Adaptive Online Laboratory in Computer Science Education

计算机科学（31）本项目采用德克萨斯大学奥斯汀分校开发的ASSERT系统的学生建模组件，为计算机科学II（入门级数据结构课程）构建自适应的在线实验室手册。CS-II现有的实验手册的主要问题是，预先确定的问题集没有考虑到CS-II学生对先前概念的不同理解水平。自适应智能辅导系统可以根据学生个体的需要提供有效的辅导。一个准确的学生模型可以捕捉学生当前对所涵盖材料的理解。在解决问题过程中使用捕获学生模型的适应性指导可以鼓励刺激学习的认知过程，并阻止适得其反的学生活动。用户友好的界面是这个项目的一个关键特点。个性化的动态特性使得界面的设计非常重要。糟糕的演讲不仅不能改善学生的学习过程，还会导致混乱和沮丧。这个项目的核心是开发一种新的界面，它将加快有效的学生交互，同时方便教师与用于维护教学材料和学生建模信息的数据库的交互。

Computer Science (31) This project adapts the student modeling component of the ASSERT system developed at the University of Texas at Austin to build an adaptive, online laboratory manual for Computer Science II, an entry level data structures course. The main problem with the existing laboratory manual for CS-II is that the predetermined problem sets do not account for CS-II student's diverse levels of understanding of previous concepts. An adaptive intelligent tutoring system can provide effective tutoring that is tailored to the needs of the individual student. An accurate student model could capture a student's current understanding of materials covered. Adaptive guidance using the captured student model during problem solving can encourage cognitive processes that stimulate learning and discourage counter-productive student activities. A user-friendly interface is a key feature of this project. The dynamic nature of personalization makes the design of the interface very important. Poor presentation can cause confusion and frustration rather than improving a student's learning process. The development of a new interface that will expedite effective student interaction as well as ease of interaction for teachers to the databases used to maintain teaching materials and student modeling information is central to this project.