Fuzzy algorithm-based student cognitive level test and evaluation system

Abstract

The invention discloses a fuzzy algorithm-based student cognitive level test and evaluation system, comprising a teacher question storage module, a student dynamic question recommendation module, a test result analysis module and a database module, wherein the teacher question storage module is used for teachers to store question information; a student testing module is used for testing the cognitive level of students; the dynamic question recommendation module is used for students to arrange the presentation sequence of questions in the process of doing questions by the student testing module; the test result analysis module is used for analyzing the question solving result of the student and determining the cognitive level of the student through a fuzzy algorithm; and the database moduleis used for storing question information and student test result data. The fuzzy algorithm-based student cognitive level test and evaluation system can realize rapid and accurate dynamic recommendation of the test questions according to the grades and difficulty of the questions and the correctness of the answers of the students' questions so that the number of questions done for student cognitive level judgment can be reduced and the accuracy degree of student cognitive level judgment can be enhanced.

Description

technical field [0001] The invention relates to a test and evaluation system for students' cognitive level, in particular to a fuzzy algorithm-based test and evaluation system for students' cognitive level. Background technique [0002] With the development of network technology and computer technology, Web-based distance education has become a new form of education. It is not limited by time and space, realizes the sharing and equality of educational resources, and is a truly open education. The technology relied on in the former distance teaching has become mature. The rapid development of mobile network and the popularization of home broadband provide network support for distance teaching. The popularization of personal computers and smart phones and the marketization of professional mobile learning equipment provide distance teaching. Without device support, the online learning software that only a handful of devices can implement can now run smoothly on mainstream comp...

AI Technical Summary

Problems solved by technology

[0004] The current distance education platform mostly adopts the traditional test method in the detection of students' cognitive level, and uses the standard of 60 points to test whether students have mastered the knowledge points of a certain chapter. This unified evaluation standard cannot reflect the content of the course. and the presentation of the questions is mostly in a static way or only changing the order in which the questions are presented, resulting in limited ability of the students under investigation. In the case of a small number of online test questions, the ability of the students under investigation is relatively single, which cannot correctly reflect the students' ability. For the true cognitive abilities of the chapter, it is not possible for the teacher to obtain an accurate picture of the state of the student's learning

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