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CN115587693A - A Method for Rating Flight Training Quality Based on Observable Behaviors - Google Patents

A Method for Rating Flight Training Quality 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

一种基于可观察行为的飞行训练质量评级的方法A Method for Rating Flight Training Quality Based on Observable Behaviors

技术领域technical field

本发明涉及飞行训练评级技术领域,具体涉及一种基于可观察行为的飞行训练质量评级的方法。The invention relates to the technical field of flight training rating, in particular to a method for rating flight training quality based on observable behavior.

背景技术Background technique

飞行训练是为保证飞行安全,实现民航高质量发展的基础,科学规范的训练质量评估体系是控制训练质量、提升训练效率的关键环节。为减缓飞行机组成员在飞行中遇到的风险特别是为应对逐渐复杂的民航系统,国际民用航空组织(以下简称ICAO)提出飞行训练及评估应侧重于知识应用(KNO)、程序应用和遵守规章(APK)、自动航径管理(FPA)、人工航径管理(FPM)、沟通(COM)、领导力与团队合作(LTW)、情景意识与信息管理(SAW)、工作负荷管理(WLM)、问题解决与决策(PSD)等九大飞行员核心胜任力理念,并在《全球航空安全计划》(GASP)中强调将基于胜任力的训练和评估(Competency Based Training System,CBTA),作为持续改善全球航空安全的战略。Flight training is the basis for ensuring flight safety and realizing the high-quality development of civil aviation. A scientific and standardized training quality evaluation system is a key link to control training quality and improve training efficiency. In order to mitigate the risks encountered by flight crew members in flight, especially in response to the increasingly complex civil aviation system, the International Civil Aviation Organization (hereinafter referred to as ICAO) proposes that flight training and assessment should focus on knowledge application (KNO), program application and compliance with regulations (APK), Automated Path Management (FPA), Manual Path Management (FPM), Communication (COM), Leadership and Teamwork (LTW), Situational Awareness and Information Management (SAW), Workload Management (WLM), Problem-solving and decision-making (PSD) and other nine core competency concepts of pilots, and in the "Global Aviation Safety Plan" (GASP) emphasized the use of competency-based training and assessment (Competency Based Training System, CBTA) as a continuous improvement of the global Aviation Safety Strategy.

此外,飞行员技能全寿命周期管理(PLM)是全球民航界飞行员技能管理范式的发展方向,而其前提是建立一套贯穿飞行员技能全寿命周期的能力评价指标体系,为此国际民航组织和IATA建立了九大胜任力指标体系,并定义了每项胜任力的考察维度。因此,为了在全行业推进PLM管理范式落地,需要从初始飞行训练阶段开始就按照ICAO构建的核心胜任力评估指标体系改进飞行员训练质量评价方法。In addition, pilot skills life cycle management (PLM) is the development direction of pilot skill management paradigm in the global civil aviation industry, and its premise is to establish a set of ability evaluation index system that runs through the life cycle of pilot skills. For this reason, ICAO and IATA established The nine competency index systems are defined, and the inspection dimensions of each competency are defined. Therefore, in order to promote the implementation of the PLM management paradigm in the whole industry, it is necessary to improve the pilot training quality evaluation method according to the core competency evaluation index system built by ICAO from the initial flight training stage.

目前暂行的飞行训练评估方式是以科目为训练载体实施的,主要由考试员通过对学员飞行过程的观察给出“通过”、“不通过”的结论,无法实现对学员的各项胜任力水平及其分布进行科学评估。因此,现有的训练质量评估方法亟需变革和优化,从旧有的“固定科目式”训练质量评估转为基于可观察行为的核心胜任力训练评估(CBTA),为此需要以ICAO构建的核心胜任力评估指标体系为基准,建立一种基于可观察行为的飞行训练质量评级方法。The current temporary flight training evaluation method is implemented with subjects as the training carrier. The examiners mainly give the conclusions of "pass" and "fail" through the observation of the flight process of the students, which cannot realize the various competency levels of the students. and its distribution for scientific evaluation. Therefore, the existing training quality assessment methods urgently need to be reformed and optimized, from the old "fixed subject" training quality assessment to the core competency training assessment (CBTA) based on observable behavior. Based on the core competency evaluation index system, a flight training quality rating method based on observable behavior is established.

