Student learning condition analysis method based on artificial intelligence and teaching system

A learning situation and artificial intelligence technology, applied in the field of computer teaching, can solve problems such as insufficient analysis of students' learning situation, and achieve the effects of improving teaching quality and efficiency, improving learning methods, and accurate models

Pending Publication Date: 2022-01-28
SICHUAN POLICE COLLEGE
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the problem of insufficient analysis of students' learning situation in the prior art, and provide a method for analyzing students' learning situation based on artificial intelligence and a teaching system

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Student learning condition analysis method based on artificial intelligence and teaching system
  • Student learning condition analysis method based on artificial intelligence and teaching system
  • Student learning condition analysis method based on artificial intelligence and teaching system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] In an exemplary embodiment, a method for analyzing student learning situation based on artificial intelligence is provided, such as figure 1 As shown, the method includes:

[0050] Extract the test scores of all students studying the same course;

[0051] Clustering and dividing the students according to the test scores to obtain the initially divided student categories;

[0052] Iteratively searching for a new standard sample for division according to the student categories of the preliminary division, and re-dividing the student categories to obtain the final student categories;

[0053] The learning status of all students is obtained according to the final student category.

[0054] Further, the test scores of the students include the test scores of each chapter, wherein the number of students is k in total, the number of chapters of the course is l, and x i Represents the test scores of chapter i(i∈l) in this course of student x(x∈k), then the test scores of all ...

Embodiment 2

[0072] In order to solve the poor teaching effect existing in the existing computer teaching, and the teacher cannot deeply grasp the specific learning situation of the students, the present invention also provides a teaching system, such as figure 2 As shown, the teaching system includes a student terminal, a teacher terminal, a local database server and an artificial intelligence data analysis module, and the student terminal, the teacher terminal, and the local database server are respectively connected to the artificial intelligence data analysis module, and the local database server is also connected to the artificial intelligence data analysis module. Connect with the student terminal and the teacher terminal respectively;

[0073] Described local database server is used for the teaching material of storage, and described teaching material comprises the test result of all students when learning the same course;

[0074] The artificial intelligence data analysis module i...

Embodiment 3

[0080] Based on embodiment 2, a kind of teaching system is provided, and described teaching system also comprises cloud database server, and described cloud database server is connected with described artificial intelligence data analysis module, and described cloud database server is used for storing the teaching data of school over the years, The teaching materials include the learning situation of all students.

[0081] Specifically, with the increase in the number of students each year, the amount of teaching-related data continues to increase. The local database server does not have this storage capacity, and there is no need to store all the data over the years in the local database. Therefore, a large amount of data over the years needs to be stored in the cloud. , and retrieve the required data from the cloud when needed. The cloud database is mainly used to store information about students and teachers, including teaching materials, student grades and other teaching-r...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a student learning condition analysis method and teaching system based on artificial intelligence, and belongs to the technical field of computer teaching. The method comprises the steps of extracting the test scores of all students when a same course is learned; performing clustering division on the students according to the test results to obtain the preliminarily divided student categories; iteratively searching a new division standard sample according to the preliminarily divided student categories, and re-dividing the student categories to obtain the final student categories; and obtaining the learning conditions of all students according to the final student categories. According to the method and the system formed by the method, the learning conditions of the students are intelligently analyzed, the teachers and the students are helped to scientifically and deeply know the learning conditions, and the teachers are assisted to formulate and modify the teaching modes according to the intelligent analysis results.

Description

technical field [0001] The invention relates to the technical field of computer teaching, in particular to an artificial intelligence-based method for analyzing students' learning situations and a teaching system. Background technique [0002] The current online teaching lacks a reasonable evaluation system, and cannot provide objective evaluation of learners' learning. Learners lack effective incentives for autonomous learning, and managers cannot understand learners' learning status. This is also why online education cannot become a mainstream teaching form at present, and cannot be used as an evaluation index for learners' graduation and further education, which also affects learners' enthusiasm for learning to some extent. [0003] Grades are an important criterion for educational institutions to judge students, but nowadays the analysis of grades by educational institutions only stays at the relatively elementary stage such as rankings and grade points. According to the...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458G06K9/62G06N20/00G06Q50/20
CPCG06F16/2465G06Q50/205G06N20/00G06F18/23G06F18/2431
Inventor 彭黎文
Owner SICHUAN POLICE COLLEGE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap