CN115587693A - Flight training quality rating method based on observable behaviors - Google Patents

Flight training quality rating method based on observable behaviors Download PDF

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CN115587693A
CN115587693A CN202211168069.6A CN202211168069A CN115587693A CN 115587693 A CN115587693 A CN 115587693A CN 202211168069 A CN202211168069 A CN 202211168069A CN 115587693 A CN115587693 A CN 115587693A
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孙宏
胡晴晴
任丹
李凡
钱基德
杜东
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Abstract

The invention relates to the technical field of row training rating, and particularly discloses a flight training quality rating method based on observable behaviors, which is based on a traditional flight training performance assessment operation mode and a CBTA theory constructed by ICAO (independent component analysis) to design a typical subject observation item measurement table and construct a competence assessment matrix, so as to provide a solution for optimizing the competence rating of each stage of initial flight training.

Description

Flight training quality rating method based on observable behaviors
Technical Field
The invention relates to the technical field of flight training rating, in particular to a flight training quality rating method based on observable behaviors.
Background
Flight training is the basis for guaranteeing flight safety and realizing civil aviation high-quality development, and a scientific and standard training quality evaluation system is a key link for controlling training quality and improving training efficiency. In order to alleviate the risks encountered by members of the aircraft fleet in flight, especially in order to deal with increasingly complex civil aviation systems, the International Civil Aviation Organization (ICAO) proposes that flight Training and assessment focus on nine core Competency concepts such as knowledge application (KNO), program application and compliance regulations (APK), automatic flight path management (FPA), manual Flight Path Management (FPM), communication (COM), leadership and team cooperation (LTW), situational awareness and information management (SAW), workload management (WLM), and problem resolution and decision (PSD), and in the Global Aviation Safety Program (GASP), it is emphasized that Competency Based Training and Assessment (CBTA) is used as a strategy for continuously improving global aviation safety.
In addition, the pilot skill life cycle management (PLM) is the development direction of a global civil aviation industry pilot skill management paradigm, and the premise is to establish a set of capability evaluation index system which runs through the pilot skill life cycle, so that the international civil aviation organization and the IATA establish a nine-competency index system and define the investigation dimensionality of each competency. Therefore, in order to advance PLM management paradigm landing in the whole industry, it is necessary to improve the pilot training quality evaluation method according to the core competency assessment index system constructed by ICAO from the beginning of the initial flight training phase.
At present, a temporary flight training assessment mode is implemented by taking subjects as training carriers, and mainly inspectors give conclusions of 'passing' and 'not passing' through observing the flight process of the students, so that scientific assessment on various competency levels and distribution of the students cannot be realized. Therefore, the existing training quality evaluation method needs to be revolutionary and optimized, the existing 'fixed subject type' training quality evaluation is converted into core competence training evaluation (CBTA) based on observable behaviors, and therefore a flight training quality rating method based on observable behaviors needs to be established by taking a core competence evaluation index system constructed by ICAO as a reference.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a flight training quality rating method based on observable behaviors, a typical subject observation item measurement table is designed and an evaluation matrix is constructed based on a traditional flight training performance assessment operation mode and a CBTA theory constructed by ICAO, an OB-based competence rating model is constructed to obtain a rating standard, a solution is provided for optimizing competence rating at each stage of initial flight training, and the problems in the background art are solved.
In order to achieve the purpose, the invention provides the following technical scheme: a method for flight training quality rating based on observable behavior, comprising the steps of:
s1, constructing a training and evaluating work sheet, wherein the work sheet comprises typical subjects to be investigated, observation items of each subject, a scoring standard and a score;
s2, constructing an observation item-OB incidence matrix;
s3, obtaining a measurement vector A by an examiner according to the training evaluation work sheet;
s4, constructing a competence evaluation matrix Y;
s5, evaluating the matrix Y according to competence, and introducing relative norm
Figure BDA0003862207830000021
Frequency f of representation of observable behavior OB ofn And a presentation number f mny The evaluation model of (2);
s6, obtaining a grading threshold value by solving an optimization problem according to the evaluation model
Figure BDA0003862207830000022
And gamma 1 、γ 2 、γ 3 The trainees are then rated according to the classified competency rating criteria.
