Structured teaching target disassembling method and system
By constructing a knowledge graph and using past teaching data to generate an initial teaching framework, and adjusting teaching strategies based on student personalities, the problem of disconnection between teaching objectives and the actual teaching process is solved, and the automation of structured teaching plans and personalized teaching design are achieved.
Patent Information
- Application Number
- CN202511090648.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-05
- Publication Date
- 2025-09-30
- Estimated Expiration
- 2045-08-05
AI Technical Summary
Existing technologies are difficult to adapt to diverse teaching scenarios and personalized teaching needs, and cannot fully consider the learning characteristics of different students and the teaching styles of teachers, resulting in a disconnect between teaching objectives and the actual teaching process.
By obtaining teaching content for semantic analysis, building a knowledge graph, defining standardized teaching objectives, using past teaching data to establish mapping relationships, generating an initial teaching framework, and adjusting teaching strategies based on student personalities, the automatic disassembly of structured teaching plans can be achieved.
It achieves accurate segmentation of knowledge points and visualization of logical relationships, quantifies the effectiveness of teaching strategies, automatically recommends suitable teaching methods, narrows the gap in teacher quality, and supports the application of interdisciplinary and intelligent teaching systems.
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Figure CN120725834A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of structured teaching improvement, and in particular to a method and system for disassembling structured teaching objectives. Background Art
[0002] Currently, there are some technical attempts on the market to break down teaching objectives, primarily focusing on analyzing instructional texts using natural language processing and rule engines. Some systems can identify key verbs and nouns in teaching objectives, extract essential teaching elements such as key knowledge points and skill requirements, and organize them into a preliminarily hierarchical structure. However, these existing technologies still face numerous challenges.
[0003] Simple rule-based engines struggle to adapt to diverse teaching scenarios and personalized learning needs, and they fail to fully consider the learning characteristics of different students and the teaching styles of teachers. Existing technologies often address teaching objectives in isolation, failing to effectively integrate teaching resources, teaching activities, and evaluation systems. This leads to a disconnect between teaching objectives and the actual teaching process.
[0004] In order to solve these problems, a method and system for disassembling structured teaching objectives is urgently needed. Summary of the Invention
[0005] To address these issues, this application proposes a method for decomposing structured teaching objectives and a comprehensive mapping system from knowledge atoms to teaching strategies. Essentially, this approach uses technology to encode the teaching experience of outstanding teachers and the laws of educational science, transforming instructional design from art to engineering, ultimately achieving scalable, individualized instruction.
[0006] The specific steps of a method for disassembling structured teaching objectives are as follows:
[0007] S1. Acquire 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;
[0008] S2. Construct a knowledge graph based on attribute fragments and logical relationships, and generate an initial teaching framework based on the type of standardized teaching objectives defined by action semantics;
[0009] S3. Obtain past teaching data, analyze the past teaching data to obtain past teaching objectives, past teaching methods, and past teaching results, and establish a mapping relationship between past teaching objectives, past teaching methods, and past teaching results;
[0010] S4. Based on past teaching objectives, supplement past teaching methods and past teaching results to the strategy layer of the corresponding teaching objectives of the initial teaching framework;
[0011] S5. Obtain the current teaching objectives and student personality, and break down the teaching objectives according to the initial teaching framework to obtain a structured teaching plan.
[0012] Preferably, in S1, the teaching content is obtained and semantic analysis is performed on the teaching content to obtain attribute segments and logical relationships. The attribute segments include entity semantics and action semantics. Specifically, the following contents are included:
[0013] The teaching content includes text, courseware, and video scripts;
[0014] Identify concepts, objects, variables and subjects in semantic segments in teaching content to obtain entity semantics and label the types and attributes of entity semantics;
[0015] Analyze action verbs and their associated operands in the teaching content to obtain action semantics;
[0016] Dig out the logical chains between sentences in the teaching content to obtain logical relationships.
[0017] Preferably, in S2, a knowledge graph is constructed based on attribute fragments and logical relationships, and the specific content of generating an initial teaching framework based on the type of standardized teaching objectives defined by action semantics is as follows:
[0018] According to entity semantics, action semantics and logical relationships, entity nodes, action nodes and logical relationship nodes are established respectively;
[0019] Establish edge relationships based on the association, sequence, and logical relationships between entity semantics and action semantics;
[0020] Extract action verbs from action semantics and construct an action verb-cognitive level mapping table based on action verbs;
[0021] According to the cognitive level in the action verb-cognitive level mapping table, the action node is configured with the standardized teaching objectives and the type of the standardized teaching objectives to obtain the initial teaching framework.
