Children's education quality analysis method and system based on artificial intelligence

Abstract

The present invention relates to the field of artificial intelligence technology, and in particular to a method and system for analyzing the quality of children's education based on artificial intelligence. The present invention evaluates the quality of education based on the results of the impact analysis of children's basic knowledge points and the learning situation of the corresponding links of children's courses. In the analysis of the impact of basic knowledge points, the scores of the corresponding students' basic knowledge points and the degree of influence of the basic knowledge points are comprehensively considered. The students' learning impact is comprehensively evaluated through formulas, avoiding the limitation of focusing on a single factor. In this way, students' learning situation on each basic knowledge point and the impact of these knowledge points on their overall learning can be understood more accurately. In the evaluation of education quality, the teaching scores of children's courses and the results of the basic knowledge point impact analysis are comprehensively considered. Through the teaching quality analysis formula, the influence coefficient of previous knowledge points on the course is fully considered, making the education quality evaluation more comprehensive and reasonable.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to a children's education quality analysis method and system based on artificial intelligence. Background Art

[0002] Current teaching quality assessments often focus solely on superficial learning within a course, overlooking the inherent connections between foundational knowledge points. For example, in children's mathematics instruction, existing assessment methods may simply examine student performance in sections like shapes and geometry, numbers and algebra, without deeply analyzing the impact of foundational knowledge points like the relationship between shapes and numbers on subsequent learning. This one-sided approach obscures potential problems in the teaching process, making it difficult to pinpoint the root causes of these issues and developing effective improvement measures to enhance teaching quality.

[0003] Furthermore, existing technologies lack a scientific understanding of the impact of foundational knowledge points. The evaluation process fails to fully consider the connection between each component of the course and each foundational knowledge point, nor the weight of each component. For example, in a computer programming course, the crucial impact of foundational knowledge points like data structures on the entire course is unclear, making it difficult to rationally allocate teaching resources. This results in a lack of focus and low teaching efficiency.

[0004] At the same time, the assessment of the impact on student learning is incomplete. Existing assessment methods typically focus solely on students' scores within the course, without comprehensively considering scores on foundational knowledge points and the impact of these points on the course. This makes it difficult to accurately understand students' learning progress on each foundational knowledge point and the impact of these points on their overall learning, making it difficult to develop personalized learning plans and tutoring programs tailored to students' specific circumstances.

[0005] Finally, the existing education quality assessment system is not rational. Previous assessment methods failed to fully consider the impact of previous knowledge points on the curriculum, and were based solely on the course's teaching scores. This resulted in evaluation results that failed to truly reflect teaching effectiveness, making it impossible to provide educational institutions and teachers with targeted improvement suggestions, which was detrimental to improving teaching quality.

[0006] To sum up, the existing teaching quality assessment technology has obvious defects, and a more comprehensive, scientific and reasonable assessment method is urgently needed to solve the above problems in order to improve teaching quality and promote the development of education. Summary of the Invention

[0007] In order to overcome the defects and shortcomings of the existing technology, the present invention provides a children's education quality analysis method and system based on artificial intelligence.

[0008] In order to achieve the above objectives and solve the technical problems in the background technology, the present invention adopts the following technical solutions:

[0009] In a first aspect, the technical solution of the present invention provides a method for analyzing the quality of children's education based on artificial intelligence, comprising the following steps:

[0010] S1. Obtain the children's learning status of basic knowledge points and courses, as well as the connection between each link of the corresponding course and each basic knowledge point;

[0011] S2. Divide the degree of influence of basic knowledge points based on the connection between each link of the corresponding course and each basic knowledge point;

[0012] S3. Conduct an impact analysis of basic knowledge learning based on children’s basic knowledge learning and the division of the degree of impact of basic knowledge points;

[0013] S4. Evaluate the quality of education based on the results of the impact analysis of children’s learning of basic knowledge points and their learning status in the corresponding parts of the curriculum.

