Applicative education quality assessment method and system for application education

Abstract

The invention relates to the technical field of education evaluation, in particular to an external adaptability education quality evaluation method and system for application education. The method comprises the following steps: firstly, analyzing relevance between theoretical knowledge class hours and action practice content class hours in a teaching scheme of each application education teacher, determining action logic degree values of the teaching schemes, classifying the teaching schemes based on the action logic degree values to obtain a plurality of scheme clusters, and determining an initial score of each scheme cluster; analyzing the inclusion relation among the titles of the learning situation, the learning work task and the typical work link arranged in each class hour to obtain an inclusion relation value, determining the matching degree of the class hour and the work process corresponding to the teaching scheme, and finally, determining the teaching scheme according to the matching degree, the initial score and the student evaluation score of the class hour corresponding to the teaching scheme. And determining a final education quality score of the teacher of the application teaching. According to the invention, a more accurate external adaptability education quality evaluation result can be obtained.

Description

Technical Field

[0001] The present invention relates to the technical field of education assessment, and in particular to a method and system for assessing the external adaptability of applied education. Background Art

[0002] As an important part of higher education, applied education aims to cultivate students' practical and innovative abilities to meet the needs of social and economic development. The quality assessment of applied education is an important means to ensure the quality of education and improve the effectiveness of education. External education quality assessment refers to the evaluation of education quality from an external perspective, that is, from the perspective of society, industry and employers. This evaluation method pays more attention to the fit between education outcomes and social needs, as well as the actual work performance and career development capabilities of graduates.

[0003] In the traditional external adaptability education quality assessment method of applied education, only the theoretical teaching ability of teachers and the employment rate of students are examined. This method over-focuses on indicators such as teaching results and employment results when evaluating teaching quality, while ignoring the role of teachers in stimulating students' interests, cultivating learning methods and other practical actions in the education process. Summary of the invention

[0004] In order to solve the technical problem that the current education quality assessment method ignores the teacher's practical actions in stimulating students' interests and cultivating learning methods during the education process, the purpose of the present invention is to provide an external adaptive education quality assessment method and system for applied education. The technical scheme adopted is as follows: In a first aspect, an embodiment of the present invention provides a method for evaluating the quality of external adaptability education of applied education, the method comprising: Obtain the teaching plan of each applied education teacher; analyze the correlation between the theoretical knowledge class hours and the action practice content class hours in the teaching plan, and determine the action logic degree value of the teaching plan; Based on the action logic degree values ​​of the teaching plans, the teaching plans are classified to obtain a plurality of plan clusters; the plan clusters are sorted according to the magnitude of the action logic degree values ​​to obtain an initial score for each plan cluster; Extract the titles of the learning situations, learning tasks and typical work links arranged in each class hour in the teaching plan; analyze the inclusion relationship between the titles to obtain the inclusion relationship value; and determine the matching degree of the class hour and the work process corresponding to the teaching plan according to the inclusion relationship value; The final education quality score of the teacher of applied teaching is determined by combining the matching degree, the initial score and the student evaluation score of the class corresponding to the teaching plan.

[0005] Preferably, the analyzing the correlation between the theoretical knowledge hours and the action practice content hours in the teaching plan to determine the action logic degree value of the teaching plan includes: Get the proportion of action practice content in the teaching plan, recorded as the proportion of practice content; Determine a distribution discrete value according to the distribution discreteness of the action practice content class hours; The action logic degree value of the teaching plan is determined according to the proportion of the practical content and the distribution discrete value.

[0006] Preferably, the teaching schemes are classified based on the action logic degree values ​​of the teaching schemes to obtain a plurality of scheme clusters, including: Using the K-means algorithm, the difference between the action logic degree values ​​is taken as the distance between two teaching plans, and the teaching plans are classified to obtain multiple clusters, which are recorded as plan clusters.

[0007] Preferably, the scheme clusters are sorted according to the action logic degree values ​​to obtain an initial score for each scheme cluster, including: Calculate the mean of the action logic degree values ​​of the teaching plans in each plan cluster and record it as the cluster representative value; Sort the solution clusters in ascending order of cluster representative values, and obtain the sequence number corresponding to each solution cluster; According to the position of the sequence number corresponding to each solution cluster, the initial score of each solution cluster is determined.

[0008] Preferably, determining the initial score of each solution cluster according to the position of the sequence number corresponding to each solution cluster includes: The ratio of the sequence number of the current solution cluster to the number of solution clusters is used as the position value of the sequence number; The product of the position value and the preset initial score is used as the initial score of each solution cluster.

