CN112085634A - Smart card and teaching system based on artificial intelligence - Google Patents
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Abstract
The invention discloses an intelligent card-level teaching system based on artificial intelligence, wherein a smart card can autonomously select related chapter contents to be learned on a cloud service platform, teaching material contents of various subjects and electronic version contents of teaching auxiliary exercises are input in advance on the cloud service platform, the electronic exercises of knowledge points of the related subjects are selected by the smart card when the related chapter lessons are selected, the selected exercises are automatically gathered on the platform, the printing format is intelligently adjusted through intelligent typesetting, after the typesetting and the setting of each item are confirmed to be correct, an intelligent card electronic version file comprising a student name handwriting frame, a two-dimensional code and a student number handwriting frame can be automatically generated, and the intelligent card electronic version file is suitable for an A4 layout. The invention solves the problems that teachers cannot accurately master teaching conditions and cannot generate personalized teaching schemes in the existing teaching process.
Description
Technical Field
The invention relates to the field of intelligent education, in particular to an intelligent card based on artificial intelligence and a teaching system.
Background
The traditional teaching mode of schools is that a teacher generally teaches knowledge points, students listen to lessons, the knowledge is consolidated through homework practice exercises after class, and the teacher judges homework to know the knowledge mastering conditions of the students and adjusts follow-up teaching.
Through above mode, the teacher can't master to every student's study condition to the teacher corrects the homework burden greatly, and it is big to prepare lessons pressure, can not carry out the teaching according to the different study state of every student according to the profile, can only teach in step all the time. Meanwhile, students cannot accurately master weak links, and many students do not have the habit of arranging wrong questions and cannot summarize experience from the wrong questions to realize personalized learning.
Disclosure of Invention
Therefore, the invention provides an artificial intelligence-based intelligent card and a teaching system, and aims to solve the problems that teachers cannot accurately master teaching conditions and cannot generate personalized teaching schemes in the existing teaching process.
In order to achieve the above purpose, the invention provides the following technical scheme:
according to the first aspect of the invention, the intelligent card based on artificial intelligence can autonomously select related chapter contents to be learned on a cloud service platform, the teaching material contents of various subjects and the electronic version contents of teaching and assisting exercises are input in advance on the cloud service platform, the intelligent card is used for selecting the electronic exercises of related chapter lessons and related subject knowledge points, the selected exercises are automatically collected on the platform, the printing format is intelligently adjusted through intelligent typesetting, after the typesetting and the setting of each item are confirmed to be correct, the intelligent card electronic version file containing a student name handwriting frame, a two-dimensional code and a student number handwriting frame can be automatically generated, and the intelligent card electronic version file is suitable for an A4 layout.
Furthermore, the intelligent card electronic edition file can be printed and glued, and when the intelligent card is needed after printing, and students can tear a certain page of related content when writing homework in a classroom or after class.
Further, the smart card is provided with two-dimensional codes containing student information, each two-dimensional code is matched with the school number of the student, and score information and archive information of the student can be read by scanning the two-dimensional codes.
According to the second aspect of the invention, the teaching system based on artificial intelligence is disclosed, the teaching system is based on an intelligent card, the students are subjected to capacity detection, the students answer on the printed intelligent card, the intelligent card image answered by the students is recorded into the system by utilizing scanning equipment, handwritten answer marks of the students are reserved, homework data is recorded and uploaded to a cloud service platform, the answering contents of the students are judged and scored through image recognition, score analysis reports are generated by associating the scores of each student according to scanned two-dimensional code information, the questions of each student are collected and summarized, wrong-class and student-dimension problem books are generated, personalized wrong problem books are formed, teachers select wrong questions from the wrong problem books, targeted training is performed on the relevant students, knowledge consolidation is performed, and a closed learning loop is formed.
Furthermore, the scanning equipment is connected with a computer, the answered intelligent card is placed at a paper feeding port which is arranged in a scanning mode, the two-dimensional code is scanned firstly, student information is read, image content on the intelligent card is automatically scanned, subjective questions and objective questions of the students are kept for handwriting answering marks, actual conditions of homework data are truly recorded, and data support is provided for subsequent teacher explaining homework.
Furthermore, after the scanning device scans the smart card, the image information is uploaded to a cloud service platform through a computer, the cloud service platform performs image segmentation to distinguish a question stem area and a response area, color enhancement and character extraction are performed on the image in the response area, and response content is identified.
