CN114220305B - Teaching system based on artificial intelligent image recognition technology - Google Patents
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Abstract
The invention relates to a teaching system based on an artificial intelligent image recognition technology, which comprises an image input module, an AI recognition module, a teaching knowledge point input module, a modification and input module, a label and index module, a touch panel terminal, a data interaction module and a knowledge point display module. The invention applies the AI technology and the image recognition technology to the modern teaching system, students sort out knowledge points in related teaching materials, and aiming at related suspicious difficult points or unintelligible knowledge points in the teaching materials, the image recognition technology and the AI technology are utilized to recognize the difficult points or the unintelligible knowledge points on the paper teaching materials, and the corresponding solutions are finally obtained from a database by operation; the method does not need the time spent by the user for sorting and manual input, and has good interactive experience and good application effect.
Description
Technical Field
The invention relates to a teaching system based on an artificial intelligence image recognition technology, and belongs to the technical field of artificial intelligence.
Background
AI artificial intelligence is currently a very developed and advanced technology on commercial services, such as: the method has the advantages of large sample size, rich functions and leading algorithm, and is a commercial open platform such as Tencentrated AI open platform and ModelArts.
However, there are few open programs involved for teaching systems. At present, along with the requirement of the education field on intellectualization, the traditional classroom teaching mode is more and more difficult to meet the requirement of contemporary education.
At present, students in China learn two ways, namely, teaching by teaching teachers in schools or other extracurricular education institutions, and self-learning. In the existing self-learning mode, students have two difficulties in self-learning, namely, the instruction of the students on the difficult knowledge points on books cannot be developed in great detail, and the students can be more likely to be similar to the well-understood knowledge points. Secondly, if students want to look into depth, they need to inquire or consult with the senior citizen through the input mode through the network, the process is tedious and difficult to arrange.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides a teaching system based on an artificial intelligent image recognition technology, which has the following specific technical scheme:
a teaching system based on artificial intelligence image recognition technology, comprising: the system comprises an image input module, an AI identification module, a teaching knowledge point input module, a modification and input module, a label and index module, a touch panel terminal, a data interaction module and a knowledge point display module.
As an improvement of the technical proposal, the image input module is used for scanning the paper teaching material to obtain the electronic image teaching material,
the AI identification module is used for carrying out feature extraction and AI identification on the electronic image teaching materials to obtain a first digital teaching material, and the first digital teaching material is uploaded to the cloud database;
uploading the downloaded digital teaching materials to a cloud database through a teaching knowledge point input module;
carrying out knowledge point induction and summarization on the digital teaching materials in the cloud database through a modification and recording module, and inserting induction and summarization contents into the digital teaching materials to obtain modified digital teaching materials;
labeling key contents in the modified digital teaching materials and establishing index links through a label and index module;
downloading a first digital teaching material from a cloud database and displaying the first digital teaching material on a display screen of a touch panel terminal, correcting and modifying the first digital teaching material according to the content corresponding to the paper teaching material by a user to obtain a second digital teaching material, and uploading the second digital teaching material to the cloud database;
intercepting, typesetting and inputting partial contents of the second digital teaching material by a user through the touch panel terminal according to learning requirements to obtain data to be confused; capturing corresponding relevant knowledge points from the modified digital teaching materials through a data interaction module, a label and an index module;
and the data to be confused and the relevant knowledge points corresponding to the data to be confused are displayed in a text mode on the touch panel terminal, and the voice display and the video display are displayed to a user through the knowledge point display module.
As an improvement of the technical scheme, the system further comprises a comparison module, wherein the comparison module is used for comparing the similarity between the first digital teaching material and the digital teaching material stored in the cloud database and between the first digital teaching material and the modified digital teaching material, and the digital teaching material with the similarity larger than the set threshold value and the modified digital teaching material are collected into a to-be-selected teaching material set; and displaying each to-be-selected teaching material in the to-be-selected teaching material set on a display screen of the touch panel terminal, and comparing the content of each to-be-selected teaching material in the to-be-selected teaching material set with the content corresponding to the paper teaching material by a user so as to screen out to-be-selected teaching materials consistent with the content corresponding to the paper teaching material, and obtaining the second digital teaching material by the to-be-selected teaching materials consistent with the content corresponding to the paper teaching material.
As an improvement of the technical scheme, the AI recognition module firstly constructs a neural network in the AI recognition process, and combines a genetic algorithm with the BP neural network to form a deep learning model.
