AI auxiliary teaching method, platform, equipment and medium

Abstract

The invention provides an AI auxiliary teaching method, platform, equipment and medium, and relates to the technical field of teaching platforms. The method comprises the following steps: acquiring a teaching video obtained by recording a teaching scene of a teacher in a course explanation period; determining related knowledge points in the teaching video based on an AI model, and segmenting the teaching video into a plurality of sub-videos corresponding to the related knowledge points; generating a comprehensive test question group based on the related knowledge points; based on the comprehensive test question group, initiating a comprehensive test in the in-class test time period, and obtaining answer data; evaluating the answer data by adopting an AI model, determining to-be-consolidated knowledge points based on an evaluation result, and generating a targeted test question group based on the to-be-consolidated knowledge points; and playing back the sub-video corresponding to the knowledge point to be consolidated, initiating a targeted test based on the targeted test question group, and evaluating the answer data by adopting an AI model. According to the invention, knowledge weak points of students can be found in class in time, and consolidation teaching can be carried out on the weak points in time.

Description

Technical Field

[0001] The present invention relates to the technical field of teaching platforms, and in particular to an AI-assisted teaching method, platform, equipment and medium. Background Art

[0002] Traditional classroom education generally lasts 45 minutes per class, with the teacher mainly lecturing and students listening attentively. Traditional test scores are usually announced days or even weeks later. It is difficult for teachers to identify student problems and adjust their teaching in time, and students are unable to correct mistakes immediately after they occur, which leads to the solidification of incorrect cognition and poor teaching results. Summary of the invention

[0003] The present invention provides an AI-assisted teaching method, platform, device and medium to solve the defect that students and teachers in the existing teaching methods cannot discover knowledge weaknesses in time, and to achieve timely discovery of knowledge weaknesses and timely teaching adjustment and consolidation of knowledge weaknesses.

[0004] The present invention provides an AI-assisted teaching method, comprising the following steps.

[0005] Obtain the teaching video recorded during the course explanation period; each teaching time is divided into a course explanation period and an in-class test period; Determine the knowledge points involved in the teaching video based on the AI model, and divide the teaching video into a plurality of sub-videos corresponding to the knowledge points involved; generate a comprehensive test question set based on the knowledge points involved; the comprehensive test question set includes test questions corresponding to the knowledge points involved; Based on the comprehensive test question set, initiate a comprehensive test during the in-class test period and obtain the answer data; An AI model is used to evaluate the answer data, and the knowledge points to be consolidated are determined based on the evaluation results, and a targeted test question set is generated based on the knowledge points to be consolidated; the targeted test question set includes test questions corresponding to the knowledge points to be consolidated; Replay the sub-videos corresponding to the knowledge points to be consolidated, initiate targeted tests based on targeted test questions, and use AI models to evaluate the answer data.

[0006] The present invention also provides an AI-assisted teaching method, which is applied to a management end in an AI-assisted teaching platform, wherein the AI-assisted teaching platform includes a video recording system, a user end, and the management end, wherein the management end is respectively connected to the video recording system and the user end in communication; the user end includes a student end; The AI-assisted teaching method includes: Obtain the teacher's teaching video recorded by the video recording system during the course explanation period; each teaching time is divided into a course explanation period and an in-class test period; Determine the knowledge points involved in the teaching video based on the AI model, split the teaching video into multiple sub-videos corresponding to each involved knowledge point, generate a comprehensive test question set based on the involved knowledge points, and send the comprehensive test question set to the student terminal; the comprehensive test question set includes the test questions corresponding to each involved knowledge point; the student terminal is used to initiate a comprehensive test during the in-class test period based on the comprehensive test question set, and send the answer data obtained in the comprehensive test to the management terminal for evaluation; Use the AI model to evaluate the answer data, determine the knowledge points to be consolidated based on the evaluation results; generate a targeted test question set based on the knowledge points to be consolidated; and send the sub-video corresponding to the knowledge points to be consolidated and the targeted test question set to the student terminal; the student terminal is used to play back the sub-video corresponding to the knowledge points to be consolidated, initiate a targeted test based on the targeted test question set, and send the answer data obtained in the targeted test to the management terminal for evaluation.

[0007] According to the AI-assisted teaching method provided by the present invention, the AI-assisted teaching method further includes: Evaluate the learning situation of students according to the evaluation results of the answer data.

