TWI846659B - AI intelligent generation education teaching system and operation method - Google Patents

Abstract

An AI intelligent generation education and teaching system includes a backend server, a user-end device and an administrator-end device; wherein the backend server stores an AI teacher professional teaching model, a teaching material database, a 3D database, an AI test question database model, a student learning record database, a learning process big data analysis and a student lesson preparation database; the user-end device is an electronic display device, which is connected to the backend server to display the backend server related data; the administrator-end device is an electronic display device, which is connected to the backend server to display the student learning record database and the learning process big data analysis; thereby, a teaching system and operation method that can improve student learning effectiveness and shorten the urban-rural gap are provided.

Description

AI intelligent generation education teaching system and operation method

This invention is an AI intelligent generation education teaching system and operation method, in particular, a teaching system and operation method that can improve students' learning outcomes and narrow the gap between urban and rural areas.

At present, most courses such as school classes, cram schools, advanced courses, and skills courses are conducted in person, or recorded and videotaped as online courses. Regardless of whether it is a physical class or video, it is mostly one-way teaching and the teaching materials are unified. Teachers cannot accurately know the learning process and status of each student. As the course continues, teachers cannot provide real-time guidance to students who lag behind or have poor learning results, which leads to unsuccessful subsequent teaching and students cannot fully learn the subject. This needs to be improved.

In particular, such physical teaching or video playback methods mostly use paper teaching materials. Both teachers and students need to carry heavy paper books and teaching materials, which are easy to affect development and inconvenient to carry. Moreover, since these teaching materials are monotonous and boring, and there is a certain gap in the teaching ability and teaching resources between urban and rural teachers, the learning effect and intention of students in different regions and different classes are different. There will also be a gap between the willingness and the resources obtained, resulting in unfair final learning outcomes (such as exams and tests). In addition, this teaching method does not allow parents (or supervisors, program managers) to quickly obtain students' learning results, nor can it be handled immediately (such as changing the difficulty of the course, replacing teaching materials, adding supplementary teaching materials, etc.), which in turn affects the overall learning of students and needs to be improved.

In addition, in the above-mentioned physical teaching or video playback methods, most students only receive the teaching content during the class, and will not preview or review before class. When the difficulty of the course gradually increases, it is easy for students to not be able to quickly understand the content in class, and they will not be able to integrate and remember the content after class. In the long run, students' learning results cannot be effectively improved, and the content they do not understand gradually increases, resulting in a gradual decrease in their willingness to learn or even giving up learning, which in turn affects subsequent learning and test evaluation.

The purpose of this invention is to improve the above-mentioned deficiencies and provide a teaching system and operation method that can improve students' learning outcomes and narrow the urban-rural gap.

