A structured teaching goal disassembly method and system

Abstract

The application discloses a structured teaching target disassembling method and system, and relates to the field of structured teaching improvement.The method comprises the following steps: obtaining teaching content, performing semantic analysis on the teaching content to obtain attribute segments and logical relations, constructing a knowledge graph according to the attribute segments and the logical relations, defining the types of standard teaching targets according to action semantics to generate an initial teaching framework, obtaining past teaching data, analyzing the past teaching data to obtain past teaching targets, past teaching methods and past teaching achievements, and establishing a mapping relationship among the past teaching targets, the past teaching methods and the past teaching achievements, supplementing the past teaching methods and the past teaching achievements to the strategy layer of corresponding teaching targets in the initial teaching framework according to the past teaching targets, obtaining current teaching targets and student personalities, and disassembling the teaching targets according to the initial teaching framework to obtain a structured teaching scheme.The application forms a new teaching mode with systematicness and scientificalness.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of structured teaching improvement, and particularly relates to a structured teaching target disassembly method and system. BACKGROUND

[0002] Currently, some technical attempts for teaching target disassembly have appeared in the market, mainly focusing on analyzing teaching texts using natural language processing technology and rule engines. Some systems can identify key verbs and nouns in teaching targets, extract basic teaching elements such as knowledge points and skill requirements, and preliminarily organize them according to certain hierarchical structures. However, these existing technologies still face many challenges.

[0003] Simple rule engines are difficult to adapt to diversified teaching scenarios and personalized teaching needs, and cannot fully consider the learning characteristics of different students and the teaching styles of teachers. Existing technologies mostly process teaching targets in isolation, and fail to effectively integrate teaching resources, teaching activities and evaluation systems, leading to a disconnection between teaching targets and actual teaching processes.

[0004] In order to solve these problems, a structured teaching target disassembly method and system are urgently needed. SUMMARY

[0005] To solve the above problems, the present application proposes a structured teaching target disassembly method and system with a complete mapping system from knowledge atoms to teaching strategies. The essence is to encode the teaching experience of excellent teachers and the rules of educational science through technical means, making teaching design move from art to engineering, and ultimately realizing large-scale individualized education.

[0006] The specific steps of a structured teaching target disassembly method are as follows:

[0007] S1, obtaining teaching content, performing semantic analysis on the teaching content to obtain attribute segments and logical relationships, the attribute segments including entity semantics and action semantics;

[0008] S2, constructing a knowledge graph according to the attribute segments and the logical relationships, and defining the types of standard teaching targets according to the action semantics to generate an initial teaching framework;

[0009] S3, obtaining past teaching data, analyzing the past teaching data to obtain past teaching targets, past teaching methods and past teaching achievements, and establishing a mapping relationship between the past teaching targets, the past teaching methods and the past teaching achievements;

[0010] S4, supplementing the past teaching methods and the past teaching achievements to the strategy layer of the corresponding teaching target in the initial teaching framework according to the past teaching targets;

[0011] S5, obtaining the current teaching goal and the student personality, and decomposing the teaching goal according to the initial teaching framework to obtain a structured teaching scheme.

[0012] Preferably, in S1, the teaching content is obtained, semantic analysis is performed on the teaching content to obtain attribute fragments and logical relationships, and the attribute fragments include specific contents of entity semantics and action semantics, and the specific contents of the entity semantics and the action semantics include:

[0013] The teaching content includes text, courseware, and video scripts.

[0014] In the teaching content, concepts, objects, variables, and subjects in the semantic fragments are identified to obtain entity semantics, and the types and attributes of the entity semantics are labeled.

[0015] In the teaching content, behavior verbs and their associated operation objects are parsed to obtain action semantics.

[0016] In the teaching content, the logical chains between sentences are mined to obtain logical relationships.

[0017] Preferably, in S2, a knowledge graph is constructed according to the attribute fragments and the logical relationships, and the specific content of the initial teaching framework generated according to the types of the action semantics and the definition of the standard teaching goal is:

[0018] According to the entity semantics, the action semantics, and the logical relationships, entity nodes, action nodes, and logical relationship nodes are established.