[0008] According to the AI-assisted teaching method provided by the present invention, the AI-assisted teaching platform further includes: a web terminal; The AI-assisted teaching method further includes: Send the evaluation results of the answer data and the learning situation of students to the web terminal.

[0009] According to the AI-assisted teaching method provided by the present invention, the user terminal further includes a teacher terminal; The AI-assisted teaching method further includes: According to the evaluation results of the answer data of each student terminal, statistically analyze the mastery of each involved knowledge point; Send the mastery of each involved knowledge point to the teacher terminal.

[0010] The present invention also provides an AI-assisted teaching method, which is applied to the student terminal in the user terminal of the AI-assisted teaching platform. The AI-assisted teaching platform includes a video recording system, a user terminal, and a management terminal. The management terminal is respectively communicatively connected to the video recording system and the user terminal; the user terminal includes a student terminal; The AI-assisted teaching method includes: Based on a comprehensive test question set, initiate a comprehensive test during the in-class test period, and send the answer data obtained in the comprehensive test to the management end for evaluation; the comprehensive test question set is generated by the management end based on the knowledge points involved in the teaching video and sent to the student end. The teaching video is recorded by the video recording system at the teacher's teaching site during the course explanation period. Each teaching time is divided into a course explanation period and an in-class test period; Play back the sub-video corresponding to the knowledge points to be consolidated, initiate a targeted test based on the targeted test question set, and send the answer data obtained in the targeted test to the management end for evaluation; the knowledge points to be consolidated are obtained by the management end using an AI model to evaluate the answer data. The targeted test question set includes the test questions corresponding to the knowledge points to be consolidated. The sub-video corresponding to the knowledge points to be consolidated and the targeted test question set are sent by the management end to the student end. The sub-video is obtained by the management end splitting the teaching video based on the knowledge points.

[0011] The present invention also provides an AI-assisted teaching platform, including: a video recording system, a user end, and a management end. The management end is respectively communicatively connected to the video recording system and the user end. The user end includes a student end; The video recording system is used to record the teacher's teaching site during the course explanation period to obtain a teaching video; each teaching time is divided into a course explanation period and an in-class test period; The management end is used to determine the knowledge points involved in the teaching video based on an AI model, split the teaching video into multiple sub-videos corresponding to each knowledge point, generate a comprehensive test question set based on the involved knowledge points, and send the comprehensive test question set to the student end. Use the AI model to evaluate the answer data, determine the knowledge points to be consolidated based on the evaluation results, and send the sub-video corresponding to the knowledge points to be consolidated and the targeted test question set to the student end; the comprehensive test question set includes the test questions corresponding to each involved knowledge point, and the targeted test question set includes the test questions corresponding to the knowledge points to be consolidated; The student end is used to initiate a comprehensive test based on the comprehensive test question set during the in-class test period, and send the answer data obtained in the comprehensive test to the management end for evaluation, play back the sub-video corresponding to the knowledge points to be consolidated, initiate a targeted test based on the targeted test question set, and send the answer data obtained in the targeted test to the management end for evaluation.

[0012] According to the AI-assisted teaching platform provided by the present invention, the AI-assisted teaching platform further includes: a web end and a teacher end; The web end is used to display the evaluation results of the answer data and the learning situation of the students; the learning situation of the students is determined according to the evaluation results of the answer data; The teacher terminal is used to display the mastery of each knowledge point; the mastery of each knowledge point is obtained based on the statistical analysis of the evaluation results of the answer data corresponding to each student terminal.

[0013] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the AI-assisted teaching method described above is implemented.

[0014] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-described AI-assisted teaching methods.

[0015] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements any of the above-mentioned AI-assisted teaching methods.

[0016] The AI-assisted teaching method, platform, device and medium provided by the present invention divide the classroom teaching time into a course explanation period and a class test period, and record the teacher's teaching scene during the course explanation period, determine the knowledge points involved in the teaching video based on the AI model, divide the teaching video into multiple sub-videos according to the knowledge points, generate a comprehensive test question group containing corresponding test questions based on the knowledge points involved, and evaluate the students' answer data to the comprehensive test question group, determine the knowledge points to be consolidated based on the evaluation results, and send the sub-videos corresponding to the knowledge points to be consolidated and the targeted test question group to the student end for answering. The present invention can promptly discover students' knowledge weaknesses in class, and promptly consolidate and teach students' weaknesses, thereby improving the teaching effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 This is one of the flow charts of the AI-assisted teaching method provided in an embodiment of the present invention.

