Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Intelligent learning media interaction analysis method and device

An analysis method and intelligent learning technology, applied in the field of self-media

Active Publication Date: 2018-03-30
董云鹏
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, as far as the accuracy and accuracy of the data are concerned, they are obtained in the background of a certain knowledge field, so there are certain limitations.

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
  • Intelligent learning media interaction analysis method and device
  • Intelligent learning media interaction analysis method and device
  • Intelligent learning media interaction analysis method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] An intelligent learning media interaction device provided by an embodiment of the present invention, such as figure 1 The structure of the device is shown as follows:

[0065]Acquisition device 102: in combination with "the first aspect, the embodiment of the present invention provides the first possible implementation mode of the first aspect", its function is to acquire the target data sent by the object according to the range determined by the target content; for example, according to " On Blood Pressure from the Angle of Fluid Mechanics, the object and target data are collected by the Ukang sphygmomanometer and the systolic blood pressure of a person is 80mmHg, and then the target data is sent "the systolic blood pressure of a person measured by the Ukang sphygmomanometer is 80mmHg", among which, the target object To collect someone's blood pressure, the characteristic data is blood pressure, the attribute data is systole (data type), and the data value is 80mmHg (i...

Embodiment 2

[0087] A method and device for media interaction analysis with self-learning ability provided by the embodiment of the present invention, wherein the electronic device is composed of multiple modules, such as figure 2 shown, including:

[0088] Step S41, the management module, the carrier of which is 1041: In combination with "the first possible implementation of the first aspect, the second possible implementation of the first aspect is provided", before collecting the target data, obtain the preset The electronic media of the media presupposes that the media contains theoretical knowledge or the definition data and data values ​​of the object and target data, and the meaning of the data values, etc.;

[0089] Divide and process electronic media to obtain multiple module data, among which, one module data corresponds to a class of attribute information and data values ​​that must have object or target data; among them, the theoretical knowledge of target data and the meaning...

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 provides a media interaction method and device with self-learning abilities, and relates to the technical field of self-media. The core analysis method of the device includes the steps of target content management, target data collection under target content coverage, target data and content relevance analysis and performing question answering and guidance on the target data throughthe target content, and verification and correction of the target content through the target data. The media interaction method includes the steps of extracting the target content from an electronic media and obtaining the target data sent by an object, wherein the range of the target data is determined by the target content; performing relevance analysis on the target data and the target content,generating an analysis result, verifying and correcting the target content, and performing question answering and guidance on the target data. The method and device provide intelligent learning, solve the problem of relative low accuracy and precision of data collected in the past, effectively eliminate the state of higher target content error, implement the concept of associating theory with practice in cultural communication, and shorten the periodicity of scientific culture verification.

Description

technical field [0001] The present invention relates to the field of self-media technology, in particular to a learning self-media interaction method and device. Background technique [0002] At present, the media is chaotic, the error rate is high, and data collection often requires people to operate, and the collected data needs to be analyzed by people to deepen people's cognition of objective things, and the traditional method of equipment description is on each collection device Comes with an instruction manual to improve the relative precision and accuracy of the data. [0003] In order to have a deeper understanding of objective things (including people and things) in life, people will express objective things with a variety of media, and the representative media are books or papers. In today's era of knowledge explosion, science and technology develop rapidly, new things emerge in endlessly, and the research angles of things are also changing with each passing day. ...

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
IPC IPC(8): G06F17/30
CPCG06F16/2379G06F16/2462G06F16/9558
Inventor 董云鹏
Owner 董云鹏
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products