TWI731577B - Learning state improvement management system - Google Patents

Abstract

The invention relates to a learning state improvement management system, which is mainly used to photograph the learning situation of students in a teaching place through a photographing unit to obtain a learning photographic material, and then to analyze and analyze the identity of each student based on the identity comparison data of each student to learn the identity of each student in the photographic material, And then collect videos of their learning status for each student to obtain learning status video data, and then analyze the learning status analysis data and learning status improvement suggestions for this learning status video data. In this way, teachers, parents, and students can understand their learning status based on the results of the above analysis, and can also improve their own deficiencies based on the learning status improvement suggestions, so that students using this system can greatly improve their learning abilities, Learning status and learning effectiveness.

Description

Learning status improvement management system

The present invention relates to an analysis management system, especially a learning status improvement management system.

By the way, when students are studying in school institutions, cram schools or kindergartens, the way to judge whether their studies are progressing is usually through examinations, and through comparison of the results of the two examinations before and after, or through comparison with the results of other students in the class , To use this as a basis for judging whether to make progress.

However, the above methods of measuring the level of learning will have many drawbacks. For example, students adopt improper methods in pursuit of book results, or students have unsatisfactory results due to mistakes, etc. It is difficult to truly measure students' learning achievements. In addition, for young students, cultivating correct study habits, attitudes, and concentration from an early age is far more important than academic performance. It will affect the whole life, whether in study, work, or other aspects. For this reason, the inventor of this case believes that if there is a way to judge and analyze the learning attitude and learning state of the students for adjustment or enhancement, it will be of great help to the future of the students. In view of this, the inventor of this case began to think about its solution.

In view of the shortcomings described in the prior art, the inventor of this case proposes a solution Paragraph, the method is about a learning status improvement management system, including: a cloud server is connected to a smart learning device information, the cloud server has learning photography data; a learning database: has a learning file, the learning file includes A student’s identity comparison data and a sub-database corresponding to the learning history of one of the students; the smart learning device includes: a photographing unit set on the smart learning device to photograph the student’s learning status to obtain a learning photographic data ; A learning status record unit: the information is connected to the photography unit and the learning database. The learning status record unit will first compare the identity of the student in the learning photography data based on an identity comparison data. When the identity matches the identity comparison data, the learning status of the student in the learning photography data is captured to obtain a learning status video and audio data, which is stored in the learning process sub-database; a learning status analysis improvement unit: information Connecting to the learning database, the learning status analysis and improvement unit can analyze the audiovisual data of each learning status within a preset period for judging the student's learning status, and obtain a learning status analysis data, and then according to the learning status Analyze the data to obtain a learning condition improvement suggestion data, and store the learning condition analysis data and the learning condition improvement suggestion data in the learning process sub-database.

The learning status recording unit includes a first recording data; the learning status analysis and improvement unit can extract a part of the foreign language pronunciation in the first recording data to obtain a pronunciation data, and then judge the pronunciation accuracy according to the pronunciation data, and A pronunciation accuracy analysis result is obtained, and the pronunciation accuracy analysis result is stored in the learning process sub-database.

The learning condition analysis and improvement unit can be used to capture the part of the question answer and question question in the learning photographic data, and then judge the result of the correct answer to obtain an answer accuracy analysis result, and then the answer accuracy analysis result Stored in the learning history sub-database.

Among them, an image analysis processing unit is included to analyze the learning photographic data.

Among them, the learning condition analysis and improvement unit can be used to analyze the learning photography data, judge the students' learning concentration and learning interest level according to the students' eye, mouth, and body conditions in the learning photography data, and store the analysis results in the learning history In the sub-database.

It also includes an e-book, which is connected to the smart learning device and the cloud server information.

The e-book can be used for remote information to link the learning status record unit, the e-book can be used to complete the test data, and after obtaining a test answer data, the e-book then displays the answer data corresponding to the test data, and The test answer data is returned to the learning status record unit.

Among them, there is a reading pen, which is connected to the intelligent learning device and the cloud server information.