[0014] In one implementation of the present invention, the children's basic knowledge point learning situation includes the children's learning situation of each basic knowledge point, wherein the basic knowledge point is each basic knowledge point that constitutes each course, and the course is divided into knowledge points. The children's course learning situation is the test scores of all students in the teaching scenario for the corresponding course. The connection between each link of the corresponding course and each basic knowledge point is the composition of the knowledge points of each link of the corresponding course and the score of the test process, as well as the connection situation data of the basic knowledge points corresponding to the knowledge points of each link. The method for obtaining the connection situation data of the basic knowledge points corresponding to the knowledge points of each link includes the following specific steps:

[0015] The credits of the basic knowledge points of history students and the credits of the corresponding link knowledge points are obtained. Based on the credits of the basic knowledge points of history students and the credits of the corresponding link knowledge points, the connection degree analysis between the corresponding basic knowledge points and the corresponding link knowledge points is performed. The connection degree analysis formula between the corresponding basic knowledge points and the corresponding link knowledge points is: , where n is the number of history students learning the corresponding knowledge point, xi is the credit of the i-th history student learning the corresponding knowledge point, and xiz is the credit of the i-th history student learning the corresponding basic knowledge point. It represents the difference between the mastery of the corresponding link knowledge point and the corresponding basic knowledge point of the i-th history student. The closer the mastery of the corresponding link knowledge point and the corresponding basic knowledge point is, the closer the connection between the two knowledge points is. The similarity between the learning of the link knowledge points and the learning of the basic knowledge points of all students who have learned the corresponding link knowledge points in history is: is the average value of the similarity between the learning of the link knowledge points and the learning of the basic knowledge points of all students who have learned the corresponding link knowledge points in history, while m is the number of all basic knowledge points, and cj is the average value of the similarity between the learning of the j-th basic knowledge point and the learning of the link knowledge points. In this formula, the formula quantifies the degree of connection between the corresponding link knowledge point and the corresponding basic knowledge point, and uses specific values ​​to represent the similarity and average similarity between the two knowledge points. The formula introduces To express the difference between the mastery of the corresponding link knowledge points and the corresponding basic knowledge points of the i-th history student.

[0016] In one implementation of the present invention, the division of the influence degree of the basic knowledge points in step S2 includes the following specific steps:

[0017] S21. Obtain the connection between each link of the corresponding course and each basic knowledge point, and obtain the score of each link;

[0018] S22. Analyze the influence of basic knowledge points based on the connection between each link of the corresponding course and each basic knowledge point, as well as the score of each link. The influence of the cth basic knowledge point on the corresponding course is: , where K is the number of course links, Hyc is the degree of connection between the cth basic knowledge point and the yth link of the corresponding course, and zy is the score of the yth link of the corresponding course. Calculating the influence of basic knowledge points on the course through this formula can clearly reflect the actual role and value of each basic knowledge point in the entire corresponding course.

[0019] In one implementation of the present invention, the basic knowledge point learning impact analysis in step S3 includes the following specific steps:

[0020] S31. Obtain the scores of the basic knowledge points of the corresponding students and the analysis results of the influence of the basic knowledge points;

[0021] S32. Perform a basic knowledge point impact analysis based on the scores of the corresponding students' basic knowledge points and the analysis results of the impact of the basic knowledge points. The basic knowledge point impact analysis formula is: Among them, Hj is the influence of the j-th basic knowledge point on the corresponding course, and Sj is the score ratio of the corresponding j-th basic knowledge point. Taking into account the influence and scores of all basic knowledge points, a comprehensive assessment of the impact on students' learning is conducted.

[0022] In one implementation of the present invention, step S4 performs an evaluation of the education quality based on the results of the children's basic knowledge learning impact analysis and the children's learning status of the corresponding links of the course, including the following specific steps:

[0023] Obtain the teaching scores of children's courses and the results of the impact analysis of basic knowledge points. Analyze the teaching quality based on the teaching scores of children's courses and the results of the impact analysis of basic knowledge points. The teaching quality analysis formula is: , where Fx is the teaching score of the children's course, obtained through the children's post-learning test, is the influence coefficient of previous knowledge points on the course, and the number of knowledge points affected by the acquisition method as the basic knowledge points accounts for the proportion of course knowledge points.

