首页> 外文会议>Proceedings of the 42nd ACM technical symposium on computer science education. >Increasing Engagement and Enrollment in Breadth-First Introductory Courses Using Authentic Computing Tasks
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Increasing Engagement and Enrollment in Breadth-First Introductory Courses Using Authentic Computing Tasks

机译:使用真实的计算任务来增加广度优先入门课程的参与度和入学率

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The breadth-first approach to teaching introductory computer science is one way of dispelling the common misperception that programming is the sole task of the computer scientist. The breadth-first approach is particularly useful in courses for non-majors. Hands-on activities that make up laboratory assignments for these courses tend to focus on learning to program or simulations of program execution. These activities unfortunately fail to build on the foundations laid by a breadth-first approach, and serve to perpetuate the computer science = programming misperception. We have developed a set of laboratory activities which are based on what we call authentic computing tasks: everyday tasks that students want to know how to accomplish. Example tasks include image editing, operating system installation and configuration, and building home computer networks. Explicit connections are made between these authentic computing tasks and the computer science concepts being covered in the lecture portion of the course. The course has experienced dramatic increases in enrollment, and we have evidence that students see the connections, rather than coming to believe that performing computing tasks well is the essence of computer science.
机译:广度优先的方法介绍计算机科学入门课程,是消除人们普遍认为编程是计算机科学家的唯一任务的一种误解。广度优先的方法在非专业课程中特别有用。构成这些课程的实验室作业的动手活动通常侧重于学习程序设计或程序执行的模拟。不幸的是,这些活动未能建立在广度优先方法的基础上,并且使计算机科学=对编程的误解永存。我们开发了一系列实验室活动,这些活动基于我们所谓的真实计算任务:学生想知道如何完成的日常任务。示例任务包括映像编辑,操作系统安装和配置以及构建家用计算机网络。在这些真实的计算任务与本课程的授课部分所涵盖的计算机科学概念之间建立了明确的联系。该课程的注册人数急剧增加,我们有证据表明,学生看到了这种联系,而不是相信良好执行计算任务是计算机科学的本质。

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