Preferably, in step S2, an association is established between any observation item i and the competency observable behavior index OBj, and is represented by an observation item-OB association matrix B,
Figure BDA0003862207830000031
wherein, b ij Represents the associated attribute of the ith observation item and the jth OB, i =1, 2.·, m; j =1,2,. N; b ij If =1, it means that the ith observation item has a mapping relation with the jth OB, otherwise, it is 0.
Preferably, in step S3, according to the evaluation criteria of the observation items of the training evaluation worksheet, the corresponding checking and scoring are performed on the observation item performance when the trainee completes each subject, so as to obtain the result of measuring the observation items, and form an observation vector a,
A=(a i ) m×1 =(a 1 ,a 2 ,…,a m ) T ,i=1,2,...,m,
wherein, a i The score of the ith observation term is the maximum value
Figure BDA0003862207830000032
For the full score value of the observation item, when all the observation items are full scores, the observation vector can be obtained
Figure BDA0003862207830000033
Preferably, the scoring criteria include checking items and key review items; item selection is performed: a score of 0 or 1 to evaluate whether completion, 1 completion, not 0 completion; the key research items are as follows: the scores are 3,2,1 and 0, which respectively correspond to the completion standard of the specific observation items.
Preferably, in step S4, elements in the observation vector a are multiplied by corresponding rows in the association matrix respectively by using the observation vector a and the observation item-OB association matrix to obtain an evaluation matrix Y of competence,
Figure BDA0003862207830000034
wherein, a i b ij Representing the contribution level of the ith observation to OBj.
Preferably, in step S5, the evaluation model is expressed as follows:
Figure BDA0003862207830000041
Figure BDA0003862207830000042
when all the observation items are fully divided, namely the observation vector
Figure BDA0003862207830000043
Then, OB number f is obtained according to the evaluation model mny Frequency f ofn The maximum value of (d) is:
Figure BDA0003862207830000044
Figure BDA0003862207830000045
aiming at the condition that training and examination worksheets related to different training institutions and different training courses have differences in the arrangement of observation items and completion standards and are convenient for unifying competency rating standards, relative norms are introduced as follows, wherein
Figure BDA0003862207830000046
Figure BDA0003862207830000047
Preferably, the step of solving the optimization problem results in a step thresholdOptimal solution
Figure BDA0003862207830000048
And gamma 1 、γ 2 、γ 3 The method comprises the following steps:
Figure BDA0003862207830000049
wherein, P exa Rating of the examiner to the student, P exa = excellent, good, medium, poor } = {4,3,2,1}; p ofn Is composed of
Figure BDA0003862207830000051
Classification of (2), P mny Is composed of
Figure BDA0003862207830000052
The degree of the division is such that,
Figure BDA0003862207830000053
and gamma 1 、γ 2 、γ 3 Is composed of
Figure BDA0003862207830000054
Classification threshold of, P OB Is according to P ofn And P mny Competency ratings derived based on the VENN criteria.
The invention has the beneficial effects that: the invention designs a typical subject observation item measuring table and a constructed competence evaluation matrix based on a traditional flight training performance evaluation operation mode and a CBTA theory constructed by ICAO, provides a solution for solving the competence rating optimization of each stage of initial flight training, can be used as a quantitative performance evaluation tool in the practical skill evaluation of each stage of the initial flight training, and is in seamless connection with the existing initial flight training evaluation mode based on a work sheet.
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FIG. 1 is a schematic diagram of a process framework of the present invention;
FIG. 2 is a schematic diagram of the steps of the method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and 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, belong to the protection scope of the present invention.