As an improvement of the technical scheme, the method for intercepting, typesetting and inputting part of the content of the second digital teaching material by the user through the touch panel terminal comprises the following steps:
the user performs frame selection on part of the contents of the second digital teaching material to obtain frame selection contents, and intercepts the frame selection contents to obtain key contents;
when the text part of the frame selection content is selected in a text bottom marking mode to obtain key content, confirming the key content through a confirmation button after finishing the key content selection, and deleting the rest part of the frame selection content after finishing the confirmation;
when the text part of the frame selection content is marked in the text middle part, the non-key content is deleted, after the non-key content is completely deleted, the non-key content is confirmed through a confirmation button, and after the confirmation is finished, the rest part of the frame selection content is the key content;
when the key contents are required to be typeset, the different key contents are moved and typeset according to preset requirements;
when the key content is required to be recorded, the corresponding content is input in the key content attachment through an input method.
As an improvement of the technical scheme, when the text bottom of the text part of the frame selection content is marked, the coverage degree and the coverage position between the marked line segment and the marked text are judged through the AI recognition module; when the judgment result is that the scribing is successful, the scribed characters are reserved and the scribing operation is continued; if the result of the judgment is "scribing failure", the part of the scribed line segment judged as "scribing failure" is deleted, and scribing operation is performed again.
As an improvement of the technical scheme, when the character middle part of the character part of the frame selection content is marked, the coverage degree and the coverage position between the marked line segment and the marked character are judged through the AI identification module; when the judgment result is that the scribing is successful, the scribed characters are deleted and the scribing operation is continued;
when the judgment result is 'scribing failure', deleting the part of the scribed line section judged to be 'scribing failure', restoring the corresponding characters, and carrying out scribing again.
As an improvement of the technical scheme, the system further comprises a question centralized solving module, wherein a user inputs a question stem to be solved through the touch panel terminal, firstly, corresponding relevant knowledge points are captured from the modified digital teaching materials through the data interaction module, the tag and the index module, and the user judges whether the relevant knowledge points are useful or not; if the judging result is "unused", the suspicious issue stems are transmitted to a suspicious centralized solving module, and the suspicious issue stems at the suspicious issue stems are matched, combined and classified through a fuzzy algorithm.
The invention has the beneficial effects that:
the invention applies the AI technology and the image recognition technology to the modern teaching system, students sort out knowledge points in related teaching materials, and aiming at related suspicious difficult points or unintelligible knowledge points in the teaching materials, the image recognition technology and the AI technology are utilized to recognize the difficult points or the unintelligible knowledge points on the paper teaching materials, and the corresponding solutions are finally obtained from a database by operation; the method does not need the time spent by the user for sorting and manual input, and has good interactive experience and good application effect.
Drawings
FIG. 1 is a schematic diagram of a text portion of a frame content with text bottom scoring;
fig. 2 is a schematic diagram of a manner of drawing a text center line for text portions of a box-selected content.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Example 1
The teaching system based on the artificial intelligence image recognition technology comprises: the system comprises an image input module, an AI identification module, a teaching knowledge point input module, a modification and input module, a label and index module, a touch panel terminal, a data interaction module and a knowledge point display module.
The image input module is used for scanning the paper teaching material to obtain an electronic image teaching material,
the AI identification module is used for carrying out feature extraction and AI identification on the electronic image teaching materials to obtain a first digital teaching material, and the first digital teaching material is uploaded to the cloud database;
uploading the downloaded digital teaching materials to a cloud database through a teaching knowledge point input module;
carrying out knowledge point induction and summarization on the digital teaching materials in the cloud database through a modification and recording module, and inserting induction and summarization contents into the digital teaching materials to obtain modified digital teaching materials;
labeling key contents in the modified digital teaching materials and establishing index links through a label and index module;
downloading a first digital teaching material from a cloud database and displaying the first digital teaching material on a display screen of a touch panel terminal, correcting and modifying the first digital teaching material according to the content corresponding to the paper teaching material by a user to obtain a second digital teaching material, and uploading the second digital teaching material to the cloud database;
intercepting, typesetting and inputting partial contents of the second digital teaching material by a user through the touch panel terminal according to learning requirements to obtain data to be confused; capturing corresponding relevant knowledge points from the modified digital teaching materials through a data interaction module, a label and an index module;
and the data to be confused and the relevant knowledge points corresponding to the data to be confused are displayed in a text mode on the touch panel terminal, and the voice display and the video display are displayed to a user through the knowledge point display module.