Furthermore, the cloud service platform compares answers of the identified answering contents through an artificial intelligence comparison model trained in advance, judges whether the answers of students are correct or incorrect, scores the answers according to judgment results, gives a score of each question, summarizes scores of all the questions after the evaluation of all the questions is finished, and calculates the overall score of the students.
Furthermore, the cloud service platform generates score reports of the whole class and the individual dimensionalities of the students according to the scores and the answering conditions of the students, and meanwhile, the cloud service platform can also form knowledge point grasping analysis reports of the whole class and the individual dimensionalities of the students.
Furthermore, the cloud service platform marks and collects wrong questions of each student, associates the wrong questions with corresponding students through the two-dimensional codes, generates a unique wrong question book of each student, and associates corresponding knowledge points according to the corresponding wrong questions to perform key labeling on the knowledge points with more errors.
Furthermore, in the teaching system, a teacher can accurately master the knowledge mastering condition of the academic conference through the student and class score analysis reports, selects wrong questions from the generated wrong question book, carries out targeted training on corresponding students, consolidates knowledge and forms a closed loop for teaching and learning.
The invention has the following advantages:
the invention discloses an artificial intelligence-based intelligent card and a teaching system, which solve the problem that normalized data in the learning process cannot be effectively collected, realize the conversion of link data such as pre-diagnosis, post-detection, operation, examination and the like from manual recording to artificial intelligence automatic recording, and realize the scientific recording and analysis of learning data by means of big data; a complete closed loop from resource storage, data acquisition and data analysis to data feedback of learning data is formed, and possibility is provided for the teaching of the factors and the personalized learning; on the premise of not changing the existing teaching mode, the learning burden of students is reduced, the students can clearly know personal weak links and autonomously control the learning progress, and personalized learning is realized; the burden of lessons preparation of teachers is reduced, the classroom efficiency of teaching is improved, the mode of tutoring after class is optimized, and the purpose of teaching according to the material and accurate teaching are realized; hardware teaching equipment and software teaching resources which are equipped in the school are mastered, extra economic burden of the school is not increased, and education balance development is realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions that the present invention can be implemented, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the effects and the achievable by the present invention, should still fall within the range that the technical contents disclosed in the present invention can cover.
FIG. 1 is a flow chart of a teaching system based on artificial intelligence according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a smart card scanning process for a smart card based on artificial intelligence according to an embodiment of the present invention;
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Examples
The embodiment discloses an intelligent card based on artificial intelligence, which is characterized in that the intelligent card can autonomously select related chapter contents needing to be learned on a cloud service platform, the teaching material contents of various subjects and the electronic version contents of teaching auxiliary exercises are input in advance on the cloud service platform, and the intelligent card is used for selecting the electronic exercises of related chapter lessons and related subject knowledge points.
The method comprises the steps that a school combines teaching resources of teaching and research groups of various subjects according to self learning condition and learning features, an AI smart card which is personalized and accords with the self learning condition of the school is established on a hexadecimal classroom teaching cloud service platform, selected exercises are automatically collected on the platform by selecting electronic exercises of associated chapter lessons and associated subject knowledge points, and after the intelligent typesetting and intelligent adjustment of printing formats are carried out, after the typesetting and the setting of various items are confirmed to be correct, an AI smart card electronic version file which comprises a student name handwriting frame, a two-dimensional code and a student number handwriting frame and is suitable for an A4 page can be automatically generated.
The intelligent card electronic edition file can print the mucilage binding, and the back smart card of printing when needs, the student when writing the homework in classroom or class, tears a certain page of content relevant, has the two-dimensional code that contains student's information on the smart card, and every two-dimensional code can read student's score information and archives information through scanning the two-dimensional code with student's study number phase-match.
The embodiment also discloses a teaching system based on artificial intelligence, a serial communication port, the teaching system is based on the smart card, carry out ability detection to the student, the student answers on the smart card that prints out, utilize the smart card image input system that scanning device answered the student, keep the student and write by hand the trace of answering, really record the homework data, upload to high in the clouds service platform, through image recognition, judge and score student's content of answering, according to the two-dimensional code information of scanning, associate the score of every student, generate score analysis report, and collect and conclude every student's mistake question, generate class and student's dimension's wrong answer book, form individualized wrong answer book, the teacher selects the mistake question from wrong answer book, carry out the pertinence training to relevant student, carry out the knowledge consolidation, form the closed loop of learning.
