A student modeling and personalized course recommendation method in an online learning system

A learning system and recommendation method technology, applied in the field of student modeling and personalized course recommendation, can solve the problems of not comprehensively considering the factors affecting students, insufficient interpretability and rationality of recommendation results, etc., to improve accuracy and self-adaptation. Sexual, well-designed effects

Active Publication Date: 2019-06-21
SHANDONG UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

Most of the existing recommendation algorithms are modeled from a single dimension (student learning behavior or interest preference), without comprehensive consideration of the influencing factors of the students themselves and the course itself, and there are still deficiencies in the interpretability and rationality of the recommendation results

Method used

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  • A student modeling and personalized course recommendation method in an online learning system
  • A student modeling and personalized course recommendation method in an online learning system
  • A student modeling and personalized course recommendation method in an online learning system

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Embodiment Construction

[0044] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0045] 1 Introduction

[0046] The present invention models the students' learning style, learning interest and learning ability by mining a large amount of data recorded in the teaching interaction process, constructs the students' personalized cognitive ability model, and can generate accurate and Interpretable personalized course recommendations. At the same time, online course modeling is carried out, combined with the characteristics of current courses, to further improve the accuracy and adaptability of course recommendations.

[0047] 2. Modeling of students' cognitive ability based on online course learning

[0048] 2.1 Course mastery based on the DINA (Deterministic Inputs, Noisy″And″gate model, deterministic input, noise “and” gate model) model

[0049] In the field of educational data mining, the DINA model has been applied to the ...

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Abstract

The invention discloses a student modeling and personalized course recommendation method in an online learning system, and belongs to the education data mining field. According to the method, cognitive level modeling and personalized course recommendation of students are mainly studied, firstly, knowledge mastering states of the students are judged based on a cognitive diagnosis model, learning behaviors of the students are analyzed through data on a system platform, and then the cognitive abilities of the students are modeled by integrating course mastering conditions; secondly, an online course is modeled ; and finally, the features of the online course are fused according to the cognitive level of the student to perform personalized recommendation. According to the invention, personalized recommendation is carried out based on the cognitive level of students and in combination with the feature indexes of the online courses, so that the user can be helped to carry out more accurate personalized course recommendation, and the online course recommendation is more interpretable and acceptable.

Description

technical field [0001] The invention belongs to the field of educational data mining, and in particular relates to a student modeling and personalized course recommendation method in an online learning system. Background technique [0002] In recent years, Massive Online Open Courses (MOOCs) represented by Coursera, Udacity, edX, etc. have greatly promoted the development of online education and brought new and important opportunities for colleges and universities and individual learning users. It greatly facilitates learners' acquisition of new knowledge. At the same time, the rapid growth of massive learning resources often makes learners at a loss when faced with "information overload" and "information trek". How to accurately recommend learning resources to learners is an important research problem that needs to be solved urgently. Most of the existing recommendation algorithms are modeled from a single dimension (students' learning behavior or interest preference), wi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/20G06Q10/06G06F16/9535
Inventor 赵中英蔚覃周慧李超
Owner SHANDONG UNIV OF SCI & TECH
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