Example 1
In order to ensure the maximum consistency and objectivity of the assessment of the competencies of the trainee, the number of OBs (namely HOW MANY), the frequency (namely HOW OFTEN) and the threatens and error management results which are particularly relevant to the competencies need to be evaluated from three dimensions of the OB displayed by the trainee. Where the dimension "How many" (How many) indicates whether the trainee has the ability, "frequency" (How fonn) indicates the robustness used to judge the trainee's ability, "TEM's result" (out com) indicates evidence related to the ability's effectiveness as a countermeasure for threats and errors by individuals and teams, and competency assessment (How well) is a combination of the number of OB shown and their frequency and the corresponding results of threat and error management that are particularly relevant to the competency assessed.
The traditional flight training evaluation mode mainly depends on subjective judgment of an examiner on the quality level of each subject of a flight student, lacks quantitative analysis, particularly cannot carry out comprehensive quantitative evaluation on each competence level and structure of the student, and cannot meet the requirement of full-life-cycle management of pilot skills.
CBTA evaluation systems such as EBT handbooks, PLM systems and the like constructed by ICAO at present are more mature pilots facing to the airline stock company, and are not suitable for training characteristics based on fixed subjects in the initial flight training stage; the proposed VENN assessment criterion does not lack quantitative criteria for the grading of two dimensions, OB exposure "quantity" (How may), "frequency" (How may), involved in the ability rating, but is completely dependent on the experiential judgment of the examiner and thus still subjective. Therefore, for each stage of the initial flight training, how to reasonably define the Observable Behavior (OB) of each competence, and determine the grading standard of the relevant OB exhibiting "quantity" (How many) "and" frequency "(How fonn)" is a problem to be solved, which is related to the operability of the initial flight training CBTA.
For this purpose, it is necessary to establish an operable competency assessment optimization method according to the competency culture requirements of each stage of the initial training, including observation items and scoring criteria of OB, association of observation items and OB, and competency ranking criteria based on OB exhibiting "number (How) data", "frequency (How) data, and the like.
The invention designs a training performance evaluation optimization scheme based on a traditional flight training performance evaluation work sheet mode and a VENN criterion, which is applicable to hierarchical quantitative evaluation of competency performances of each stage of initial flight training, and a specific frame is shown in figure 1, and comprises the following steps:
step 1: constructing a training assessment worksheet
The work order includes typical subjects to be reviewed, observation items for each subject, scoring criteria, and scores.
An initial training evaluation worksheet is designed, a unified evaluation worksheet is designed for each inspection project, and unified quantitative measurement of the mastery degree of the skills of the trainees can be realized by standardizing the observation items and the completion standards of each subject. In the assessment process, the flight examiner scores the observation items of the trainee in each subject according to the completion standard of the training assessment worksheet, and the observation vector scores of the observation items can be obtained.
According to the flight training practice examination standard issued by the bureau and the teaching outline requirements of each training institution, the flight experts design a uniform evaluation work sheet for each inspection project to standardize the typical subjects to be investigated,and the observation items and the completion standards of each subject are checked by the examiner against the evaluation worksheet to form an observation vector A = (a) i ) m×1 =(a 1 ,a 2 ,…,a m ) T I =1, 2.., m, the design of the evaluation worksheet is shown in table 1.
TABLE 1 design of initial flight training assessment worksheet
Figure BDA0003862207830000071
Step 2: construction of Observation term-OB correlation matrix
Each observation item corresponds to an observable behavior OB of a certain competent capacity, the flight expert opinion is solicited by utilizing a Delphi survey method, and the association between any observation item i and an observable behavior index OBj of the competent capacity can be constructed to form an association matrix.
The columns of the correlation matrix are observation terms, the rows are the evaluation dimensions of each term competency, such as OB1, OB2, etc., and the process of obtaining the correlation matrix is shown in table 2 below.