[0009] Preferably, analyzing the inclusion relationship between titles to obtain the inclusion relationship value includes: Use Jieba word segmentation tool to segment the title to obtain multiple word segments; perform part-of-speech tagging on each word segment, use pre-trained language model to perform deep language analysis on the word segment, and obtain semantic information of the word segment in the title; compare the semantic information of the word segment between titles through a preset rule library to see whether there is an inclusion relationship between the titles, if there is an inclusion relationship between the titles, the inclusion relationship value is recorded as 1; if there is no inclusion relationship between the titles, the inclusion relationship value is recorded as 0; wherein the title includes the learning situation, learning work task and typical work link title arranged for each class.

[0010] Preferably, determining the matching degree between the class hours and the work process corresponding to the teaching plan according to the inclusion relationship value includes: Taking any learning situation in any class as the target learning situation, obtain the inclusion relationship value between the target learning situation and the next learning situation, which is recorded as the first matching degree; Obtain the average of the negated values ​​of the inclusion relationship values ​​between different learning work tasks and between different typical work links in the target learning situation, and record it as the second matching degree; Combining the first matching degree and the second matching degree to obtain a learning situation matching degree of a target learning situation; Calculate the mean of the learning context matching of the learning contexts in the class hours corresponding to the teaching plan as the matching degree between the class hours corresponding to the teaching plan and the work process.

[0011] Preferably, the combining of the matching degree, the initial score and the student evaluation score of the class corresponding to the teaching plan to determine the final education quality score of the teacher of applied teaching includes: After each teaching session, the ratio of the average student evaluation score of the class hour corresponding to the teaching plan to the full score is obtained, which is recorded as the student comprehensive evaluation value; wherein, each class hour corresponds to one teaching session; Determine the weight of the benchmark score based on the student comprehensive evaluation value and matching degree corresponding to each class hour; The preset benchmark score is weighted by the weight value of the benchmark score to obtain a benchmark score; The sum of the initial score and the benchmark score is taken as the final education quality score.

[0012] Preferably, the weight value of the benchmark score is determined according to the student comprehensive evaluation value and the matching degree corresponding to each class hour, including: Obtain the sum of the student comprehensive evaluation value and the matching degree corresponding to each class hour as the class hour score for each class hour; Take the average of all lesson scores to get the weighted value of the benchmark score.

[0013] In a second aspect, a system for evaluating the quality of applied education is provided, the system comprising the following modules: The data preprocessing module is used to obtain the teaching plan of each applied education teacher; analyze the correlation between the theoretical knowledge class hours and the action practice content class hours in the teaching plan, and determine the action logic degree value of the teaching plan; An initial scoring module is used to classify the teaching schemes based on the action logic degree values ​​of the teaching schemes to obtain multiple scheme clusters; sort the scheme clusters according to the magnitude of the action logic degree values ​​to obtain an initial score for each scheme cluster; The matching degree acquisition module is used to extract the titles of the learning situations, learning work tasks and typical work links arranged in each class in the teaching plan; analyze the inclusion relationship between the titles to obtain the inclusion relationship value; and determine the matching degree of the class and work process corresponding to the teaching plan according to the inclusion relationship value; The final scoring module is used to determine the final education quality score of the teacher of applied teaching by combining the matching degree, the initial score and the student evaluation score of the class corresponding to the teaching plan.

[0014] In a third aspect, an embodiment of the present invention provides an electronic device, including a memory and a processor, wherein the memory stores executable code, and when the processor executes the executable code, various possible embodiments of the first aspect are implemented.

[0015] In a fourth aspect, an embodiment of the present invention provides a computer program product, which includes: a computer program code, which, when executed on a computer, enables the computer to execute the method in the first aspect or any possible implementation of the first aspect.

[0016] In a fifth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, enables the computer to execute various possible implementations of the first aspect.

[0017] The embodiments of the present invention have at least the following beneficial effects: The embodiment of the present invention first analyzes the correlation between the theoretical knowledge class hours and the action practice content class hours in the teaching plan, determines the action logic degree value, so as to realize the classification of the teaching plan and obtain multiple program clusters. In the subsequent steps, the program clusters are analyzed, which can simplify the calculation amount compared with the analysis of a single teaching plan, and then the initial score of the education quality evaluation of each applied teacher is determined by analyzing the distribution of theoretical knowledge and action practice content class hours in the teaching plan of each applied education teacher. According to the matching degree of each class hour and the work process in the teaching plan of each applied teacher, the initial score of the education quality evaluation and the student evaluation are obtained to obtain these three factors, and the final education quality score of the applied teaching teacher is determined. Therefore, the present invention combines the theoretical knowledge and action practice content class hours in the teaching plan, and obtains more accurate external adaptability education quality evaluation results than the existing methods, avoiding ignoring the problem of teachers' action practice in stimulating students' interest and cultivating learning methods in the education process. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 A method flow chart of a method for evaluating the external adaptability education quality of applied education provided by one embodiment of the present invention; Figure 2 A system block diagram of an external adaptive education quality assessment system for applied education provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the following, in combination with the accompanying drawings and preferred embodiments, a method and system for evaluating the quality of external adaptive education of applied education proposed by the present invention, its specific implementation method, structure, characteristics and effects are described in detail as follows.

