CN114925951A - Comprehensive evaluation method for live-working practical training trainees based on structural equation model - Google Patents
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Abstract
The invention discloses a comprehensive evaluation method for live working practical training trainees based on a structural equation model, which comprises the following steps of: measuring latent variables indirectly by using multi-dimensional measurable indexes; setting an influence relation between the latent variable and a comprehensive evaluation result based on a structural equation model to obtain a final comprehensive evaluation K; randomly selecting an evaluation teacher to perform final comprehensive evaluation on the student to obtain a final comprehensive evaluation result S; verifying the rationality of the influence relationship according to the final comprehensive evaluation K and the final comprehensive evaluation result S of the student; if the evaluation is not reasonable, performing coefficient training/reconstruction until the conditions are met, and outputting an evaluation accuracy index; according to the method, through algorithm verification and adjustment, the optimal algorithm parameters are searched, the whole-process tracking type comprehensive objective evaluation is performed on live working practice training from the process to the result, and the existing problems are solved.
Description
Technical Field
The invention relates to the technical field of practice training management, in particular to a comprehensive evaluation method for live-wire work practice training trainees based on a structural equation model.
Background
The live working practice training evaluation is an important evaluation step before a student is on duty, the evaluation result directly determines whether the student can obtain the qualification to carry out the live working, and the comprehensiveness and objectivity of the evaluation directly influence the personal safety of the student and the safe operation of a power grid.
In practice training, students need to be evaluated comprehensively, and currently, a method of adding a theoretical test and a practice test and comparing the results of the two tests with an evaluation qualified threshold score is mostly adopted to evaluate the comprehensive results of the students. However, the trainees have a great difference in their performance during training due to differences in their personal characters, working and living experiences, knowledge storage, and the like. In the practical operation examination, due to the complex operation steps, the evaluation teacher needs to perform experience judgment according to the field situation, and the evaluation result is greatly influenced by personal factors of the evaluation teacher. Methods that rely solely on the evaluation of the final test results are incomplete, inadequate, and not objective.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned conventional problems.
Therefore, the invention provides a comprehensive evaluation method for live working practice training trainees based on a structural equation model, and can solve the problems of incompleteness and insufficiency of the current evaluation method.
In order to solve the above technical problems, the present invention provides the following technical solutions, including: measuring latent variables indirectly by using multi-dimensional measurable indexes; setting an influence relation between the latent variable and a comprehensive evaluation result based on a structural equation model to obtain a final comprehensive evaluation K; randomly selecting an evaluation teacher to perform final comprehensive evaluation on the student to obtain a final comprehensive evaluation result S; verifying the rationality of the influence relationship according to the final comprehensive evaluation K and the final comprehensive evaluation result S of the student; and if the evaluation result is not reasonable, performing coefficient training/reconstruction until the evaluation result meets the conditions, and outputting an evaluation accuracy index.
As a preferred scheme of the comprehensive evaluation method for the live working practical operation training trainees based on the structural equation model, the method comprises the following steps: the method comprises the following steps: the latent variables comprise attitude, knowledge and skill, and are obtained by indirect measurement of multidimensional measurable indexes, namely, display variables; wherein, the explicit variable corresponding to the attitude comprises: attendance rate, late arrival and early departure times, class speaking times and job completion rate; the display variables corresponding to the knowledge comprise: the exercise error rate, the theoretical examination score, the theoretical sharing times and the extended course learning times; the display variables corresponding to the skills comprise: violation rate, operation accuracy rate, height, weight, physical strength and endurance; measuring safety consciousness through the violation rate, measuring practical skill through the operation accuracy rate and the operation accuracy rate, and measuring physical quality through height, weight, physical strength and endurance; skills were measured by safety awareness, skill in practice, and physical fitness.