[0019] Figure 2 It is a structural diagram of the AI-assisted teaching platform provided in an embodiment of the present invention.

[0020] Figure 3 This is the second flow chart of the AI-assisted teaching method provided in an embodiment of the present invention.

[0021] Figure 4 This is the third flow chart of the AI-assisted teaching method provided in an embodiment of the present invention.

[0022] Figure 5 It is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] Figure 1 One of the flow charts of the AI-assisted teaching method provided in an embodiment of the present invention is exemplarily shown. As shown in FIG1 , the method includes the following steps 101 to 105 .

[0025] Step 101: Obtain a teaching video recorded during a course explanation period. Each teaching period is divided into a course explanation period and an in-class test period.

[0026] Step 102: determine the knowledge points involved in the teaching video based on the AI model, divide the teaching video into multiple sub-videos corresponding to the knowledge points involved, and generate a comprehensive test question set based on the knowledge points involved; the comprehensive test question set includes test questions corresponding to the knowledge points involved.

[0027] Step 103: Based on the comprehensive test question set, initiate a comprehensive test during the in-class test period and obtain answer data.

[0028] Step 104: Use the AI model to evaluate the answer data, determine the knowledge points to be consolidated based on the evaluation results, and generate a targeted test question set based on the knowledge points to be consolidated; the targeted test question set includes test questions corresponding to the knowledge points to be consolidated.

[0029] Step 105: replay the sub-video corresponding to the knowledge point to be consolidated, initiate a targeted test based on the targeted test question set, and use the AI model to evaluate the answer data.

[0030] The embodiment of the present invention divides each traditional teaching time into two parts, the first part is the course explanation period, and the second part is the class test period. During the course explanation period, while the course is being explained in the classroom, a video is recorded, and the AI model understands and analyzes the teaching video, determines the knowledge points involved in the teaching video, and divides the teaching video into multiple sub-videos corresponding to the knowledge points involved. Then, a test containing all the relevant test questions involving the knowledge points is initiated, and based on the students' answers, the knowledge points to be consolidated are determined, the sub-videos corresponding to the knowledge points to be consolidated are played back, and a test containing relevant test questions of the knowledge points to be consolidated is initiated. It is possible to instantly understand the students' mastery of the teaching content in the classroom, and timely adjust and consolidate the students' learning based on the mastery, thereby ensuring the teaching effect of the classroom.

[0031] It should be noted that the content of the teaching video recording can be the teacher’s lecture audio and the display screen of the blackboard / multimedia display screen. The AI model can adopt the existing AI large model. The AI model is based on the audio in the teaching video and the content on the blackboard / multimedia display screen. It performs context understanding and analysis, extracts the knowledge points involved in the teaching video, and segments the teaching video based on different knowledge points.

[0032] In an example embodiment, generating a comprehensive test question set based on the involved knowledge points in step 102 may be implemented in the following manner.

[0033] According to the knowledge points involved, relevant test questions are randomly selected from the question bank to form a comprehensive test question set. Among them, the question bank is pre-set for all knowledge points. For example, the sixth-grade physics class involves a total of 80 knowledge points. For each knowledge point, 10-20 test questions are pre-set. The test questions of all knowledge points are stored in the question bank. If the teaching video involves three of the knowledge points, then a number of questions related to these three knowledge points in the question bank are randomly selected. Specifically, there are 15 questions related to each of the three knowledge points, so 5 questions are randomly selected from each of the related questions to form a comprehensive test question set.

[0034] In an exemplary embodiment, generating a targeted test question group based on the knowledge points to be consolidated in step 104 is similar to generating a comprehensive test question group in the previous embodiment. For example, based on a student's answer data, it can be determined which test questions the student got wrong, and then the knowledge points that the student has not mastered can be determined, that is, the knowledge points to be consolidated described in this article. When generating a targeted test question group, several test questions are randomly selected from the test questions in the question bank related to the knowledge points to be consolidated. For example, in a comprehensive test of a certain student, there are incorrect answers in the test questions related to knowledge point A, then knowledge point A is the knowledge point to be consolidated for this student. If there are 15 test questions related to knowledge point A in the question bank, then 5 test questions can be randomly selected, for example, to form a targeted test question group. These 5 test questions can overlap with the test questions in the comprehensive test question group, or it can be stipulated that they cannot overlap with the test questions in the comprehensive test question group. The present invention does not limit this.

