Difficulty-based personalized exercise recommendation method and system and medium

Abstract

The invention relates to an exercise recommendation technology in the field of education and discloses a difficulty-based personalized exercise recommendation method and system and a medium. Accordingto the invention, subjective difficulty and objective difficulty of exercises are comprehensively considered. Knowledge points which are obtained based on respective knowledge states of students andare not mastered by the students are used as recommendation bases of exercises. The difficulty sequence of the knowledge points which are not mastered is obtained based on the pre-determined dependency relationship among the knowledge points and is used as a main recommendation sequence of exercises. A recommendation sequence of the exercises related to each unmastered knowledge point is determined according to the objective difficulty values of the exercises. Finally, personalized exercise recommendation based on difficulty is realized. The invention has the advantages that difficulty modeling has a basis and is comprehensive and reasonable, the effectiveness of the exercise-based autonomous learning effect of the students can be improved, and students are guided to complete exercise-based autonomous learning step by step from easy to difficult.

Description

technical field [0001] The invention relates to an exercise recommendation technology in the field of education, in particular to a difficulty-based personalized exercise recommendation method, system and medium. Background technique [0002] With the advent of the era of big data and the Internet, smart education has attracted more and more attention, showing a trend of rapid development. Exercises play a pivotal role in intelligent education, and are important teaching resources to help students consolidate the knowledge points they have learned in class after class. Due to the large scale of exercise resources that students can obtain and the limited time after class, how to recommend targeted and personalized exercises to students based on their knowledge status to improve the effectiveness of students' independent learning based on exercises is an important research. question. [0003] The current personalized exercise recommendation technology can be divided into two...

AI Technical Summary

Problems solved by technology

It can be seen that the objective difficulty of the topic determined by the attributes of the topic itself and the subjective difficulty of the topic determined by the tester's own knowledge status are two important aspects of measuring the difficulty of the topic. However, the existing research work has failed to combine these two important aspects. aspect

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