Wherein, the remote information of the reading pen is connected to the learning status recording unit; the reading pen includes a recording unit, the recording unit can be used to record the student's foreign language pronunciation to obtain a second recording data, and the second recording data Send to the learning status recording unit for the learning status recording unit to store the second recording data in the learning history sub-database.

Wherein, a reminder unit connected to the e-book with remote information is further provided, and the reminder unit can be used to send a message when the second recording data and the test response data have not been received by the learning status recording unit after a preset date has passed. Reminder message to the e-book.

According to this, through the learning status improvement management system proposed by the invention, users can learn through smart learning equipment regardless of location, and the smart learning equipment information is connected to the cloud server for identity comparison and corresponding A sub-database of the student's learning history can record and analyze the current learning situation in real time, so as to obtain the improvement effect of learning.

Among them, the learning status analysis data includes: concentration analysis, interest analysis, learning response analysis, learning achievement analysis, etc., and then analysis based on the learning status The data proposes suggestions for improvement, and the obtained suggestions for improving the learning conditions are stored in the learning process sub-database. In this way, students, class teachers, parents, and even relevant personnel of teaching management can use the learning status analysis data and the learning status improvement suggestion data to understand the status of the student, and the method to assist the student to improve, thereby making the use of the present invention Students can get substantial improvement and help in learning.

9: Cloud server

91: learning library

92: Learning File

93: Identity comparison information

94: Learning History Sub-database

95: Learning status video and audio materials

8: Smart learning equipment

81: Photography Unit

82: Learning Status Recording Unit

83: Learning Status Analysis and Improvement Unit

84: Learning photography materials

85: Question Bank

86: Answer Bank

3: Auxiliary photography unit

5: E-book

6: Point reading pen

61: recording unit

7: Reminder unit

Figure 1 is a schematic diagram of the connection of various components of the present invention

Figure 2 is a schematic diagram of the connection of various components of the present invention

The following describes various embodiments of the present invention in conjunction with FIG. 1. First, the main embodiment of the present invention is related to a learning state improvement management system, including: a cloud server 9 is connected to an intelligent learning device 8; the cloud server The device 9 has a learning database 91, a learning file 92, an identity comparison data 93, and a learning history sub-database 94: the smart learning device 8 mentioned here is not limited to the form of its carrier, for example, An AI intelligent learning robot can be used as a carrier, or an AI learning computer can be used as a carrier.

The learning database 91 mainly stores the data of a plurality of students. The learning file 92 stores the learning information of each student. The learning file 92 includes a student's identity comparison data and a learning history sub-database. The identity comparison data, such as the student’s physiological parameter information, such as facial feature data, body contour feature data, etc., for those that can be achieved by current facial recognition technology, the recognition process and results can be used as the basis for identity recognition , Are the identity comparison data referred to in this manual. In addition, blockchain technology can be used to store the aforementioned identity comparison data 93. After the identity is confirmed, the student’s personal learning history sub-database 94 stored in the cloud server 9 can be called up for subsequent follow-up of the student. Real-time learning status recording, analysis and improvement.

The intelligent learning device 8 includes: a photographing unit 81, a learning condition recording unit 82, and a learning condition analysis and improvement unit 83: the photographing unit 81 is set on the intelligent learning device 8 to photograph the student’s learning condition, and obtain A learning photographic material 84; and the intelligent learning device 8 mentioned here can be an AI learning robot as a carrier, presented in the form of an AI learning robot, or a companion robot, or it can be executed by a portable electronic device , And if it is one-to-one for home use, it can be an AI learning robot or a companion robot. If there is one-to-many demand, such as school institutions, cram schools or kindergartens, you can use portable electronics The device is used as a carrier, such as a PDA or a piece of electricity or a computer host, etc., which are set in a teaching site for taking pictures of students’ learning conditions. According to this, a plurality of students’ learning photography materials 84 can be obtained, among which the learning photography The data 84 includes image data and audio data, that is, includes image data and audio data of one or more students when they are learning through the intelligent learning device 8.