To achieve the above-mentioned purpose, the AI intelligent generation education teaching system of the present invention includes a background server, a user terminal device and an administrator terminal device; wherein: the background server stores an AI teacher professional teaching model, a teaching material database, a 3D database, an AI test question bank model, a student learning record database, a learning process big data analysis and a student lesson preparation database; the AI teacher professional teaching model is an AI teacher model that uses machine learning to train the teaching texts, 3D animation data, test question bank and historical question bank of each subject teacher; the teaching material database, 3D database and AI test question bank model are used to store different Teaching materials, 3D image animation materials and test question database materials of the same subject; the student learning record database is used to store the learning data of the students' feedback during the learning period; the learning process big data analysis is used to analyze the students' learning data; the student lesson preparation database is used to provide students with lesson preparation and record relevant data; the user terminal device is an electronic display device, which can be a tablet, computer, mobile phone, AR (or VR, MR) equipment, used to connect to the background server to display the AI teacher of the background server Professional teaching large model, teaching material database, 3D database and AI test question database large model, so as to provide students with viewing learning , and the students' voice data can be input into the background server; the administrator end device is an electronic display device, which can be a tablet, a computer, or a mobile phone, and is used to connect to the background server to provide students' learning record database and learning process big data analysis for administrators to view, and the administrator's voice and text data can be input into the background server; and the present invention can implement the operation method of the AI intelligent generation education system, including a teaching mode and a lesson preparation mode; as for the teaching mode of the present invention, it includes the following steps: students use the user end device to learn and watch, and according to the current teaching course, the background server uses the AI teacher professional teaching big model 11 to connect After the teaching material database, 3D database and student learning record database are combined, an AI teacher S00 is generated and starts teaching. The AI teacher professional teaching model starts to teach synchronously with voice and text S01 or directly executes 3D animation S02 according to the teaching content. Then, when the voice and text synchronous teaching S01 is completed, the AI teacher professional teaching model can choose to execute active questions for students to answer S03 or execute 3D animation S02 or trigger 3D interactive learning objects S04 and then automatically change the 3D animation S05 to play; when the AI teacher professional teaching model executes the active questioning for students to answer S03, if the student does not answer S06, the AI teacher professional teaching model will automatically change the 3D animation S05. The model determines the teaching progress and content according to the situation S07, and then the AI teacher executes the integration of the teaching results and records them in the student learning record database of the background server S08; and when the student answers a question S09, the AI teacher can automatically change the 3D animation S10, or execute the AI teacher to ask whether it is necessary to deepen or expand learning S11. If it is not necessary to deepen learning, the AI teacher professional teaching model determines the teaching progress and content according to the situation S07, and then the AI teacher executes the integration of the teaching results and records them in the student learning record database of the background server S08; if it is necessary to deepen learning, the AI teacher provides relevant learning materials for teaching S1 2, to enhance the learning content of students, and then the AI teacher executes the integration of the teaching results and records them in the student learning record database of the background server S08; the AI teacher can also provide relevant learning data teaching S12, the AI teacher can search the 3D database according to the learning data, and then play the searched related video S13, then the AI teacher executes the integration of the teaching results and records them in the student learning record database of the background server S08; the AI teacher can also list the above-mentioned learning data for deepening learning as text data S14, and then the AI teacher executes the change of 3D animation S15 and executes the integration of the teaching results and records them in the background server The student learning record database of the background server S08 completes the current teaching; the operation method of the AI intelligent generation education system of the present invention, in terms of the lesson preparation mode, includes the following steps: the student logs in to the background server one day before the expected course, and establishes the lesson preparation data according to the pre-learning guided by the AI teacher S20. After the student is taught by the AI teacher, the student records the learning results as teaching materials S21, and stores these teaching materials in the teaching materials database of the background server for backup S22; then, the student lesson preparation database of the background server generates an AI virtual student S23 and an AI virtual teaching assistant S24, and the student teaches the teaching materials to the AI virtual student and the role in the form of oral teaching S25. The AI virtual student takes the initiative to ask questions about the teaching materials S26, which can be answered by the role-playing student at this time. The AI virtual student also learns at the same time S27, and the student continues to teach by oral teaching S25 until the end of the course; when the role-playing student decides to finish learning S28, the background server provides test questions for the AI virtual student to take the test S29, and uploads the test scores of the AI virtual student to the background server, and publishes the score ranking, completing the operation of student preparation and teaching; thereby, a teaching system and operation method that can improve student learning effectiveness and narrow the urban-rural gap is provided.

10:Backend server

11: Professional teaching model

12: Teaching Materials Database

13:3D database

14: AI test question bank large model

15: Student learning record database

16: Big data analysis of learning process

17: Student lesson preparation database

20: User-end device

30:Administrator terminal device

[Figure 1] is a system diagram of the present invention.

[Figure 2] is the training flow chart of the AI teacher of the present invention.

[Figure 3] is the teaching flow chart of the AI teacher of the present invention.

[Figure 4] is the operation flow chart of the AI virtual student of the present invention.

The technical means and structures used by the present invention to achieve the purpose are described in detail as follows in conjunction with the embodiments shown in Figures 1 to 4:

As shown in FIG1 , the AI intelligent generation education and teaching system of the present invention includes a background server 10, a user terminal device 20 and an administrator terminal device 30; wherein:

The backend server 10 (please also refer to FIG. 2 ) stores an AI teacher professional teaching model 11, a teaching material database 12, a 3D database 13, an AI test question database model 14, a student learning record database 15, a learning process big data analysis 16, and a student lesson preparation database 17. The AI teacher professional teaching model 11 is a training process of the teaching copy, 3D animation data, test question bank, and historical question bank of each subject teacher using machine learning. AI teacher model; the teaching material database 12, 3D database 13 and AI test question database model 14 are used to store teaching material, 3D image animation material and test question database material of different subjects respectively; the student learning record database 15 is used to store the learning data of the students' feedback during the learning period; the learning process big data analysis 16 is used to analyze the students' learning data; the student lesson preparation database 17 is used to provide students with lesson preparation and record relevant data.

The user terminal device 20 (see FIG. 1 ) is an electronic display device, which can be a tablet, computer, mobile phone, AR (or VR, MR) equipment, and is used to connect to the background server 10 to display the AI teacher professional teaching model 11, teaching material database 12, 3D database 13 and AI test question database model 14 of the background server 10 to provide students with learning, and can input students' voice data into the background server 10.