The invention discloses a preferable scheme of a hot-line work actual operation training student comprehensive evaluation method based on a structural equation model, wherein the method comprises the following steps: the method comprises the following steps: fitting the measured relationship of the explicit variable to the latent variable using a linear function:
A＝x 1 *A1+x 2 *A2+x 3 *A3+x 4 *A4；
B＝y 1 *B1+y 2 *B2+y 3 *B3+y 4 *B4；
C＝z 1 *C1+z 2 *C3+z 3 *C3
C1＝z 11 *C11；
C2＝z 21 *C21+z 22 *C22；
C3＝z 31 *C31+z 32 *C32+z 33 *C33；
wherein, A is attitude, A1 is attendance, A2 is number of late arrival and early departure, A3 is number of classroom speeches, and A4 is job completion rate; b is knowledge, B1 is exercise error rate, B2 is theoretical examination score, B3 is theoretical sharing frequency, and B4 is extended course learning frequency; c is skill, C1 is safety consciousness, C2 is practice skill, C3 is physical quality, C11 is violation rate, C21 is operation accuracy, C22 is operation accuracy, C31 is height and weight, C32 is physical strength, and C33 is endurance; x is a radical of a fluorine atom 1 、x 2 、x 3 、x 4 The measurement coefficients of attendance rate, late arrival and early exit times, class speaking times and operation completion rate to attitude are respectively; y is 1 、y 2 、y 3 、y 4 Respectively measuring coefficients of exercise error rate, theoretical examination score, theoretical sharing times and extended course learning times to knowledge; z is a radical of 11 A measurement factor for violation rate versus safety awareness; z is a radical of formula 21 、z 22 The measurement coefficients of the operation accuracy and the operation accuracy to the actual operation skill are respectively; z is a radical of 31 、z 32 、z 33 The measurement coefficients of height, weight, physical strength and endurance to physical quality are respectively measured; z is a radical of 1 、z 2 、z 3 Respectively measuring coefficients of safety consciousness, skill of practice and physical quality to skill; before the training evaluation is started, an evaluation teacher sets an initial value according to experience, and the measurement coefficient is automatically adjusted and optimized through a self-learning algorithm in the training evaluation running process.
As a preferred scheme of the comprehensive evaluation method for the live working practical operation training trainees based on the structural equation model, the method comprises the following steps: the method comprises the following steps: attitude and knowledge influence theoretical scoring; attitude, knowledge and skill jointly influence the practice score K2, and the theoretical score K1 and the practice score K2 influence the final comprehensive evaluation K of the trainee, namely:
K1＝u 1 *A+u 2 *B
K2＝v 1 *A+v 2 *B+v 3 *C
K＝w 1 *K2+w 2 *K2
wherein u is 1 、u 1 Respectively representing influence coefficients of attitude and knowledge on theoretical scoring; v. of 1 、v 2 、v 3 Respectively representing influence coefficients of attitude, knowledge and skill on practice scores; w is a 1 、w 2 Respectively representing the influence coefficients of the theoretical score and the practical exercise score on the final comprehensive evaluation; before the training evaluation is started, an evaluation teacher sets an initial value according to experience, and the self-learning algorithm is used for automatic optimization in the training evaluation running process.
The invention discloses a preferable scheme of a hot-line work actual operation training student comprehensive evaluation method based on a structural equation model, wherein the method comprises the following steps: the method comprises the following steps: aiming at each student to be evaluated, randomly selecting three evaluation teachers to carry out theoretical scoring and practical exercise scoring on the student, wherein the average scores of the theoretical scoring and the practical exercise scoring are respectively used as the theoretical score and the practical exercise score, and further obtaining the final comprehensive evaluation result of the student; wherein the mean score of theoretical scores S1 is:
S1＝(S A +S B +S C )/3
the average score S2 of the practice scores is:
S2＝(S D +S E +S F )/3
the final comprehensive evaluation result S is:
S＝(S1+S2)/2
wherein S is A 、S B 、S C Theoretical scores of 3 evaluation teachers respectively; s D 、S E 、S F Are respectively provided withThe performance scores of 3 evaluation teachers were obtained.
