Civil aviation practical teaching intelligent adaptive analysis system based on knowledge graph

Abstract

The invention discloses a knowledge graph-based civil aviation practice teaching intelligent adaptive analysis system, and particularly relates to the technical field of knowledge graphs, and the system comprises a knowledge graph construction module, a learner model module, an intelligent recommendation module, a teaching effect evaluation module, an adaptive learning module and a man-machine interaction module. A civil aviation practice first key information text is collected through a knowledge graph construction module, and a civil aviation practice knowledge graph is constructed. And a second civil aviation practice key information value is obtained through the learner model module, and a learner model is constructed. And a third civil aviation practice key information value is obtained through the intelligent recommendation module. A fourth civil aviation practice key information value is obtained through a teaching effect evaluation module; the adaptive learning module is used for establishing an adaptive learning model and dynamically adjusting civil aviation practical teaching contents; the man-machine interaction module is used for providing a visual interface, displaying civil aviation practice content in real time, and improving timeliness and comprehensiveness of civil aviation practice teaching.

Description

Technical Field

[0001] The present invention relates to the field of knowledge graph technology, and more specifically, to an intelligent adaptive analysis system for civil aviation practical teaching based on knowledge graph. Background Art

[0002] With the rapid development of the civil aviation industry, the demand for professional talents is growing, and at the same time, higher requirements are placed on the knowledge structure and skill level of talents. Traditional civil aviation practical teaching often focuses on the inculcation of theoretical knowledge and the operation of simple skills, which is difficult to meet the current industry's demand for compound and innovative talents. As a new type of knowledge representation and management technology, knowledge graphs can efficiently organize and mine massive amounts of knowledge information, providing strong support for intelligent education. With the rapid development of technologies such as artificial intelligence and big data, intelligent adaptive analysis systems based on knowledge graphs have been realized and can be continuously optimized and improved.

[0003] The traditional intelligent adaptive analysis system for civil aviation practical teaching includes data acquisition module, data analysis module, intelligent recommendation module, teaching effect evaluation module and adaptive learning module. The data acquisition module is responsible for collecting various data in the process of civil aviation practical teaching; the data analysis module is used to process and analyze the collected data; the intelligent recommendation module is used to provide students with personalized learning resources and suggestions based on the analysis results; the teaching effect evaluation module evaluates the effect of practical teaching; and the adaptive learning module is used to dynamically adjust the teaching content and difficulty according to the students' learning progress and ability. It effectively improves teaching efficiency and quality, enhances the effect of practical teaching, and promotes teaching innovation and reform as well as adaptability and scalability.

[0004] However, in actual use, it still has some shortcomings, such as the collected data is not comprehensive enough. The parameters collected by the traditional civil aviation practical teaching intelligent adaptive analysis system for evaluating the civil aviation practical teaching effect are not comprehensive enough, and cannot accurately reflect the real teaching effect of civil aviation practice, resulting in inaccurate subsequent adjustments; it cannot intuitively display the civil aviation practical teaching results, and cannot effectively and timely transmit the civil aviation practical teaching results of the civil aviation practical teaching intelligent adaptive analysis system. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an intelligent adaptive analysis system for civil aviation practical teaching based on knowledge graph, which solves the problems raised in the above-mentioned background technology through the following scheme.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a knowledge graph-based intelligent adaptive analysis system for civil aviation practical teaching, comprising a system operation database, a system central processor and a user information terminal, and also comprising: a knowledge graph construction module, a learner model module, an intelligent recommendation module, a teaching effect evaluation module, an adaptive learning module and a human-computer interaction module; The system operation database includes all data information of the civil aviation practical teaching intelligent adaptive analysis system, and collects data information output by each module in real time; the system central processor is used to centrally control the information text instructions output by each module; the user information terminal is an information output device for receiving the civil aviation practical teaching intelligent adaptive analysis system; The knowledge graph construction module is used to collect the first key information text of civil aviation practice, and perform data processing and analysis on it to obtain the first key information value of civil aviation practice, and construct the civil aviation practice knowledge graph; The first key information value of civil aviation practice is obtained by performing data integration processing on the first key information text of civil aviation practice; The learner model module collects the second key information text of civil aviation practice, obtains the second key information value of civil aviation practice, and constructs a learner model; The second key information value of civil aviation practice is obtained by performing data integration processing on the second key information text of civil aviation practice; The intelligent recommendation module is used to obtain a third key information value of civil aviation practice according to the first key information value of civil aviation practice and the second key information value of civil aviation practice; The third key information value of civil aviation practice includes the learner's learning stage time, number of tasks and learning feedback frequency; The teaching effect evaluation module is used to evaluate the teaching effect of civil aviation practice, including a parameter collection unit, a data analysis unit, a comprehensive analysis unit and a judgment unit, and obtains the fourth key information value of civil aviation practice; The fourth key information value of civil aviation practice specifically refers to the evaluation level of civil aviation practice teaching effect; The adaptive learning module is used to establish an adaptive learning model, combining the fourth key information value of civil aviation practice with the third key information value of civil aviation practice, and dynamically adjusting the teaching content of civil aviation practice; The human-computer interaction module is used to provide a visual interface, display the teaching content, teaching progress and teaching results of civil aviation practice in real time, and transmit them to the user information terminal.