The administrator terminal device 30 (see FIG. 1 ) is an electronic display device, which can be a tablet, a computer, or a mobile phone, and is used to connect to the background server 10 to display the student learning record database 15 and the learning process big data analysis 16 for the administrator to view, and the administrator's voice and text data can be input into the background server 10.

As mentioned above, the process diagram shown in FIG2 is the training process of the AI teacher professional teaching big model 11; it is to ask a plurality of professional subject teachers to prepare teaching documents, and then process these teaching documents into a data big database, and then use AI to voice the teaching text in the above teaching documents and make it into a voice database, and use machine training and deep learning (such as: OPEN AI or META) to form a teaching AI voice teacher model; at the same time, ask a plurality of professional subject teachers to prepare a test question bank and a historical question bank, and process the test questions into a test question data big database, and then use AI to voice the question bank and make it into a voice database, and use machine training and deep learning (such as: OPEN AI or META) to form a teaching AI voice teacher model. AI or META) into an AI question bank teacher model; in addition, prepare multiple 3D scenarios or object animations, process the content into a database, and then merge the teaching AI voice teacher model with the AI question bank teacher model, and combine it with the 3D scenario or object animation database to form an AI teacher.

By using the above-mentioned device, the present invention can perform AI intelligent generation education and teaching. The operation method of the present invention includes a teaching mode and a lesson preparation mode. As shown in Figures 1 and 3, the teaching mode of the present invention includes the following steps:

Students use the user terminal device 20 to learn and watch. According to the current teaching course, the background server 10 uses the AI teacher professional teaching model 11 to connect the teaching material database 12, the 3D database 13 and the student learning record database 15, and then generates an AI teacher S00 and starts teaching. The AI teacher professional teaching model 11 starts to teach synchronously with voice and text S01 or directly executes 3D animation S02 according to the teaching content. Then, when the voice and text synchronous teaching S01 is completed, the AI teacher professional teaching model 11 can choose to execute active questions for students to answer S0 3 or execute 3D animation S02 or trigger 3D interactive learning objects S04 and then automatically change 3D animation S05 to play; when the AI teacher professional teaching model 11 executes the active question for students to answer S03, if the student does not answer S06, the AI teacher professional teaching model 11 determines the teaching progress and content according to the situation S07, and then the AI teacher executes the integration of this teaching results and records them in the student learning record database 15 of the background server 10 S08; and when the student answers the question S09, the AI teacher can execute automatic change 3D animation S10, or The AI teacher asks whether it is necessary to deepen or expand learning S11. If it is not necessary to deepen learning, the AI teacher professional teaching model 11 determines the teaching progress and content according to the situation S07, and then the AI teacher integrates the teaching results and records them in the student learning record database 15 of the background server 10 S08; if it is necessary to deepen learning hours, the AI teacher provides relevant learning data teaching S12 to enhance the students' learning content, and then the AI teacher integrates the teaching results and records them in the student learning record database 15 of the background server 10 S08; the AI teacher After providing relevant learning data teaching S12, the AI teacher can search the 3D database 13 according to the learning data, and then play the searched related video S13. Subsequently, the AI teacher executes the integration of the teaching results and records them in the student learning record database 15 of the background server 10 S08; the AI teacher can also list the above-mentioned learning data for deepening learning as text data S14, and then the AI teacher executes the change of 3D animation S15 and executes the integration of the teaching results and records them in the student learning record database 15 of the background server 10 S08 to complete this teaching.

Parents, teachers, or supervisors can use the administrator terminal device 30 to connect with the student learning record database 15 and learning process big data analysis 16 of the background server 10 to provide real-time understanding of the student's learning status.

By using the above method, AI teacher, i.e., teaching materials and 3D animation stored in the background server 10, is used to teach students. Students can use the user terminal device 20 to execute the teaching content of AI teacher in real time. As the course progresses, AI teacher will record the students' learning records in real time and store them in the background server 10. Parents, teachers, supervisors, etc. of students can use the administrator terminal device 30 to access the background server 10 in real time. Parents, teachers, supervisors, etc. of students can use the administrator terminal device 30 and the student learning record database 15 and learning process big data analysis 16 of the background server 10 to understand the students' learning status in real time.

In addition, the AI teacher will store the teaching progress based on the learning records, and can also analyze the students' interaction level and learning willingness through AI. The AI test question bank model 14 provides test questions for students to take the test, and judges the learning results of each student based on the test results, and improves the AI teacher or the AI test question bank model 14 through these big data. Then, after understanding the students' learning records, parents, teachers, supervisors, etc. can provide feedback information data. The learning process big data data analysis 16 judges the degree of mutual understanding among the three parties based on the students' learning record data and feedback data, and provides a communication coordination and suggestion platform appropriately.