Therefore, the present invention can be provided to self-learning students, home use, or school institutions, cram schools, kindergartens, etc., to analyze, improve and manage the learning state. In the following, this manual uses kindergarten students as an example to illustrate the advantages and features of the present invention. However, it is not limited to kindergarten students, and the form of learning can be in a classroom with multiple students studying together, or just one Students can study alone. According to this, the use of the learning status improvement management system proposed by the present invention can not only improve the learning status, but also can be used in any place without being limited to the teaching place, especially if you encounter During the special control period of influenza or highly infectious diseases, it is the best choice to use the learning status improvement management system proposed by the present invention. The learning conditions described here include students’ responses to class, body movements, eye and mouth shapes, the content of the teacher’s questions, the volume of the answers, concentration, etc., for those who are related to the analysis of the teaching status, they are all referred to in this manual. Refers to the learning status.

Please refer to Figure 2, the smart learning device 8 further includes a learning status recording unit 82 and a learning status analysis and improvement unit 83, the learning status recording unit 82 information is connected to the The photography unit 81 and the learning database 91. The learning status record unit 82 first compares the identities of the students in the learning photography data 84 according to the identity comparison data 93, and then tracks the learning status of each student to obtain one The audio-visual data of the learning status are stored in the learning history sub-database. In order to prevent the learning process from being tampered with, blockchain technology can be used to store the aforementioned identity comparison data 93. Although the identity of each student is retrieved from the learning photography data 84 for comparison, one more can be confirmed by the blockchain Code procedures to prevent the learning materials from being tampered with.

For one-to-one needs, it is only necessary to obtain the learning photography data 84 through the photography unit 81 installed on the smart learning device 8, and then use the identity comparison data 93 to obtain the personal-based audio-visual data 95 of the learning situation. , But if it is a one-to-many demand such as a school institution, a cram school or a kindergarten, you can additionally connect the auxiliary camera unit 3 to be distributed in the teaching site, and connect to the cloud server 9 in a wireless or wired manner for information When shooting the learning situation in various directions, the learning situation recording unit 82 can also obtain the learning photography data 84 from different angles of the multiple photography unit 81 and the auxiliary photography unit 3, and then compare the identity through the identity comparison data 93. The audio-visual data 95 of the learning status of individual students and multiple sections are analyzed, and each student has the audio-visual data 95 of the learning status that is unique to each student, that is, each student’s learning process, at all angles and at all points in time , After capturing the audiovisual data through the photographing unit 81 or the auxiliary photographing unit 3, they are stored in the learning database 91 respectively. It should be particularly noted that the technology for analyzing the learning photographic data 84 can use an image analysis processing unit, which may include facial micro-expression recognition or body recognition, etc., and is not particularly limited. According to this, individual students in the learning photographic data 84 are analyzed The eye condition, mouth opening and closing, and body condition judge the student’s degree of concentration and interest in learning, and store the analysis results in the learning process sub-database.

The learning status analysis and improvement unit 83 is connected to the learning database 91. The learning status analysis and improvement unit 83 can analyze the learning status video and audio data 95 to determine the student’s learning status and obtain a learning status analysis data. Among them, the learning status analysis resource The materials include: including the use of image analysis technology and voice analysis technology to analyze the audio-visual data of the learning situation. The image analysis technology uses the current facial recognition and body contour recognition to combine with each other, and the voice analysis technology uses the current comparison of the radio quality comparison. Good equipment, such as pointing microphones, or personal wearable radio microphones, are analyzed with a standard database for comparison. The analysis content includes: eye opening and closing degree analysis, eye concentration analysis, mouth shape Analysis of the degree of matching with pronunciation, analysis of the number of mouth openings, facial expression analysis, eye movement frequency, head rotation frequency, sound wave frequency, brain wave information, physical activity and other values and indicators to determine the degree of concentration and interest in learning , And then analyze according to the learning condition analysis data to obtain a preliminary analysis result, and then generate a learning condition improvement suggestion data based on the preliminary analysis result, which is presented through the learning condition analysis and improvement unit 83, and The learning status analysis data and the learning status improvement suggestion data are stored in the learning process sub-database.