[0035] In an exemplary embodiment, a test evaluation of the student is given for the answer data, and the test evaluation can be comprehensively given based on the student's answer data in the comprehensive test and the targeted test. Specifically, if a certain student answers all the test questions correctly in the comprehensive test, the rating is A; if some are not answered correctly, but all are answered correctly in the targeted test, the rating is B; if not all are answered correctly in the targeted test, the rating is C. Of course, based on the student's answer data in the comprehensive test and the targeted test, other criteria can also be used for the student's test rating. The present invention does not limit this.

[0036] It should be noted that in the embodiment of the present invention, the correction of the answer data is also completed by the AI model. The test questions include subjective questions and objective questions, and the AI model needs to be pre-trained according to the answers before application.

[0037] In an exemplary embodiment, there can be multiple rounds of targeted tests. For example, for a certain student, if the student does not answer all the test questions correctly in the comprehensive test, then a targeted test will be conducted on this student. However, if the student still does not answer all the test questions correctly in the targeted test, then a second round of targeted test can be initiated until the student can answer all the test questions in the targeted test correctly. Of course, it can also be set how many rounds of targeted tests can be conducted at most. In the last round of targeted test, whether the student answers all the test questions correctly or not, no next round of targeted test will be conducted. Correspondingly, the student's test rating can be determined according to the number of targeted tests the student has experienced.

[0038] The present invention also provides an AI-assisted teaching platform. The AI-assisted teaching method in the above embodiments is applied to this AI-assisted teaching platform. See Figure 2The AI-assisted teaching platform includes a video recording system 21, a user terminal 23 and a management terminal 22, wherein the management terminal 22 is respectively communicated with the video recording system 21 and the user terminal 23, and the user terminal 23 includes a student terminal 231, a teacher terminal 232 and a web terminal 233.

[0039] The video recording system 21 may include a camera installed in the classroom. The specific installation location can be selected according to the actual situation, as long as the display screen of the blackboard or the multimedia display screen can be collected. The video recorded by the video recording system 21 needs to include pictures and audio.

[0040] See also Figure 3 , the management end 22 can execute the following steps 301 to 303.

[0041] Step 301: Obtain the teacher's teaching video recorded on-site by the video recording system during the course explanation period; each teaching time is divided into a course explanation period and an in-class test period.

[0042] Step 302: determine the knowledge points involved in the teaching video based on the AI model, divide the teaching video into multiple sub-videos corresponding to the knowledge points involved, generate a comprehensive test question set based on the knowledge points involved, and send the comprehensive test question set to the student end; the comprehensive test question set includes test questions corresponding to each knowledge point involved; the student end is used to initiate a comprehensive test during the in-class test period based on the comprehensive test question set, and send the answer data obtained in the comprehensive test to the management end for evaluation.

[0043] Step 303: Use the AI model to evaluate the answer data, determine the knowledge points to be consolidated based on the evaluation results; generate a targeted test question set based on the knowledge points to be consolidated; and send the sub-video corresponding to the knowledge points to be consolidated and the targeted test question set to the student end; the targeted test question set includes the test questions corresponding to the knowledge points to be consolidated, the student end is used to play back the sub-video corresponding to the knowledge points to be consolidated, initiate a targeted test based on the targeted test question set, and send the answer data obtained in the targeted test to the management end for evaluation.

[0044] It should be noted that the evaluation of the answer data described in the embodiment of the present invention refers to correcting the answer data. This embodiment uses an AI model for correction, which can generate correction results quickly and in real time.

[0045] In an example embodiment, the management end will evaluate the learning situation of the student end based on the answer data submitted by the student end. Specifically, as described in the above embodiment, the student's learning situation will be graded A, B, or C. The management end will send the evaluation results and corrections to the answer data to the student end and the web page end, so that the students themselves can understand their own learning situation in this class, and parents who log in to the web page end can understand their children's learning situation.

[0046] In an exemplary embodiment, the management terminal statistically summarizes the marking results of the answer data submitted by all learning terminals in this class, generates a "learning situation portrait" based on the big data of wrong questions, that is, statistically displays the number, proportion of wrong questions for each knowledge point, the answering situation of each student, etc., and sends it to the teacher terminal to facilitate the teacher to understand the teaching effect of this class and the direction that needs to be adjusted. For example, for a certain knowledge point, 50% of the students in the class made mistakes in the test. Based on this data, the teacher can adjust his teaching, for example, increase the teaching time for this knowledge point during teaching, etc.

