会议专题

Design of Personalized Test Paper Generating System of Educational Telenet Based on Genetic Algorithm

When generating test paper, traditional distant education online examination system either merely extracts the same test questions from item bank or extracts test questions at random, or select test questions according to some classifications of student. It can not individually varies and give custom made scheme according to students learning situation. This paper improved the traditional genetic algorithm and proposed a new method of test paper generating based on students learning situation. It can generate personalized test paper dynamically that satisfying every student according to students online selfcondition in distance education network and factors reflected during learning such as psychological status, comprehension and application level.

Distance education test paper generating genetic algorithm

Yong Ou-Yang Hong-Fang Luo

School of Computer Science Hubei University of Technology Wuhan, China

国际会议

第四届国际计算机新科技与教育学术会议(2009 4th International Conference on Computer Science & Education)

南京

英文

170-173

2009-07-25(万方平台首次上网日期,不代表论文的发表时间)