The aforementioned comparison is performed with a standard database, that is, if it is a predetermined teaching content, the teaching content and the standard database are input to the cloud server in advance. For example, when the course content is an exercise "APPLE" If the pronunciation of "APLLE" is correct, there will be evaluation criteria in the standard database for determining whether the pronunciation of "APLLE" is correct, such as changes in mouth shape, voice and audio comparison, etc. Based on this, a preliminary analysis result can be obtained For example, after comparing the mouth shape changes of a student with the mouth shape changes in the standard database, only 50% matches, indicating that the mouth shape may need to be improved to make the pronunciation of "APPLE" more standard. Therefore, According to this analysis result, a learning condition improvement suggestion data is produced, which is presented through the learning condition analysis and improvement unit 83. Here, an application scenario is used as an example: if there is a one-to-one demand, they use an AI learning robot as an intelligent learning device The carrier of 8, which obtains a learning photography data 84 of the student through the photography unit 81, and the learning photography data 84 and the video and audio data 95 containing the student's learning status can be analyzed through the learning status analysis and improvement unit 83 Data 95, and to an analysis result, and based on this analysis result, the learning situation improvement suggestion data is presented through the user interface of the AI learning robot, that is, at this time , The AI learning robot will tell the student "Your viseme is only 50% matching, please practice again." At this time, the department's condition analysis and improvement unit 83 is operating.

In more detail, all the learning condition improvement suggestion data are also stored in the learning condition analysis and improvement unit 83. After analyzing the learning condition video and audio data 95, the preliminary analysis result will be obtained, and then the preliminary analysis will be performed. The results are compared with all the suggested materials for improvement of learning conditions, and finally a best suggestion is given and output. In addition, the learning condition analysis and improvement unit 83 can also analyze the strengths and strengths of the students based on the above analysis indicators. Traits and so on. For example, when a student is always restless and unable to calm down and study, the index values related to body movement will be higher. At this time, it can be judged that the student may have a tendency to hyperactivity; another example is that the student’s brain The wave signal information cannot always fluctuate in accordance with the atmosphere of the course, so it can be inferred that the student is absent-minded. All references for students or parents to better understand the student’s learning status are the goals analyzed by the learning status analysis and improvement unit 83, and suggestions for improvement are provided for the problem. The suggested materials for improving the learning status mainly suggest which methods or teaching aids students can use to help strengthen their own deficiencies. The main implementation methods of the suggested materials for improving the learning status can refer to the following embodiments. In addition, the learning status recording unit 82 and the learning status analysis and improvement unit 83 can be connected to two computer hosts through the cloud server 9 and can be used in one-to-many application scenarios. At this time, the computer host is used to record the learning status. It can be set up in a teaching venue for teachers to check the video and audio data of students' learning 95 at any time. Another computer host is located in the central control center of school institutions, kindergartens, and cram schools, and is connected to the cloud through wired or wireless means. The server 9 is connected to analyze its learning status and perform more in-depth teaching management. As long as it is in an Internet-enabled environment, it can be used anywhere. Therefore, as long as it is through the cloud server 9 and the smart learning device 8 Those who can achieve record learning status and analyze learning status are covered by this manual.