TABLE 2 Observation-OB Table design
Figure BDA0003862207830000072
Figure BDA0003862207830000081
From table 2 it can be derived that the correlation matrix is B,
Figure BDA0003862207830000082
and step 3: obtaining a measurement vector A by contrasting the training evaluation worksheet
And the examiner performs corresponding check scoring on the observation item performance when the student finishes each subject according to the observation item finishing standard of the evaluation work sheet to obtain the result of measuring the observation item and form an observation vector A.
And 4, step 4: constructing competency assessment matrix Y
According to the VENN evaluation criterion, the competence level of the student can be measured by counting the number and the frequency of OB shown in the assessment, and an evaluation matrix Y of the competence can be constructed by utilizing the observation vector A and the observation item-OB incidence matrix; and introduces the concept of norm, so that an OB exhibition frequency (HOW OFTEN) and quantity (HOW MANY) evaluation model based on the competence evaluation matrix can be obtained.
The elements in the observation vector a are multiplied by the corresponding rows in the association matrix B, respectively, to obtain the table shown in table 3.
TABLE 3 Table design of competency assessment matrix
Observation item OB1 OB2 OBn
Observation item 1 a 1 *b 11 a 1 *b 12 a 1 *b 1n
Observation item 2 a 2 *b 21 a 2 *b 22 a 2 *b 2n
Observation item m a m *b m1 a m *b m2 a m *b mn
From table 3, a competency assessment matrix Y can be obtained,
Figure BDA0003862207830000091
wherein, a i b ij Represents the ith observation item pairAt the level of contribution of OBj.
And 5: design competency rating criteria
By taking the operation ability rating of the daily instructor to the student as a reference, a competence assessment model is constructed, a rating function is constructed by converting the competence assessment model into an optimization problem, and the performance rating standard divided according to the competence can be obtained.
Example 2
The invention designs a flight training quality rating method based on observable behaviors based on a traditional flight training performance assessment work sheet mode and a VENN criterion, and as shown in figure 2, the flight training quality rating method comprises the following steps:
step (1): training assessment work sheet design based on typical subject observation item checking
A unified assessment worksheet is designed for each inspection project, and unified quantitative measurement of the mastery degree of the student skills can be realized by standardizing the observation items and the completion standards of each subject. And designing an initial training and evaluating work sheet, and scoring the observation items of the trainees in each subject according to the completion standard of the training and evaluating work sheet by flight examiners in the evaluation process.
The scoring criteria comprise two types, (1) items are selected in a check mode, the score is 0 or 1, and the items are used for evaluating whether the items are finished, if so, the items are 1, and the items are not finished being 0; (2) The items are mainly inspected, and are divided into 3,2,1 and 0 which respectively correspond to the specific observation item completion standard.
Step (2): construction of Observation item-OB incidence matrix
Each observation item corresponds to observable behaviors OB of any competence, the observation of flight expert opinion by the Delphi survey method can be used for establishing the association between any observation item i and observable behavior indexes OBj of the competence, and the association is expressed by an association matrix B,
Figure BDA0003862207830000092
wherein, b ij Represents the associated attribute of the ith observation item and the jth OB, i =1, 2.·, m; j =1,2. b is a mixture of ij If =1, it means that the ith observation item and the jth OB exist in a mappingAnd if not, taking 0.
And (3): forming a measurement vector A based on examiner checking
According to flight training practice examination standards issued by bureau and teaching outline requirements of each training mechanism, observation items and grading standards of each training subject can be analyzed, examiners check completion conditions of the students according to evaluation worksheets to obtain grades, and A = (a =) can be obtained i ) m×1 =(a 1 ,a 2 ,…,a m ) T I =1, 2.. Multidot.m, wherein, a i The score of the ith observation item is the maximum value
Figure BDA0003862207830000101
For the full score value of the observation item, when all the observation items are full scores, the observation vector can be obtained
Figure BDA0003862207830000102
And (4): constructing a competence evaluation matrix Y, introducing relative norm according to the competence evaluation matrix Y
Figure BDA0003862207830000103
Representing the frequency f of the observable behavior OB ofn And a presentation number f mny The evaluation model of (3).