[0019] According to the association relationship, the order, and the logical relationship between the entity semantics and the action semantics, edge relationships are established.

[0020] The action verbs in the action semantics are extracted, and an action verb-cognitive level mapping table is constructed based on the action verbs.

[0021] According to the cognitive levels in the action verb-cognitive level mapping table, the action nodes are configured with the standard teaching goal and the types of the standard teaching goal to obtain the initial teaching framework.

[0022] Preferably, past teaching data is obtained, the past teaching data is analyzed to obtain past teaching goals, past teaching methods, and past teaching achievements, and a mapping relationship between the past teaching goals, the past teaching methods, and the past teaching achievements is established.

[0023] The past teaching data includes lesson preparation plans, classroom videos, and student performance data.

[0024] The lesson preparation plan is analyzed to obtain teaching knowledge points, teaching requirements, and first teaching steps.

[0025] The classroom video is analyzed to obtain second teaching steps and first student performances.

[0026] The second student performance is obtained by analyzing the student performance data;

[0027] The past teaching target is obtained by disassembling and mapping the teaching knowledge points and teaching requirements;

[0028] The past teaching method is obtained by fusing and reorganizing the first teaching step and the second teaching step;

[0029] The teaching achievement is obtained by summarizing the first student performance and the second student performance;

[0030] The past teaching target monomer, the past teaching method monomer and the past teaching achievement monomer are obtained by disassembling the past teaching target, the past teaching method and the past teaching achievement;

[0031] The past teaching method monomers under the same past teaching target monomer are summarized to obtain a past teaching method monomer set;

[0032] The past teaching method monomers in the past teaching method monomer set are configured with teaching achievement monomers.

[0033] Preferably, the specific content of the past teaching method and the past teaching achievement supplemented to the strategy layer of the corresponding teaching target of the initial teaching framework according to the past teaching target is:

[0034] The semantic features of the past teaching target are extracted, and the semantic features of the past teaching target are matched with the semantic features of the standard teaching target to obtain a teaching target corresponding rule;

[0035] The past teaching achievement monomer is evaluated to obtain a teaching achievement evaluation value;

[0036] The teaching achievements are sorted from high to low according to the teaching achievement evaluation values, and the past teaching method monomers corresponding to the top one-third of the teaching achievement evaluation values in the order are selected to form a qualified teaching method monomer set;

[0037] The qualified teaching method monomer set is supplemented to the strategy layer of the corresponding teaching target of the initial teaching framework based on the teaching target corresponding rule.

[0038] Preferably, the specific content of the past teaching achievement monomer is evaluated to obtain a teaching achievement evaluation value is:

[0039] The image expression feature recognition of the first student performance in the past teaching achievement monomer is performed to obtain the number of rule-breaking students, and the speech recognition of the first student performance in the past teaching achievement monomer is performed to obtain the rule-breaking noise decibel value;

[0040] The score of the second student performance in the past teaching achievement monomer is counted to obtain an achievement score;

[0041] The first student performance in the past teaching achievement is subjected to image expression feature recognition to obtain the total number of rule-breaking students D;

[0042] The rule-breaking student number d, the rule-breaking noise decibel value F, and the achievement score H are respectively configured with weight conversion coefficients to obtain a teaching achievement evaluation value;

[0043] The expression of the teaching achievement evaluation value is:

[0044]

[0045] Among them, γ, α, β are respectively the weight conversion coefficients of the rule-breaking student number d, the rule-breaking noise decibel value F, and the achievement score H.

[0046] Preferably, in the process of obtaining the current teaching target and the student personality, and decomposing the teaching target according to the initial teaching framework to obtain the structured teaching scheme:

[0047] The strategy layer of the corresponding teaching target is configured with the strategy for implementing the teaching strategy according to the decomposition of the teaching target according to the initial teaching framework to obtain the structured teaching scheme.