[0047] See Figure 4 , the student terminal 231 can perform the following steps: Step 401: Initiate a comprehensive test during the in-class test period based on the comprehensive test question set, and send the answer data obtained in the comprehensive test to the management terminal for evaluation; the comprehensive test question set is generated by the management terminal based on the knowledge points involved in the teaching video and sent to the student terminal. The teaching video is recorded by the video recording system at the teacher's teaching site during the course explanation period. Each teaching time is divided into a course explanation period and an in-class test period.

[0048] Step 402: Play back the sub-video corresponding to the knowledge point to be consolidated, initiate a targeted test based on the targeted test question set, and send the answer data obtained in the targeted test to the management terminal for evaluation; the knowledge point to be consolidated is obtained by the management terminal using an AI model to evaluate the answer data. The targeted test question set includes the test questions corresponding to the knowledge point to be consolidated. The sub-video corresponding to the knowledge point to be consolidated and the targeted test question set are sent to the student terminal by the management terminal. The sub-video is obtained by the management terminal splitting the teaching video based on the knowledge points.

[0049] The web terminal displays the evaluation results of the answer data and the learning situation of the students; the learning situation of the students is determined according to the evaluation results of the answer data. Among them, the evaluation result of the answer data refers to the marking result of the answer data, and the learning situation of the students refers to the student rating. Parents can view it by logging in to the web terminal APP or mini-program.

[0050] The teacher terminal displays the mastery situation of each knowledge point, and the mastery situation of each knowledge point is statistically analyzed based on the evaluation results of the answer data corresponding to each student terminal. The teacher can adjust the teaching and pay targeted attention to the students according to the mastery situation of each knowledge point and the learning situation of each student.

[0051] The student terminal in the embodiments of the present invention can be a small program or an APP installed in an intelligent tablet. At the same time, an AI-assisted base station cabin can be set for the intelligent tablet to provide a stable communication network for it. The intelligent tablet supports charging in the base station cabin. The base station cabin can be placed in the upper left corner of the desk, and the intelligent tablet is charged with low-voltage electricity.

[0052] It should be noted that in the embodiments of the present invention, the student terminal, the teacher terminal, and the web terminal can all implement the functions or steps described in the embodiments through a small program or an APP.

[0053] The AI-assisted teaching method and platform provided by the embodiments of the present invention can timely discover the weak knowledge points of students, automatically locate the knowledge loopholes through wrong-question analysis, and achieve accurate learning situation diagnosis; and can timely consolidate the teaching of the weak points of students, overcome the deficiencies of traditional teaching methods, and improve the teaching effect. AI-assisted homework correction can save more than 50% of the teacher's time and enhance the teacher's efficiency; through the instant evaluation in daily classes, parents can pay attention to the learning effect of students at school and can also provide a basis for process evaluation in talent selection.

[0054] Figure 5 An example of the physical structure diagram of an electronic device is shown as Figure 5 shown. The electronic device may include: a processor 510, a communication interface 520, a memory 530, and a communication bus 540. Among them, the processor 510, the communication interface 520, and the memory 530 complete mutual communication through the communication bus 540. The processor 510 can call the logical instructions in the memory 530 to execute the AI-assisted teaching method, and the method includes: obtaining a teaching video obtained by recording the teacher's teaching scene during the course explanation period; each teaching time is divided into a course explanation period and an in-class test period; determining the knowledge points involved in the teaching video based on an AI model, and splitting the teaching video into multiple sub-videos corresponding to each involved knowledge point; generating a comprehensive test question set based on the involved knowledge points; the comprehensive test question set includes the test questions corresponding to each involved knowledge point; based on the comprehensive test question set, initiating a comprehensive test during the in-class test period and obtaining the answering data; using the AI model to evaluate the answering data, determining the knowledge points to be consolidated based on the evaluation result, and generating a targeted test question set based on the knowledge points to be consolidated; the targeted test question set includes the test questions corresponding to the knowledge points to be consolidated; playing back the sub-videos corresponding to the knowledge points to be consolidated, initiating a targeted test based on the targeted test question set, and using the AI model to evaluate the answering data.