[0007] Preferably, the first key information text of civil aviation practice is civil aviation practice teaching information, specifically including teaching resources and practice projects, wherein the teaching resources specifically include videos, micro-courses, lesson plans, study plans and courseware, and the practice projects specifically include the name, content, time and location information of the civil aviation practice projects in which the learners participate.

[0008] Preferably, obtaining the first key information value of civil aviation practice requires integrating the first key information text of civil aviation practice to form a unified data set; performing data cleaning and conversion on the data set and performing data formatting and structuring to obtain the first key information value of civil aviation practice; constructing a civil aviation practice knowledge graph requires selecting a knowledge representation method and data modeling technology based on the obtained first key information value of civil aviation practice, and performing knowledge extraction and fusion; using knowledge calculation and reasoning methods to perform further analysis to obtain a civil aviation practice knowledge graph.

[0009] Preferably, the second key information text of civil aviation practice is learner information, specifically including learner basic information, learner knowledge level, learner cognitive ability and learning interest preference; building a learner model requires collecting enough learner information.

[0010] Preferably, the intelligent recommendation module performs adaptive analysis based on the obtained civil aviation practice knowledge graph and learner model to recommend appropriate learning stage time, number of tasks and learning feedback frequency, i.e., the third key information value of civil aviation practice, to learners.

[0011] Preferably, the parameter collection unit is used to collect student performance parameters, project outcome parameters and teaching process parameters. The student performance parameters specifically include accuracy, knowledge coverage, learning progress percentage and task completion, which are marked as η1, η2, η3 and η4 respectively; the project outcome parameters specifically include task completion ratio, outcome submission rate, outcome completeness and number of innovation points, which are marked as η5, η6, η7 and n1 respectively; the teaching process parameters specifically include knowledge graph application frequency, online learning resource visits and teaching resource utilization rate, which are marked as f, n2 and η8 respectively.

[0012] Preferably, the data analysis unit is used to establish a data analysis model, import student performance parameters, project achievement parameters and teaching process parameters into the data analysis model, calculate the student performance evaluation value, project achievement evaluation value and teaching process evaluation value, and the student performance evaluation value is specifically expressed as: , y1 represents the student performance evaluation value of the intelligent adaptive analysis system for civil aviation practical teaching. The information of n learners is collected as samples, which are marked as 1, 2, ..., i, ..., n, η respectively. 1i represents the accuracy rate of the i-th learner, η 2i represents the knowledge coverage of the i-th learner, η 3i represents the learning progress percentage of the i-th learner, η 4irepresents the task completion of the i-th learner, a1, a2, a3 and a4 represent the influence coefficients of accuracy, knowledge coverage, learning progress percentage and task completion on the student performance evaluation value respectively; the project outcome evaluation value is specifically expressed as: , y2 represents the project achievement evaluation value of the intelligent adaptive analysis system for civil aviation practical teaching. k project information is collected as samples and marked as 1, 2, ..., j, ..., k, η respectively. 5j represents the task completion rate of the jth project, η 6j represents the result submission rate of the jth project, η 7j Indicates the completeness of the results of the jth project, n 1j represents the number of innovation points of the jth project, b1, b2, b3 and b4 represent the influence coefficients of task completion rate, result submission rate, result completeness and number of innovation points on the project result evaluation value respectively; the teaching process evaluation value is specifically expressed as: , y3 represents the teaching process evaluation value of the civil aviation practical teaching intelligent adaptive analysis system, f represents the application frequency of the knowledge graph of the civil aviation practical teaching intelligent adaptive analysis system, n2 represents the number of visits to online learning resources of the civil aviation practical teaching intelligent adaptive analysis system, η8 represents the teaching resource utilization rate of the civil aviation practical teaching intelligent adaptive analysis system, c1, c2 and c3 represent the influence coefficients of the knowledge graph application frequency, the number of visits to online learning resources and the teaching resource utilization rate on the teaching process evaluation value respectively.