[0021] In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0022] Among them, in the description of the embodiments of the present invention, unless otherwise specified, " / " means or, for example, A / B can mean A or B: "and / or" in the text is only a way to describe the association relationship of associated objects, indicating that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present invention, "multiple" refers to two or more than two.

[0023] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features.

[0024] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0025] The embodiments of the present invention are described below in conjunction with the accompanying drawings. Those skilled in the art will appreciate that, with the development of technology and the emergence of new scenarios, the technical solutions provided by the embodiments of the present invention are also applicable to similar technical problems.

[0026] The specific scheme of the external adaptability education quality assessment method and system for applied education provided by the present invention is described in detail below with reference to the accompanying drawings.

[0027] See also Figure 1 , which shows a flowchart of a method for evaluating the quality of external adaptability education of applied education provided by an embodiment of the present invention, the method comprising the following steps: Step S100, obtaining the teaching plan of each applied education teacher; analyzing the correlation between the theoretical knowledge class hours and the action practice content class hours in the teaching plan, and determining the action logic degree value of the teaching plan.

[0028] First, the external adaptability education quality evaluation process of applied education is summarized. The teaching plan of applied education teachers is used as the main teaching tool. The higher the quality of the teaching plan, the higher the quality of education imparted in the subsequent teaching process. Therefore, the teaching plan of each applied education teacher is obtained first.

[0029] Assume that there are M teachers of applied education. Each teacher has his or her own teaching plan in the teaching process. Since applied education pays more attention to the cultivation of students' practical ability, innovation ability, etc., the teaching plan of each applied teacher can reflect whether the teacher's teaching is biased towards theoretical teaching or action practice teaching. Therefore, firstly, the professional degree value of each teacher's teaching plan with action logic is calculated based on the teaching plan of each applied education teacher, which is recorded as the action logic degree value of the teaching plan.

[0030] Among them, for the mth applied education teacher, if the teaching plan contains more action practice content, it means that the teacher has higher requirements for practical ability in the teaching process when formulating the teaching plan. At the same time, the stronger the correlation between the theoretical knowledge hours and the action practice content hours in the teaching plan, it means that the teacher pays more attention to the combination of theory and practical operation in the process of setting the teaching plan. The higher the professional degree value of the action logic of the teaching plan.

[0031] Therefore, we further analyze the correlation between theoretical knowledge hours and action practice content hours in the teaching plan to determine the action logic degree value of the teaching plan.

[0032] The method for obtaining the action logic degree value is as follows: obtain the proportion of action practice content class hours in the teaching plan, recorded as the practice content proportion; determine the distribution discrete value according to the distribution discreteness of the action practice content class hours; determine the action logic degree value of the teaching plan according to the practice content proportion and the distribution discrete value.

[0033] Taking the mth applied education teacher as an example, the action logic degree value of the mth applied education teacher is The calculation formula is: ; Among them, norm is the normalization function; The number of hours of practical content for action; is the total number of class hours in the teaching plan; The actual content ratio; is a discrete value distribution.

[0034] In an embodiment of the present invention, the method for obtaining the distribution discrete value is: arrange the classes according to the time sequence in the teaching plan; label the action practice content class 1, label the theoretical knowledge class 0, and obtain the corresponding label sequence. For example, class 1, class 2 and class 3 are arranged in the time sequence in the teaching plan, class 1 and class 3 are action practice content classes, and class 2 is theoretical knowledge class, then the corresponding label sequence is {1,0,1}. In one embodiment of the present invention, the variance of the label sequence can be calculated as the distribution discrete value. In other embodiments, the distribution of the constant 1 in the label sequence can be analyzed in other ways to determine the distribution discrete value. The larger the distribution discrete value, the more uniform the action practice content class, and the higher the professional degree value of the corresponding applied teacher's teaching plan with action logic. The action logic degree value reflects the professional degree value of the teacher to a certain extent.

[0035] Step S200: classify the teaching schemes based on their action logic degree values ​​to obtain a plurality of scheme clusters; sort the scheme clusters according to the action logic degree values ​​to obtain an initial score for each scheme cluster.

[0036] Therefore, the above method can be used to calculate the action logic degree value of each applied education teacher's teaching plan, so as to classify the teaching plan. For example, the K-means clustering algorithm (K-means) can be used to classify the teaching plan based on the action logic degree value. All teachers of applied education are clustered based on the similarities or differences between them.