[0048] In the teaching process, the student personality is planned and divided, and the current teaching achievement is evaluated periodically.

[0049] If the current teaching achievement is lower than the past teaching achievement, the teaching strategy is adjusted in time.

[0050] If the current teaching achievement is higher than the past teaching achievement, the student personality is marked in the teaching strategy for subsequent updating and iteration of the teaching strategy in combination with the teaching target and the student personality.

[0051] A structured teaching target decomposition system, comprising:

[0052] A data acquisition unit: obtaining teaching content, performing semantic analysis on the teaching content to obtain attribute segments and logical relationships, the attribute segments including entity semantics and action semantics;

[0053] An initial framework construction unit: constructing a knowledge graph according to the attribute segments and the logical relationships, and defining the type of the teaching target according to the action semantics to generate an initial teaching framework;

[0054] A framework filling unit: obtaining past teaching data, analyzing the past teaching data to obtain past teaching targets, past teaching methods, and past teaching achievements, and establishing a mapping relationship among the past teaching targets, the past teaching methods, and the past teaching achievements, and supplementing the past teaching methods and the past teaching achievements to the strategy layer of the corresponding teaching target of the initial teaching framework according to the past teaching targets;

[0055] The structured teaching scheme matching unit obtains the current teaching target, and obtains a structured teaching scheme by decomposing the teaching target according to an initial teaching framework.

[0056] An electronic device, characterized by comprising a memory and a processor, the memory stores a computer program, and the processor calls the computer program in the memory to realize the content of the structured teaching target decomposition method.

[0057] A storage medium, characterized by storing computer executable instructions in the storage medium, the computer executable instructions are loaded and executed by a processor to realize the content of the structured teaching target decomposition method.

[0058] In summary, compared with the traditional technology, the structured teaching target decomposition method and system of the present application automatically extracts entities and action semantics, ensures the accuracy and consistency of knowledge point decomposition, visualizes the logical relationship between knowledge points, exposes knowledge blind spots and connection faults, mines the "target-method-result" mapping relationship through machine learning, quantifies the effect boundary of different teaching strategies, automatically recommends a teaching form suitable for the current target based on historical successful cases, narrows the difference in teacher level through a standardized knowledge graph, and even a weak school can also obtain first-class teaching design, the knowledge graph naturally supports cross-disciplinary, the structured scheme can be directly connected to an intelligent teaching system, and functions such as automatic test paper generation and error question recommendation are realized.

[0059] The technical method of the present application will be further described in detail below by means of the accompanying drawings and examples. BRIEF DESCRIPTION OF DRAWINGS

[0060] Figure 1 A structured teaching target decomposition method step diagram of the present application;

[0061] Figure 2 A structured teaching target decomposition system module diagram of the present application. DETAILED DESCRIPTION

[0062] The technical method of the present application will be further described in detail below by means of the accompanying drawings and examples.

[0063] The following description of at least one example embodiment is merely illustrative in nature and is in no way limiting to the scope of the application or its applications or uses.

[0064] Techniques, systems, and devices known to those of ordinary skill in the relevant art can not be discussed in detail herein. However, where appropriate, techniques, systems, and devices should be considered part of the description of the application.

[0065] In all the examples shown and discussed herein, any specific values should be interpreted as merely exemplary, and not as a limitation. Thus, other examples of the exemplary embodiments can have different values.

[0066] Unless otherwise defined, technical terms or scientific terms used in the present application shall have the ordinary meanings as understood by one of ordinary skill in the art to which the present application pertains.

[0067] Embodiment one

[0068] A structured teaching goal disassembly method has the following specific steps:

[0069] S1, obtaining teaching content, performing semantic analysis on the teaching content to obtain attribute fragments and logical relationships, the attribute fragments including entity semantics and action semantics.

[0070] Further, the specific content of S1, obtaining teaching content, performing semantic analysis on the teaching content to obtain attribute fragments and logical relationships, the attribute fragments including entity semantics and action semantics, includes:

[0071] The teaching content includes text, courseware, and video scripts.