[0013] Preferably, the comprehensive analysis unit is used to establish a comprehensive analysis model, and import the student performance evaluation value, the project achievement evaluation value and the teaching process evaluation value into the comprehensive analysis model to calculate the civil aviation practical teaching effect evaluation value, which is specifically expressed as: , φ represents the evaluation value of civil aviation practical teaching effect of intelligent adaptive analysis system for civil aviation practical teaching, y1 represents the evaluation value of student performance of intelligent adaptive analysis system for civil aviation practical teaching, y2 represents the evaluation value of project achievement of intelligent adaptive analysis system for civil aviation practical teaching, y3 represents the evaluation value of teaching process of intelligent adaptive analysis system for civil aviation practical teaching, y 1标 represents the student performance evaluation standard value of the civil aviation practical teaching intelligent adaptive analysis system, y 2标 represents the project achievement evaluation standard value of the civil aviation practical teaching intelligent adaptive analysis system, y 3标 It represents the teaching process evaluation standard value of the intelligent adaptive analysis system for civil aviation practical teaching.

[0014] Preferably, the early warning unit is used to construct a civil aviation practical teaching effect evaluation standard value, including three levels, namely φ1, φ2 and φ3, and compare the obtained civil aviation practical teaching effect evaluation value with the civil aviation practical teaching effect evaluation standard value to judge the civil aviation practical teaching effect of the civil aviation practical teaching intelligent adaptive analysis system, that is, the fourth key information value of civil aviation practice.

[0015] Preferably, the adaptive learning model associates the fourth key information value of civil aviation practice with the third key information value of civil aviation practice based on the obtained fourth key information value of civil aviation practice, and dynamically adjusts the learner's learning stage time, number of tasks and learning feedback frequency according to the feedback effect of practical learning.

[0016] Technical effects and advantages of the present invention: The present invention collects student performance parameters, project achievement parameters and teaching process parameters through the parameter collection unit of the teaching effect evaluation module, and collects parameters for evaluating the teaching effect of civil aviation practice in a relatively comprehensive manner by sampling multiple groups of learner data and project data as samples, accurately and effectively reflecting the real teaching effect of civil aviation practice, and providing strong data support for the subsequent dynamic adjustment of learners' learning stage time, task quantity and learning feedback frequency; The present invention performs data processing and analysis through a data analysis unit of a teaching effect evaluation module to obtain a student performance evaluation value, a project achievement evaluation value and a teaching process evaluation value, obtains a civil aviation practice teaching effect evaluation value through a comprehensive analysis unit and a judgment unit, and constructs a civil aviation practice teaching effect evaluation standard value to judge the civil aviation practice teaching effect of a civil aviation practice teaching intelligent adaptive analysis system, and accurately displays the teaching content, teaching progress and teaching achievements of the civil aviation practice through a human-computer interaction module, thereby improving the efficiency and timeliness of the civil aviation practice teaching intelligent adaptive analysis system. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a schematic diagram of the system structure of the present invention.

[0018] Figure 2 It is a schematic structural diagram of the electronic device of the present invention.

[0019] Figure 3 It is a step diagram for judging the effect of civil aviation practical teaching of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] As attached Figure 1 The shown system is an intelligent adaptive analysis system for civil aviation practical teaching based on knowledge graph, including a system operation database, a system central processing unit and a user information terminal, and also includes a knowledge graph construction module, a learner model module, an intelligent recommendation module, a teaching effect evaluation module, an adaptive learning module and a human-computer interaction module.