For a kindergarten, a kindergarten teacher has to take care of the conditions of multiple children, and at the same time pay attention to the learning status of each child, which makes the work of the kindergarten not only laborious but also laborious. The above-mentioned students are taken as an example to illustrate this case. The advantages and characteristics. To effectively reduce The burden of kindergarten teachers, while allowing parents to clearly understand their children’s learning conditions, so that parents can trust their children to the kindergarten more at ease. This system sets up smart learning equipment in the kindergarten’s classroom and uses the photography unit 81 and auxiliary photography Unit 3 takes a photo of the teaching site when the teacher is in class to obtain the learning photography data 84, and then uses the learning status record unit 82 to analyze the identity of each child in the learning photography data 84, and then track the learning status of each child, What’s worth mentioning in this part is that the photographing unit 81 and the auxiliary photographing unit 3 may include a plurality of cameras installed at each corner of the teaching site. In this way, the camera can record from different angles and directions through the perspective of each camera. Analyze and observe the learning status of each child. Finally, each child will have his own learning status video and audio data 95, which are stored in each learning history sub-database. The audio-visual data 95 of the learning status can also be selectively (regularly, irregularly, or upon application) sent to the parents of each child based on the consent of the garden or the needs of the parents. Then, the learning condition analysis and improvement unit 83 will analyze each learning condition video and audio data in the learning process sub-database in each preset period, so as to determine the learning condition analysis data of each child and the improvement of the learning condition. Suggested information is stored in the learning history sub-database for kindergartens and teaching institutions to understand each student, parents to understand their children, or students to understand their own learning conditions, and the results of the analysis can also be based on the application Or send messages regularly. In addition, when it is analyzed that there is a gap in the learning situation or the situation of children, such as the learning progress is obviously behind, it is difficult to concentrate in class, etc., you can also make notes in the learning file 92 to allow the school or the teacher to pay more attention to the student. note.

Moreover, it is worth mentioning that the present invention is not limited to one-to-one teaching, or one-to-many class teaching, but can also be applied to an interactive one-to-one live broadcast system, or a teacher’s interaction with multiple classes The present invention can be used by anyone who needs to analyze a student’s learning state, such as an interactive teaching system, or a teacher’s remote interactive teaching system for classes in different locations. In addition to the above-mentioned purposes, the learning photography materials can also be collected in the future to collect various fragments of the teaching video materials to produce learning record videos or learning record photo collections, which are used as memories of students' growth and learning. Basis for the learning process. And, you can also learn The study status analysis data is made into a learning status track for understanding the growth status of each student in the long run. In addition, the learning status recording unit 82 and the learning status analysis and improvement unit 83 can be implemented as follows: using two or more programs in one computer; or they can be divided into two or more different components. Respectively achieve the above functions.

Next, the various embodiments of the present invention will be introduced. First, embodiment 1: In addition to the analysis of learning conditions, the present embodiment further provides analysis of pronunciation accuracy when applied to foreign language teaching to confirm whether the pronunciation of the foreign language is Accurate. For example, when kindergartens use the learning status improvement management system proposed by the present invention to teach children English, or assist children in English learning, they can train standard English pronunciation from an early age to enable children to integrate with the world early and enhance future competition The specific implementation of this embodiment is as follows: the audiovisual data in the learning status recording unit 82 includes a first recording data; the learning status analysis and improvement unit 83 can be used to extract the part of the foreign language pronunciation in the first recording data. According to the pronunciation data, the pronunciation accuracy is judged to obtain a pronunciation accuracy analysis result, and the pronunciation accuracy analysis result is stored in the learning process sub-database 94 through the cloud server 9. Among them, the analysis method of pronunciation accuracy can be based on the pronunciation of foreign teachers and compare and analyze the pronunciation of students, or it can be based on the internal vocabulary pronunciation database as the basis of comparison.

With the aid of this embodiment, the learning status analysis and improvement unit 83 starts to analyze the pronunciation accuracy of each student during the class or after the class is completed. For example, when the foreign teacher finishes "APPLE" in class, the learning The condition analysis and improvement unit 83 will start to judge whether the students are following "APPLE". If so, it will analyze whether the pronunciation of "APPLE" the English teacher said is close to the "APPLE" the student said, and finally save the analysis result In the learning history sub-database 94, foreign teachers can clearly grasp whether each student’s pronunciation is standard according to the analysis result of the pronunciation accuracy. If the pronunciation accuracy analysis is performed synchronously during class, the analysis result can be displayed on the screen or in other ways in real time for foreign teachers to make real-time corrections. In addition, this embodiment is applied to English teaching Learning is only one of the implementation methods, and it can also be applied to the learning of other foreign languages, such as Japanese, Korean, Spanish, etc.