[0037] The number of clusters K is determined by the silhouette coefficient method, and it is assumed that there are K clusters after clustering is completed. The K-means algorithm is used to classify the teaching plans by taking the difference between the action logic degree values ​​as the distance between the two teaching plans, and multiple clusters are obtained, which are recorded as plan clusters.

[0038] The professional degree values ​​of action logic of the teaching plans of applied education teachers in each plan cluster are relatively similar. The average of the action logic degree values ​​of the teaching plans of all applied teachers in each cluster is taken as the professional degree value of action logic of the teaching plans of each cluster, which is recorded as the cluster representative value. Then all clusters are sorted in order from small to large according to the professional degree value of action logic of the teaching plans.

[0039] That is, the mean value of the action logic degree of the teaching plan in each plan cluster is calculated, which is recorded as the cluster representative value; the plan clusters are sorted in order from small to large according to the cluster representative value, and the serial number corresponding to each plan cluster is obtained; according to the position of the serial number corresponding to each plan cluster, the initial score of each plan cluster is determined. The initial score is the initial score value of the education quality evaluation of the teachers of applied education in each corresponding plan cluster.

[0040] In some embodiments, the method for obtaining the initial score is: taking the ratio of the serial number of the current solution cluster to the number of solution clusters as the position value of the serial number; taking the product of the position value and the preset initial score as the initial score of each solution cluster. In other embodiments of the present invention, the method for obtaining the initial score may also be: taking the ratio of the serial number of the current solution cluster to the number of solution clusters as the position value of the serial number; rounding down the position value and the preset initial score, and taking the result value as the initial score of each solution cluster. In the embodiment of the present invention, the value of the preset initial score is 70. In other embodiments, the implementer may adjust the value according to the actual situation. It should be noted that the sum of the preset initial score and the subsequent preset benchmark score needs to be the full score.

[0041] In some embodiments, taking the nth solution cluster as an example, the initial score of the nth solution cluster is The calculation formula is: ; n is the sequence number of the solution cluster currently being analyzed after the solution clusters are sorted; N is the total number of solution clusters; 70 is the preset initial score; floor is the rounding function. It should be noted that since the K-means algorithm is used when dividing the clusters, K is the number of clusters, so it can be understood that N=K.

[0042] Step S300, extracting the titles of the learning situations, learning tasks and typical work links arranged for each class in the teaching plan; analyzing the inclusion relationship between the titles to obtain the inclusion relationship value; and determining the matching degree between the class and the work process corresponding to the teaching plan according to the inclusion relationship value.

[0043] For teachers of applied education in the same program cluster, although their preset initial scores for education quality evaluation are the same, due to the different teaching experience and teaching skills of each teacher, the degree of students' absorption when they impart knowledge through their own teaching programs is also different. Therefore, when determining the final education quality evaluation score of each applied education teacher, it is also necessary to consider each teacher's teaching situation of his own teaching program and the absorption situation of students.

[0044] Therefore, we first analyze whether each teacher teaches according to the universal working process during the teaching process.

[0045] Taking cooking courses as an example, the work-oriented process teaching based on action logic should be taught according to the actual cooking process of buying vegetables - preparing vegetables - cooking - starting vegetables - setting the table. Therefore, we first need to determine whether each applied teacher has work process thinking in the actual teaching process.

[0046] Similarly, take the cooking course as an example. Each class will also have multiple learning scenarios. In the preparation class, there are multiple learning scenarios such as Sichuan cuisine, Hunan cuisine, and Cantonese cuisine according to the cuisine. The ingredients corresponding to different cuisines are also different, so the ingredients that need to be prepared are also different. Therefore, by analyzing whether the knowledge system taught by each teacher in the teaching process of each class is consistent with the work process. Each class corresponds to a learning scene. Therefore, by calculating whether the specific involved plans in the teaching plan of each class match the work process.

[0047] For the mth applied education teacher, the matching degree between the teaching content and the work process in each class is determined by analysis. Taking the ith class as an example, the titles of the learning situations, learning work tasks and typical work links arranged in each class in the teaching plan are first extracted. Then the inclusion relationship between the titles is analyzed to obtain whether there is an inclusion relationship between the learning situation and the learning work task, whether there is an inclusion relationship between the learning work task and the typical work link, and whether there is an inclusion relationship between different learning situations, different learning work tasks or different typical work links. Finally, according to the inclusion relationship, the matching degree between the teaching content and the work process of the ith class is determined.