According to the VENN criterion, the competency level of the student can be measured by counting the number and the frequency of OB shown in the assessment, and an evaluation matrix of the competency can be constructed by utilizing an observation vector A and an observation item-OB association matrix B as follows:
Figure BDA0003862207830000104
wherein a is i b ij Representing the contribution level of the ith observation item to OBj, the exhibition frequency f of the Observable Behavior (OB) can be represented by the norm of the Y matrix by using the attribute of the vector/matrix norm which measures the space length or size of the vector (or matrix) ofn And a presentation number f mny
When the frequency of OB display is higher than 25% of the maximum value, the OB is considered to be displayed, otherwise, the OB is not displayed. Calculating the norm of the evaluation matrix to obtain OB display number (f) based on the competence evaluation matrix mny ) Frequency (f) ofn ) The evaluation model of (2) is as follows:
Figure BDA0003862207830000105
Figure BDA0003862207830000111
when all observation items are full, observation vector is obtained
Figure BDA0003862207830000112
Then, OB number of exhibits (f) can be obtained from the evaluation matrix mmy ) Frequency (f) ofn ) The maximum value of (c) is:
Figure BDA0003862207830000113
Figure BDA0003862207830000114
in view of the situation that training and assessment worksheets related to different training institutions and different training courses have differences in the arrangement of observation items and completion standards and are convenient for unifying competency rating standards, the invention introduces the following relative norms, wherein
Figure BDA0003862207830000115
Figure BDA0003862207830000116
Figure BDA0003862207830000117
And (5): obtaining a threshold optimal solution by solving an optimization problem according to the evaluation model
Figure BDA0003862207830000118
And gamma 1 、γ 2 、γ 3 And then carrying out rating based on the competence, and obtaining rating standards divided according to the competence for rating optimization.
The method takes the operation ability grade of the examiner to the student as reference sample data, and can be converted into the solution of the optimization problem through sample parameters to obtain the optimal solution of the threshold value
Figure BDA0003862207830000119
And gamma 1 、γ 2 、γ 3 Performance may be rated based on competency.
Figure BDA00038622078300001110
Figure BDA00038622078300001111
Figure BDA00038622078300001112
P OB =min(P ofn ,P mny ) (11)
Figure BDA0003862207830000121
Wherein, P exa Grade of examiner to student is scored by P exa = excellent, good, medium, poor } = {4,3,2,1}. P ofn Is composed of
Figure BDA0003862207830000122
Classification of (2), P mny Is composed of
Figure BDA0003862207830000123
The degree of the division is such that,
Figure BDA0003862207830000124
and gamma 1 、γ 2 、γ 3 Is OB
Figure BDA0003862207830000125
Figure BDA0003862207830000126
Classification threshold of (P) OB Is according to P ofn And P mny And a competency rating based on the VENN criterion.
Figure BDA0003862207830000127
And gamma 1 、γ 2 、γ 3 Can be determined by solving the optimization problem formed by the equations (8) - (11).
The method is suitable for competence evaluation of each stage, and in view of different stages of initial flight training, different requirements are required on a pilot, different subject observation items and different scoring standards exist, and the capability of the pilot is gradually cultured, so that the method can be applied to other courses in the next step, an evaluation worksheet, an evaluation matrix and the like are respectively set by experts according to requirements and characteristics of the courses, and a performance evaluation model is established according to the process.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described in the foregoing embodiments, or equivalents may be substituted for elements thereof.

Claims (7)

1. A flight training quality rating method based on observable behavior is characterized by comprising the following steps:
s1, constructing a training and evaluating work sheet, wherein the work sheet comprises typical subjects to be investigated, observation items of each subject, a scoring standard and a score;
s2, constructing an observation item-OB incidence matrix;
s3, obtaining a measurement vector A by contrasting the training evaluation worksheet;
s4, constructing a competence evaluation matrix Y;
s5, evaluating the matrix Y according to competence, and introducing relative norm
Figure FDA0003862207820000011
Frequency f of representation of observable behavior OB ofn And the number f of displays mny The evaluation model of (2);
s6, obtaining the optimal solution of the threshold value by solving the optimization problem according to the evaluation model
Figure FDA0003862207820000012
And gamma 1 、γ 2 、γ 3 And then carrying out rating based on the competence, and obtaining rating standards divided according to the competence for rating optimization.