[0022] Preferably, past teaching data is obtained, and the past teaching data is analyzed to obtain past teaching objectives, past teaching methods, and past teaching results. The specific content of establishing the mapping relationship between past teaching objectives, past teaching methods, and past teaching results is as follows:
[0023] The past teaching data includes lesson plans, classroom videos, and student performance data;
[0024] Analyze the lesson plan to obtain teaching knowledge points, teaching requirements and the first teaching steps;
[0025] Analyze the classroom video to obtain the second teaching steps and the first student performance;
[0026] Analyze the student performance data to obtain the second student performance;
[0027] Deconstruct and map the teaching knowledge points and teaching requirements to obtain past teaching objectives;
[0028] The first teaching step and the second teaching step are integrated and reorganized to obtain the past teaching method;
[0029] The performance of the first student and the performance of the second student are summarized to obtain the teaching results;
[0030] Decompose past teaching objectives, past teaching methods and past teaching achievements into past teaching objective monomers, past teaching method monomers and past teaching achievement monomers;
[0031] Aggregate the past teaching method monomers under the same past teaching goal monomer to obtain a past teaching method monomer set;
[0032] A teaching achievement monomer is configured for the past teaching method monomer in the past teaching method monomer concentration.
[0033] Preferably, the specific content of the strategy layer of the corresponding teaching objectives of the initial teaching framework, which supplements the past teaching methods and past teaching achievements according to the past teaching objectives, is as follows:
[0034] Extract the semantic features of past teaching objectives, match the semantic features of past teaching objectives with the semantic features of standard teaching objectives to obtain the teaching objective correspondence rules;
[0035] Evaluate past teaching achievement entities to obtain teaching achievement evaluation values;
[0036] Sort the teaching achievements from high to low according to the teaching achievement evaluation values, and select the past teaching method monomers corresponding to the teaching achievement evaluation values in the top one-third of the order to form a qualified teaching method monomer set;
[0037] Based on the teaching objective correspondence rules, the qualified teaching method monomer set is added to the strategy layer of the corresponding teaching objectives of the initial teaching framework.
[0038] Preferably, the specific content of the teaching achievement evaluation value obtained by evaluating the past teaching achievement monomers is:
[0039] The number of students violating the rules is obtained by performing image expression feature recognition on the performance of the first student in the past teaching results monomer, and the decibel value of the violation noise is obtained by performing voice recognition on the performance of the first student in the past teaching results monomer;
[0040] The achievement score is obtained by performing statistics on the second student's performance paper in the past teaching achievement monomer;
[0041] The number of students violating the rules is obtained by performing image expression feature recognition on the first student in the past teaching results;
[0042] The number of students violating the rules d, the decibel value of the illegal noise F, and the achievement score H are respectively configured with weight conversion coefficients to obtain the teaching achievement evaluation value;
[0043] The expression of teaching achievement evaluation value is:
[0044]
[0045] Among them, γ, α, and β are the weight conversion coefficients of the number of students violating the rules d, the decibel value of the violation noise F, and the achievement score H, respectively.
[0046] Preferably, in the process of obtaining the current teaching objectives and student personality, and breaking down the teaching objectives according to the initial teaching framework to obtain a structured teaching plan:
[0047] According to the initial teaching framework, the teaching objectives are disassembled to obtain a structured teaching plan and the strategies at the strategy layer corresponding to the teaching objectives are configured as teaching strategies for implementation;
[0048] During the teaching process, students are statistically divided according to their personalities and the current teaching results are evaluated periodically;
[0049] If the current teaching results are lower than the past teaching results, adjust the teaching strategy in time;
[0050] If the current teaching results are higher than the previous teaching results, the student's personality will be marked in the teaching strategy for subsequent updating and iteration of the teaching strategy based on the teaching objectives and student personality.