[0072] Identifying concepts, objects, variables, and subjects in semantic fragments in the teaching content to obtain entity semantics and labeling the types and attributes of the entity semantics.

[0073] Parsing behavior verbs and their associated operation objects in the teaching content to obtain action semantics.

[0074] Mining the logical chains between sentences in the teaching content to obtain logical relationships.

[0075] S2, constructing a knowledge graph according to the attribute fragments and the logical relationships, and defining the types of the standard teaching goals according to the action semantics to generate an initial teaching framework.

[0076] Further, the specific content of S2, constructing a knowledge graph according to the attribute fragments and the logical relationships, and defining the types of the standard teaching goals according to the action semantics to generate an initial teaching framework, includes:

[0077] Establishing entity nodes, action nodes, and logical relationship nodes according to the entity semantics, the action semantics, and the logical relationships.

[0078] Establishing edge relationships according to the association relationships, the order, and the logical relationships between the entity semantics and the action semantics.

[0079] Extracting action verbs in the action semantics, and constructing an action verb-cognitive level mapping table based on the action verbs.

[0080] According to the cognitive level in the action verb-cognitive level mapping table, the specification teaching target and the type of the specification teaching target are configured for the action node to obtain an initial teaching framework.

[0081] S3, obtain past teaching data, analyze the past teaching data to obtain past teaching targets, past teaching methods and past teaching achievements, and establish a mapping relationship between the past teaching targets, the past teaching methods and the past teaching achievements.

[0082] Further, the specific content of obtaining past teaching data, analyzing the past teaching data to obtain past teaching targets, past teaching methods and past teaching achievements, and establishing a mapping relationship between the past teaching targets, the past teaching methods and the past teaching achievements is:

[0083] The past teaching data includes lesson preparation, classroom video, student performance data.

[0084] The lesson preparation is analyzed to obtain teaching knowledge points, teaching requirements and first teaching steps.

[0085] The classroom video is analyzed to obtain second teaching steps and first student performance.

[0086] The student performance data is analyzed to obtain second student performance.

[0087] The teaching knowledge points and the teaching requirements are disassembled and mapped to obtain past teaching targets.

[0088] The first teaching steps and the second teaching steps are fused and reorganized to obtain past teaching methods.

[0089] The first student performance and the second student performance are summarized to obtain teaching achievements.

[0090] It can be understood that the first student performance refers to the classroom performance, which can reflect the degree of interest of the student in the current teaching method, and the second student performance refers to the performance. The student's interest is not the most important, the important thing is to digest, understand and absorb, which is reflected in the performance. Although there is a certain correlation between the two, the polarization situation should also be avoided.

[0091] The past teaching targets, the past teaching methods and the past teaching achievements are disassembled to obtain past teaching target monomers, past teaching method monomers and past teaching achievement monomers.

[0092] The past teaching method monomers under the same past teaching target monomer are summarized to obtain a past teaching method monomer set.

[0093] The past teaching achievement monomers are configured for the past teaching method monomers in the past teaching method monomer set.

[0094] S4, a strategy of supplementing the past teaching methods and the past teaching achievements to the strategy layer of the corresponding teaching objectives of the initial teaching framework according to the past teaching objectives.

[0095] Further, the specific content of the strategy of supplementing the past teaching methods and the past teaching achievements to the strategy layer of the corresponding teaching objectives of the initial teaching framework according to the past teaching objectives is.

[0096] The semantic features of the past teaching objectives are extracted, and the semantic features of the past teaching objectives are matched with the semantic features of the standard teaching objectives to obtain the teaching objective corresponding rule.

[0097] It can be understood that the core semantic features (such as key verbs, knowledge entities, and ability levels) are extracted from the past teaching objectives by using NLP technology (such as word embedding and dependency syntax analysis), and the semantic labels of the standard teaching objectives are matched with the vector similarity to establish the mapping relationship of “old target→new target”.

