本文中,我们描述了在7周课程中进行的研究,旨在将中学生引入计算机科学,专注于算法思维和编程。本课程中使用的教学意见是从过去的研究中汲取的。美国在美国公立中学两所研究的实证调查研究了学生对算法结构的理解的变化以及影响该学习的因素。多级别分析显示,研究中的学生(1)在算法思维技能中取得了大量的学习收益,并且更加成熟地实现了对计算的重要性,(2)发现某些CT的想法和构造比其他人更困难。发现经验和数学和数学和英语能力是学习结果的预测因素。技术的课外经验也似乎影响了结果。

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