[0055] Or the AI-assisted teaching method includes: obtaining a teacher's lecture video recorded on-site by a video recording system during a course explanation period; each teaching time is divided into a course explanation period and an in-class test period; based on an AI model, determining the knowledge points involved in the lecture video, dividing the lecture video into a plurality of sub-videos corresponding to each knowledge point involved, generating a comprehensive test question set based on the knowledge points involved, and sending the comprehensive test question set to the student end; the comprehensive test question set includes test questions corresponding to each knowledge point involved; using an AI model to evaluate the answer data, determining the knowledge points to be consolidated based on the evaluation results, and sending the sub-videos corresponding to the knowledge points to be consolidated and the targeted test question set to the student end; the targeted test question set includes test questions corresponding to the knowledge points to be consolidated.

[0056] Or the AI-assisted teaching method includes: based on a comprehensive test question set, initiating a comprehensive test during the in-class test period, and sending the answer data obtained in the comprehensive test to the management end for evaluation; the comprehensive test question set is generated by the management end based on the knowledge points involved in the teaching video and sent to the student end, the teaching video is recorded by the video recording system at the teacher's teaching site during the course explanation period, and each teaching time is divided into a course explanation period and an in-class test period; playing back the sub-video corresponding to the knowledge point to be consolidated, initiating a targeted test based on a targeted test question set, and sending the answer data obtained in the targeted test to the management end for evaluation; the knowledge point to be consolidated is obtained by the management end by evaluating the answer data using an AI model, the targeted test question set includes test questions corresponding to the knowledge point to be consolidated, the sub-video corresponding to the knowledge point to be consolidated and the targeted test question set are sent by the management end to the student end, and the sub-video is obtained by the management end by segmenting the teaching video based on the knowledge point.

[0057] In addition, the logic instructions in the above-mentioned memory 530 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0058] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the AI-assisted teaching method provided by the above methods, which method includes: obtaining a teaching video recorded from a teacher's teaching site during a course explanation period; each teaching time is divided into a course explanation period and an in-class test period; based on an AI model, determining the knowledge points involved in the teaching video, and dividing the teaching video into a plurality of sub-videos corresponding to each of the involved knowledge points; generating a comprehensive test question set based on the involved knowledge points; the comprehensive test question set includes test questions corresponding to each of the involved knowledge points; based on the comprehensive test question set, initiating a comprehensive test during the in-class test period, and obtaining answer data; using an AI model to evaluate the answer data, determining the knowledge points to be consolidated based on the evaluation results, and generating a targeted test question set based on the knowledge points to be consolidated; the targeted test question set includes test questions corresponding to the knowledge points to be consolidated; replaying the sub-videos corresponding to the knowledge points to be consolidated, initiating a targeted test based on the targeted test question set, and using an AI model to evaluate the answer data.

[0059] Or the AI-assisted teaching method includes: obtaining a teacher's lecture video recorded on-site by a video recording system during a course explanation period; each teaching time is divided into a course explanation period and an in-class test period; based on an AI model, determining the knowledge points involved in the lecture video, dividing the lecture video into a plurality of sub-videos corresponding to each knowledge point involved, generating a comprehensive test question set based on the knowledge points involved, and sending the comprehensive test question set to the student end; the comprehensive test question set includes test questions corresponding to each knowledge point involved; using an AI model to evaluate the answer data, determining the knowledge points to be consolidated based on the evaluation results, and sending the sub-videos corresponding to the knowledge points to be consolidated and the targeted test question set to the student end; the targeted test question set includes test questions corresponding to the knowledge points to be consolidated.

[0060] Or the AI-assisted teaching method includes: initiating a comprehensive test during the in-class test period based on a comprehensive test question set, and sending the response data obtained in the comprehensive test to the management end for evaluation; the comprehensive test question set is generated by the management end based on the knowledge points involved in the teaching video and sent to the student end, the teaching video is recorded by the video recording system at the teaching explanation period for the teacher's teaching scene, and each teaching time is divided into a teaching explanation period and an in-class test period; playing back the sub-video corresponding to the knowledge points to be consolidated, initiating a targeted test based on the targeted test question set, and sending the response data obtained in the targeted test to the management end for evaluation; the knowledge points to be consolidated are obtained by the management end using an AI model to evaluate the response data, the targeted test question set includes the questions corresponding to the knowledge points to be consolidated, and the sub-video corresponding to the knowledge points to be consolidated and the targeted test question set are sent by the management end to the student end, and the sub-video is obtained by the management end splitting the teaching video based on the knowledge points.