[0051] A disassembly system for structured teaching objectives, including:
[0052] Data collection unit: acquires teaching content, performs semantic analysis on the teaching content to obtain attribute segments and logical relationships, wherein the attribute segments include entity semantics and action semantics;
[0053] Initial framework construction unit: Builds a knowledge graph based on attribute fragments and logical relationships, and generates an initial teaching framework based on the type of teaching objectives defined by action semantics;
[0054] 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 a mapping relationship between past teaching objectives, past teaching methods and past teaching results. Based on the past teaching objectives, the past teaching methods and past teaching results are added to the strategy layer of the corresponding teaching objectives of the initial teaching framework;
[0055] Structured teaching plan matching unit: obtain the current teaching objectives, and break down the teaching objectives according to the initial teaching framework to obtain a structured teaching plan.
[0056] An electronic device, characterized in that it includes a memory and a processor, wherein a computer program is stored in the memory, and when the processor calls the computer program in the memory, the content of the disassembly method of implementing structured teaching objectives is realized.
[0057] 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 a disassembly method for structured teaching objectives.
[0058] In summary, compared with traditional technologies, the present invention's method and system for disassembling structured teaching objectives automatically extracts entity and action semantics, ensures the accuracy and consistency of knowledge point splitting, visualizes the logical relationship between knowledge points, exposes knowledge blind spots and connection gaps, mines the "goal-method-result" mapping relationship through machine learning, quantifies the effect boundaries of different teaching strategies, and automatically recommends teaching methods that are adapted to current goals based on historical successful cases. By standardizing knowledge graphs, the difference in teacher quality is narrowed, and weak schools can also obtain first-class teaching designs. Knowledge graphs naturally support interdisciplinary studies, and structured solutions can be directly connected to intelligent teaching systems to realize functions such as automatic test paper generation and wrong question recommendation.
[0059] The technical method of the present invention is further described in detail below through the accompanying drawings and examples. BRIEF DESCRIPTION OF THE DRAWINGS
[0060] Figure 1 A diagram showing the steps of a method for disassembling a structured teaching objective according to the present invention;
[0061] Figure 2 This is a module diagram of the disassembly system of a structured teaching objective of the present invention. DETAILED DESCRIPTION
[0062] The technical method of the present invention is further described below through the accompanying drawings and embodiments. It should be noted that unless otherwise specifically stated, the relative arrangement of components and steps, numerical expressions and values described in these embodiments do not limit the scope of this application.
[0063] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the present disclosure, its application, or uses.
[0064] Technologies, systems, and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, they should be considered part of the specification.
[0065] In all examples shown and discussed herein, any specific values should be interpreted as merely exemplary and not limiting. Therefore, other examples of the exemplary embodiments may have different values.
[0066] Unless otherwise defined, technical or scientific terms used in the present invention shall have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs.
[0067] Example 1
[0068] The specific steps of a method for disassembling structured teaching objectives are as follows:
[0069] S1. Acquire teaching content, perform semantic analysis on the teaching content to obtain attribute segments and logical relationships, wherein the attribute segments include entity semantics and action semantics.
[0070] Furthermore, in S1, the teaching content is obtained and semantic analysis is performed on the teaching content to obtain attribute segments and logical relationships. The attribute segments include entity semantics and action semantics. The specific contents include:
[0071] The teaching content includes text, courseware, and video scripts;
[0072] Identify concepts, objects, variables and subjects in semantic segments in teaching content to obtain entity semantics and label the types and attributes of entity semantics;
[0073] Analyze action verbs and their associated operation objects in the teaching content to obtain action semantics.
[0074] Dig out the logical chains between sentences in the teaching content to obtain logical relationships.
[0075] S2. Construct a knowledge graph based on attribute fragments and logical relationships, and generate an initial teaching framework based on the type of standardized teaching objectives defined by action semantics.
[0076] Furthermore, in S2, a knowledge graph is constructed based on attribute fragments and logical relationships, and the specific content of the initial teaching framework is generated based on the action semantic definition and the type of teaching objectives:
[0077] Entity nodes, action nodes and logical relationship nodes are established according to entity semantics, action semantics and logical relationships respectively.
[0078] Edge relationships are established based on the association, sequence and logical relationship between entity semantics and action semantics.
[0079] The action verbs in the action semantics are extracted, and an action verb-cognitive level mapping table is constructed based on the action verbs.
[0080] According to the cognitive level in the action verb-cognitive level mapping table, the action node is configured with the standardized teaching objectives and the type of the standardized teaching objectives to obtain the initial teaching framework.
[0081] S3. Obtain past teaching data, analyze the past teaching data to obtain past teaching objectives, past teaching methods and past teaching results, and establish a mapping relationship between past teaching objectives, past teaching methods and past teaching results.
