Design of personalized test paper generating system of educational telenet based on genetic algorithm

Abstract

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 student's learning situation. This paper improved the traditional genetic algorithm and proposed a new method of test paper generating based on student's learning situation. It can generate personalized test paper dynamically that satisfying every student according to student's online self-condition in distance education network and factors reflected during learning such as psychological status, comprehension and application level.