[0048] Preferably, after extracting the titles of the learning situations, learning work tasks and typical work links arranged in each class hour in the teaching plan, the inclusion relationship between the titles is analyzed to obtain the inclusion relationship value, specifically: the Jieba word segmentation tool is used to segment the titles to obtain multiple word segments; each word segment is tagged with part of speech, and a pre-trained language model (Bidirectional Encoder Representations from Transformers, BERT) is used to perform deep language analysis on the word segment to obtain the semantic information of the word segment in the title; the semantic information between the titles is compared through a preset rule library to see whether there is an inclusion relationship, if there is an inclusion relationship between the titles, the inclusion relationship value is recorded as 1; if there is no inclusion relationship between the titles, the inclusion relationship value is recorded as 0; wherein the titles include the titles of the learning situations, learning work tasks and typical work links arranged in each class hour. It should be noted that the preset rule base is constructed based on prior knowledge and is used to determine whether the titles have an inclusion relationship, which can also be understood as being used to determine whether the titles have a hierarchical relationship. For example, the preset rule base can be a hierarchical structure, in which "cooking" is a high-level concept, while more specific "Sichuan cuisine" and "Cantonese cuisine" are sub-level concepts. If the participles of the two compared titles are one high-level concept and the other a sub-level concept, it can be determined that there is an inclusion relationship between the participles of the two compared titles.

[0049] For example, take the inclusion relationship between different learning situations as an example, such as the two titles of Introduction to Cooking and Cooking Sichuan Cuisine. First, use the Jieba word segmentation tool to segment the two titles, and then perform part-of-speech tagging on each word. For example, Sichuan cuisine will be marked as: noun. Then use the pre-trained language model BERT (existing technology) to perform deep language analysis on the word segmentation. For example, after deep semantic analysis of Sichuan cuisine, the meaning expressed is: specifically refers to dishes in the Sichuan region, which is a specific cuisine. After deep language analysis, the semantic information of the word segmentations in the two titles can be obtained. Then, the semantic information of the word segmentations between the two titles is compared through the preset rule library to determine whether there is an inclusion relationship between them.

[0050] Because in the teaching process of the work process, the previous learning situation and the next learning situation should have an inclusion relationship. Different learning work tasks in a certain learning situation should have an independent relationship, which is usually used to describe a specific scene. Different typical work links of a certain learning work task should also have an independent relationship. Therefore, starting from the second learning situation, for the jth learning situation, by analyzing the inclusion relationship value, determine the degree of matching between the learning situation corresponding to the teaching plan and the learning situation of the work process, with the degree of work process logic. It should be noted that the first learning situation has action logic by default.

[0051] Taking any learning situation in any class as the target learning situation, obtaining the inclusion relationship value between the target learning situation and the next learning situation, recorded as the first matching degree; obtaining the average of the opposite numbers of the inclusion relationship values ​​between different learning work tasks and different typical work links in the target learning situation, recorded as the second matching degree; combining the first matching degree and the second matching degree, obtaining the learning situation matching degree of the target learning situation. In some embodiments, the learning situation matching degree is the average of the first matching degree and the second matching degree.

[0052] The calculation formula for the learning situation matching is: ;in, is the learning situation matching degree of the jth learning situation in the i-th lesson; is the inclusion relationship value between the jth learning situation and the j+1th learning situation in the i-th class, that is, the first matching degree between the jth learning situation and the j+1th learning situation in the i-th class; It is the average of the inverse values ​​of the inclusion relationship between the jth learning situation in the ith class and the different learning work tasks included in the learning situation, and the inclusion relationship between the different learning work tasks included in the jth learning situation and the different typical work links included in the learning work tasks, that is, the second matching degree of the jth learning situation in the ith class. It should be noted that here it is limited that when the inclusion relationship value is 1, the inverse value is 0, and when the inclusion relationship value is 0, the inverse value is 1, which is equivalent to swapping the inclusion relationship value. Learning situation matching degree The larger the value of , the greater the degree to which the j-th learning situation in the i-th class has action logic.

[0053] Finally, the mean of the learning context matching of the learning contexts in the class hours corresponding to the teaching plan is calculated as the matching degree between the class hours corresponding to the teaching plan and the work process.

[0054] The calculation formula for the matching degree between the class hours and the work process corresponding to the teaching plan is: ;in, is the matching degree between the ith class and the work process; J is the total number of learning situations in the ith class; is the learning situation matching degree of the jth learning situation in the ith class.

[0055] Step S400, combining the matching degree, the initial score and the student evaluation score of the class corresponding to the teaching plan, to determine the final education quality score of the teacher of applied teaching.