[0082] Furthermore, past teaching data is obtained and analyzed to obtain past teaching objectives, past teaching methods and past teaching results. The specific content of establishing the mapping relationship between past teaching objectives, past teaching methods and past teaching results is as follows:
[0083] The past teaching data includes lesson plans, classroom videos, and student performance data.
[0084] Analyze the lesson plan to obtain teaching knowledge points, teaching requirements and the first teaching steps.
[0085] The classroom video was analyzed to obtain the second teaching steps and the first student performance.
[0086] The student performance data is analyzed to obtain the second student performance.
[0087] The teaching knowledge points and teaching requirements are broken down and mapped to obtain past teaching objectives.
[0088] The first teaching step and the second teaching step are integrated and reorganized to obtain the past teaching method.
[0089] The teaching results are obtained by summarizing the performance of the first student and the second student.
[0090] It is understandable that, first, student performance refers to classroom performance, which can reflect the students' interest in the current teaching method. Second, student performance refers to academic performance. Students' interest is not the most important thing. What is important is that they can digest, understand and absorb. This digestion and understanding is reflected in academic performance. Although the two have a certain correlation, we must also avoid polarization.
[0091] The past teaching objectives, past teaching methods and past teaching achievements are disassembled to obtain past teaching objective monomers, past teaching method monomers and past teaching achievement monomers.
[0092] The past teaching method monomers under the same past teaching objective monomer are aggregated to obtain a past teaching method monomer set.
[0093] A teaching achievement monomer is configured for the past teaching method monomer in the past teaching method monomer concentration.
[0094] S4. Based on past teaching objectives, supplement past teaching methods and past teaching results to the strategy layer of the corresponding teaching objectives of the initial teaching framework.
[0095] Furthermore, the specific content of the strategy layer of the corresponding teaching objectives of the initial teaching framework is to supplement the past teaching methods and past teaching results according to the past teaching objectives.
[0096] The semantic features of past teaching objectives are extracted, and the semantic features of past teaching objectives are matched with the semantic features of standard teaching objectives to obtain the teaching objective correspondence rules.
[0097] It is understandable that NLP technology (such as word embedding and dependency syntax analysis) is used to extract core semantic features (such as key verbs, knowledge entities, and ability levels) from past teaching objectives, and perform vector similarity matching with the semantic labels of standard teaching objectives to establish a mapping relationship from "old objectives to new objectives".
[0098] Evaluate past teaching achievements to obtain teaching achievement evaluation values.
[0099] 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 teaching achievement evaluation values in the first one-third of the screening order are formed into a qualified teaching method monomer set.
[0100] It is understandable that past teaching achievements are normalized based on multi-dimensional indicators (such as student grades, task completion, innovative work scores, etc.) to generate a comprehensive evaluation value; after arranging them in descending order according to the evaluation value, the teaching methods corresponding to the top 1 / 3 high-performance teaching achievements are selected, following the "28 distribution" law, focusing on top quality cases, and avoiding the interference of inefficient teaching methods.
[0101] Based on the teaching objective correspondence rules, the qualified teaching method monomer set is added to the strategy layer of the corresponding teaching objectives of the initial teaching framework.
[0102] Understandably, based on goal mapping rules, selected high-performance teaching methods (such as project-based learning and flipped classrooms) are precisely bound to the strategy layer corresponding to the teaching objectives in the initial teaching framework, forming a closed loop of "goal-strategy-evidence chain." The associated storage of strategies and goals using a knowledge graph or tag system facilitates subsequent call and iteration.
[0103] Furthermore, the specific content of the teaching achievement evaluation value obtained by evaluating the past teaching achievement units is as follows.
[0104] The number of students violating the rules is obtained by performing image expression feature recognition on the performance of the first student in the past teaching results monomer, and the decibel value of the violation noise is obtained by performing voice recognition on the performance of the first student in the past teaching results monomer.
[0105] The achievement score is obtained by statistically analyzing the scores of the second student's performance papers in the past teaching achievement units.
[0106] The total number of students violating the rules D is obtained by performing image expression feature recognition on the performance of the first student in past teaching results.
[0107] The weight conversion coefficients are configured for the number of students violating the rules d, the decibel value of the illegal noise F, and the achievement score H, respectively, to obtain the teaching achievement evaluation value.