[0022] The output end of the knowledge graph construction module is connected to the input end of the learner model module, the output end of the learner model module is connected to the input end of the intelligent recommendation module, the output end of the intelligent recommendation module is connected to the input end of the teaching effect evaluation module, the output end of the teaching effect evaluation module is connected to the input end of the adaptive learning module, the output end of the adaptive learning module is connected to the input end of the human-computer interaction module, the output end of the system central processing unit is connected to the input end of each module, and the output end of each module is connected to the input end of the system operation database.

[0023] The system operation database includes all data information of the civil aviation practical teaching intelligent adaptive analysis system, and collects data information output by each module in real time; the system central processor is used to control the information text instructions output by each module; the user information terminal is an information output device for receiving the civil aviation practical teaching intelligent adaptive analysis system.

[0024] Knowledge graph construction module: collect the first key information text of civil aviation practice, perform data processing and analysis on it to obtain the first key information value of civil aviation practice, and construct a civil aviation practice knowledge graph.

[0025] Furthermore, the first key information text of civil aviation practice is civil aviation practice teaching information, which specifically includes teaching resources and practice projects, among which the teaching resources specifically include videos, micro-courses, lesson plans, study plans and courseware, and the practice projects specifically include the name, content, time and location information of the civil aviation practice projects in which the learners participate.

[0026] Furthermore, obtaining the first key information value of civil aviation practice requires integrating the first key information text of civil aviation practice to form a unified data set; performing data cleaning and conversion on the data set and performing data formatting and structuring to obtain the first key information value of civil aviation practice; constructing a civil aviation practice knowledge graph requires selecting knowledge representation methods and data modeling techniques based on the obtained first key information value of civil aviation practice, and performing knowledge extraction and fusion; using knowledge calculation and reasoning methods to perform further analysis to obtain a civil aviation practice knowledge graph.

[0027] What needs to be specifically explained in this embodiment is that the teaching resources should cover all aspects of the civil aviation field to meet the different needs of learners; the practical projects record the name, content, time, location and other information of the civil aviation practical projects in which the learners participate, so as to systematically analyze the learners' practical experience and skill level.

[0028] What needs to be specifically explained in this embodiment is that the knowledge representation method and data modeling technology selected in constructing the civil aviation practice knowledge graph can collect the logic layer, storage layer and computing layer to construct the knowledge graph; knowledge extraction includes entity extraction, identifying named entities in the text, such as names of people, places, and institutions, etc.; attribute extraction, extracting attribute information of entities, such as the model of the aircraft, the take-off time of the flight, etc.; relationship extraction, identifying the association relationship between entities, such as the take-off and landing relationship between flights and airports, the participation relationship between students and practical projects, etc.

[0029] Learner model module: collect the second key information text of civil aviation practice, obtain the second key information value of civil aviation practice, and build a learner model.

[0030] Furthermore, the second key information text of civil aviation practice is learner information, which specifically includes learner basic information, learner knowledge level, learner cognitive ability and learning interest preference; building a learner model requires collecting enough learner information.

[0031] What needs to be specifically explained in this embodiment is that the learner model should include basic information management, learning style analysis, knowledge level assessment, cognitive ability analysis and interest preference analysis. Basic information management is used to store and manage learners' basic information, such as name, age, major, etc.; learning style analysis is used to analyze and evaluate learners' learning styles using tools such as scales or questionnaires, so as to provide a basis for subsequent learning path recommendations and resource recommendations; knowledge level assessment evaluates learners' knowledge levels through tests or exercises to understand their mastery of civil aviation knowledge; cognitive ability analysis analyzes learners' cognitive abilities, including observation, abstraction, induction, memory, analysis, calculation and imagination, etc., in order to recommend appropriate learning strategies for them; interest preference analysis analyzes learners' interest preferences through their habits, preferences and tendencies shown in the learning process, so as to recommend learning content and learning resources of interest to them.

[0032] Intelligent recommendation module: according to the first key information value of civil aviation practice and the second key information value of civil aviation practice, the third key information value of civil aviation practice is obtained.

[0033] Furthermore, the intelligent recommendation module performs adaptive analysis based on the obtained civil aviation practice knowledge graph and learner model to recommend appropriate learning stage time, number of tasks, and learning feedback frequency for learners, which is the third key information value of civil aviation practice.