Embodiment 2: Learning status analysis In addition to the pronunciation accuracy described in Embodiment 1, the degree of absorption of students in the learning process can also be understood through the accuracy of answering questions. Similarly, the learning condition analysis and improvement unit 83 can analyze the accuracy of each student's answer during class or after the class. Because the learning condition analysis and improvement unit 83 includes many speech recognition modules, such as the hidden Markov model ( Hidden Markov Model (HMM), Gaussian Mixed Model (GMM), etc., so its speech recognition and analysis can be performed. Furthermore, the analysis method is to extract the part of the question answering and question asking from the learning photography data , And then judge whether the answer is correct or not to obtain an answer accuracy analysis result, and then store the answer accuracy analysis result in the learning process sub-database 94. For example, when a foreign teacher picks up an apple and says: "What is this?", the learning situation analysis improvement unit 83 will determine whether the student has answered: "apple", or when the foreign teacher asks: "How do you go to school?" "The learning condition analysis and improvement unit 83 will determine whether the student answers the words and sentences related to transportation. When the answer to the question can have various answers, the learning condition analysis and improvement unit 83 will determine whether the student’s answer is consistent with the question sentence. In addition, it is worth noting that the photographing unit 81 can capture image data and audio data, and preferably includes a directional microphone. The directional microphone is used to collect the voice of each student, or each student can wear a microphone. Collect sounds separately for use in Example 1 and Example 2.

In addition, in addition to analyzing the accuracy of students’ answering questions, the analysis results of the answering accuracy can be further used to determine what the students are good at and what they are not good at. Therefore, the learning status analysis and improvement unit 83 will analyze the learning process. The answer data of each question in the database 94 is used to analyze the data of the course paragraphs that are good at and those that are not good at. For example, the analysis results will clearly point out that the pronunciation of the third lesson needs to be strengthened, or the words of the first lesson need to be memorized, etc. The same applies to other subjects. For example, when the course is a mathematics class, the learning status analysis and improvement list Yuan 83 can also point out that the calculation process is too careless and other analysis results. Finally, the analysis results of this embodiment are stored in the learning process sub-database 94, and can also be sent to teachers, parents, or students according to their needs. In addition to allowing teachers and parents to better understand the learning status of students, it can also allow students to update Understand yourself to make corresponding strengthening measures.

Embodiment 3: Please continue to refer to FIG. 2. In another embodiment, the learning condition analysis and improvement unit 83 further includes a question bank 85 and an answer bank 85. The question bank 85 can be used by the smart learning device 8 The student asks a question, and when the student answers the question, he will obtain the student's learning photography data 84 through the photography unit 81, and then capture the student's answers to the aforementioned questions and the answers to the question questions in the learning photography data 84 In the latter part, the result of judging whether the student's answer is correct or not is compared with the answer database 86 to obtain an answer accuracy analysis result, and then the answer accuracy analysis result is stored in the learning history sub-database 94. In particular, the smart learning device 8 can use auxiliary teaching aids to ask questions and provide students with answers. For example, you can use e-books to provide questions and ask students, and students can choose from the answer button on the e-book; or, on a screen Questions are displayed on the display, and students can use clickers to answer.

Embodiment 4: Next, the analysis result of another learning status is introduced. The learning status analysis and improvement unit 83 mainly analyzes the learning status video and audio data, and then analyzes the student's eye status (such as the angle of the eyeball or pupil) in the learning status video and audio data to determine whether Focus on the teacher or the screen, or the degree of eye opening and closing to determine whether there is a doze in class), mouth conditions (such as the statistics of the number of mouth opening and closing, or the bite conditions of teeth, lips, and tongue). The standard level of pronunciation, etc.), physical condition (such as whether you will be distracted to do other things, or whether you will tease your classmates in class, or whether you will actively answer questions in class, etc.), to determine the student's degree of concentration and learning Interest level, and store the result in the learning history sub-database 94. Similarly, the analysis results of this embodiment can also be selected according to needs (regularly, irregularly Regularly or upon application) sent to the parents of students to understand the students' usual class status.