[0108] The expression of teaching achievement evaluation value is:
[0109] Among them, γ, α, and β are the weight conversion coefficients of the number of students violating the rules d, the decibel value of the violation noise F, and the achievement score H, respectively.
[0110] S5. Obtain the current teaching objectives and student characteristics, break down the teaching objectives according to the initial teaching framework to obtain a structured teaching plan, and decompose the macro teaching objectives into quantifiable micro goals (such as "mastering 3 types of equation solutions" → "the standard-solving rate for systems of two linear equations is ≥ 90%").
[0111] Furthermore, in the process of obtaining the current teaching objectives and student personality, and breaking down the teaching objectives according to the initial teaching framework to obtain a structured teaching plan:
[0112] According to the initial teaching framework, the teaching objectives are disassembled to obtain a structured teaching plan and the strategies at the strategy layer corresponding to the teaching objectives are configured as teaching strategies for implementation.
[0113] During the teaching process, students are statistically divided according to their personalities, and the current teaching results are evaluated in stages.
[0114] If the current teaching results are lower than the past teaching results, the teaching strategy should be adjusted in time.
[0115] If the current teaching results are higher than the past teaching results, the student's personality will be marked in the teaching strategy for subsequent updating and iteration of the teaching strategy in combination with the teaching objectives and student personality, and each teaching modification and its effect will be automatically recorded to form a continuously iterative teaching knowledge base.
[0116] Example 2
[0117] A disassembly system for structured teaching objectives, including:
[0118] Data acquisition unit: obtains teaching content, performs semantic analysis on the teaching content to obtain attribute segments and logical relationships, wherein the attribute segments include entity semantics and action semantics.
[0119] Initial framework construction unit: constructs a knowledge graph based on attribute fragments and logical relationships, and generates an initial teaching framework based on the type of teaching objectives defined by action semantics.
[0120] 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 a mapping relationship between past teaching objectives, past teaching methods and past teaching results. According to the past teaching objectives, the past teaching methods and past teaching results are added to the strategy layer of the corresponding teaching objectives of the initial teaching framework.
[0121] Structured teaching plan matching unit: obtain the current teaching objectives, and break down the teaching objectives according to the initial teaching framework to obtain a structured teaching plan.
[0122] An electronic device, characterized in that it includes a memory and a processor, wherein a computer program is stored in the memory, and when the processor calls the computer program in the memory, the content of the disassembly method of implementing structured teaching objectives is realized.
[0123] 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 a disassembly method for structured teaching objectives.
[0124] Finally, it should be noted that the above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that they can still modify or replace the technical method of the present invention with equivalents, and these modifications or equivalent replacements cannot cause the modified technical method to deviate from the spirit and scope of the technical method of the present invention.
Claims
1. A method for disassembling structured teaching objectives, characterized by: The following steps are involved: S1. Acquire 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; S2. Construct a knowledge graph based on attribute fragments and logical relationships, and generate an initial teaching framework based on the type of standardized 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 a 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 results to the strategy layer of the corresponding teaching objectives of the initial teaching framework; S5. Obtain the current teaching objectives and student personality, and break down the teaching objectives according to the initial teaching framework to obtain a structured teaching plan.
2. The method for disassembling structured teaching objectives according to claim 1, characterized in that: In S1, the teaching content is obtained and semantic analysis is performed on the teaching content to obtain attribute segments and logical relationships. The attribute segments include entity semantics and action semantics. The specific contents include: The teaching content includes text, courseware, and video scripts; Identify concepts, objects, variables and subjects in semantic segments in teaching content to obtain entity semantics and label the types and attributes of entity semantics; Analyze action verbs and their associated operands in the teaching content to obtain action semantics; Dig out the logical chains between sentences in the teaching content to obtain logical relationships.
3. The method for disassembling structured teaching objectives according to claim 2, characterized in that: In S2, a knowledge graph is constructed based on attribute fragments and logical relationships, and the specific content of the initial teaching framework is generated based on the action semantic definition and standardization of the teaching objectives: According to entity semantics, action semantics and logical relationships, entity nodes, action nodes and logical relationship nodes are established 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 level mapping table based on action verbs; According to the cognitive level in the action verb-cognitive level mapping table, the action node is configured with the standardized teaching objectives and the type of the standardized teaching objectives to obtain the initial teaching framework.