发明内容Contents of the invention

为解决现有技术中存在的问题,本发明提供了一种基于可观察行为的飞行训练质量评级的方法,基于传统飞行训练绩效考核运行模式以及ICAO构建的 CBTA理论,设计典型科目观测项测量表和构建评估矩阵,并构建基于OB的胜任力评级模型,得到评级标准,为解决初始飞行训练各阶段的胜任力评级优化提供解决方案,解决了上述背景技术中提到的问题。In order to solve the problems existing in the prior art, the present invention provides a method of flight training quality rating based on observable behavior, based on the traditional flight training performance appraisal operation mode and the CBTA theory constructed by ICAO, a typical subject observation item measurement table is designed And build the evaluation matrix, and construct the competency rating model based on OB, obtain the rating standard, provide a solution for solving the optimization of the competency rating in each stage of the initial flight training, and solve the problems mentioned in the above-mentioned background technology.

为实现上述目的,本发明提供如下技术方案:一种基于可观察行为的飞行训练质量评级的方法,包括如下步骤:In order to achieve the above object, the present invention provides the following technical solutions: a method of flight training quality rating based on observable behavior, comprising the following steps:

S1、构建训练评估工作单,工作单包括需考察的典型科目、每个科目的观测项、评分标准和评分;S1. Construct a training evaluation worksheet, which includes typical subjects to be investigated, observation items for each subject, scoring standards and scoring;

S2、构建观测项—OB关联矩阵;S2. Construct observation item-OB correlation matrix;

S3、由考试员根据训练评估工作单得到测量向量A;S3. The examiner obtains the measurement vector A according to the training evaluation worksheet;

S4、构建胜任力评估矩阵Y;S4. Construct the competency evaluation matrix Y;

S5、根据胜任力评估矩阵Y,引入相对范数

Figure BDA0003862207830000021
表征得到可观察行为 OB的展现频度fofn和展现数量fmny的评估模型;S5. According to the competency evaluation matrix Y, introduce the relative norm
Figure BDA0003862207830000021
Characterize and obtain the evaluation model of the display frequency f ofn and the display quantity f mny of the observable behavior OB;

S6、根据评估模型通过求解优化问题,得到分级阈值

Figure BDA0003862207830000022
和γ1、γ2、γ3,然后根据所划分的胜任力评级标准对学员进行评级。S6. According to the evaluation model, the classification threshold is obtained by solving the optimization problem
Figure BDA0003862207830000022
And γ 1 , γ 2 , γ 3 , and then grade the trainees according to the divided competency rating standards.

优选的,在步骤S2中,将任意观测项i与胜任力可观察行为指标OBj间建立关联,并以观测项—OB关联矩阵B表示,Preferably, in step S2, a correlation is established between any observation item i and the competency observable behavior index OBj, and is represented by the observation item-OB correlation matrix B,

Figure BDA0003862207830000031
Figure BDA0003862207830000031

其中,bij表示第i个观测项与第j个OB的关联属性,i=1,2,...,m;j= 1,2,...,n;bij=1时表示第i个观测项与第j个OB存在映射关系,否则取0。Among them, b ij represents the associated attribute between the i-th observation item and the j-th OB, i=1,2,...,m; j=1,2,...,n; when b ij =1, it means the There is a mapping relationship between the i observation item and the jth OB, otherwise it is 0.

优选的,在步骤S3中,根据训练评估工作单的观测项评分标准,对学员完成各科目时观测项表现进行相应的勾选评分,得到对观测项测量的结果,形成观测向量A,Preferably, in step S3, according to the observation item scoring standard of the training evaluation worksheet, the performance of the observation items when the students complete each subject is checked and scored accordingly, and the measurement results of the observation items are obtained to form the observation vector A,

A=(ai)m×1=(a1,a2,…,am)T,i=1,2,...,m,A=(a i ) m×1 =(a 1 ,a 2 ,...,a m ) T , i=1,2,...,m,

其中,ai为第i个观测项的评分,其最大值

Figure BDA0003862207830000032
为该观测项的满分值,当所有观测项均取满分时可得到观测向量
Figure BDA0003862207830000033
Among them, a i is the score of the i-th observation item, and its maximum value
Figure BDA0003862207830000032
is the full score value of the observation item, when all observation items take full marks, the observation vector can be obtained
Figure BDA0003862207830000033

优选的,所述的评分标准包括勾选项目和重点考察项目;勾选项目:得分为 0或1,用于评估是否完成,完成为1,未完成为0;重点考察项目:得分为3、 2、1、0,分别对应具体的观测项完成标准。Preferably, the scoring criteria include checked items and key inspection items; checked items: score 0 or 1, used to evaluate whether it is completed, 1 if completed, 0 if not completed; key inspection items: score 3, 2 , 1, 0, respectively corresponding to the completion criteria of specific observation items.