In the AI identification process, the AI identification module firstly constructs a neural network, and a genetic algorithm is combined with the BP neural network to form a deep learning model.
Application scene: taking the ancient poetry as an example, scanning the ancient poetry book (paper teaching material) through an image input module to obtain an ancient poetry electronic book (electronic image teaching material), performing feature extraction and AI identification on the electronic image teaching material through an AI identification module to obtain a first digital teaching material, and uploading the first digital teaching material to a cloud database, wherein the AI identification module cannot identify hundreds of percent due to the influence of objective factors such as shooting angle, curling degree of paper, fuzzy degree of handwriting and the like, so that the first digital teaching material needs to be manually corrected; the method comprises the following steps:
and downloading the first digital teaching material from the cloud database and displaying the first digital teaching material on a display screen of the touch panel terminal, correcting and modifying the first digital teaching material according to the content corresponding to the paper teaching material by a user to obtain a second digital teaching material, and uploading the second digital teaching material to the cloud database.
The downloaded digital teaching materials are uploaded to the cloud database through the teaching knowledge point input module, are usually digital versions of the existing teaching materials, and corresponding digital teaching materials are downloaded in the digital teaching material databases in all places.
And the teacher carries out knowledge point induction and summarization on the digital teaching materials in the cloud database through the modification and recording module, and inserts induction and summarization contents into the digital teaching materials to obtain modified digital teaching materials.
Labeling key contents in the digital teaching materials modified by the label and index module and establishing index links; specifically, in this embodiment, the poetry name is used as an index, a knowledge base corresponding to each poetry is built, and when storing, a unique label can be built for each poetry to distinguish each poetry; the labels may be a combination of numbers or letters, etc. to facilitate indexing, retrieval. And the teacher inputs the additional knowledge points of the poetry through the modification and input module, and takes the label as a search catalog.
Intercepting, typesetting and inputting partial contents of a second digital teaching material by a user according to learning requirements through a touch panel terminal to obtain data to be confused (places which are not understood by students in autonomous learning, such as ' beggar september in september and early night, dew-like pearl moon-like bow ' and ' bad ' in a ' twilight river of a Tang Dynasty Bai Juyi; capturing corresponding relevant knowledge points from the modified digital teaching material through a data interaction module, a label and an indexing module (indexing is carried out through the label, corresponding relevant knowledge points are retrieved from the additional knowledge points, for example, a teacher interprets a word of poor in advance, when a keyword of poor appears, all entries related to poor are indexed, and students find answers to be known from the corresponding entries.)
And the data to be confused and the relevant knowledge points corresponding to the data to be confused are displayed in a text mode on the touch panel terminal, and the voice display and the video display are displayed to a user through the knowledge point display module.
Example 2
The teaching system based on the artificial intelligent image recognition technology further comprises a comparison module, wherein the comparison module is used for comparing the similarity between the first digital teaching material and the modified digital teaching material stored in the cloud database, and the digital teaching material with the similarity larger than a set threshold value and the modified digital teaching material are collected to be a set of to-be-selected teaching materials; and displaying each to-be-selected teaching material in the to-be-selected teaching material set on a display screen of the touch panel terminal, and comparing the content of each to-be-selected teaching material in the to-be-selected teaching material set with the content corresponding to the paper teaching material by a user so as to screen out to-be-selected teaching materials consistent with the content corresponding to the paper teaching material, and obtaining the second digital teaching material by the to-be-selected teaching materials consistent with the content corresponding to the paper teaching material.
In this embodiment, a manner of obtaining the second digital teaching material is supplemented, and compared with embodiment 1, in embodiment 1, a lot of time is spent on correcting and modifying the first digital teaching material; in this embodiment, a lot of time is saved by comparing the similarity between the pre-stored digital teaching material and the modified digital teaching material. However, this approach has the disadvantage that the approach of example 1 must be used if no compliance is retrieved.
Example 3
The method for intercepting, typesetting and inputting partial contents of the second digital teaching material by the user through the touch panel terminal comprises the following steps:
and the user performs frame selection on part of the contents of the second digital teaching material to obtain frame selection contents, and intercepts the frame selection contents to obtain key contents.