4. The method for disassembling structured teaching objectives according to claim 1, characterized in that: 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. The specific content is as follows: The past teaching data includes lesson plans, classroom videos, and student performance data; Analyze the lesson plan to obtain teaching knowledge points, teaching requirements and the first teaching steps; Analyze the classroom video to obtain the second teaching steps and the first student performance; Analyze the student performance data to obtain the second student performance; Deconstruct and map the teaching knowledge points and teaching requirements to obtain past teaching objectives; The first teaching step and the second teaching step are integrated and reorganized to obtain the past teaching method; The performance of the first student and the performance of the second student are summarized to obtain the teaching results; Decompose past teaching objectives, past teaching methods and past teaching achievements into past teaching objective monomers, past teaching method monomers and past teaching achievement monomers; Aggregate the past teaching method monomers under the same past teaching goal monomer to obtain a past teaching method monomer set; A teaching achievement monomer is configured for the past teaching method monomer in the past teaching method monomer concentration.
5. The method for disassembling structured teaching objectives according to claim 4, characterized in that: The specific content of the strategy layer of the corresponding teaching objectives of the initial teaching framework, which supplements past teaching methods and past teaching results according to past teaching objectives, is as follows: Extract the semantic features of past teaching objectives, match the semantic features of past teaching objectives with the semantic features of standard teaching objectives to obtain the teaching objective correspondence rules; Evaluate past teaching achievement entities to obtain teaching achievement evaluation values; Sort the teaching achievements from high to low according to the teaching achievement evaluation values, and select the past teaching method monomers corresponding to the teaching achievement evaluation values in the top one-third of the order to form a qualified teaching method monomer set; Based on the teaching objective correspondence rules, the qualified teaching method monomer set is added to the strategy layer of the corresponding teaching objectives of the initial teaching framework.
6. The method for disassembling structured teaching objectives according to claim 5, characterized in that: The specific contents of the teaching achievement evaluation value obtained by evaluating the past teaching achievement monomers are as follows: The number of students violating the rules is obtained by performing image expression feature recognition on the performance of the first student in the past teaching results monomer, and the decibel value of the violation noise is obtained by performing voice recognition on the performance of the first student in the past teaching results monomer; The achievement score is obtained by performing statistics on the second student's performance paper in the past teaching achievement monomer; The number of students violating the rules is obtained by performing image expression feature recognition on the first student in the past teaching results; The number of students violating the rules d, the decibel value of the illegal noise F, and the achievement score H are respectively configured with weight conversion coefficients to obtain the teaching achievement evaluation value; The expression of teaching achievement evaluation value is: Among them, γ, α, and β are the weight conversion coefficients of the number of students violating the rules d, the decibel value of the violation noise F, and the achievement score H, respectively.
7. The method for disassembling structured teaching objectives according to claim 6, characterized in that: In the process of obtaining the current teaching objectives and student personality, and breaking down the teaching objectives according to the initial teaching framework to obtain a structured teaching plan: According to the initial teaching framework, the teaching objectives are disassembled to obtain a structured teaching plan and the strategies at the strategy layer corresponding to the teaching objectives are configured as teaching strategies for implementation; During the teaching process, students are statistically divided according to their personalities and the current teaching results are evaluated periodically; If the current teaching results are lower than the past teaching results, adjust the teaching strategy in time; If the current teaching results are higher than the previous teaching results, the student's personality will be marked in the teaching strategy for subsequent updating and iteration of the teaching strategy based on the teaching objectives and student personality.
8. A disassembly system for structured teaching objectives, characterized by: include: Data collection unit: acquires teaching content, performs semantic analysis on the teaching content to obtain attribute segments and logical relationships, wherein the attribute segments include entity semantics and action semantics; Initial framework construction unit: Builds a knowledge graph based on attribute fragments and logical relationships, and generates 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 a mapping relationship between past teaching objectives, past teaching methods and past teaching results. Based on the past teaching objectives, the past teaching methods and past teaching results are added to the strategy layer of the corresponding teaching objectives of the initial teaching framework; Structured teaching plan matching unit: obtain the current teaching objectives, and break down the teaching objectives according to the initial teaching framework to obtain a structured teaching plan.
9. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the processor calls the computer program in the memory, the method realizes the content of the disassembly method of the structured teaching objective as claimed in any one of claims 1 to 7.
10. 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 method for disassembling structured teaching objectives as described in any one of claims 1 to 7.
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