[0056] For the mth applied education teacher, the matching degree between each class and the work process can be calculated according to step S100 to step S400. Furthermore, the initial score of the education quality evaluation of the mth applied education teacher is corrected in combination with the student evaluation score after each class, so as to obtain the final education quality score of the mth applied teaching. The student evaluation score reflects the students' absorption after the class teaching is completed. The larger the value of the student evaluation score, the higher the final education quality score of the corresponding teacher. In some embodiments of the present invention, the student evaluation score is the score of the corresponding test paper issued according to the current class content. The higher the score, the better the student's mastery.

[0057] In this embodiment of the present invention, the method for obtaining the final education quality score is: After each teaching session, the ratio of the average student evaluation score of the class hour corresponding to the teaching plan to the full score is obtained, which is recorded as the student comprehensive evaluation value; wherein, each class hour corresponds to one teaching session.

[0058] The weight of the benchmark score is determined based on the student comprehensive evaluation value and the matching degree corresponding to each class hour. The matching degree is equivalent to a weighted value of the student comprehensive evaluation value, because the student comprehensive evaluation value is equivalent to the normalized student test score. Although the test score can reflect the student's mastery to a large extent, in order to reflect the full combination of theoretical knowledge classes and action practice content classes, the student comprehensive evaluation value is weighted by the matching degree. The matching degree is obtained by analyzing the relationship between theoretical knowledge classes and action practice content classes in the teacher's teaching plan, as well as the matching degree between the class hours and the work process, which can better reflect the combination between theoretical knowledge classes and action practice content classes.

[0059] The method for obtaining the weight value of the benchmark score is as follows: obtain the product of the student comprehensive evaluation value and the matching degree corresponding to each class hour as the class hour score of each class hour; calculate the average class hour scores of all class hours to obtain the weight value of the benchmark score.

[0060] The preset benchmark score is weighted by the weight value of the benchmark score to obtain the benchmark score; the sum of the initial score and the benchmark score is used as the final education quality score. In the embodiment of the present invention, the preset benchmark score is 30, and in other embodiments, the implementer can also adjust the preset benchmark score in combination with the preset initial score.

[0061] The initial score is obtained by analyzing the action logic between the theoretical knowledge class hours and the action practice content class hours, and the benchmark score is determined by the student's evaluation score and matching degree. The final education quality score of the applied teaching teacher finally obtained reflects the education quality of the applied education teacher from many aspects.

[0062] The final education quality score is calculated as follows: ;in, is the final education quality score of the teacher of the mth applied education in the nth solution cluster; is the initial score of the nth solution cluster, that is, the initial score of each applied education teacher in the nth solution cluster; 30 is the preset benchmark score; I is the number of all class hours of the mth applied education teacher in the nth solution cluster; is the matching degree between the i-th class and the work process of the m-th applied education teacher in the n-th solution cluster; is the average of the student evaluation scores of the mth applied education teacher in the nth solution cluster in the ith class; 100 is the full score of the student evaluation score; is the comprehensive evaluation value of students in the ith class of the mth applied education teacher in the nth solution cluster; is the class hour score of the ith class hour of the mth applied education teacher in the nth solution cluster; is the weight value of the benchmark score of the ith class of the mth applied education teacher in the nth solution cluster; is the benchmark score for the ith class of the mth applied education teacher in the nth cluster of programs.

[0063] As a preferred embodiment of the present invention, teachers of applied education whose final education quality score is less than the preset quality threshold are judged as failing the external education quality assessment, and then these teachers of applied education are trained to improve their teaching quality. In this embodiment of the present invention, the value of the preset quality threshold is 85, and in other embodiments, the preset quality threshold can be appropriately adjusted according to the strictness of the evaluation of teachers of applied education.

[0064] See also Figure 2 , which shows a system block diagram of an external adaptability education quality assessment system for applied education provided by an embodiment of the present invention, the system includes the following modules: The data preprocessing module is used to obtain the teaching plan of each applied education teacher; analyze the correlation between the theoretical knowledge class hours and the action practice content class hours in the teaching plan, and determine the action logic degree value of the teaching plan; An initial scoring module is used to classify the teaching schemes based on the action logic degree values ​​of the teaching schemes to obtain multiple scheme clusters; sort the scheme clusters according to the magnitude of the action logic degree values ​​to obtain an initial score for each scheme cluster; The matching degree acquisition module is used to extract the titles of the learning situations, learning work tasks and typical work links arranged in each class in the teaching plan; analyze the inclusion relationship between the titles to obtain the inclusion relationship value; and determine the matching degree of the class and work process corresponding to the teaching plan according to the inclusion relationship value; The final scoring module is used to determine the final education quality score of the teacher of applied teaching by combining the matching degree, the initial score and the student evaluation score of the class corresponding to the teaching plan.

[0065] Optionally, the transmission medium may be a wired link, such as but not limited to coaxial cable, optical fiber, and digital subscriber line, or a wireless link, such as but not limited to Wireless Fidelity (WIFI), Bluetooth, and mobile device network.