[0034] What needs to be specifically explained in this embodiment is that the learning stage is divided into a theoretical basis learning stage, a professional skills learning stage, and an innovative practice stage. The theoretical basis learning stage mainly cultivates students' professional basic knowledge and studies the core courses of civil aviation regulations, civil aviation transportation, civil aviation safety management, civil aviation communications, and civil aviation meteorology; the professional skills learning stage includes professional course experiments and professional internships, which deepen the understanding of theoretical knowledge through experiments and preliminarily master relevant practical operation skills; the innovative practice stage includes comprehensive practice and innovative practice, which comprehensively applies the knowledge and skills learned to solve practical problems and improve comprehensive and innovative abilities. The number of tasks refers to the total number of practical links provided to students in the practical teaching system according to the teaching plan, syllabus, and teaching requirements; the learning feedback frequency refers to the number and time interval of students submitting learning feedback to teachers or learning platforms, so that teachers can grasp students' learning situation in a timely manner.

[0035] Teaching effect evaluation module: evaluates the teaching effect of civil aviation practice, including parameter collection unit, data analysis unit, comprehensive analysis unit and judgment unit, and obtains the fourth key information value of civil aviation practice.

[0036] Furthermore, the parameter collection unit is used to collect student performance parameters, project achievement parameters and teaching process parameters. The student performance parameters specifically include accuracy, knowledge coverage, learning progress percentage and task completion, which are marked as η1, η2, η3 and η4 respectively; the project achievement parameters specifically include task completion ratio, achievement submission rate, achievement completeness and number of innovation points, which are marked as η5, η6, η7 and n1 respectively; the teaching process parameters specifically include knowledge graph application frequency, online learning resource visits and teaching resource utilization rate, which are marked as f, n2 and η8 respectively.

[0037] Furthermore, the data analysis unit is used to establish a data analysis model, import student performance parameters, project achievement parameters and teaching process parameters into the data analysis model, and calculate the student performance evaluation value, project achievement evaluation value and teaching process evaluation value. The student performance evaluation value is specifically expressed as: , y1 represents the student performance evaluation value of the intelligent adaptive analysis system for civil aviation practical teaching. The information of n learners is collected as samples, which are marked as 1, 2, ..., i, ..., n, η respectively. 1i represents the accuracy rate of the i-th learner, η 2i represents the knowledge coverage of the i-th learner, η 3i represents the learning progress percentage of the i-th learner, η 4irepresents the task completion of the i-th learner, a1, a2, a3 and a4 represent the influence coefficients of accuracy, knowledge coverage, learning progress percentage and task completion on the student performance evaluation value respectively; the project outcome evaluation value is specifically expressed as: , y2 represents the project achievement evaluation value of the intelligent adaptive analysis system for civil aviation practical teaching. k project information is collected as samples and marked as 1, 2, ..., j, ..., k, η respectively. 5j represents the task completion rate of the jth project, η 6j represents the result submission rate of the jth project, η 7j Indicates the completeness of the results of the jth project, n 1j represents the number of innovation points of the jth project, b1, b2, b3 and b4 represent the influence coefficients of task completion rate, result submission rate, result completeness and number of innovation points on the project result evaluation value respectively; the teaching process evaluation value is specifically expressed as: , y3 represents the teaching process evaluation value of the civil aviation practical teaching intelligent adaptive analysis system, f represents the application frequency of the knowledge graph of the civil aviation practical teaching intelligent adaptive analysis system, n2 represents the number of visits to online learning resources of the civil aviation practical teaching intelligent adaptive analysis system, η8 represents the teaching resource utilization rate of the civil aviation practical teaching intelligent adaptive analysis system, c1, c2 and c3 represent the influence coefficients of the knowledge graph application frequency, the number of visits to online learning resources and the teaching resource utilization rate on the teaching process evaluation value respectively.

[0038] Furthermore, the comprehensive analysis unit is used to establish a comprehensive analysis model, and the student performance evaluation value, project achievement evaluation value and teaching process evaluation value are imported into the comprehensive analysis model to calculate the civil aviation practical teaching effect evaluation value, which is specifically expressed as: , φ represents the evaluation value of civil aviation practical teaching effect of intelligent adaptive analysis system for civil aviation practical teaching, y1 represents the evaluation value of student performance of intelligent adaptive analysis system for civil aviation practical teaching, y2 represents the evaluation value of project achievement of intelligent adaptive analysis system for civil aviation practical teaching, y3 represents the evaluation value of teaching process of intelligent adaptive analysis system for civil aviation practical teaching, y 1标 represents the student performance evaluation standard value of the civil aviation practical teaching intelligent adaptive analysis system, y 2标 represents the project achievement evaluation standard value of the civil aviation practical teaching intelligent adaptive analysis system, y 3标 It represents the teaching process evaluation standard value of the intelligent adaptive analysis system for civil aviation practical teaching.