优选的,在步骤S4中,利用观测向量A和观测项-OB关联矩阵,将观测向量A中的元素分别与关联矩阵中对应行相乘,得到胜任力的评估矩阵Y,Preferably, in step S4, using the observation vector A and the observation item-OB correlation matrix, the elements in the observation vector A are multiplied by the corresponding rows in the correlation matrix to obtain the competency evaluation matrix Y,

Figure BDA0003862207830000034
Figure BDA0003862207830000034

其中,aibij代表第i个观测项对于OBj的贡献水平。Among them, a i b ij represents the contribution level of the i-th observation item to OBj.

优选的,在步骤S5中,所述评估模型表达如下:Preferably, in step S5, the evaluation model is expressed as follows:

Figure BDA0003862207830000041
Figure BDA0003862207830000041

Figure BDA0003862207830000042
Figure BDA0003862207830000042

当所有观测项均取满分,即观测向量

Figure BDA0003862207830000043
时,根据评估模型可得到OB展现数量fmny、频度fofn的最大值为:When all observations are full marks, the observation vector
Figure BDA0003862207830000043
, according to the evaluation model, the maximum value of OB display quantity f mny and frequency f ofn can be obtained as:

Figure BDA0003862207830000044
Figure BDA0003862207830000044

Figure BDA0003862207830000045
Figure BDA0003862207830000045

针对不同训练机构、不同训练课程所涉及训练考核工作单在观测项及完成标准设置上存在差异的情况,并便于统一胜任力评级标准,引入相对范数如下,其中

Figure BDA0003862207830000046
In view of the fact that there are differences in the observation items and completion standard settings of the training assessment worksheets involved in different training institutions and different training courses, and to facilitate the unification of the competency rating standards, the relative norms are introduced as follows, where
Figure BDA0003862207830000046

Figure BDA0003862207830000047
Figure BDA0003862207830000047

优选的,求解优化问题得到分级阈值的最优解

Figure BDA0003862207830000048
和γ1、γ2、γ3,具体如下:Preferably, the optimal solution of the classification threshold is obtained by solving the optimization problem
Figure BDA0003862207830000048
and γ 1 , γ 2 , γ 3 , as follows:

Figure BDA0003862207830000049
Figure BDA0003862207830000049

其中,Pexa为考试员对学员的等级评分,Pexa={优,良,中,差}= {4,3,2,1};Pofn

Figure BDA0003862207830000051
的分级,Pmny
Figure BDA0003862207830000052
划分的等级,
Figure BDA0003862207830000053
和γ1、γ2、γ3
Figure BDA0003862207830000054
的分级阈值,POB为根据Pofn和Pmny基于VENN准则得出的胜任力评级。Among them, P exa is the examiner's rating of the students, P exa = {excellent, good, medium, poor} = {4, 3, 2, 1}; P ofn is
Figure BDA0003862207830000051
The classification of P mny is
Figure BDA0003862207830000052
grades of division,
Figure BDA0003862207830000053
and γ 1 , γ 2 , γ 3 are
Figure BDA0003862207830000054
P OB is the competency rating based on P ofn and P mny based on the VENN criteria.

本发明的有益效果是:本发明基于传统飞行训练绩效考核运行模式以及 ICAO构建的CBTA理论,设计典型科目观测项测量表和构建胜任力评估矩阵,为解决初始飞行训练各阶段的胜任力评级优化提供解决方案,其方案能在初始飞行训练各阶段实践技能考核中为作为量化绩效评估工具,与现行的基于工作单的初始飞行训练考核模式无缝衔接,本发明在初始训练阶段引入基于胜任力的训练和评估(CBTA)指标体系,为航空公司实施飞行员技能全生命周期管理 (PLM)提供基础数据支撑。The beneficial effects of the present invention are: the present invention is based on the traditional flight training performance assessment operation mode and the CBTA theory constructed by ICAO, designs typical subject observation item measurement tables and builds competency evaluation matrix, and optimizes the competency rating for each stage of initial flight training A solution is provided, which can be used as a quantitative performance evaluation tool in the practical skills assessment of each stage of initial flight training, seamlessly connected with the current initial flight training assessment mode based on work orders, and the present invention introduces competency-based The training and assessment (CBTA) index system provides basic data support for airlines to implement pilot skill life cycle management (PLM).