The invention discloses a preferable scheme of a hot-line work actual operation training student comprehensive evaluation method based on a structural equation model, wherein the method comprises the following steps: the method comprises the following steps: comparing the final comprehensive evaluation K of not less than 50 learners with the final comprehensive evaluation result S, and if the difference between the final comprehensive evaluation K and the final comprehensive evaluation result S is large, automatically adjusting and optimizing through a self-learning algorithm; taking an absolute value E of a difference between a final comprehensive evaluation result S and a final comprehensive evaluation K of each student, and setting a first deviation threshold T1, wherein if E is greater than T1, the difference between the final comprehensive evaluation K and the final comprehensive evaluation result S is large;
E＝|S-K|。
the invention discloses a preferable scheme of a hot-line work actual operation training student comprehensive evaluation method based on a structural equation model, wherein the method comprises the following steps: the method comprises the following steps: if E > T1, the measurement coefficient and the influence coefficient are unreasonably set, and the measurement coefficient and the influence coefficient need to be trained through a self-learning algorithm and gradually adjusted to be optimal until E < T1.
As a preferred scheme of the comprehensive evaluation method for the live working practical operation training trainees based on the structural equation model, the method comprises the following steps: the method comprises the following steps: setting a second deviation threshold T2, if E is greater than T2, indicating that the latent variable or the display variable is unreasonable to set, and iteratively setting the influence relationship between the latent variable and the final comprehensive evaluation result to perform algorithm reconstruction; the output evaluation accuracy index is as follows:
|S-K|≤T2。
the invention has the beneficial effects that: the method is based on the measurement relation setting of the practical training trainees evaluation method and the influence relation setting of the practical training trainees evaluation method, brings both the behavior of the trainees in the training process and the final examination result into the evaluation method, searches for the optimal algorithm parameter through algorithm verification and adjustment, performs whole-process tracking type comprehensive objective evaluation on live working practical training from the process to the result, and solves the existing problems.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without inventive labor. Wherein:
fig. 1 is a schematic diagram of a measurement relationship and an influence relationship of a hot-line work practice training student comprehensive evaluation method based on a structural equation model according to a first embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, specific embodiments accompanied with figures are described in detail below, and it is apparent that the described embodiments are a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially in general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Also in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, which are only for convenience of description and simplification of description, but do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected and connected" in the present invention are to be understood broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1
Referring to fig. 1, a first embodiment of the present invention provides a method for comprehensive evaluation of trainees in live-working practice based on structural equation models, including:
s1: and measuring the latent variable indirectly by using a multi-dimensional measurable index.
The three indexes are difficult to measure by quantifiable indexes, so that the measurement relationship of the three indexes (latent variables) which cannot be directly measured is disassembled, and the measurement is indirectly carried out by using multi-dimensional measurable indexes (visible variables).
Table 1: and (5) disassembling the measurement relation.
Wherein, the apparent variable that attitude corresponds includes: attendance rate, late arrival and early departure times, class speaking times and job completion rate;
the corresponding explicit variables of knowledge include: exercise error rate, theoretical examination score, theoretical sharing times and extended course learning times;
the display variables corresponding to the skills comprise: violation rate, operation accuracy rate, height, weight, physical strength and endurance; measuring safety consciousness through the violation rate, measuring practical skill through the operation accuracy rate and the operation accuracy rate, and measuring physical quality through height, weight, physical strength and endurance; skills were measured by safety awareness, practice skills, and physical fitness.
S2: and setting an influence relation between the latent variable and the comprehensive evaluation result based on the structural equation model to obtain a final comprehensive evaluation K.