[0039] Furthermore, the early warning unit is used to construct a standard value for evaluating the effectiveness of civil aviation practical teaching, including three levels, namely φ1, φ2 and φ3. The obtained civil aviation practical teaching effect evaluation value is compared with the civil aviation practical teaching effect evaluation standard value to judge the civil aviation practical teaching effect of the civil aviation practical teaching intelligent adaptive analysis system, that is, the fourth key information value of civil aviation practice.

[0040] In this embodiment, it should be specifically explained that when φ>φ3, it means that the civil aviation practical teaching effect evaluation value of the civil aviation practical teaching intelligent adaptive analysis system is greater than the third-level civil aviation practical teaching effect evaluation standard value, indicating that the civil aviation practical teaching effect of the civil aviation practical teaching intelligent adaptive analysis system is at an excellent level; when φ2≤φ≤φ3, it means that the civil aviation practical teaching effect evaluation value of the civil aviation practical teaching intelligent adaptive analysis system is greater than the second-level civil aviation practical teaching effect evaluation standard value and less than the third-level civil aviation practical teaching effect evaluation standard value, indicating that the civil aviation practical teaching effect of the civil aviation practical teaching intelligent adaptive analysis system is excellent. The result belongs to the qualified level; when φ1≤φ<φ2, it means that the civil aviation practical teaching effect evaluation value of the civil aviation practical teaching intelligent adaptive analysis system is greater than the first-level civil aviation practical teaching effect evaluation standard value and less than the second-level civil aviation practical teaching effect evaluation standard value, indicating that the civil aviation practical teaching effect of the civil aviation practical teaching intelligent adaptive analysis system is unqualified; when φ<φ1, it means that the civil aviation practical teaching effect evaluation value of the civil aviation practical teaching intelligent adaptive analysis system is less than the first-level civil aviation practical teaching effect evaluation standard value, indicating that the civil aviation practical teaching effect of the civil aviation practical teaching intelligent adaptive analysis system is seriously unqualified.

[0041] Adaptive learning module: Establish an adaptive learning model, combine the fourth key information value of civil aviation practice with the third key information value of civil aviation practice, and dynamically adjust the civil aviation practice teaching content.

[0042] Furthermore, the adaptive learning model associates the fourth key information value of civil aviation practice with the third key information value of civil aviation practice based on the obtained fourth key information value of civil aviation practice, and dynamically adjusts the learner's learning stage time, number of tasks and learning feedback frequency according to the feedback effect of practical learning.

[0043] What needs to be specifically explained in this embodiment is that according to the evaluation results of the civil aviation practical teaching effect, when the civil aviation practical teaching effect is at an excellent level, no adjustment is required; when the civil aviation practical teaching effect is at a qualified level, the innovative practice stage time in the learning stage time is appropriately strengthened, and the number of tasks is appropriately increased; when the civil aviation practical teaching effect is at an unqualified level, the professional skills learning stage and the innovative practice stage time in the learning stage time are strengthened, the number of tasks is increased, and the frequency of learning feedback is increased; when the civil aviation practical teaching effect is seriously unqualified, the theoretical basis learning stage, professional skills learning stage and innovative practice stage time in the learning stage time are strengthened, the progress of task completion is followed up to adjust the number of tasks, and the frequency of learning feedback is increased.

[0044] Human-computer interaction module: provides a visual interface to display the teaching content, teaching progress and teaching results of civil aviation practice in real time, and transmit them to the user information terminal.

[0045] What needs to be specifically explained in this embodiment is that the menu bar of the visualization interface provides user navigation and setting options, including file operations, view control, and import and export of files; the toolbar includes commonly used tool buttons, which facilitate users to interact with the interface, and display the teaching content, teaching progress and teaching results of civil aviation practice in real time, including the first key information value of civil aviation practice, the second key information value of civil aviation practice, the third key information value of civil aviation practice, and the fourth key information value of civil aviation practice.