附图说明Description of drawings

图1为本发明方法框架示意图;Fig. 1 is a schematic diagram of the framework of the method of the present invention;

图2为本发明方法步骤示意图。Fig. 2 is a schematic diagram of the steps of the method of the present invention.

具体实施方式detailed description

下面将结合本发明实施例中的附图,对本发明实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本发明一部分实施例,而不是全部的实施例。基于本发明中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本发明保护的范围。The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

实施例1Example 1

基于胜任力的训练和评估(CBTA)强调绩效及衡量标准,并针对特定绩效标准开展培训,为了确保对学员各项胜任力评估最大程度的一致性和客观性,需要从受训者所展现OB的数量(即HOW MANY)、频率(即HOW OFTEN),以及与胜任力特别相关的威胁和错误管理结果这三个维度对胜任力进行评估。其中“多少”(How many)这一维度表示受训者是否具备了该项能力,“频率”(How often)表示用来判断受训者能力的稳健性,“TEM的结果”(Outcome)表示与能力有效性相关的证据,作为个人和团队针对威胁和错误的对策,而胜任力评估(How well)是综合所展现OB的数量及其频率以及与所评估的胜任力特别相关的威胁和错误管理的相应结果的组合。Competency-based training and assessment (CBTA) emphasizes performance and measurement standards, and conducts training for specific performance standards. In order to ensure the greatest degree of consistency and objectivity in the assessment of trainees' competencies, it is necessary to demonstrate OB's skills from trainees. Competency is assessed in three dimensions: quantity (ie, HOW MANY), frequency (ie, HOW OFTEN), and the threat and error management outcomes that are particularly relevant to competency. Among them, the dimension of "How many" indicates whether the trainee possesses the ability, "How often" indicates the robustness used to judge the ability of the trainee, and "Outcome of TEM" indicates the relationship between the ability and the ability of the trainee. Evidence related to effectiveness as individual and team countermeasures against threats and errors, while the competency assessment (How well) is a combination of the number of demonstrated OBs and their frequency, and the management of threats and errors that are particularly relevant to the assessed competencies combination of corresponding results.

传统的飞行训练评估方式主要依赖考试员对飞行学员完成各科目的质量水平的主观判断,缺乏量化分析,特别是无法对学员的各项胜任力水平及结构做出较为全面的量化评估,无法满足飞行员技能全生命周期管理的需要。The traditional flight training evaluation method mainly relies on the subjective judgment of the examiners on the quality level of the pilot students' completion of various subjects, lacks quantitative analysis, especially cannot make a more comprehensive quantitative evaluation of the various competency levels and structures of the students, and cannot satisfy The need for full lifecycle management of pilot skills.

ICAO目前构建的CBTA评价体系如EBT手册、PLM体系等,更多是面向航空股公司的成熟飞行员,并不适用于初始飞行训练阶段的基于固定科目的训练特点;其提出的VENN评估准则并未对能力评级所涉及的OB展现“数量(How many)”、“频率(How often)”这两个维度的分级缺乏量化标准,而完全依赖于考试员的经验判断,因而仍具有主观性。因此,对于初始飞行训练的各阶段而言,如何对各项胜任力的可观察行为(OB)进行合理界定,并确定相关OB的展现“数量(How many)”、“频率(How often)”的分级标准是有待解决的难题,这关系到初始飞行训练CBTA的可操作性。The CBTA evaluation system currently constructed by ICAO, such as the EBT manual and the PLM system, is more aimed at mature pilots of airline companies, and is not suitable for the training characteristics based on fixed subjects in the initial flight training stage; the VENN evaluation criteria proposed by ICAO are not There is no quantitative standard for the grading of the two dimensions of OB performance "How many" and "How often" involved in the ability rating, and it is completely dependent on the experience and judgment of the examiner, so it is still subjective. Therefore, for each stage of initial flight training, how to reasonably define the observable behavior (OB) of each competency, and determine the "quantity (How many)" and "frequency (How often)" of the relevant OBs The grading standard is a difficult problem to be solved, which is related to the operability of the initial flight training CBTA.

为此,有必要根据初始训练各阶段的能力培养要求,建立具备可操作的胜任力评估优化方法,包括OB的观测项及评分标准、观测项与OB的关联,以及基于OB展现“数量(Howmany)”、“频率(How often)”数据的胜任力评级标准等。Therefore, it is necessary to establish an operable competency assessment optimization method based on the ability training requirements at each stage of the initial training, including the observation items and scoring standards of OB, the relationship between observation items and OB, and the "quantity" based on OB (Howmany )”, “How often” data competency rating standards, etc.