Embodiment 5: After introducing the learning status analysis, the system can also cooperate with other teaching aids (such as e-books, reading pens, learning audio-visual CDs, etc.) to reinforce the parts with insufficient learning status. Choose the teaching aids according to the suggestions pointed out in the suggestion materials for the improvement of learning conditions. First, the implementation of the e-book is introduced. The smart learning device 8 is connected to an e-book 5 for remote information. Each student or student who needs this assistive device will be equipped with the e-book 5, and then the learning condition analysis and improvement unit 83 will Select the corresponding course material and the test data corresponding to the course material based on the aforementioned unskilled course data, and send the course material and the test material to the e-book 5. In this way, when students go home, they can use the e-book for reinforcement, and use the test data to understand the results of reinforcement. When the test data is completed, the e-book 5 can directly display the answer data corresponding to the test data, allowing students to self-evaluate and correct. It is also possible to return the test answer data to the learning status recording unit 82 and the learning status analysis improvement unit 83 after the test data is completed, for the learning status record unit 82 to record, and the learning status analysis improvement unit 83 performs The analysis is then stored in the learning history sub-database 94. In addition, the e-book 5 can also be used as an additional supplementary teaching material, and the progress and records of the students' learning using the e-book 5 are sent to the cloud server 9 for storage.

Embodiment 6: The system further includes a point reading pen 6, which is connected to the intelligent learning device 8 and the cloud server 9 for information. If the pronunciation accuracy is lower than the preset value, it means that the student needs to improve the pronunciation accuracy, or when the learning condition improvement suggestion data proposes pronunciation improvement suggestions, you can use a little reading pen 6 to strengthen it at this time. The learning condition analysis and improvement unit 83 will send a pronunciation supplementary practice graphic data to the e-book 5. The pronunciation supplementary practice graphic data can be produced by the learning condition analysis and improvement unit 83 based on the part with insufficient pronunciation accuracy, or it can be It is that the system has already produced all kinds of pronunciation supplementary practice graphics and text resources Then select the corresponding pronunciation supplementary exercise graphic data according to the part with low pronunciation accuracy or according to the learning situation improvement suggestion data, and then send it to the e-book 5, and send the correct pronunciation of the corresponding pronunciation supplementary exercise graphic data The data is sent to the point reading pen 6. In this way, students can use the e-book 5 and the reading pen 6 to improve their pronunciation after class.

In addition, the function of the reading pen 6 is not limited to the above. It can also have a recording unit 61 for recording the students' foreign language pronunciation. After the recording is completed, the students can listen to whether the pronunciation is accurate. The point reading pen 6 can also have the function of evaluating pronunciation accuracy. According to its speech recognition module (existing in the point reading pen 6, for example, the Hidden Markov Model (HMM), Gaussian Mixture Model) Mixed Model; GMM) and other voice recognition modules), can directly determine whether the student’s pronunciation is correct. In addition, the reading pen 6 can also send the recorded content to the learning status recording unit 82 in the form of second recording data, or send the evaluation result of the pronunciation accuracy to the learning status recording unit 82 to For storage in the learning database 91.

Embodiment 7: Following embodiment 5 or 6, in order to prevent students from forgetting or not using teaching aids to improve their deficiencies after returning home, the present invention further provides a reminder function. When a preset date is exceeded and the learning status is When the recording unit 82 has not received the second recording data and the test response data, a reminder unit 7 will send a reminder message to the e-book 5 to remind students to use teaching aids.

