Collaborative Research: Adapting and Extending WeBWorK for Use in the Computer Science Curriculum

计算机科学（31）本项目改编和扩展了美国国家科学基金会资助的WeBWorK网络评估系统项目的材料，该系统最初是由罗切斯特大学开发的，以补充和增强核心计算机科学课程，这些课程涵盖了统称为编程基础的主题（即基本编程结构、算法和问题解决、基本数据结构、递归和事件驱动编程）。该项目通过开发问题来实现这一目标，这些问题为学生提供编程基础的实践和反馈，这需要扩大WeBWorK的范围，以支持更广泛的问题类型。随着WeBWorK的增强，课程是：1)让学生积极参与在线学习，以增加所有核心计算机科学课程的传统实践；2)通过解决问题的任务，为学生提供即时和定制的进度反馈；3)针对学生遇到的任何问题，为他们提供量身定制的建设性支持；4)为教师提供持续监控和评估学生作业的能力。

Computer Science (31)This project is adapting and extending materials from NSF-funded projects on the WeBWorK web-based assessment system, initially developed at the University of Rochester, to supplement and enhance the core computer science courses that cover the topics that are collectively known as Programming Fundamentals (i.e. fundamental programming constructs, algorithms and problem-solving, elementary data structures, recursion and event-driven programming). The project is doing this by developing problems that give students practice and feedback with programming fundamentals, which requires broadening the scope of WeBWorK to support a wider class of problem type. With this WeBWorK enhancement, the courses are: 1) engaging students in active online learning to augment traditional practices in all the core computer science courses; 2) supplying students with immediate and customized feedback on their progress with problem-solving tasks; 3) furnishing students with tailored and constructive support for any problem areas they encounter; and 4) providing instructors with the ability to continually monitor and assess student work.