Fitting the measured relationship of the explicit variable to the latent variable using a linear function:
A＝x 1 *A1+x 2 *A2+x 3 *A3+x 4 *A4；
B＝y 1 *B1+y 2 *B2+y 3 *B3+y 4 *B4；
C＝z 1 *C1+z 2 *C3+z 3 *C3
C1＝z 11 *C11；
C2＝z 21 *C21+z 22 *C22；
C3＝z 31 *C31+z 32 *C32+z 33 *C33；
wherein, A is attitude, A1 is attendance rate, A2 is late arrival and early departure times, A3 is classroom speaking times, and A4 is operation completion rate; b is knowledge, B1 is exercise error rate, B2 is theoretical examination score, B3 is theoretical sharing frequency, and B4 is extended course learning frequency; c is skill, C1 is safety consciousness, C2 is practice skill, C3 is physical quality, C11 is violation rate, C21 is operation accuracy, C22 is operation accuracy, C31 is height and weight, C32 is physical strength, C1 is safety consciousness33 is endurance; x is the number of 1 、x 2 、x 3 、x 4 The measurement coefficients of attendance rate, late arrival and early exit times, class speaking times and operation completion rate to attitude are respectively; y is 1 、y 2 、y 3 、y 4 Respectively measuring coefficients of exercise error rate, theoretical examination score, theoretical sharing times and extended course learning times to knowledge; z is a radical of formula 11 A measurement factor for violation rate versus safety awareness; z is a radical of 21 、z 22 The measurement coefficients of the operation accuracy and the operation accuracy to the actual operation skill are respectively; z is a radical of formula 31 、z 32 、z 33 Measuring coefficients of height, weight, physical strength and endurance to physical quality are respectively obtained; z is a radical of formula 1 、z 2 、z 3 The measurement coefficients of safety consciousness, practical skill, physical quality and skill are measured; before the training evaluation is started, an evaluation teacher sets an initial value according to experience, and the measurement coefficient is automatically adjusted and optimized through a self-learning algorithm in the training evaluation running process.
Further, attitude and knowledge influence theoretical scoring; attitude, knowledge and skill jointly influence the practice score K2, and the theoretical score K1 and the practice score K2 influence the final overall assessment K of the trainee, namely:
K1＝u 1 *A+u 2 *B
K2＝v 1 *A+v 2 *B+v 3 *C
K＝w 1 *K1+w 2 *K2
wherein u is 1 、u 1 Respectively representing influence coefficients of attitude and knowledge on theoretical scoring; v. of 1 、v 2 、v 3 Respectively representing influence coefficients of attitude, knowledge and skill on the practice score; w is a 1 、w 2 Respectively representing the influence coefficients of the theoretical score and the practical score on the final comprehensive evaluation; before the training evaluation is started, an evaluation teacher sets an initial value according to experience, and the evaluation teacher automatically adjusts and optimizes the influence coefficient through a self-learning algorithm in the training evaluation running process.
S3: and randomly selecting an evaluation teacher to perform final comprehensive evaluation on the student to obtain a final comprehensive evaluation result S.
Aiming at each student to be evaluated, randomly selecting three evaluation teachers to carry out theoretical scoring and practical exercise scoring on the student, wherein the average scores of the theoretical scoring and the practical exercise scoring are respectively used as the theoretical score and the practical exercise score, and further obtaining the final comprehensive evaluation result of the student;
wherein, the average score of the theoretical score S1 is:
S1＝(S A +S B +S C )/3
the average score S2 of the practice scores is:
S2＝(S D +S E +S F )/3
the final comprehensive evaluation result S is:
S＝(S1+S2)/2
wherein S is A 、S B 、S C The theoretical scores of 3 evaluation teachers are respectively obtained; s. the D 、S E 、S F The evaluation teachers were scored for actual performance by 3 evaluation teachers.
S4: and verifying the reasonability of the influence relationship according to the final comprehensive evaluation K and the final comprehensive evaluation result S of the student.
And if the evaluation is not reasonable, performing coefficient training/reconstruction until the conditions are met, and outputting an evaluation accuracy index.