[0098] The past teaching achievements are evaluated to obtain the teaching achievement evaluation value.

[0099] The teaching achievements are sorted from high to low according to the teaching achievement evaluation value, and the past teaching methods corresponding to the top one-third of the teaching achievement evaluation values are selected to form a set of qualified teaching method monomers.

[0100] It can be understood that the past teaching achievements are normalized based on multi-dimensional indicators (such as student performance, task completion, and innovation work score), and a comprehensive evaluation value is generated. After descending order according to the evaluation value, the top 1 / 3 of the high-performance teaching achievements are selected, and the “80-20 distribution” rule is followed to focus on the head high-quality cases and avoid the interference of inefficient teaching methods.

[0101] Based on the teaching objective corresponding rule, the set of qualified teaching method monomers is supplemented to the strategy layer of the corresponding teaching objectives of the initial teaching framework.

[0102] It can be understood that according to the target mapping rule, the selected high-performance teaching methods (such as project-based learning and flipped classroom) are accurately bound to the strategy layer of the corresponding teaching objectives in the initial teaching framework to form a “target-strategy-evidence chain” closed loop. The association storage of strategy and target is realized by knowledge graph or label system, which is convenient for subsequent calling and iteration.

[0103] Further, the specific content of the evaluation of the past teaching achievement monomer to obtain the teaching achievement evaluation value is.

[0104] The image expression feature of the first student performance in the past teaching achievement monomer is recognized to obtain the number of rule-breaking students, and the voice recognition of the first student performance in the past teaching achievement monomer is obtained to obtain the rule-breaking noise decibel value.

[0105] The achievement score is obtained by statistically analyzing the scores of the second student performance in the past teaching achievement monomer.

[0106] The total number of rule-breaking students D is obtained by identifying the image expression features of the first student performance in the past teaching achievement.

[0107] The teaching achievement evaluation value is obtained by configuring the weight conversion coefficients for the number of rule-breaking students d, the rule-breaking noise decibel value F, and the achievement score H.

[0108] The expression of the teaching achievement evaluation value is:

[0109] wherein γ, α, β are the weight conversion coefficients of the number of rule-breaking students d, the rule-breaking noise decibel value F, and the achievement score H, respectively.

[0110] S5, obtain the current teaching goal and the student personality, and obtain the structured teaching scheme by decomposing the teaching goal according to the initial teaching framework, and decompose the macro teaching goal into quantifiable micro goals (such as "master 3 equation solving methods" → "the standard rate of solving binary linear equation system is ≥90%").

[0111] Further, in the process of obtaining the current teaching goal and the student personality, and obtaining the structured teaching scheme by decomposing the teaching goal according to the initial teaching framework:

[0112] The strategy of the strategy layer corresponding to the teaching goal is implemented according to the structured teaching scheme obtained by decomposing the teaching goal according to the initial teaching framework.

[0113] In the teaching process, the students are divided into groups according to their personalities, and the current teaching achievement is evaluated periodically.

[0114] If the current teaching achievement is lower than the past teaching achievement, the teaching strategy is adjusted in time.

[0115] If the current teaching achievement is higher than the past teaching achievement, the student personality is marked in the teaching strategy for subsequent updating and iteration of the teaching strategy combined with the teaching goal and the student personality, and the teaching knowledge base is formed by automatically recording each teaching modification and its effect, and the teaching knowledge base is formed by automatically recording each teaching modification and its effect.

[0116] Embodiment two

[0117] A structured teaching goal decomposition system, comprising:

[0118] A data acquisition unit: obtain teaching content, and perform semantic analysis on the teaching content to obtain attribute segments and logical relationships, wherein the attribute segments include entity semantics and action semantics.

[0119] An initial framework construction unit: constructing a knowledge graph according to attribute fragments and logical relations, and generating an initial teaching framework according to the type of teaching objectives defined by action semantics.