[0061] In another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is implemented to execute the AI-assisted teaching method provided by the above various methods. The AI-assisted teaching method includes: obtaining a teaching video recorded at the teaching explanation period for the teacher's teaching scene; each teaching time is divided into a teaching explanation period and an in-class test period; determining the knowledge points involved in the teaching video based on an AI model, and splitting the teaching video into multiple sub-videos corresponding to each involved knowledge point; generating a comprehensive test question set based on the involved knowledge points; the comprehensive test question set includes the questions corresponding to each involved knowledge point; initiating a comprehensive test during the in-class test period based on the comprehensive test question set, and obtaining response data; using an AI model to evaluate the response data, determining the knowledge points to be consolidated based on the evaluation result, and generating a targeted test question set based on the knowledge points to be consolidated; the targeted test question set includes the questions corresponding to the knowledge points to be consolidated; playing back the sub-video corresponding to the knowledge points to be consolidated, initiating a targeted test based on the targeted test question set, and using an AI model to evaluate the response data.

[0062] Or the AI-assisted teaching method includes: obtaining the teacher's teaching video recorded on-site by the video recording system during the course explanation period; each teaching time is divided into a course explanation period and a in-class test period; determining the knowledge points involved in the teaching video based on the AI model, splitting the teaching video into multiple sub-videos corresponding to each involved knowledge point, generating a comprehensive test question set based on the involved knowledge points, and sending the comprehensive test question set to the student terminal; the comprehensive test question set includes the test questions corresponding to each involved knowledge point; using the AI model to evaluate the answering data, determining the knowledge points to be consolidated based on the evaluation results, and sending the sub-videos corresponding to the knowledge points to be consolidated and the targeted test question set to the student terminal; the targeted test question set includes the test questions corresponding to the knowledge points to be consolidated.

[0063] Or the AI-assisted teaching method includes: based on the comprehensive test question set, initiating a comprehensive test during the in-class test period and sending the answering data obtained in the comprehensive test to the management terminal for evaluation; the comprehensive test question set is generated by the management terminal based on the knowledge points involved in the teaching video and sent to the student terminal, the teaching video is recorded by the video recording system on-site during the course explanation period of the teacher's teaching, and each teaching time is divided into a course explanation period and an in-class test period; playing back the sub-videos corresponding to the knowledge points to be consolidated, initiating a targeted test based on the targeted test question set, and sending the answering data obtained in the targeted test to the management terminal for evaluation; the knowledge points to be consolidated are obtained by the management terminal using the AI model to evaluate the answering data, the targeted test question set includes the test questions corresponding to the knowledge points to be consolidated, the sub-videos corresponding to the knowledge points to be consolidated and the targeted test question set are sent to the student terminal by the management terminal, and the sub-videos are split from the teaching video by the management terminal based on the knowledge points.

[0064] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0065] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution, in essence, or the part that contributes to the prior art can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0066] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An AI-assisted teaching method, characterized in that, include: Obtain the lecture video recorded during the course explanation period; Each class is divided into a course explanation period and an in-class test period. Determine the knowledge points involved in the teaching video based on the AI model, and divide the teaching video into a plurality of sub-videos corresponding to the knowledge points involved; generate a comprehensive test question set based on the knowledge points involved; the comprehensive test question set includes test questions corresponding to the knowledge points involved; Based on the comprehensive test question set, initiate a comprehensive test during the in-class test period and obtain the answer data; An AI model is used to evaluate the answer data, and the knowledge points to be consolidated are determined based on the evaluation results, and a targeted test question set is generated based on the knowledge points to be consolidated; the targeted test question set includes test questions corresponding to the knowledge points to be consolidated; Replay the sub-videos corresponding to the knowledge points to be consolidated, initiate targeted tests based on targeted test questions, and use AI models to evaluate the answer data.

2. An AI-assisted teaching method, characterized in that, A management terminal applied to an AI-assisted teaching platform, wherein the AI-assisted teaching platform includes a video recording system, a user terminal and the management terminal, and the management terminal is respectively connected to the video recording system and the user terminal for communication; The user end includes a student end; The AI-assisted teaching method includes: Obtain the teacher's teaching video recorded by the video recording system during the course explanation period; each teaching time is divided into a course explanation period and an in-class test period; Determine the knowledge points involved in the teaching video based on the AI model, and divide the teaching video into multiple sub-videos corresponding to the knowledge points involved; generate a comprehensive test question set based on the knowledge points involved, and send the comprehensive test question set to the student terminal; the comprehensive test question set includes test questions corresponding to the knowledge points involved; the student terminal is used to initiate a comprehensive test during the in-class test period based on the comprehensive test question set, and send the answer data obtained in the comprehensive test to the management terminal for evaluation; An AI model is used to evaluate the answer data, and the knowledge points to be consolidated are determined based on the evaluation results; a targeted test question set is generated based on the knowledge points to be consolidated; and the sub-video corresponding to the knowledge points to be consolidated and the targeted test question set are sent to the student terminal; the student terminal is used to play back the sub-video corresponding to the knowledge point to be consolidated, initiate a targeted test based on the targeted test question set, and send the answer data obtained in the targeted test to the management terminal for evaluation.