Specifically, (1) comparing the final comprehensive evaluation K of not less than 50 students with the final comprehensive evaluation result S, and if the difference between the final comprehensive evaluation K and the final comprehensive evaluation result S is large, automatically adjusting and optimizing through a self-learning algorithm;
taking an absolute value E of a difference between a final comprehensive evaluation result S and a final comprehensive evaluation K of each student, and setting a first deviation threshold T1, wherein if E > T1(T1 is set to be 2), a difference between the final comprehensive evaluation K and the final comprehensive evaluation result S is large;
E＝|S-K|。
(2) if E > T1, it is indicated that the measurement coefficient and the influence coefficient are unreasonably set, and the measurement coefficient and the influence coefficient need to be trained through a self-learning algorithm and gradually adjusted to be optimal until E < T1.
(3) Setting a second deviation threshold T2, if E > T2(T2 is set to 10), indicating that the setting of the latent variable or the display variable is unreasonable, and needing to iteratively set the influence relation between the latent variable and the final comprehensive evaluation result, namely iterating steps S2-S4 to carry out algorithm reconstruction; the output evaluation accuracy index is as follows:
|S-K|≤T2。
example 2
In order to verify and explain the technical effect adopted in the method, the embodiment performs an evaluation test on a random student X to verify the real effect of the method.
S1: and measuring the latent variable indirectly by using a multi-dimensional measurable index.
The display variable data of a random student X in the training process is collected, and an evaluation teacher sets a measurement coefficient and an influence coefficient initial value according to experience, as shown in tables 2 to 4:
table 2: student X's display variable data.
Table 3: initial value of measurement coefficient for student X.
Table 4: initial value of measurement coefficient for student X.
By measurement, students X attitude (a) 95, knowledge (B) 80.2, and skill (C) 97 are obtained.
S2: and setting an influence relation between the latent variable and the comprehensive evaluation result based on the structural equation model to obtain a final comprehensive evaluation K.
Attitude and knowledge influence theoretical scoring; attitude, knowledge and skill jointly influence the practice score K2, the theoretical score K1 and the practice score K2 influence the final composite assessment K of the trainee, as shown in Table 5:
table 5: comprehensive evaluation K of student X:
the comprehensive evaluation score K of student X is calculated to 89.48.
S3: and randomly selecting an evaluation teacher to perform final comprehensive evaluation on the student X to obtain a final comprehensive evaluation result S.
Randomly selecting three evaluation teachers to perform theoretical scoring and practical exercise scoring on the students, wherein the average scores of the theoretical scoring and the practical exercise scoring are respectively used as theoretical scores and practical exercise scores of the students, and further obtaining the final comprehensive evaluation result of the students, wherein the final comprehensive evaluation result is shown in a table 6;
table 6: comprehensive evaluation of student X S:
after scoring, the student X had a composite rating S of 90.5
S4: and verifying the rationality of the influence relationship according to the final comprehensive evaluation K and the final comprehensive evaluation result S of the student.
E＝|S-K|＝|90.5-89.48|＝1.02＜T1＝2<T2＝10
E＝＜T1＝2
E＝<T2＝10
Wherein E is the absolute value of the difference between the final comprehensive evaluation result S and the final comprehensive evaluation K of the student X, TI is a first deviation threshold, T2 is a second deviation threshold, E is less than T1, and E is less than T2, which shows that the measurement management and the influence relationship are reasonably constructed, and the set initial value of the measurement coefficient and the initial value of the influence coefficient are proper and are not needed to be optimized temporarily.
It should be recognized that embodiments of the present invention can be realized and implemented by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with the computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, according to the methods and figures described in the detailed description. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
Further, the operations of processes described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described herein (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) collectively executed on one or more processors, by hardware, or combinations thereof. The computer program includes a plurality of instructions executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable interface, including but not limited to a personal computer, mini computer, mainframe, workstation, networked or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and the like. Aspects of the invention may be embodied in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optically read and/or write storage medium, RAM, ROM, or the like, such that it may be read by a programmable computer, which when read by the storage medium or device, is operative to configure and operate the computer to perform the procedures described herein. Further, the machine-readable code, or portions thereof, may be transmitted over a wired or wireless network. The invention described herein includes these and other different types of non-transitory computer-readable storage media when such media include instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor. The invention also includes the computer itself when programmed according to the methods and techniques described herein. A computer program can be applied to input data to perform the functions described herein to transform the input data to generate output data that is stored to non-volatile memory. The output information may also be applied to one or more output devices, such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including particular visual depictions of physical and tangible objects produced on a display.