[0046] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other; Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent adaptive analysis system for civil aviation practical teaching based on knowledge graph, including a system operation database, a system central processor and a user information terminal, characterized in that: Also includes: Knowledge graph construction module, learner model module, intelligent recommendation module, teaching effect evaluation module, adaptive learning module and human-computer interaction module; The system operation database includes all data information of the civil aviation practical teaching intelligent adaptive analysis system, and collects data information output by each module in real time; The system central processor is used to control the information text instructions output by each module; the user information terminal is an information output device for receiving the civil aviation practical teaching intelligent adaptive analysis system; The knowledge graph construction module is used to collect the first key information text of civil aviation practice, and perform data processing and analysis on it to obtain the first key information value of civil aviation practice, and construct the civil aviation practice knowledge graph; The first key information value of civil aviation practice is obtained by performing data integration processing on the first key information text of civil aviation practice; The learner model module collects the second key information text of civil aviation practice, obtains the second key information value of civil aviation practice, and constructs a learner model; The second key information value of civil aviation practice is obtained by performing data integration processing on the second key information text of civil aviation practice; The intelligent recommendation module is used to obtain a third key information value of civil aviation practice according to the first key information value of civil aviation practice and the second key information value of civil aviation practice; The third key information value of civil aviation practice includes the learner's learning stage time, number of tasks and learning feedback frequency; The teaching effect evaluation module is used to evaluate the teaching effect of civil aviation practice, including a parameter collection unit, a data analysis unit, a comprehensive analysis unit and a judgment unit, and obtains the fourth key information value of civil aviation practice; The fourth key information value of civil aviation practice specifically refers to the evaluation level of civil aviation practice teaching effect; The adaptive learning module is used to establish an adaptive learning model, combining the fourth key information value of civil aviation practice with the third key information value of civil aviation practice, and dynamically adjusting the teaching content of civil aviation practice; The human-computer interaction module is used to provide a visual interface, display the teaching content, teaching progress and teaching results of civil aviation practice in real time, and transmit them to the user information terminal.

2. According to claim 1, a knowledge graph-based intelligent adaptive analysis system for civil aviation practical teaching is characterized by: The first key information text of civil aviation practice is civil aviation practice teaching information, which specifically includes teaching resources and practice projects, among which teaching resources specifically include videos, micro-courses, lesson plans, study plans and courseware, and practice projects specifically include the name, content, time and location information of the civil aviation practice projects in which learners participate.

3. According to claim 1, a knowledge graph-based intelligent adaptive analysis system for civil aviation practical teaching is characterized by: The obtaining of the first key information value of civil aviation practice requires integrating the first key information text of civil aviation practice to form a unified data set; cleaning and converting the data set and formatting and structuring the data to obtain the first key information value of civil aviation practice; To construct the civil aviation practice knowledge graph, it is necessary to select the knowledge representation method and data modeling technology according to the first key information value of civil aviation practice, and perform knowledge extraction and fusion; further analysis is performed using knowledge calculation and reasoning methods to obtain the civil aviation practice knowledge graph.

4. According to claim 1, a knowledge graph-based intelligent adaptive analysis system for civil aviation practical teaching is characterized by: The second key information text of the civil aviation practice is the learner information, which specifically includes the learner's basic information, the learner's knowledge level, the learner's cognitive ability, and the learning interest preference; building a learner model requires collecting enough learner information.

5. According to claim 1, a knowledge graph-based intelligent adaptive analysis system for civil aviation practical teaching, characterized in that: The intelligent recommendation module performs adaptive analysis based on the obtained civil aviation practice knowledge graph and learner model to recommend appropriate learning stage time, task quantity and learning feedback frequency, i.e., the third key information value of civil aviation practice, to learners.

6. According to claim 1, a knowledge graph-based intelligent adaptive analysis system for civil aviation practical teaching is characterized by: The parameter collection unit is used to collect student performance parameters, project achievement parameters and teaching process parameters. The student performance parameters specifically include accuracy, knowledge coverage, learning progress percentage and task completion, which are marked as η1, η2, η3 and η4 respectively; the project achievement parameters specifically include task completion ratio, achievement submission rate, achievement completeness and number of innovation points, which are marked as η5, η6, η7 and n1 respectively; the teaching process parameters specifically include knowledge graph application frequency, online learning resource visits and teaching resource utilization rate, which are marked as f, n2 and η8 respectively.