As shown in FIG1 , the background server 10 of the present invention is provided with a student lesson preparation database 17 . As shown in FIG4 , it is the lesson preparation mode of the present invention, which includes the following steps:

The student logs into the backend server 10 one day before the scheduled course, and creates lesson preparation data according to the AI teacher's guidance S20. After being taught by the AI teacher, the student records the learning results as teaching materials S21, and stores the teaching materials in the teaching material database 12 of the backend server 10 for backup S22; then, the student lesson preparation database 17 of the backend server 10 generates an AI virtual student S23 and an AI virtual teaching assistant S24, and the student teaches the teaching materials to the AI virtual student and the role-playing student in the form of oral teaching S25, and The AI virtual teaching assistant assists the students in teaching. The AI virtual student actively asks questions about the teaching materials S26, which can be answered by the role-playing student. The AI virtual student also learns at the same time S27. The student continues to teach verbally S25 until the end of the course. When the role-playing student decides to finish learning S28, the background server 10 provides test questions for the AI virtual student to take the test S29, and uploads the test scores of the AI virtual student to the background server 10, and publishes the score ranking, completing the operation of student preparation and teaching.

Through the above method, since students must teach AI virtual students to learn and understand the content of the current course, and provide students with a lesson preparation database 17 for learning and recording, students must prepare for the course content; at the same time, since the AI virtual student will be tested and ranked according to the content taught by different students, as an evaluation of the effectiveness of student lesson preparation, students must prepare lessons and teach AI virtual students, which can improve students' willingness to actively learn, and when taught by AI teachers, students can truly absorb and understand the course content, improving overall learning effectiveness.

Therefore, from the above description, it can be seen that the present invention has the following advantages:

(I) Since the present invention stores the teaching materials of each course in the background server 10 and establishes the AI teacher professional teaching model 11, there are different AI teachers according to different professional courses; then, students can use the user terminal device 20 to connect to the background server 10 to receive teaching and lessons from the AI teacher, supplemented by 3D animation videos, so the teaching content is lively and interesting, and interactive, and students do not need to carry paper teaching materials, reducing the weight and burden of students' school bags (or bags).

(ii) As the course progresses, the AI teacher can record students' learning records and course progress in real time, providing analytical data for subsequent review and course changes. In the next course, the AI teacher can adjust the course difficulty based on each student's different learning records, achieving the result of teaching students in accordance with their aptitude and narrowing the gap between urban and rural teachers and the problem of different teacher qualities.

(III) At the same time, the administrator can use the administrator terminal device 30 to connect to the background server 10 to obtain the students' learning records and status so as to intervene or provide guidance at any time to enhance the students' learning confidence and learning effectiveness.

(IV) In addition, by using the present invention to teach AI virtual students to learn, students can prepare for the class and improve their learning effect. By using the question bank test method, students' learning results can be effectively judged, and the course progress or difficulty can be adjusted accordingly to improve the overall learning effect.

(V) Furthermore, since the teaching system of the present invention provides students with a user terminal device 20 to connect to the background server 10, and then the AI teacher in the background server 10 gives lectures, the real teacher in the real classroom only serves as an assistant and observer to assist students in learning using the user terminal device 20 and observe the students' use and class situation. In addition, the real teacher can directly use the administrator terminal device 30 to enter the background server 10 to observe the learning status and progress of each student during class, and the AI teacher can also Immediately feedback students' learning status or alerts to let real teachers know, and real teachers can immediately provide timely guidance to individual students. The teaching system of the present invention can completely replace the existing teaching method of real teachers. Real teachers only help students to enter the course suitable for their own learning level; therefore, the real teacher in the teaching system of the present invention only acts as an assistant and observer, and the teaching system of the present invention can also reduce the difficulty of teaching and the pressure of course progress of real teachers. The present invention is highly progressive and practical.

Therefore, this invention is indeed highly progressive and practical, and its structure and method are indeed unprecedented, which truly meets the requirements for invention patents. Therefore, we have filed a patent application in accordance with the law and pray for the grant of the patent. I am very grateful.

However, the above is only a feasible embodiment of the present invention. The embodiment is mainly used to illustrate the technical means and structure used by the present invention to achieve the purpose. Therefore, it cannot be used to limit the protection scope of the present invention. Any equivalent changes or modifications made according to the description of the present invention and the scope of the patent application should still fall within the protection scope covered by the present invention.

