Targeted Infusion Project: Infusing Computational Thinking and Visual Learning into an Introductory Computer Science Course to Promote Students' Success and Retention

有针对性的注入项目：将计算思维和视觉学习注入计算机科学入门课程，以促进学生的成功和保留

• 批准号: 1623335
• 负责人: Md Rahman
• 金额: $ 36.75万
• 依托单位: Morgan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1623335&HistoricalAwards=false
• 关键词: Targeted; Infusion; Project; Infusing; Computational

The Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) through Targeted Infusion Projects supports the development, implementation, and study of evidence-based innovative models and approaches for improving the preparation and success of HBCU undergraduate students so that they may pursue science, technology, engineering or mathematics (STEM) graduate programs and/or careers. The project at Morgan State University seeks to infuse critical thinking and other evidence-based strategies throughout the introductory computer science programming course taken annually by about 100 students. A strong plan for formative and summative evaluation is part of the project.This project has the specific goals to: integrate and evaluate critical thinking skills with the existing curriculum alongside programming skills; teach general problem-solving techniques with a flowchart-based programming environment and without using specific programming concepts or languages at the beginning of the curriculum; put greater emphasis on core computer science principles with less of a focus on syntax by introducing Python as the introductory programming language; incorporate visual and interactive learning; and actively engage students in collaborative learning. The desired outcome is to retain more students in the Computer Science major and to prepare them for graduate studies and/or the workforce.

历史上黑人学院和大学本科项目 (HBCU-UP) 通过定向注入项目支持开发、实施和研究基于证据的创新模型和方法，以改善 HBCU 本科生的准备和成功，使他们能够追求科学、技术、工程或数学 (STEM) 研究生课程和/或职业。摩根州立大学的该项目旨在将批判性思维和其他基于证据的策略融入每年约 100 名学生参加的计算机科学编程入门课程中。该项目的一部分是制定强有力的形成性和总结性评估计划。该项目的具体目标是：将批判性思维技能与现有课程以及编程技能相结合并进行评估；使用基于流程图的编程环境教授一般问题解决技术，并且在课程开始时不使用特定的编程概念或语言；通过引入 Python 作为入门编程语言，更加重视核心计算机科学原理，减少对语法的关注；结合视觉和互动学习；并积极让学生参与协作学习。期望的结果是留住更多计算机科学专业的学生，​​并为他们进入研究生和/或就业做好准备。