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

计算机科学（31）这个项目开发了四个关于编程语言主题的问题生成器。问题生成器被设计为生成问题作为问题模板的参数化实例。他们的表现和使用超过四个学期进行评估。问题生成器可以促进学生的主动学习，提高学生解决问题的能力。基于问题的学习提高了长期的保留。研究人员提倡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作业。教师们越来越多地转向使用技术来为学生提供实践问题。他们正在开发程序来生成问题，并将其提供给学生进行练习。但是，这样的程序，为学生提供频繁的，自定进度的练习已经很少尝试计算机科学的主题，因为在计算机科学的问题并不总是定量的，他们往往取决于任意计算机程序的结构。这个项目调查的潜力，在计算机科学主题中使用的问题生成的计算机科学课程的独特的限制。

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.