[0120] A framework filling unit: obtaining past teaching data, analyzing the past teaching data to obtain past teaching objectives, past teaching methods and past teaching achievements, and establishing a mapping relationship between the past teaching objectives, the past teaching methods and the past teaching achievements, and supplementing the past teaching methods and the past teaching achievements to the strategy layer of the corresponding teaching objectives of the initial teaching framework according to the past teaching objectives.

[0121] A structured teaching scheme matching unit: obtaining a current teaching objective, and decomposing the teaching objective according to the initial teaching framework to obtain a structured teaching scheme.

[0122] An electronic device, characterized by comprising a memory and a processor, the memory storing a computer program, and the processor calling the computer program in the memory to realize the content of the structured teaching objective decomposition method.

[0123] A storage medium, characterized by storing computer executable instructions in the storage medium, and the computer executable instructions are loaded and executed by the processor to realize the content of the structured teaching objective decomposition method.

[0124] Finally, it should be noted that: the above embodiments are only used to illustrate the technical method of the present application, but not to limit it, although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that: it can still modify or equivalently replace the technical method of the present application, and these modifications or equivalent replacements also cannot make the modified technical method deviate from the spirit and scope of the technical method of the present application.

Claims

1. A method for decomposing structured teaching objectives, characterized in that, Includes the following steps: S1. Obtain teaching content, perform semantic analysis on the teaching content to obtain attribute fragments and logical relationships, wherein the attribute fragments include entity semantics and action semantics; S2. Construct a knowledge graph based on attribute fragments and logical relationships, and generate an initial teaching framework based on the type of teaching objectives defined by action semantics. S3. Obtain past teaching data, analyze the past teaching data to obtain past teaching objectives, past teaching methods and past teaching results, and establish the mapping relationship between past teaching objectives, past teaching methods and past teaching results; S4. Based on past teaching objectives, supplement past teaching methods and past teaching outcomes into the strategy layer of the corresponding teaching objectives in the initial teaching framework; S5. Obtain the current teaching objectives and students' personalities, and break down the teaching objectives according to the initial teaching framework to obtain a structured teaching plan; The process of acquiring and analyzing past teaching data to obtain past teaching objectives, methods, and outcomes, and establishing a mapping relationship between these factors, is as follows: The past teaching data includes lesson plans, classroom videos, and student performance data; The lesson plan was analyzed to identify the key knowledge points, teaching requirements, and the first teaching step. The analysis of classroom videos yielded the second teaching step and the first student's performance. The second student's performance was obtained by analyzing the student's academic data; The teaching knowledge points and teaching requirements are broken down and mapped to obtain past teaching objectives; The previous teaching methods were obtained by integrating and reorganizing the first and second teaching steps. The teaching results are obtained by summarizing the performance of the first student and the performance of the second student. The past teaching objectives, past teaching methods, and past teaching outcomes are broken down into individual past teaching objectives, individual past teaching methods, and individual past teaching outcomes. The past teaching methods under the same past teaching objectives are summarized to obtain a set of past teaching methods; Configure teaching outcome units for the past teaching method units that are previously concentrated in the past teaching method units; The specific content of the strategy layer that supplements past teaching methods and outcomes into the corresponding teaching objectives of the initial teaching framework based on past teaching objectives is as follows: Extract the semantic features of past teaching objectives, and match the semantic features of past teaching objectives with the semantic features of standard teaching objectives to obtain the teaching objective correspondence rules; The teaching achievement evaluation value is obtained by evaluating individual past teaching achievements. Based on the teaching outcome evaluation value, the teaching outcomes are sorted from high to low, and the top one-third of the teaching outcome evaluation values ​​are selected to form a set of qualified teaching method units. Based on the rules corresponding to teaching objectives, the set of qualified teaching methods is supplemented to the strategy layer of the corresponding teaching objectives in the initial teaching framework; The specific content of the evaluation value for teaching achievements obtained by evaluating individual past teaching achievements is as follows: The number of students who violated the rules was obtained by image facial expression feature recognition of the first student's performance in the previous teaching achievement individual, and the decibel value of the violation noise was obtained by speech recognition of the first student's performance in the previous teaching achievement individual. The score for the second student's performance in each individual teaching outcome was calculated by statistically analyzing the scores of the past teaching outcomes. The total number of students who violated regulations was determined by analyzing the facial expression features of the first student in the past teaching results. ; Number of students who violated the rules illegal noise decibel values Results Score The teaching outcome evaluation value is obtained by configuring weight conversion coefficients respectively; The expression for the teaching outcome evaluation value is: ； in, , , The number of students who violated the rules illegal noise decibel values Results Score Weight conversion coefficient; In the process of obtaining current teaching objectives and student characteristics, and breaking down the teaching objectives into a structured teaching plan based on the initial teaching framework: Based on the initial teaching framework, the teaching objectives are broken down to obtain a structured teaching plan, and strategies corresponding to the strategy layer of the teaching objectives are configured as teaching strategies for implementation. During the teaching process, students are statistically categorized based on their personalities, and the current teaching outcomes are evaluated periodically. If current teaching results are lower than past teaching results, teaching strategies should be adjusted in a timely manner. If current teaching results are higher than past results, student personality traits will be marked in the teaching strategy for future updates and iterations based on teaching objectives and student personality traits.

