Assessing the Feasibility and Impact of Using Online Problem-Solving in Computer Science

评估在计算机科学中使用在线问题解决的可行性和影响

• 批准号: 0088864
• 负责人: Amruth Kumar
• 金额: $ 7.49万
• 依托单位: Ramapo College of New Jersey
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-01-01 至 2004-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0088864&HistoricalAwards=false
• 关键词: Assessing; Feasibility; Impact; Using; Online

Computer Science (31) This project develops four problem-generators on programming languages topics. The problem generators are designed to generate problems as parameterized instances of a problem template. Their performance and use is evaluated over four semesters. The problem generators are expected to promote active learning among students and to improve the problem-solving skills of students. Problem-based learning improves long-term retention. Researchers have advocated the use of self-paced exercises, practice to build problem-solving skills, and the use of frequent, graded assignments in a course. Faculty are increasingly turning to the use of technology to provide practice problems to students. They are developing programs to generate problems, and making them available to students for practice. But, such programs that provide students with frequent, self- paced exercises have been infrequently attempted for computer science topics, because problems in computer science are not always quantitative, and they often depend on the structure of arbitrary computer programs. This project investigates the potential for use of problem-generations in computer science topics in light of the unique constraints of the computer science curriculum.

计算机科学（31）该项目在编程语言主题上开发了四个问题生成器。问题生成器旨在作为问题模板的参数化实例生成问题。他们的表现和使用将在四个学期中评估。期望产生问题的人会促进学生之间的积极学习，并提高学生解决问题的能力。基于问题的学习改善了长期保留。研究人员倡导使用自定进度的练习，练习以建立解决问题的技能，并在课程中使用频繁的分级任务。教师越来越多地转向使用技术为学生提供实践问题。他们正在开发程序来产生问题，并使学生可以练习。但是，这样的程序为学生提供了频繁的自节奏练习，因此很少尝试用于计算机科学主题，因为计算机科学中的问题并不总是定量的，并且通常取决于任意计算机程序的结构。该项目根据计算机科学课程的独特限制，研究了计算机科学主题中使用问题生成的潜力。