The scanning device is connected with the computer, the answered intelligent card is placed at a paper feeding port which is arranged in a scanning mode, the two-dimensional code is scanned firstly, student information is read, image content on the intelligent card is automatically scanned, the handwritten answering traces of subjective questions and objective questions of students are reserved, the actual situation of homework data is truly recorded, and data support is provided for follow-up teacher explaining homework. After the scanning device scans the smart card, the image information is uploaded to the cloud service platform through the computer, the cloud service platform performs image segmentation to distinguish a question stem area and a response area, color enhancement and character extraction are performed on the image in the response area, and response content is identified.
The cloud server is provided with an image preprocessing module and a character recognition module. The image preprocessing module is used for preprocessing the image information acquired by the image acquisition module and screening out character images at the designated positions; the character recognition module is used for carrying out character recognition on the character image at the specified position; and the character pronunciation conversion module is used for converting the character information and the digital information identified by the character identification module. In an embodiment, the image preprocessing module comprises an image shaping module and a screening module, and the image shaping module calibrates the relative position of each character image in the acquired image; and then screening out character images at the preset positions from the shaped images by a screening module to be used as characters to be identified. The character recognition module recognizes the image information of the character image at the designated position and converts the image information into corresponding character information
When the character region segmentation is performed on the target image, the character region segmentation can be performed by using a model obtained through pre-training, and then a binary image is obtained. Specifically, when model training is performed in advance, an image including a character may be used as a training sample, pixel features of the character and pixel features of non-characters in the image may be trained, and a model for determining whether a pixel is a pixel corresponding to the character may be obtained. When model training is carried out, training can be carried out based on a two-classification fresh method of a deep learning network. After the model is obtained through training, when the target image is subjected to character region segmentation, the target image can be used as the input of the model, and after the model is processed on the target image, which pixels in the target image are corresponding to characters and which pixels are not corresponding to the characters can be output.
According to the output result of the model, the pixel corresponding to the character can be marked as "0", the pixel corresponding to the non-character can be marked as "1", or the pixel corresponding to the character can be marked as "1", and the pixel corresponding to the non-character can be marked as "0", so that a binary image for representing the character area and the non-character area in the target image can be obtained.
After obtaining the binary image based on the pre-trained model, in an embodiment of the present application, in order to ensure the accuracy of the binary image, denoising may be performed on the binary image, where the purpose of denoising is to purify the binary image and remove a misrecognized portion of the binary image.
When the binary image is denoised, a communication domain included in the binary image may be calculated, and the binary image is denoised by using an expansion algorithm or an erosion algorithm of the image communication domain, which may be specifically referred to a method described in the prior art and will not be described in detail herein. After the binary image is obtained, the character region in the binary image can be subjected to tilt correction to obtain a binary image of the character region. Thus, the subsequent character recognition can be facilitated.
The cloud service platform compares answers of the identified answering contents through an artificial intelligence comparison model trained in advance, judges whether the answers of students are correct or incorrect, scores the answers according to the judgment results, gives the score of each question, summarizes the scores of all the questions after the evaluation of all the questions is finished, and calculates the overall score of the students; the cloud service platform generates score reports of the whole class and the individual dimensionalities of the students according to the scores and the answering conditions of the students, and meanwhile, knowledge point grasping analysis reports of the whole class and the individual dimensionalities of the students are formed. The teacher can master the knowledge points of the students conveniently, the teaching plan can be adjusted conveniently, and important repeated explanation can be carried out on weak links.
The cloud service platform marks and collects wrong questions of each student, associates the wrong questions with corresponding students through the two-dimensional codes to generate a unique wrong question book of each student, and performs key marking on knowledge points with more errors according to corresponding knowledge points associated with the wrong questions; in the teaching system, a teacher can accurately master the knowledge mastering condition of an academic conference through score analysis reports of students and classes, selects wrong questions from a generated wrong question book, carries out targeted training on corresponding students, consolidates knowledge, and forms a closed loop for teaching and learning. Through the wrong problem book, a large amount of wrong problem training and similar knowledge point exercises can be carried out on students, the learning effect is pertinently improved, and the students can be helped to quickly improve the score.