As used in this application, the terms "component," "module," "system," and the like are intended to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, or software in execution. For example, a component may be, but is not limited to being: a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of example, both an application running on a computing device and the computing device can be a component. One or more components can reside within a process and/or thread of execution and a component can be localized on one computer and/or distributed between two or more computers. In addition, these components can execute from various computer readable media having various data structures stored thereon. The components may communicate by way of local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the internet with other systems by way of the signal).
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (8)
1. The comprehensive evaluation method for the live working practical training trainees based on the structural equation model is characterized by comprising the following steps of:
measuring latent variables indirectly by using multi-dimensional measurable indexes;
setting an influence relation between the latent variable and a comprehensive evaluation result based on a structural equation model to obtain a final comprehensive evaluation K;
randomly selecting an evaluation teacher to perform final comprehensive evaluation on the student to obtain a final comprehensive evaluation result S;
verifying the rationality of the influence relationship according to the final comprehensive evaluation K and the final comprehensive evaluation result S of the student;
and if the evaluation result is not reasonable, performing coefficient training/reconstruction until the evaluation result meets the conditions, and outputting an evaluation accuracy index.
2. The method for comprehensively evaluating the live working practice training trainees based on the structural equation model as claimed in claim 1, comprising the following steps of:
the latent variables comprise attitude, knowledge and skill, and are obtained by indirectly measuring multi-dimensional measurable indexes, namely, display variables;
wherein, the explicit variable corresponding to the attitude comprises: attendance rate, late arrival and early exit times, class speaking times and operation completion rate;
the display variables corresponding to the knowledge comprise: the exercise error rate, the theoretical examination score, the theoretical sharing times and the extended course learning times;
the display variables corresponding to the skills comprise: violation rate, operation accuracy rate, height, weight, physical strength and endurance; measuring safety consciousness through the violation rate, measuring practical skill through the operation accuracy rate and the operation accuracy rate, and measuring physical quality through height, weight, physical strength and endurance; skills were measured by safety awareness, practice skills, and physical fitness.
3. The structural equation model-based hot-line work practice training student comprehensive evaluation method according to claim 2, comprising:
fitting the measured relationship of the explicit variable to the latent variable using a linear function:
A＝x 1 *A1+x 2 *A2+x 3 *A3+x 4 *A4；
B＝y 1 *B1+y 2 *B2+y 3 *B3+y 4 *B4；
C＝z 1 *C1+z 2 *C3+z 3 *C3
C1＝z 11 *C11；
C2＝z 21 *C21+z 22 *C22；
C3＝z 31 *C31+z 32 *C32+z 33 *C33；
wherein, A is attitude, A1 is attendance rate, A2 is late arrival and early departure times, A3 is classroom speaking times, and A4 is operation completion rate; b is knowledge, B1 is exercise error rate, B2 is theoretical examination score, B3 is theoretical sharing frequency, and B4 is extended course learning frequency; c is skill, C1 is safety consciousness, C2 is practice skill, C3 is physical quality, C11 is violation rate, C21 is operation accuracy, C22 is operation accuracy, C31 is height and weight, C32 is physical strength, and C33 is endurance; x is the number of 1 、x 2 、x 3 、x 4 The measurement coefficients of attendance rate, late arrival and early exit times, class speaking times and operation completion rate to attitude are respectively; y is 1 、y 2 、y 3 、y 4 Respectively measuring the knowledge by the exercise error rate, the theoretical examination score, the theoretical sharing times and the extended course learning times; z is a radical of 11 A measurement coefficient of violation rate versus safety awareness; z is a radical of 21 、z 22 Are respectively operatedThe operation accuracy and the measurement coefficient of the operation accuracy on the actual operation skill are measured; z is a radical of formula 31 、z 32 、z 33 The measurement coefficients of height, weight, physical strength and endurance to physical quality are respectively measured; z is a radical of formula 1 、z 2 、z 3 Respectively measuring coefficients of safety consciousness, skill of practice and physical quality to skill; before the training evaluation is started, an evaluation teacher sets an initial value according to experience, and the measurement coefficient is automatically adjusted and optimized through a self-learning algorithm in the training evaluation running process.