[0066] It should be noted that the device provided in the above embodiment is only illustrated by the division of the above functional modules. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the computer device can be divided into different functional modules to complete all or part of the functions described above.

[0067] An embodiment of the present invention provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and running on the processor, wherein when the processor executes the computer program, the computer device can execute any of the above-mentioned external adaptability education quality assessment methods for applied education.

[0068] In addition, an embodiment of the present invention also protects a device, which may include a memory and a processor, wherein the memory stores an executable program code, and the processor is used to call and execute the executable program code to execute the external adaptability education quality assessment method for applied education provided by an embodiment of the present invention.

[0069] The embodiment of the present invention can divide the functional modules of the device according to the above method example. For example, each functional module can be corresponded, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware. It should be noted that the division of modules in this embodiment is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0070] In the case of dividing each module according to each function, the device may also include a signal uploading module, a determining module, an adjusting module, etc. It should be noted that all relevant contents of each step involved in the above method embodiment can be referred to the functional description of the corresponding functional module, which will not be repeated here.

[0071] It should be understood that the device provided in the embodiment of the present invention is used to execute the above-mentioned external adaptive education quality assessment method for applied education, and thus can achieve the same effect as the above-mentioned implementation method.

[0072] In the case of an integrated unit, the device may include a processing module and a storage module. When the device is applied to a device, the processing module may be used to control and manage the actions of the device. The storage module may be used to support the device to execute mutual program codes, etc. The processing module may be a processor or a controller, which may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of the present invention. The processor may also be a combination that implements a computing function, such as a combination of one or more microprocessors, a combination of digital signal processing (DSP) and a microprocessor, etc. The storage module may be a memory.

[0073] In addition, the device provided by the embodiment of the present invention can specifically be a chip, a component or a module, and the chip may include a connected processor and a memory; wherein the memory is used to store instructions, and when the processor calls and executes the instructions, the chip can execute the external adaptability education quality assessment method of applied education provided by the above embodiment.

[0074] An embodiment of the present invention also provides a computer-readable storage medium, which stores computer program code. When the computer program code runs on a computer, the computer executes the above-mentioned related method steps to implement the external adaptability education quality assessment method for applied education provided by the above embodiment.

[0075] The embodiment of the present invention also provides a computer program product. When the computer program product is run on a computer, the computer is caused to execute the above-mentioned related steps to implement the external adaptability education quality assessment method of applied education provided in the above embodiment.

[0076] Among them, the device, computer-readable storage medium, computer program product or chip provided in the embodiments of the present invention are all used to execute the corresponding methods provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding methods provided above, and will not be repeated here. Through the description of the above implementation methods, technicians in the relevant field can understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways.

[0077] The device embodiments described above are merely illustrative. For example, the division of modules or units is only a logical function division. There may be other divisions in actual implementation. For example, multiple units or components may be combined or integrated into another device, or some features may be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection of devices or units, which may be electrical, mechanical or other forms.

[0078] It should also be noted that, in this article, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal device. In the absence of further restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, article or terminal device including the elements.

[0079] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0080] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0081] The above contents are only specific implementation modes of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered within the protection scope of the present invention.

Claims

1. A method for evaluating the quality of external adaptability education in applied education, characterized in that: The method comprises the following steps: Obtain the teaching plan of each applied education teacher; analyze the correlation between the theoretical knowledge class hours and the action practice content class hours in the teaching plan, and determine the action logic degree value of the teaching plan; Based on the action logic degree values ​​of the teaching plans, the teaching plans are classified to obtain a plurality of plan clusters; the plan clusters are sorted according to the magnitude of the action logic degree values ​​to obtain an initial score for each plan cluster; Extract the titles of the learning situations, learning tasks and typical work links arranged in each class hour in the teaching plan; analyze the inclusion relationship between the titles to obtain the inclusion relationship value; and determine the matching degree of the class hour and the work process corresponding to the teaching plan according to the inclusion relationship value; The final education quality score of the teacher of applied teaching is determined by combining the matching degree, the initial score and the student evaluation score of the class corresponding to the teaching plan.

2. The external adaptability education quality assessment method of applied education according to claim 1 is characterized in that: The analyzing the correlation between the theoretical knowledge hours and the action practice content hours in the teaching plan to determine the action logic degree value of the teaching plan includes: Get the proportion of action practice content in the teaching plan, recorded as the proportion of practice content; Determine a distribution discrete value according to the distribution discreteness of the action practice content class hours; The action logic degree value of the teaching plan is determined according to the proportion of the practical content and the distribution discrete value.