The invention discloses an artificial intelligence-based intelligent card and a teaching system, which solve the problem that normalized data in the learning process cannot be effectively collected, realize the conversion of link data such as pre-diagnosis, post-detection, operation, examination and the like from manual recording to artificial intelligence automatic recording, and realize the scientific recording and analysis of learning data by means of big data; a complete closed loop from resource storage, data acquisition and data analysis to data feedback of learning data is formed, and possibility is provided for the teaching of the factors and the personalized learning; on the premise of not changing the existing teaching mode, the learning burden of students is reduced, the students can clearly know personal weak links and autonomously control the learning progress, and personalized learning is realized; the burden of lessons preparation of teachers is reduced, the classroom efficiency of teaching is improved, the mode of tutoring after class is optimized, and the purpose of teaching according to the material and accurate teaching are realized; hardware teaching equipment and software teaching resources which are equipped in the school are mastered, extra economic burden of the school is not increased, and education balance development is realized.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (10)
1. The utility model provides a smart card based on artificial intelligence, a serial communication port, the relevant chapter content that needs study can independently be selected to the smart card on high in the clouds service platform, the teaching material content of each subject, the electronic version content of teaching assistance exercise are input in advance on the high in the clouds service platform, utilize the smart card to select when the chapter lessons of relevance, the electronization exercise of associated subject knowledge point, the exercise that will select gathers automatically on the platform, through intelligent typesetting, the format is printed in intelligent adjustment, after confirming that typesetting and each item set up surely, can the automatic generation contain student's name handwriting frame, two-dimensional code, student's study number handwriting frame to be applicable to the smart card electronic version file of A4.
2. The smart card of claim 1, wherein the smart card electronic file is capable of being printed and glued, and when the printed smart card is needed, the student can tear off a certain page of related content when writing in a classroom or after class.
3. The smart card based on artificial intelligence as claimed in claim 1, wherein said smart card has two-dimensional codes containing student information, each two-dimensional code is matched with student number, and the student score information and the archive information can be read by scanning the two-dimensional codes.
4. The utility model provides a teaching system based on artificial intelligence, a serial communication port, teaching system is based on the smart card, carry out the ability detection to the student, the student answers on the smart card that prints out, utilize the smart card image input system that scanning device answered the student, keep the student and write by hand the trace of answering, really record homework data, upload to high in the clouds service platform, through image recognition, judge and score student's content of answering, according to the two-dimensional code information of scanning, associate the score of every student, generate score analysis report, and collect and conclude every student's wrong question, generate the wrong question book of class and student dimension, form individualized wrong question book, the teacher selects wrong question from wrong question book, carry out the pertinence training to relevant student, carry out knowledge consolidation, form the closed loop of study.
5. The artificial intelligence based teaching system of claim 4, wherein the scanning device is connected to a computer, the answered smart card is placed at a paper feeding port arranged in a scanning manner, the two-dimensional code is scanned first, student information is read, image content on the smart card is automatically scanned, subjective questions and objective handwriting answering traces of students are reserved, actual conditions of homework data are recorded truly, and data support is provided for subsequent teacher explaining homework.
6. The teaching system of claim 4, wherein after the scanning device scans the smart card, the scanning device uploads image information to the cloud service platform through the computer, the cloud service platform performs image segmentation to distinguish question stem areas and answering areas, performs color enhancement and character extraction on the image in the answering areas, and identifies answering contents.
7. The teaching system based on artificial intelligence of claim 6, wherein the cloud service platform compares answers of the identified answers through an artificial intelligence comparison model trained in advance, judges whether the answers of students are correct or incorrect, scores the answers according to the judgment results, gives the score of each question, and summarizes all the questions after the judgment of all the questions to calculate the overall score of the students.
8. The teaching system of claim 6, wherein the cloud service platform generates score reports for class integrity and individual dimension of students according to the score and answer condition of each student, and forms knowledge point grasping analysis reports for class integrity and individual dimension of students.
9. The artificial intelligence based teaching system of claim 6, wherein the cloud service platform marks and collects wrong questions of each student, associates the wrong questions with the corresponding students through the two-dimensional codes to generate a wrong question book unique to each student, and highlights the knowledge points with more errors according to the knowledge points corresponding to the corresponding wrong question associations.
10. The artificial intelligence based teaching system of claim 4, wherein the teacher in the teaching system can accurately master the knowledge mastery condition of the student and the class through the score analysis report of the student and the class, and can select the wrong questions from the generated wrong question book, perform targeted training on the corresponding students, consolidate the knowledge, and form a closed loop for teaching and learning.
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