The way how to intercept is as follows:
when the text part of the frame selection content is selected in a text bottom marking mode to obtain key content, confirming the key content through a confirmation button after finishing the key content selection, and deleting the rest part of the frame selection content after finishing the confirmation; as shown in fig. 1, fig. 1 is a schematic diagram of a manner of text bottom-scribing a text portion of a frame-selected content; the content inside the dashed box is the frame selection content.
When the text part of the frame selection content is marked in the text middle part, the non-key content is deleted, after the non-key content is completely deleted, the non-key content is confirmed through a confirmation button, and after the confirmation is finished, the rest part of the frame selection content is the key content; as shown in fig. 2, fig. 2 is a schematic diagram of a manner of marking a text portion of a frame content in a text middle; the content inside the dashed box is the frame selection content.
When the key contents are required to be typeset, the different key contents are moved and typeset according to preset requirements;
when the key content is required to be recorded, the corresponding content is input in the key content attachment through an input method.
Since the character recognition is completed first and the recognized characters are corrected, the error rate is not generated. If the paper teaching material is adopted to carry out corresponding simulation actions, then AI technology, image recognition technology and the like are utilized to carry out intelligent recognition on the simulation actions, the method is more trouble-free, but the method still has the bottleneck of recognition accuracy, and the processing algorithm and the data processing capacity are very large. This implementation of the embodiment has small requirements on the system and algorithm, and is convenient to implement.
Example 4
When the text part of the frame selection content is subjected to text bottom marking, judging the coverage degree and the coverage position between the marked line segment and the marked text through the AI identification module; when the judgment result is that the scribing is successful, the scribed characters are reserved and the scribing operation is continued; if the result of the judgment is "scribing failure", the part of the scribed line segment judged as "scribing failure" is deleted, and scribing operation is performed again.
When the character part of the frame selection content is marked in the middle of the character, judging the coverage degree and the coverage position between the marked line segment and the marked character through an AI (analog input) identification module; when the judgment result is that the scribing is successful, the scribed characters are deleted and the scribing operation is continued;
when the judgment result is 'scribing failure', deleting the part of the scribed line section judged to be 'scribing failure', restoring the corresponding characters, and carrying out scribing again.
The embodiment is further optimized for the two ways of intercepting and obtaining the key content in the embodiment 3, the two ways cannot be selected simultaneously, only one way can be selected, and cross interference caused by simultaneous selection is avoided; through the operation, the interaction effect and the user experience are further improved.
Example 5
The teaching system based on the artificial intelligent image recognition technology further comprises a query centralized solving module, a user inputs a query stem to be solved through the touch panel terminal, corresponding relevant knowledge points are captured from the modified digital teaching materials through the data interaction module, the tag and the index module, and the user judges whether the relevant knowledge points are useful or not; if the judging result is "unused", the suspicious issue stems are transmitted to a suspicious centralized solving module, and the suspicious issue stems at the suspicious issue stems are matched, combined and classified through a fuzzy algorithm.
Application scene: if the question posed by the user does not find an answer, e.g., how many strokes the student has posed the word "poor? The answer to the question is not found in the modified digital teaching material and the additional knowledge points, and the similar questions are combined and classified through the question-set answering module, so that a teacher can answer in a subsequent set conveniently, and the teacher can further optimize teaching contents according to the concentration degree of the questions. As to how to match, merge and classify by the fuzzy algorithm, the keyword indexing mode, such as indexing and searching by using the keywords "poor" and "strokes", can be adopted.
In the embodiment, the AI technology and the image recognition technology are applied to the modern teaching system, students sort out knowledge points in related teaching materials, and aiming at related suspicious difficult points or unintelligible knowledge points in the teaching materials, the image recognition technology and the AI technology are utilized to recognize the suspicious points or unintelligible knowledge points on the paper teaching materials, and corresponding solutions are finally obtained from a database through operation; the method does not need the time spent by the user for sorting and manual input, and has good interactive experience and good application effect.