4. The method for comprehensively evaluating the live working practice training trainees based on the structural equation model as claimed in claim 3, comprising the following steps of:
attitude and knowledge influence theoretical scoring; attitude, knowledge and skill jointly influence the practice score K2, and the theoretical score K1 and the practice score K2 influence the final comprehensive evaluation K of the trainee, namely:
K1＝u 1 *A+u 2 *B
K2＝v 1 *A+v 2 *B+v 3 *C
K＝w 1 *K1+w 2 *K2
wherein u is 1 、u 1 Respectively representing influence coefficients of attitude and knowledge on theoretical scoring; v. of 1 、v 2 、v 3 Respectively representing influence coefficients of attitude, knowledge and skill on practice scores; w is a 1 、w 2 Respectively representing the influence coefficients of the theoretical score and the practical exercise score on the final comprehensive evaluation; before the training evaluation is started, an evaluation teacher sets an initial value according to experience, and the evaluation teacher automatically adjusts and optimizes the influence coefficient through a self-learning algorithm in the training evaluation running process.
5. The structural equation model-based hot-line work practice training student comprehensive evaluation method according to claim 4, comprising:
aiming at each student to be evaluated, randomly selecting three evaluation teachers to carry out theoretical scoring and practical exercise scoring on the student, wherein the average scores of the theoretical scoring and the practical exercise scoring are respectively used as the theoretical score and the practical exercise score, and further obtaining the final comprehensive evaluation result of the student;
wherein the mean score of theoretical scores S1 is:
S1＝(S A +S B +S C )/3
the average score S2 of the practice scores is:
S2＝(S D +S E +S F )/3
the final comprehensive evaluation result S is:
S＝(S1+S2)/2
wherein S is A 、S B 、S C Theoretical scores of 3 evaluation teachers respectively; s D 、S E 、S F The evaluation teachers were scored for actual performance by 3 evaluation teachers.
6. The structural equation model-based hot-line work practice training student comprehensive evaluation method according to claim 5, comprising:
comparing the final comprehensive evaluation K of not less than 50 learners with the final comprehensive evaluation result S, and if the difference between the final comprehensive evaluation K and the final comprehensive evaluation result S is large, automatically adjusting and optimizing through a self-learning algorithm;
taking an absolute value E of a difference between a final comprehensive evaluation result S and a final comprehensive evaluation K of each student, and setting a first deviation threshold T1, wherein if E is greater than T1, the difference between the final comprehensive evaluation K and the final comprehensive evaluation result S is large;
E＝|S-K|。
7. the structural equation model-based hot-line work practice training student comprehensive evaluation method according to claim 5, comprising:
if E > T1, it is indicated that the measurement coefficient and the influence coefficient are unreasonably set, and the measurement coefficient and the influence coefficient need to be trained through a self-learning algorithm and gradually adjusted to be optimal until E < T1.
8. The structural equation model-based hot-line work practice trainee comprehensive evaluation method according to claim 6 or 7, comprising:
setting a second deviation threshold T2, if E is greater than T2, indicating that the latent variable or the display variable is unreasonable to set, and iteratively setting the influence relationship between the latent variable and the final comprehensive evaluation result to perform algorithm reconstruction; the output evaluation accuracy rate index is as follows:
|S-K|≤T2。
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