基于项目反应理论自适应考试系统的设计与应用
Abstract: In personalized education，the traditional examination forms are facing increasing problems，a unified examing paper do not suitable for all students with different levels，therefore，testing score can not measure students abilities accurately． Personalized Learning of Computerized Adaptive Testing System ( PLCAT) ，partially solve some problems of traditional examination． PLCAT testing system is a Web CAT system based on Item Response Theory ( IRT) ． Students can be tested anytime and anywhere by PLCAT． PLCAT system can select questions automatically for students according to their ability and conclude a personalized evaluation for them when examination finish． Practise shows that PLCAT system may improve testing efficiency and students evaluating accuracy． What's more important is it provides a more effective testing way for personalized education． Meanwhile provides a new thought for implementing modern education concepts，increasing self- learning ability，and innovation ability． Key words: personalized learning; computerized adaptive testing; item response theory
