A neural network-based method for improving the problem solving capability of a student application problem

A problem-solving ability and neural network technology, applied in the field of deep convolutional neural network image recognition and speech recognition learning

Inactive Publication Date: 2019-06-28
CHINA JILIANG UNIV +1
View PDF6 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Most of today’s problem-solving software is faced with the problem of directly providing the problem-solving process and answers, which leads to students solving similar problems and having a low role in integrating knowledge points.

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
  • A neural network-based method for improving the problem solving capability of a student application problem
  • A neural network-based method for improving the problem solving capability of a student application problem
  • A neural network-based method for improving the problem solving capability of a student application problem

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] The present invention will be further described below in conjunction with accompanying drawing.

[0036] In this example, if figure 1 and figure 2 As shown, a flow chart of improving students' application problem solving ability based on neural network, the specific implementation mainly includes the following steps:

[0037] Step (1): Input the photos taken by the students of the application questions that need to be answered into the trained standard problem-solving step model, and the model outputs the standard problem-solving knowledge points of the problem and the calculation formulas corresponding to the knowledge points;

[0038] Step (2): Students express their own problem-solving ideas through the recording function, and input this audio into the trained student problem-solving thinking step recognition model, and the model outputs the corresponding Problem-solving knowledge points and calculation formulas;

[0039] Step (3): Store the standard problem-solv...

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 neural network-based method for improving the problem solving ability of students to apply questions, and the method comprises the steps: firstly, enabling students to shootunmade questions, and uploading the shot images to a standard problem solving step model; Secondly, explaining a question-solving thought of the student through a recording function, and uploading a record to the student question-solving thought step model; And then comparing output results of the two models so as to judge whether the problem solving thought of the student is correct or not; If all the results are the same, judging that the'student's thought of solving questions is correct '; If parts of the results are the same, judging that the nth step of the student question-solving thought is correct, other correct knowledge points and corresponding formulas are displayed step by step according to student needs, and if the results of the two models are all different, judging that thestudent question-solving thought is wrong, and the correct knowledge points and the corresponding formulas are displayed step by step according to student needs.

Description

technical field [0001] The invention belongs to the field of deep convolutional neural network image recognition and speech recognition learning, relates to convolutional neural network, cyclic neural network, deep learning, image recognition, speech recognition and other technologies, and especially relates to a neural network-based application for improving students problem-solving skills. Background technique [0002] Our country has always adhered to the strategy of rejuvenating the country through science and education, and the development of education has become increasingly rapid. In the process of climbing the educational ladder, the commonly used examination system, so as to cultivate fast and effective problem-solving ideas, has attracted more and more attention from the parents of students. [0003] The achievements of current image recognition technology and speech recognition technology are advancing by leaps and bounds in the field of academic research, but mo...

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): G06K9/00G10L15/26G06N3/04G06N3/08G06Q50/20
Inventor 余昊清束元吴中健章东平
Owner CHINA JILIANG UNIV
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