10:Backend server

11: Professional teaching model

12: Teaching Materials Database

13:3D database

14: AI test question bank large model

15: Student learning record database

16: Big data analysis of learning process

17: Student lesson preparation database

20: User-end device

30:Administrator terminal device

Claims (2)

An AI intelligent generation education teaching system operation method is applied to a teaching system having a background server, a user terminal device and an administrator terminal device. The method includes a teaching mode and a lesson preparation mode. As for the teaching mode, it includes the following steps: students use the user terminal device to learn and watch, and according to the current teaching course, the background server

After the AI teacher professional teaching model is used to link the teaching material database, 3D database and student learning record database, an AI teacher is generated (S00) and starts teaching. The AI teacher professional teaching model starts teaching with voice and text synchronously (S01) or directly executes 3D animation (S02) according to the teaching content. Then, when the voice and text synchronous teaching (S01) is completed, the AI teacher professional teaching model can choose to execute active questions for students to answer (S03) or execute 3D animation (S04). D animation (S02) or triggering a 3D interactive learning object (S04) and then automatically changing the 3D animation (S05) to play; when the AI teacher professional teaching model executes the step of actively asking students to answer (S03), if the students do not answer (S06), the AI teacher professional teaching model determines the teaching progress and content according to the situation (S07), and then the AI teacher executes the integration of the teaching results and records them in the student learning record database of the background server (S08 ); When students answer questions (S09), the AI teacher can automatically change the 3D animation (S10), or ask whether the student needs to deepen or expand learning (S11). If the student does not need to deepen learning, the AI teacher's professional teaching model will determine the teaching progress and content according to the situation (S07). Then the AI teacher will integrate the teaching results and record them in the student learning record database of the background server (S08). If the student needs to deepen learning, the AI teacher will automatically change the 3D animation (S10), or ask the student whether the student needs to deepen or expand learning (S11). If the student does not need to deepen learning, the AI teacher's professional teaching model will determine the teaching progress and content according to the situation (S07). Then the AI teacher will integrate the teaching results and record them in the student learning record database of the background server (S08). The teacher provides relevant learning materials for teaching (S12) to enhance the students' learning content, and then the AI teacher integrates the teaching results and records them in the student learning record database of the background server (S08); after providing relevant learning materials for teaching (S12), the AI teacher can search the 3D database based on the learning materials, and then play the searched related videos (S13), and then the AI teacher integrates the teaching results and records them in the background server. The AI teacher can also list the learning data for deepening learning as text data (S14), and then the AI teacher will change the 3D animation (S15) and integrate the teaching results and record them in the student learning record database of the background server (S08) to complete the teaching. The AI teacher will store the teaching progress according to the learning record, and can also analyze the students' degree of interaction and learning willingness through AI, and provide test questions for students to test. Tests are conducted, and the learning outcomes of each student are judged based on the test results. The AI teacher or question bank model is improved through the big data of these data. Then, the administrator can use the administrator terminal device to connect with the student learning record database and learning process big data analysis of the background server to understand the student's learning record. In terms of the lesson preparation mode, the following steps are included: the student logs in to the background server one day before the expected course, and establishes lesson preparation data based on the pre-learning guided by the AI teacher (S20 ), after being taught by the AI teacher, the student records the learning results as teaching materials (S21), and stores the teaching materials in the teaching material database of the background server for backup (S22); then, the student lesson preparation database of the background server generates an AI virtual student and an AI virtual teaching assistant, and the student teaches the teaching materials to the AI virtual student and the role-playing student in a verbal teaching manner (S23), and the AI virtual teaching assistant assists the student in teaching. The AI virtual student The user can actively ask questions (S24), which can be answered by the role-playing student. The AI virtual student also learns at the same time (S25). The student continues to teach verbally (S23) until the end of the course. When the role-playing student decides that the learning is complete (S26), the background server provides test questions for the AI virtual student to take the test (S27). The test scores of the AI virtual student are uploaded to the background server, and the score ranking is announced, completing the operation of student preparation and teaching. A training method for an AI teacher professional teaching big model (11) is applied to a teaching system having a background server, a user terminal device and an administrator terminal device; the method comprises the following steps: asking a plurality of teachers of various professional subjects to prepare teaching documents, and then processing the teaching documents into a data big database, and then using AI to voice the teaching text in the teaching documents and prepare a voice database, and using machine training and deep learning to form a teaching AI voice teacher model; at the same time, Please ask multiple professional subjects Teachers create test question banks and historical question banks, process the test questions into a large database of test question data, and then use AI to voice the question bank and make it into a voice database, and use machine training and deep learning to form an AI question bank teacher model; in addition, prepare multiple 3D scenarios or objects and other animations, process the content into a database, and then merge the teaching AI voice teacher model with the AI question bank teacher model, and combine it with 3D scenarios or objects and other animation databases to form an AI teacher.

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