[0024] In a second aspect, the technical solution of the present invention further provides a children's education quality analysis system based on artificial intelligence, which specifically includes the following modules:

[0025] The data collection module is used to obtain children's learning status of basic knowledge points and children's course learning status, as well as the connection between each link of the corresponding course and each basic knowledge point; the impact degree division module divides the impact degree of basic knowledge points based on the connection between each link of the corresponding course and each basic knowledge point; the learning impact analysis module conducts basic knowledge point learning impact analysis based on children's basic knowledge point learning status and the division of basic knowledge point influence degree; the education quality assessment module evaluates the education quality based on the results of children's basic knowledge point learning impact analysis and the learning status of children's corresponding links of the course.

[0026] In a third aspect, the technical solution of the present invention provides an electronic device comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes an artificial intelligence-based children's education quality analysis method by calling the computer program stored in the memory.

[0027] In a fourth aspect, the technical solution of the present invention provides a computer-readable storage medium storing instructions, which, when executed on a computer, enables the computer to execute an artificial intelligence-based children's education quality analysis method.

[0028] The technical solution of the present invention has the following advantages and beneficial effects:

[0029] Based on the connection between each link of the corresponding course and each basic knowledge point, the degree of influence of basic knowledge points is divided. Based on the children's learning of basic knowledge points and the division of the degree of influence of basic knowledge points, the learning impact of basic knowledge points is analyzed. Based on the results of the children's basic knowledge point learning impact analysis and the learning of the corresponding links of the children's courses, the education quality is evaluated. In the basic knowledge point learning impact analysis, the scores of the corresponding students' basic knowledge points and the degree of influence of the basic knowledge points are comprehensively considered. The students' learning impact is comprehensively evaluated through formulas, avoiding the limitation of focusing on a single factor. In this way, we can more accurately understand the students' learning situation on each basic knowledge point and the impact of these knowledge points on their overall learning. In the education quality evaluation, the teaching scores of children's courses and the results of the basic knowledge point impact analysis are comprehensively considered. Through the teaching quality analysis formula, the influence coefficient of previous knowledge points on the course is fully considered, making the education quality evaluation more comprehensive and reasonable. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:

[0031] Figure 1 Schematic diagram of the overall process of an embodiment of the method of the present invention;

[0032] Figure 2 This is a flow chart of S2 in an embodiment of the method of the present invention;

[0033] Figure 3 This is a flow chart of S3 in an embodiment of the method of the present invention;

[0034] Figure 4 A schematic structural diagram of an embodiment of the system of the present invention;

[0035] Figure 5 Schematic diagram of the structure of an electronic device embodiment of the present invention. DETAILED DESCRIPTION

[0036] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0037] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0038] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0039] Example 1

[0040] like Figures 1 to 3 As shown, this embodiment provides a method for analyzing the quality of children's education based on artificial intelligence, which specifically includes the following steps:

[0041] S1. Obtain the children's learning status of basic knowledge points and courses, as well as the connection between each link of the corresponding course and each basic knowledge point;

[0042] In one specific embodiment, the learning situation of children's basic knowledge points includes the learning situation of children's basic knowledge points, wherein the basic knowledge points are the basic knowledge points that constitute each course, and the courses are divided into knowledge points. For example, children's mathematics mainly includes four major areas: numbers and algebra, graphics and geometry, statistics and probability, and synthesis and practice, and the basic knowledge points of numbers and algebra mainly include number relationships, quantity operations, and quantity relationships; and a weak foundation in number relationships directly affects the subsequent learning of graphics and geometry. When conducting teaching quality evaluation, the existing technology only analyzes the subsequent learning of graphics and geometry, and does not remove the impact of the weak foundation in number relationships, resulting in unreasonable teaching evaluation. The learning situation of children's courses is the test scores of all students in the corresponding course in the teaching scenario. The connection between each link of the corresponding course and each basic knowledge point is the composition of the knowledge points of each link of the corresponding course and the score of the test process, as well as the connection data of the basic knowledge points corresponding to the knowledge points of each link. The method for obtaining the connection data of the basic knowledge points corresponding to the knowledge points of each link includes the following specific steps:

[0043] The credits of the basic knowledge points of history students and the credits of the corresponding link knowledge points are obtained. Based on the credits of the basic knowledge points of history students and the credits of the corresponding link knowledge points, the connection degree analysis between the corresponding basic knowledge points and the corresponding link knowledge points is performed. The connection degree analysis formula between the corresponding basic knowledge points and the corresponding link knowledge points is: , where n is the number of history students learning the corresponding knowledge point, xi is the credit of the i-th history student learning the corresponding knowledge point, and xiz is the credit of the i-th history student learning the corresponding basic knowledge point. It represents the difference between the mastery of the corresponding link knowledge point and the corresponding basic knowledge point of the i-th history student. The closer the mastery of the corresponding link knowledge point and the corresponding basic knowledge point is, the closer the connection between the two knowledge points is. The similarity between the learning of the link knowledge points and the learning of the basic knowledge points of all students who have learned the corresponding link knowledge points in history is: is the average value of the similarity between the learning of the link knowledge points and the learning of the basic knowledge points of all students who have learned the corresponding link knowledge points in history, while m is the number of all basic knowledge points, and cj is the average value of the similarity between the learning of the j-th basic knowledge point and the learning of the link knowledge points. In this formula, the formula quantifies the degree of connection between the corresponding link knowledge point and the corresponding basic knowledge point, and uses specific numerical values ​​to represent the similarity and average similarity between the two knowledge points. This quantitative method makes the connection between knowledge points more intuitive and clear, and is convenient for comparison and analysis. The formula introduces To express the difference between the mastery of the corresponding link knowledge point and the corresponding basic knowledge point of the i-th history student. This consideration of the degree of difference makes the analysis more accurate and can more sensitively reflect the correlation between the two knowledge points;

[0044] S2. Divide the degree of influence of basic knowledge points based on the connection between each link of the corresponding course and each basic knowledge point;

[0045] In one specific embodiment, the division of the influence degree of the basic knowledge points in step S2 includes the following specific steps:

[0046] S21. Obtain the connection between each link of the corresponding course and each basic knowledge point, and obtain the score of each link;

[0047] S22. Analyze the influence of basic knowledge points based on the connection between each link of the corresponding course and each basic knowledge point, as well as the score of each link. The influence of the cth basic knowledge point on the corresponding course is: , where K is the number of course links, Hyc is the degree of connection between the cth basic knowledge point and the yth link of the corresponding course, and zy is the score of the yth link of the corresponding course. Calculating the influence of basic knowledge points on the course through this formula can clearly reflect the actual role and value of each basic knowledge point in the entire corresponding course. For example, in a computer programming course, if the basic knowledge point of data structure has a high degree of connection with multiple important programming links (such as algorithm implementation, program optimization, etc.), and these links account for a large proportion of the score, then it can be clearly seen that the basic knowledge point of data structure has an important impact on the programming course;

[0048] S3. Conduct an impact analysis of basic knowledge learning based on children’s basic knowledge learning and the division of the degree of impact of basic knowledge points;

[0049] In one specific embodiment, the basic knowledge point learning impact analysis in step S3 includes the following specific steps:

[0050] S31. Obtain the scores of the basic knowledge points of the corresponding students and the analysis results of the influence of the basic knowledge points;

[0051] S32. Perform a basic knowledge point impact analysis based on the scores of the corresponding students' basic knowledge points and the analysis results of the impact of the basic knowledge points. The basic knowledge point impact analysis formula is: , where Hj is the influence of the j-th basic knowledge point on the corresponding course, and Sj is the score ratio of the corresponding j-th basic knowledge point. Taking into account the influence and scores of all basic knowledge points, a comprehensive assessment of the students' learning impact is conducted;

[0052] S4. Evaluate the quality of education based on the results of the impact analysis of children's basic knowledge learning and their learning status in the corresponding parts of the curriculum;

[0053] In one specific embodiment, step S4 evaluates the education quality based on the results of the impact analysis of the children's basic knowledge points and the children's learning status of the corresponding links of the course, including the following specific steps:

[0054] Obtain the teaching scores of children's courses and the results of the impact analysis of basic knowledge points. Analyze the teaching quality based on the teaching scores of children's courses and the results of the impact analysis of basic knowledge points. The teaching quality analysis formula is: , where Fx is the teaching score of the children's course, obtained through the children's post-learning test, is the influence coefficient of previous knowledge points on the course, and the acquisition method is the ratio of the number of knowledge points affected by basic knowledge points to the course knowledge points. The following steps may also be included: the obtained teaching quality is compared with the set teaching quality qualification value. If the teaching quality is greater than or equal to the set teaching quality qualification value, it means that the teacher's teaching of the knowledge point is qualified and does not need to be explained again. If the teaching quality is less than the set teaching quality qualification value, it means that the teacher's teaching of the knowledge point is unqualified and needs to be explained again.

[0055] It should be noted that in this embodiment, the present embodiment has the following advantages: based on the connection between each link of the corresponding course and each basic knowledge point, the influence degree of the basic knowledge point is divided; based on the children's basic knowledge point learning situation and the division of the influence degree of the basic knowledge point, the basic knowledge point learning impact analysis is performed; based on the children's basic knowledge point learning impact analysis results and the learning situation of the corresponding links of the children's course, the education quality is evaluated; in the basic knowledge point learning impact analysis, the corresponding students' basic knowledge point scores and the basic knowledge point influence degree are comprehensively considered, and the students' learning impact is comprehensively evaluated through the formula, avoiding the limitation of focusing on only a single factor. In this way, the students' learning situation on each basic knowledge point and the impact of these knowledge points on their overall learning can be more accurately understood; in the education quality evaluation, the teaching scores of the children's course and the basic knowledge point influence analysis results are comprehensively considered; through the teaching quality analysis formula, the influence coefficient of the previous knowledge points on the course is fully considered, making the education quality evaluation more comprehensive and reasonable.

[0056] Example 2

[0057] like Figure 4 As shown, this embodiment provides an artificial intelligence-based children's education quality analysis system, which specifically includes the following modules: a data acquisition module for obtaining children's basic knowledge point learning situation and children's course learning situation, as well as the connection between each link of the corresponding course and each basic knowledge point; an influence degree division module for dividing the influence degree of basic knowledge points based on the connection between each link of the corresponding course and each basic knowledge point; a learning impact analysis module for conducting basic knowledge point learning impact analysis based on children's basic knowledge point learning situation and the division of the influence degree of basic knowledge points; an education quality evaluation module for evaluating the education quality based on the results of the children's basic knowledge point learning impact analysis and the learning situation of the corresponding link of the children's course; and a control module for controlling the operation of other modules through various control components. For the above-mentioned parameters and steps of each unit module in the artificial intelligence-based children's education quality analysis system of the present invention to realize the corresponding functions and the corresponding effects, please refer to the parameters and steps in the embodiment of the artificial intelligence-based children's education quality analysis method above, which will not be repeated here.

[0058] Example 3

[0059] like Figure 5 As shown, an electronic device according to an embodiment of the present invention includes: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes an artificial intelligence-based children's education quality analysis method by calling the computer program stored in the memory. It should be noted that all computer programs of the artificial intelligence-based children's education quality analysis method are implemented in C language.

[0060] Example 4

[0061] This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0062] When the computer program runs on a computer device, the computer device executes the above-mentioned artificial intelligence-based children's education quality analysis method.

[0063] The various embodiments of the present invention are described in a progressive manner. Similar portions between the various embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences between the other embodiments. In particular, the IoT device and medium embodiments are generally similar to the method embodiments, so their description is relatively simple. For relevant portions, refer to the description of the method embodiments.

[0064] The system and medium provided in the embodiments of the present invention correspond one-to-one to the method. Therefore, the system and medium also have similar beneficial technical effects to their corresponding methods. Since the beneficial technical effects of the method have been described in detail above, the beneficial technical effects of the system and medium will not be repeated here.

[0065] Those skilled in the art will appreciate that embodiments of the present invention may provide methods, systems, or computer program products. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROMs, optical storage, etc.) containing computer-usable program code.