The teaching system based on the artificial intelligent image recognition technology can solve the problem of low efficiency of self-learning of students after class, is beneficial to improving the self-learning effect of the students, and has simple and convenient input mode and good user experience.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (4)
1. An artificial intelligence image recognition technology-based teaching system is characterized by comprising: the system comprises an image input module, an AI identification module, a teaching knowledge point input module, a modification and input module, a label and index module, a touch panel terminal, a data interaction module and a knowledge point display module;
the image input module is used for scanning the paper teaching material to obtain an electronic image teaching material,
the AI identification module is used for carrying out feature extraction and AI identification on the electronic image teaching materials to obtain a first digital teaching material, and the first digital teaching material is uploaded to the cloud database;
uploading the downloaded digital teaching materials to a cloud database through a teaching knowledge point input module;
carrying out knowledge point induction and summarization on the digital teaching materials in the cloud database through a modification and recording module, and inserting induction and summarization contents into the digital teaching materials to obtain modified digital teaching materials;
labeling key contents in the modified digital teaching materials and establishing index links through a label and index module;
downloading a first digital teaching material from a cloud database and displaying the first digital teaching material on a display screen of a touch panel terminal, correcting and modifying the first digital teaching material according to the content corresponding to the paper teaching material by a user to obtain a second digital teaching material, and uploading the second digital teaching material to the cloud database;
intercepting, typesetting and inputting partial contents of the second digital teaching material by a user through the touch panel terminal according to learning requirements to obtain data to be confused; capturing corresponding relevant knowledge points from the modified digital teaching materials through a data interaction module, a label and an index module;
the method comprises the steps that data to be confused and relevant knowledge points corresponding to the data to be confused are displayed in a text mode on a touch panel terminal, and voice display and video display are displayed to a user through a knowledge point display module;
the method for intercepting, typesetting and inputting partial contents of the second digital teaching material by the user through the touch panel terminal comprises the following steps:
the user performs frame selection on part of the contents of the second digital teaching material to obtain frame selection contents, and intercepts the frame selection contents to obtain key contents;
when the text part of the frame selection content is selected in a text bottom marking mode to obtain key content, confirming the key content through a confirmation button after finishing the key content selection, and deleting the rest part of the frame selection content after finishing the confirmation;
when the text part of the frame selection content is marked in the text middle part, the non-key content is deleted, after the non-key content is completely deleted, the non-key content is confirmed through a confirmation button, and after the confirmation is finished, the rest part of the frame selection content is the key content;
when the key contents are required to be typeset, the different key contents are moved and typeset according to preset requirements;
when key contents are required to be recorded, inputting corresponding contents in the key content attachments through an input method;
when the text part of the frame selection content is subjected to text bottom marking, judging the coverage degree and the coverage position between the marked line segment and the marked text through the AI identification module; when the judgment result is that the scribing is successful, the scribed characters are reserved and the scribing operation is continued; when the judgment result is 'scribing failure', deleting the part of the scribed line section judged to be 'scribing failure', and carrying out scribing operation again;
when the character part of the frame selection content is marked in the middle of the character, judging the coverage degree and the coverage position between the marked line segment and the marked character through an AI (analog input) identification module; when the judgment result is that the scribing is successful, the scribed characters are deleted and the scribing operation is continued;
when the judgment result is 'scribing failure', deleting the part of the scribed line section judged to be 'scribing failure', restoring the corresponding characters, and carrying out scribing again.
2. The teaching system based on artificial intelligence image recognition technology according to claim 1, wherein: the comparison module is used for comparing the similarity between the first digital teaching material and the modified digital teaching material stored in the cloud database, and the digital teaching material with the similarity larger than the set threshold value and the modified digital teaching material are collected into a to-be-selected teaching material set; and displaying each to-be-selected teaching material in the to-be-selected teaching material set on a display screen of the touch panel terminal, and comparing the content of each to-be-selected teaching material in the to-be-selected teaching material set with the content corresponding to the paper teaching material by a user so as to screen out to-be-selected teaching materials consistent with the content corresponding to the paper teaching material, and obtaining the second digital teaching material by the to-be-selected teaching materials consistent with the content corresponding to the paper teaching material.
3. The teaching system based on artificial intelligence image recognition technology according to claim 1, wherein: in the AI identification process, the AI identification module firstly constructs a neural network, and a genetic algorithm is combined with the BP neural network to form a deep learning model.
4. The teaching system based on artificial intelligence image recognition technology according to claim 1, wherein: the system comprises a data interaction module, a label and an index module, wherein the data interaction module is used for modifying the digital teaching materials, and the data interaction module is used for modifying the digital teaching materials; if the judging result is "unused", the suspicious issue stems are transmitted to a suspicious centralized solving module, and the suspicious issue stems at the suspicious issue stems are matched, combined and classified through a fuzzy algorithm.
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