7. According to claim 1, a knowledge graph-based intelligent adaptive analysis system for civil aviation practical teaching is characterized by: The data analysis unit is used to establish a data analysis model, import student performance parameters, project achievement parameters and teaching process parameters into the data analysis model, calculate the student performance evaluation value, project achievement evaluation value and teaching process evaluation value, and the student performance evaluation value is specifically expressed as: ， y1 represents the student performance evaluation value of the intelligent adaptive analysis system for civil aviation practical teaching. The information of n learners is collected as samples, which are marked as 1, 2, ..., i, ..., n, η respectively. 1i represents the accuracy rate of the i-th learner, η 2i represents the knowledge coverage of the i-th learner, η 3i represents the learning progress percentage of the i-th learner, η 4i represents the task completion of the i-th learner, a1, a2, a3 and a4 represent the influence coefficients of accuracy, knowledge coverage, learning progress percentage and task completion on the student performance evaluation value respectively; the project outcome evaluation value is specifically expressed as: ， y2 represents the project achievement evaluation value of the intelligent adaptive analysis system for civil aviation practical teaching. k project information is collected as samples and marked as 1, 2, ..., j, ..., k, η respectively. 5j represents the task completion rate of the jth project, η 6j represents the result submission rate of the jth project, η 7j Indicates the completeness of the results of the jth project, n 1j represents the number of innovation points of the jth project, b1, b2, b3 and b4 represent the influence coefficients of task completion rate, result submission rate, result completeness and number of innovation points on the project result evaluation value respectively; the teaching process evaluation value is specifically expressed as: ， y3 represents the teaching process evaluation value of the civil aviation practical teaching intelligent adaptive analysis system, f represents the application frequency of the knowledge graph of the civil aviation practical teaching intelligent adaptive analysis system, n2 represents the number of visits to online learning resources of the civil aviation practical teaching intelligent adaptive analysis system, η8 represents the teaching resource utilization rate of the civil aviation practical teaching intelligent adaptive analysis system, c1, c2 and c3 represent the influence coefficients of the knowledge graph application frequency, the number of visits to online learning resources and the teaching resource utilization rate on the teaching process evaluation value respectively.

8. The intelligent adaptive analysis system for civil aviation practical teaching based on knowledge graph according to claim 1 is characterized by: The comprehensive analysis unit is used to establish a comprehensive analysis model, and import the student performance evaluation value, the project achievement evaluation value and the teaching process evaluation value into the comprehensive analysis model to calculate the civil aviation practical teaching effect evaluation value, which is specifically expressed as: ， φ represents the evaluation value of civil aviation practical teaching effect of intelligent adaptive analysis system for civil aviation practical teaching, y1 represents the evaluation value of student performance of intelligent adaptive analysis system for civil aviation practical teaching, y2 represents the evaluation value of project achievement of intelligent adaptive analysis system for civil aviation practical teaching, y3 represents the evaluation value of teaching process of intelligent adaptive analysis system for civil aviation practical teaching, y 1标 represents the student performance evaluation standard value of the civil aviation practical teaching intelligent adaptive analysis system, y 2标 represents the project achievement evaluation standard value of the civil aviation practical teaching intelligent adaptive analysis system, y 3标 It represents the teaching process evaluation standard value of the intelligent adaptive analysis system for civil aviation practical teaching.

9. The intelligent adaptive analysis system for civil aviation practical teaching based on knowledge graph according to claim 1 is characterized by: The judgment unit is used to construct a civil aviation practical teaching effect evaluation standard value, including three levels, namely φ1, φ2 and φ3. The obtained civil aviation practical teaching effect evaluation value is compared with the civil aviation practical teaching effect evaluation standard value to judge the civil aviation practical teaching effect of the civil aviation practical teaching intelligent adaptive analysis system, that is, the fourth key information value of civil aviation practice.

10. The intelligent adaptive analysis system for civil aviation practical teaching based on knowledge graph according to claim 1 is characterized by: The adaptive learning model is based on the obtained fourth key information value of civil aviation practice, associates it with the third key information value of civil aviation practice, and dynamically adjusts the learner's learning stage time, task quantity and learning feedback frequency according to the feedback effect of practical learning.

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