3. The AI-assisted teaching method according to claim 2, characterized in that The AI-assisted teaching method also includes: The students' learning situation is evaluated based on the evaluation results of the answer data.

4. The AI-assisted teaching method according to claim 3, wherein The AI-assisted teaching platform also includes: a web page; The AI-assisted teaching method also includes: The evaluation results of the answer data and the students' learning status are sent to the web page.

5. The AI-assisted teaching method according to claim 2, wherein The user end also includes a teacher end; The AI-assisted teaching method also includes: According to the evaluation results of each student's answer data, statistical analysis is performed on the mastery of each knowledge point involved; The mastery status of each knowledge point involved is sent to the teacher end.

6. An AI-assisted teaching method, characterized in that, Applied to the student side in the user side of the AI-assisted teaching platform. The AI-assisted teaching platform includes a video recording system, a user side, and a management side. The management side is communicatively connected to the video recording system and the user side respectively; The user side includes a student side; The AI-assisted teaching method includes: Based on a comprehensive test question set, initiate a comprehensive test during the in-class test period and send the answer data obtained in the comprehensive test to the management side for evaluation; the comprehensive test question set is generated by the management side based on the knowledge points involved in the teaching video and sent to the student side. The teaching video is recorded by the video recording system at the teacher's teaching site during the course explanation period. Each teaching time is divided into a course explanation period and an in-class test period; Play back the sub-video corresponding to the knowledge points to be consolidated, initiate a targeted test based on the targeted test question set, and send the answer data obtained in the targeted test to the management side for evaluation; the knowledge points to be consolidated are obtained by the management side using an AI model to evaluate the answer data. The targeted test question set includes the test questions corresponding to the knowledge points to be consolidated. The sub-video corresponding to the knowledge points to be consolidated and the targeted test question set are sent to the student side by the management side. The sub-video is obtained by the management side splitting the teaching video based on the knowledge points.

7. An AI-assisted teaching platform, characterized in that, Including: A video recording system, a user side, and a management side. The management side is communicatively connected to the video recording system and the user side respectively. The user side includes a student side; The video recording system is used to record the teacher's teaching site during the course explanation period to obtain a teaching video; each teaching time is divided into a course explanation period and an in-class test period; The management side is used to determine the knowledge points involved in the teaching video based on an AI model, split the teaching video into multiple sub-videos corresponding to each knowledge point; generate a comprehensive test question set based on the involved knowledge points and send the comprehensive test question set to the student side; Use an AI model to evaluate the answer data, determine the knowledge points to be consolidated based on the evaluation results; and send the sub-video corresponding to the knowledge points to be consolidated and the targeted test question set to the student side; the comprehensive test question set includes the test questions corresponding to each involved knowledge point, and the targeted test question set includes the test questions corresponding to the knowledge points to be consolidated; The student side is used to initiate a comprehensive test based on the comprehensive test question set during the in-class test period and send the answer data obtained in the comprehensive test to the management side for evaluation, play back the sub-video corresponding to the knowledge points to be consolidated, initiate a targeted test based on the targeted test question set, and send the answer data obtained in the targeted test to the management side for evaluation.

8. The AI-assisted teaching platform according to claim 7, characterized in that, The AI-assisted teaching platform further includes: a web side and a teacher side; The web side is used to display the evaluation results of the answer data and the learning situation of the students; the learning situation of the students is determined according to the evaluation results of the answer data; The teacher side is used to display the mastery situation of each knowledge point; the mastery situation of each knowledge point is obtained by statistically analyzing the evaluation results of the answer data corresponding to each student side.

9. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and running on the processor, characterized in that, When the processor executes the program, it implements the AI-assisted teaching method according to any one of claims 1-6.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the AI-assisted teaching method according to any one of claims 1-6.

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