[0066] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0067] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0068] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0069] Memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0070] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0071] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0072] The above are merely embodiments of the present invention and are not intended to limit the present invention. It will be apparent to those skilled in the art that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention are intended to be included within the scope of the claims of the present invention.

Claims

1. The method for analyzing the quality of children's education based on artificial intelligence is characterized by: The steps include: S1. Obtaining the learning status of children's basic knowledge points and children's course learning status, as well as the connection between each link of the corresponding course and each basic knowledge point; wherein the basic knowledge point is each basic knowledge point that constitutes each course, and the course is divided into knowledge points. The learning status of the children's course is the test scores of all students in the teaching scenario for the corresponding course. The connection between each link of the corresponding course and each basic knowledge point is the composition of the knowledge points in each link of the corresponding course and the score of the test process, as well as the connection data of the basic knowledge points corresponding to the knowledge points in each link; including the following specific steps: The credits of the basic knowledge points of history students and the credits of the corresponding link knowledge points are obtained. Based on the credits of the basic knowledge points of history students and the credits of the corresponding link knowledge points, the connection degree analysis between the corresponding basic knowledge points and the corresponding link knowledge points is performed. The connection degree analysis formula between the corresponding basic knowledge points and the corresponding link knowledge points is: , where n is the number of history students who have learned the corresponding link knowledge point, xi is the credit of the i-th history student who has learned the corresponding link knowledge point, xiz is the credit of the i-th history student who has learned the corresponding basic knowledge point, m is the number of all basic knowledge points, and cj is the average value of the similarity between the learning of the j-th basic knowledge point and the learning of the link knowledge point; S2. Divide the degree of influence of basic knowledge points based on the connection between each link of the corresponding course and each basic knowledge point; including the following specific steps: S21. Obtain the connection between each link of the corresponding course and each basic knowledge point, and obtain the score of each link; S22. Analyze the influence of basic knowledge points based on the connection between each link of the corresponding course and each basic knowledge point, as well as the score of each link. The influence of the cth basic knowledge point on the corresponding course is: , where K is the number of course links, Hyc is the degree of connection between the cth basic knowledge point and the yth link of the corresponding course, and zy is the score of the yth link of the corresponding course; S3. Conduct a basic knowledge point learning impact analysis based on children's basic knowledge point learning status and the division of the degree of influence of basic knowledge points. This includes the following specific steps: S31. Obtain the scores of the basic knowledge points of the corresponding students and the analysis results of the influence of the basic knowledge points; S32. Perform a basic knowledge point impact analysis based on the scores of the corresponding students' basic knowledge points and the analysis results of the impact of the basic knowledge points. The basic knowledge point impact analysis formula is: , where Hj is the influence of the j-th basic knowledge point on the corresponding course, and Sj is the score proportion of the corresponding j-th basic knowledge point; S4. Evaluate the quality of education based on the results of the impact analysis of children's basic knowledge points and their learning progress in the corresponding parts of the curriculum; this includes the following specific steps: Obtain the teaching scores of children's courses and the results of the impact analysis of basic knowledge points. Analyze the teaching quality based on the teaching scores of children's courses and the results of the impact analysis of basic knowledge points. The teaching quality analysis formula is: , where Fx is the teaching score of children's courses, is the influence coefficient of previous knowledge points on the course.

2. An artificial intelligence-based children's education quality analysis system, which is implemented based on the artificial intelligence-based children's education quality analysis method according to claim 1, characterized in that: The system comprises: The data collection module is used to obtain children's learning status of basic knowledge points and children's course learning status, as well as the connection between each link of the corresponding course and each basic knowledge point; the impact degree division module divides the impact degree of basic knowledge points based on the connection between each link of the corresponding course and each basic knowledge point; the learning impact analysis module conducts basic knowledge point learning impact analysis based on children's basic knowledge point learning status and the division of basic knowledge point influence degree; the education quality assessment module evaluates the education quality based on the results of children's basic knowledge point learning impact analysis and the learning status of children's corresponding links of the course.

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