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Social Networks Generate Interest in Computer Science

机译：社交网络引起了对计算机科学的兴趣

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For forty years programming has been the foundation of introductory computer science. Despite exponential increases in computational power during this period, examples used in introductory courses have remained largely unchanged. The incredible growth in statistics courses at all levels, in contrast with the decline of students taking computer science courses, points to the potential for introducing computer science at many levels without emphasizing the process of programming: leverage the expertise and role-models provided by high school mathematics teachers by studying topics that arise from social networks and modeling to introduce computer science as an alternative to the traditional programming approach. This new approach may capture the interest of a broad population of students, crossing gender boundaries. We are developing modules that we hope will capture student interest and provide a compelling yet intellectually rich area of study. We plan to incorporate these modules into existing courses in math, statistics, and computer science at a wide variety of schools at all levels.
机译：四十年来，编程一直是计算机科学入门的基础。尽管在此期间计算能力呈指数级增长，但入门课程中使用的示例在很大程度上保持不变。与参加计算机科学课程的学生人数下降相比，各级统计课程的惊人增长表明，在不强调编程过程的情况下，可以在多个层次上引入计算机科学的潜力：利用高级工程师提供的专业知识和角色模型学校的数学老师通过研究社交网络和建模中产生的主题来介绍计算机科学，以替代传统的编程方法。这种新方法可能会引起跨性别界限的广大学生的兴趣。我们正在开发模块，希望这些模块能够吸引学生的兴趣，并提供一个引人入胜却又知识丰富的学习领域。我们计划将这些模块整合到各级所有学校的数学，统计学和计算机科学的现有课程中。

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