2. The method for decomposing structured teaching objectives according to claim 1, characterized in that, In S1, teaching content is obtained, and semantic analysis is performed on the teaching content to obtain attribute fragments and logical relationships. The attribute fragments include specific content of entity semantics and action semantics, including: The teaching content includes text, courseware, and video scripts; In the teaching content, identify concepts, objects, variables, and subjects in semantic fragments to obtain entity semantics and label the type and attributes of entity semantics; The semantics of actions are derived by analyzing action verbs and their associated objects within the teaching content. Logical relationships are derived by exploring the logical chains between sentences within the teaching content.

3. The method for decomposing structured teaching objectives according to claim 2, characterized in that, In S2, the knowledge graph is constructed based on attribute fragments and logical relationships, and the initial teaching framework is generated based on the type of instructional objectives defined by action semantics. The specific content is as follows: Entity nodes, action nodes, and logical relationship nodes are established based on entity semantics, action semantics, and logical relationships, respectively. Establish edge relationships based on the association, sequence, and logical relationships between entity semantics and action semantics; Extract action verbs from action semantics and construct an action verb-cognitive hierarchy mapping table based on the action verbs; The initial teaching framework is obtained by configuring standardized teaching objectives and the types of standardized teaching objectives for action nodes based on the cognitive levels in the action verb-cognitive hierarchy mapping table.

4. A system for decomposing structured learning objectives, used to implement the method for decomposing structured learning objectives as described in any one of claims 1-3, characterized in that, include: Data acquisition unit: acquires teaching content, performs semantic analysis on the teaching content to obtain attribute fragments and logical relationships, wherein the attribute fragments include entity semantics and action semantics; Initial framework building unit: Construct a knowledge graph based on attribute fragments and logical relationships, and generate an initial teaching framework based on the type of teaching objectives defined by action semantics; Framework Filling Unit: Obtain past teaching data, analyze the past teaching data to obtain past teaching objectives, past teaching methods and past teaching results, and establish the mapping relationship between past teaching objectives, past teaching methods and past teaching results. Based on past teaching objectives, supplement past teaching methods and past teaching results into the strategy layer of the corresponding teaching objectives in the initial teaching framework. Structured teaching plan matching unit: Obtain the current teaching objectives, and break them down into structured teaching plans based on the initial teaching framework.

5. An electronic device, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program, and the processor, when calling the computer program in the memory, implements the content of the decomposition method of the structured teaching objectives as described in any one of claims 1 to 3.

6. A storage medium, characterized in that, The storage medium stores computer-executable instructions, which, when loaded and executed by a processor, implement the content of the decomposition method for structured teaching objectives as described in any one of claims 1 to 3.

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