Autonomic Learning in Course Software: A Case Study
This paper presents a method to develop course software aiming at autonomic learning, and introducing The Formal Languages and Automata Course Software as a case to study. Then it lists six patterns in the Finite Automata (FA) to Regular Expression (RE) conversion algorithm for learners at different levels. Finally it summarizes the keys in applying the idea of autonomic learning to course software.
component autonomic learning course software finite automata regular expression
Xiaoyu Du Chao Yi Su Feng Yu Wei Qiao Tang
College of Infoimation Science and Technology Beijing Normal University Beijing, China, 100875 Computer Teaching Capital Institute of Physical Education Beijing, China, 100088
国际会议
太原
英文
154-157
2010-10-22(万方平台首次上网日期,不代表论文的发表时间)