Student history and real-time learning state parameter-based course recommendation realization method and system

A real-time learning and curriculum technology, applied in the computer field, can solve the problems of lack of relevant methods and systems, and achieve the effects of improving efficiency, enhancing matching, and saving time

Active Publication Date: 2017-03-22
HANGZHOU XINBAIRUI FOUND TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0011] However, although there are many information recommendation technologies in the prior art, they are mainly used in product advertisement push based on user purchasing power and needs, news or audio and video multimedia content recommendation and di

Method used

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  • Student history and real-time learning state parameter-based course recommendation realization method and system
  • Student history and real-time learning state parameter-based course recommendation realization method and system
  • Student history and real-time learning state parameter-based course recommendation realization method and system

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Embodiment Construction

[0045] The technical solutions of the present invention will be further specifically described below through examples.

[0046] The purpose of the present invention is to generate a personalized course recommendation for each individual student (that is, the target object of course recommendation) from the big data course resource library of the network education platform. On the one hand, the recommended courses can completely cover the basic knowledge system necessary for the study of specific professional fields; Match the learning performance, fully coordinate with the objective needs and subjective tendencies of the students, and maintain the continuity and gradualness of the learning courses, avoid generating fragmented recommendations, and avoid simply starting from the course content and deviating from the students' own conditions Recommendations, avoiding recommendations that deviate from the learning goals, directions and interests of the students.

[0047] The pres...

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Abstract

The invention provides a specialized course recommendation method and system suitable for a network education platform. The specialized course recommendation method and system is different from a universal information recommendation method and system or information recommendation methods and systems in other fields. A tree data structure is formed for massive course resources in the network education platform, and a professional knowledge system and course learning characteristics of massive students are comprehensively considered, so that a user portrait model is formed; and based on this, classification mode identification is realized by utilizing learning histories and learning states of individual students, and then personalized course recommendation is generated from a big data course resource library according to categories which the students belong to and course correlativity.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and system for implementing course recommendation based on student history and real-time learning status parameters. Background technique [0002] Online education is of great significance to building a learning society and improving the quality of the whole people. Especially online education for professional fields is conducive to the widespread dissemination of advanced knowledge, improving the level of talent training in various industries, and reducing social and corporate training costs. Alleviate the imbalance in the development of regional education. Therefore, the development and application of the network education system is an important direction for the development of computer technology. [0003] After searching, the technical improvement of the online education system in the existing technology is mainly reflected in: establishing a basic network platfor...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q50/20
Inventor 杨瀛
Owner HANGZHOU XINBAIRUI FOUND TECH
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