Computational Thinking through Computing and Music

通过计算和音乐进行计算思维

• 批准号: 1118435
• 负责人: Jesse Heines
• 金额: $ 45万
• 依托单位: University of Massachusetts Lowell
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-01 至 2015-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1118435&HistoricalAwards=false
• 关键词: Computational; Thinking; through; Computing; Music

Computational thinking (CT) is an emerging component of computer science education. A common characteristic of successful efforts to introduce CT is the presence of a context to which students can relate. This project builds upon previous efforts that have shown music to be a context that engages students. A sample of student activities include writing computer programs to play music, developing web pages that incorporate music, and developing data structures and databases to catalog sounds. Upper level courses in computing and music are synchronized by students working on collaborative projects across the disciplines. An alternative format is to offer a hybrid course co-taught by faculty from both disciplines. Expected outcomes include course materials and approaches for measuring CT gains. Course materials include lecture notes, class activities, code examples and homework assignments.Professional development workshops provide expertise for faculty to adopt new education approaches and to participate in a community of like-minded educators. Attendees are interdisciplinary two-person teams with expertise in computing as well as music. Three summer workshops are expected to attract one hundred faculty from fifty institutions.This effort leverages a natural relationship between music and computing to teach CT concepts to undergraduates in all disciplines. Materials are being developed for interdisciplinary general education courses and discipline-specific music and computing courses at more advanced levels.

计算思维（CT）是计算机科学教育的一个新兴组成部分。 成功引入计算机技术的一个共同特点是学生可以与之联系的背景。 这个项目建立在以前的努力，已经表明音乐是一个环境，吸引学生。学生活动的一个例子包括编写计算机程序来播放音乐，开发包含音乐的网页，以及开发数据结构和数据库来对声音进行分类。 计算机和音乐的高级课程由跨学科合作项目的学生同步进行。 另一种形式是提供由两个学科的教师共同教授的混合课程。 预期成果包括课程材料和衡量CT收益的方法。 课程材料包括课堂讲稿、课堂活动、代码示例和家庭作业。专业发展研讨会为教师提供专业知识，以采用新的教育方法，并参与志同道合的教育工作者社区。 与会者是跨学科的两人团队，具有计算和音乐方面的专业知识。 三个夏季研讨会预计将吸引来自50个机构的100名教师。这一努力利用音乐和计算之间的自然关系，向所有学科的本科生教授CT概念。 正在为多学科普通教育课程和更高级的特定学科音乐和计算机课程编写材料。