A system and method for analyzing personalized learning effects of programming language courses

Abstract

The invention relates to a programming-language-course-oriented personalized learning effect analysis system and method. The system comprises a student cognitive ability assessment module, a practical ability assessment module and a feedback module. The method, based on programming-language-course-oriented general homework and program homework answering behaviors of students, assesses cognitive ability and practical ability of the students by utilizing a mathematical model training learning method, processes the cognitive ability and practical ability data through a data statistical method and feeds learning effect information to the students to realize personalized display. The system and method can judge cognition and practice two-way learning effects of the students, not only can give fair scores to the students more accurately, but also can instruct teachers to find knowledge weak parts of the students and to feed back the knowledge weak parts to the students in a personalized manner in time, thereby realizing a programming-language-course-oriented knowledge point granularity microscopic learning effect and learning trajectory establishment.

Description

technical field [0001] The invention relates to a system and method for analyzing individualized learning effects of programming language courses, belonging to the technical field of computer applications. Background technique [0002] Educational data mining and learning analysis can better understand students' behavior and knowledge status. The study of students' learning effects has always been an important part of pedagogy. Accurately judging students' cognitive ability can not only give students a more accurate and fair score, but also instruct teachers to find the weak parts of students' knowledge; it can give students personalized feedback in a timely manner where knowledge is not solid in the learning process, so as to Promote students to strengthen the practice of this direction. [0003] With the continuous development of online education and online examination institutions, the increasing number of students, the scale of courses, and the deepening of course compl...

AI Technical Summary

Problems solved by technology

These two types of learning effect analysis still have the following deficiencies: (1) The current learning effect analysis system has not yet connected and integrated learners’ cognitive trajectory, knowledge system of teaching content, and software project practice in the space-time dimension , resulting in a one-sided reflection of learning laws; (2) the current system does not have a specific micro-learning effect evaluation system oriented to the granularity of knowledge points in programming language courses; (3) the current system ignores the differences between students and topics, and fails to target Individual students provide personalized feedback

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