In this way, the present invention can effectively understand the learning state of the student by analyzing the learning state of the student, and at the same time, it can also respond to the deficiencies, and combined with various teaching aids, it can effectively improve the deficiencies. Moreover, through the learning history sub-database 94, the progress of students can be understood, and various data in the learning history sub-database 94 can be analyzed and aggregated to create the learning growth trajectory of the students, so as to make the students better. Understand self learning song Line to enhance their interest in learning.

In summary, this case complies with the requirements set by the Patent Law, and a patent application was filed in accordance with the law. The above description only lists the preferred embodiments of the invention, and the scope of rights in this case is still mainly listed in the claims.

9: Cloud server

91: learning library

92: Learning File

93: Identity comparison information

94: Learning History Sub-database

81: Photography Unit

82: Learning Status Recording Unit

83: Learning Status Analysis and Improvement Unit

3: Auxiliary photography unit

5: E-book

6: Point reading pen

61: recording unit

7: Reminder unit

8: Smart learning equipment

Claims (9)

A learning status improvement management system, including: a cloud server is connected with an intelligent learning device information, the cloud server has learning photography data; a learning database: has a learning file, the learning file includes a student's identity comparison Data and a sub-database corresponding to the learning history of one of the students; the smart learning device includes: a photography unit, set on the smart learning device, used to photograph the student’s learning status to obtain a learning photography data; a learning status record unit : The information is connected to the photography unit and the learning database. The learning status record unit will first compare the identity of the student in the learning photography data based on an identity comparison data. When the identity of the student in the learning photography data is compared with the identity When the data matches, the learning status of the student in the learning photography data is captured to obtain a learning status video and audio data, which is stored in the learning process sub-database; a learning status analysis and improvement unit: information is connected to the learning database, The learning status analysis and improvement unit can analyze the audiovisual data of each learning status within a preset period for judging the learning status of the student, and obtain a learning status analysis data, and then obtain a learning according to the learning status analysis data Condition improvement suggestion data, and store the learning condition analysis data and the learning condition improvement suggestion data in the learning process sub-database; wherein the learning condition recording unit includes a first recording data; the learning condition analysis and improvement unit can Used to extract the part of the foreign language pronunciation in the first recording data to obtain a pronunciation data, then judge the pronunciation accuracy according to the pronunciation data, and obtain a pronunciation accuracy analysis result, and then store the pronunciation accuracy analysis result in the learning In the history sub-database. The learning status improvement management system according to claim 1, wherein the learning status analysis improvement unit Contains a question bank and an answer bank, which can be used by the smart learning device to ask questions. After extracting the student's answers to the aforementioned questions in the learning photography materials, compare the answer bank to determine whether the answers are correct and If the result is no, an answer accuracy analysis result is obtained, and then the answer accuracy analysis result is stored in the learning history sub-database. The learning state improvement management system according to claim 1, which includes an image analysis processing unit to analyze the learning photography data. The learning status improvement management system according to claim 3, wherein the learning status analysis and improvement unit can analyze the learning photographic data, and judge the student’s learning concentration level according to the student’s eyes, mouth, and body conditions in the learning photographic data. Learn the degree of interest, and store the analysis result in the learning history sub-database. The learning status improvement management system as described in claim 1, which further includes an e-book connected to the smart learning device and the cloud server information. Such as the learning status improvement management system described in claim 5, wherein the e-book can be used for remote information to link the learning status record unit, the e-book can be used to complete a test data, and after obtaining a test answer data, the e-book The book then displays the answer data corresponding to the test data, and returns the test answer data to the learning status record unit. The learning status improvement management system according to claim 1, which includes a point reading pen, which is connected to the intelligent learning device and the cloud server information. The learning state improvement management system according to claim 7, wherein the remote information of the reading pen is connected to the learning state recording unit; the reading pen includes a recording unit that can record students Pronunciation in the foreign language to obtain a second recording data, and sending the second recording data to the learning status recording unit for the learning status recording unit to store the second recording data in the learning history sub-database. The learning state improvement management system according to claim 1, wherein the smart learning device uses an AI smart learning robot or an AI learning computer as a carrier.

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