2. The method for flight training quality rating based on observable behavior of claim 1, wherein: in step S2, an association is established between any observation item i and the observable behavior index of competency OBj, represented by an observation item-OB association matrix B,
Figure FDA0003862207820000013
wherein, b ij Represents the associated attribute of the ith observation item and the jth OB, i =1, 2.·, m; j =1,2,. Ang, n; b ij If =1, it means that the ith observation item has a mapping relationship with the jth OB, otherwise, it takes 0.
3. The method for observable behavior-based flight training quality rating of claim 1, wherein: in step S3, according to the evaluation standard of the observation item of the training evaluation worksheet, corresponding checking and scoring is carried out on the observation item performance when the trainees finish each subject to obtain the result of measuring the observation item to form an observation vector A,
A=(a i ) m×1 =(a 1 ,a 2 ,,a m ) T ,i=1,2,...,m,
wherein, a i The score of the ith observation item is the maximum value
Figure FDA0003862207820000021
For the full score value of the observation item, when all the observation items are full scores, the observation vector can be obtained
Figure FDA0003862207820000022
4. The method for observable behavior-based flight training quality rating of claim 3, wherein: the scoring standard comprises checking items and key investigation items; item selection is performed: the score is 0 or 1 and is used for evaluating whether the completion is 1 or not and the non-completion is 0; the key research items are as follows: the scores are 3,2,1 and 0, which respectively correspond to the completion standard of the specific observation items.
5. The method for flight training quality rating based on observable behavior of claim 1, wherein: in step S4, elements in the observation vector A are multiplied with corresponding rows in the incidence matrix respectively by using the observation vector A and the observation item-OB incidence matrix to construct an evaluation matrix Y of competence,
Figure FDA0003862207820000023
wherein, a i b ij Representing the contribution level of the ith observation to OBj.
6. The method for flight training quality rating based on observable behavior of claim 1, wherein: in step S5, the evaluation model is expressed as follows:
Figure FDA0003862207820000024
Figure FDA0003862207820000025
when all observation items are full, namely the observation vector
Figure FDA0003862207820000026
Then, the OB number f is obtained according to the evaluation model mny Frequency f ofn The maximum value of (d) is:
Figure FDA0003862207820000027
Figure FDA0003862207820000028
aiming at the condition that training and examination worksheets related to different training institutions and different training courses have differences in the arrangement of observation items and completion standards and are convenient for unifying competency rating standards, relative norms are introduced as follows, wherein
Figure FDA0003862207820000031
Figure FDA0003862207820000032
Figure FDA0003862207820000033
7. The method for observable behavior-based flight training quality rating of claim 1, wherein: solving the optimization problem to obtain a threshold optimal solution
Figure FDA0003862207820000034
And gamma 1 、γ 2 、γ 3 The method comprises the following steps:
Figure FDA0003862207820000035
Figure FDA0003862207820000036
Figure FDA0003862207820000037
P OB =min(P ofn ,P mny )
Figure FDA0003862207820000038
γ 1 ≤γ 2 ≤γ 3
wherein, P exa Rating of the examiner to the student, P exa = excellent, good, medium, poor } = {4,3,2,1}; p ofn Is composed of
Figure FDA0003862207820000039
Grade of division, P mny Is composed of
Figure FDA00038622078200000310
Divided or the likeThe number of stages is such that,
Figure FDA00038622078200000311
and gamma 1 、γ 2 、γ 3 Is composed of
Figure FDA00038622078200000312
Classification threshold of (P) OB Is according to P ofn And P mny Competency ratings derived based on the VENN criteria.
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