3. The external adaptability education quality assessment method of applied education according to claim 1 is characterized in that: Based on the action logic degree value of the teaching scheme, the teaching scheme is classified to obtain multiple scheme clusters, including: The K-means algorithm is used to classify the teaching plans by taking the difference between the action logic degree values ​​as the distance between the two teaching plans, and a plurality of clusters are obtained, which are recorded as plan clusters.

4. The external adaptability education quality assessment method of applied education according to claim 1 is characterized in that: The scheme clusters are sorted according to the action logic degree values ​​to obtain the initial score of each scheme cluster, including: Calculate the mean of the action logic degree values ​​of the teaching plans in each plan cluster and record it as the cluster representative value; Sort the solution clusters in ascending order of cluster representative values, and obtain the sequence number corresponding to each solution cluster; According to the position of the sequence number corresponding to each solution cluster, the initial score of each solution cluster is determined.

5. The external adaptability education quality assessment method of applied education according to claim 4 is characterized in that: Determining the initial score of each solution cluster according to the position of the sequence number corresponding to each solution cluster includes: The ratio of the sequence number of the current solution cluster to the number of solution clusters is used as the position value of the sequence number; The product of the position value and the preset initial score is used as the initial score of each solution cluster.

6. The external adaptability education quality assessment method of applied education according to claim 1 is characterized in that: The analysis of the inclusion relationship between the titles to obtain the inclusion relationship value includes: Use Jieba word segmentation tool to segment the title to obtain multiple word segments; perform part-of-speech tagging on each word segment, use pre-trained language model to perform deep language analysis on the word segment, and obtain semantic information of the word segment in the title; compare the semantic information of the word segment between titles through a preset rule library to see whether there is an inclusion relationship between the titles, if there is an inclusion relationship between the titles, the inclusion relationship value is recorded as 1; if there is no inclusion relationship between the titles, the inclusion relationship value is recorded as 0; wherein the title includes the learning situation, learning work task and typical work link title arranged for each class.

7. The external adaptability education quality assessment method of applied education according to claim 1 is characterized in that: Determining the matching degree between the class hours and the work process corresponding to the teaching plan according to the inclusion relationship value includes: Taking any learning situation in any class as the target learning situation, obtain the inclusion relationship value between the target learning situation and the next learning situation, which is recorded as the first matching degree; Obtain the average of the negated values ​​of the inclusion relationship values ​​between different learning work tasks and between different typical work links in the target learning situation, and record it as the second matching degree; Combining the first matching degree and the second matching degree to obtain a learning situation matching degree of a target learning situation; Calculate the mean of the learning context matching of the learning contexts in the class hours corresponding to the teaching plan as the matching degree between the class hours corresponding to the teaching plan and the work process.

8. The method for evaluating the external adaptability of applied education according to claim 1 is characterized in that: The combining of the matching degree, the initial score and the student evaluation score of the class corresponding to the teaching plan to determine the final education quality score of the teacher of applied teaching includes: After each teaching session, the ratio of the average student evaluation score of the class hour corresponding to the teaching plan to the full score is obtained, which is recorded as the student comprehensive evaluation value; wherein, each class hour corresponds to one teaching session; Determine the weight of the benchmark score based on the student comprehensive evaluation value and matching degree corresponding to each class hour; The preset benchmark score is weighted by the weight value of the benchmark score to obtain a benchmark score; The sum of the initial score and the benchmark score is taken as the final education quality score.

9. The method for evaluating the external adaptability of applied education according to claim 8 is characterized in that: Determining the weight of the benchmark score based on the student comprehensive evaluation value and matching degree corresponding to each class hour includes: Obtain the product of the student comprehensive evaluation value and the matching degree corresponding to each class hour as the class hour score of each class hour; Take the average of all lesson scores to get the weighted value of the benchmark score.

10. An external adaptability education quality assessment system for applied education, characterized in that: The system includes the following modules: The data preprocessing module is used to obtain the teaching plan of each applied education teacher; analyze the correlation between the theoretical knowledge class hours and the action practice content class hours in the teaching plan, and determine the action logic degree value of the teaching plan; An initial scoring module is used to classify the teaching schemes based on the action logic degree values ​​of the teaching schemes to obtain multiple scheme clusters; sort the scheme clusters according to the magnitude of the action logic degree values ​​to obtain an initial score for each scheme cluster; The matching degree acquisition module is used to extract the titles of the learning situations, learning work tasks and typical work links arranged in each class in the teaching plan; analyze the inclusion relationship between the titles to obtain the inclusion relationship value; and determine the matching degree of the class and work process corresponding to the teaching plan according to the inclusion relationship value; The final scoring module is used to determine the final education quality score of the teacher of applied teaching by combining the matching degree, the initial score and the student evaluation score of the class corresponding to the teaching plan.

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