本发明基于传统飞行训练绩效考核的工作单模式以及VENN准则,设计了一种基于VENN准则的训练绩效评估优化方案,可适用于初始飞行训练各阶段的胜任力表现进行分级量化评估,具体框架如图1所示,包括如下步骤:The present invention designs a training performance evaluation optimization scheme based on the VENN criterion based on the traditional flight training performance evaluation worksheet mode and the VENN criterion, which can be applied to the hierarchical and quantitative evaluation of the competency performance at each stage of the initial flight training. The specific framework is as follows: As shown in Figure 1, it includes the following steps:

步骤1:构建训练评估工作单Step 1: Build a training evaluation worksheet

工作单包括需考察的典型科目、每个科目的观测项、评分标准和评分。The worksheet includes typical subjects to be investigated, observation items for each subject, scoring criteria and scoring.

设计初始训练评估工作单,对每个检查项目设计统一的评估工作单,通过规范每个科目的观测项和完成标准,可以实现对学员技能的掌握程度的统一量化度量。在考核过程中,由飞行考试员依据该训练评估工作单的完成标准,对学员在每个科目的观测项进行评分,即可得到观测项的观测向量得分。Design the initial training evaluation worksheet, and design a unified evaluation worksheet for each inspection item. By standardizing the observation items and completion standards of each subject, a unified quantitative measurement of the mastery of trainees' skills can be achieved. During the assessment process, the flight examiner will score the observation items of each subject according to the completion standard of the training evaluation worksheet, and then the observation vector score of the observation items can be obtained.

根据局方颁布的飞行训练实践考试标准和各训练机构的教学大纲要求,由飞行专家对每个检查项目设计统一的评估工作单,规范需考察的典型科目,以及每个科目的观测项和完成标准,由考试员对照评估工作单对学员完成情况进行勾选,形成观测向量A=(ai)m×1=(a1,a2,…,am)T,i=1,2,...,m,评估工作单的设计如表1所示。According to the flight training practice test standards promulgated by the bureau and the teaching syllabus requirements of each training institution, flight experts design a unified evaluation worksheet for each inspection item, standardize the typical subjects to be investigated, and the observation items and completion of each subject. standard, the examiner checks the completion of the students 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.

表1初始飞行训练评估工作单的设计Table 1 Design of initial flight training evaluation worksheet

Figure BDA0003862207830000071
Figure BDA0003862207830000071

步骤2:构建观测项—OB关联矩阵Step 2: Construct observation items—OB correlation matrix

每个观测项都对应于某项胜任力的可观察行为OB,利用德尔菲调查法征求飞行专家意见,可以构建任意观测项i与胜任力可观察行为指标OBj间建立关联,组成关联矩阵。Each observation item corresponds to the observable behavior OB of a certain competency. Using the Delphi survey method to solicit the opinions of flight experts, a correlation matrix can be constructed between any observation item i and the observable behavior index OBj of the competency.

关联矩阵的列是观测项,行是每项胜任力的评估维度,如OB1、OB2等,得到关联矩阵的过程如下表2所示。The columns of the correlation matrix are observation items, and the rows are the evaluation dimensions of each competency, such as OB1, OB2, etc. The process of obtaining the correlation matrix is shown in Table 2 below.

表2观测项-OB表格设计Table 2 Observation items - OB table design

Figure BDA0003862207830000072
Figure BDA0003862207830000072

Figure BDA0003862207830000081
Figure BDA0003862207830000081

由表2可以得到关联矩阵为B,From Table 2, the correlation matrix can be obtained as B,

Figure BDA0003862207830000082
Figure BDA0003862207830000082

步骤3:对照训练评估工作单得到测量向量AStep 3: Obtain the measurement vector A against the training evaluation worksheet

由考试员根据评估工作单的观测项完成标准,对学员完成各科目时观测项表现进行相应的勾选评分,得到对观测项测量的结果,形成观测向量A。According to the completion standards of the observation items in the evaluation worksheet, the examiners will check and score the performance of the observation items when the students complete each subject, obtain the measurement results of the observation items, and form the observation vector A.

步骤4:构建胜任力评估矩阵YStep 4: Construct the competency assessment matrix Y

根据VENN评估准则,学员的胜任力等级可以通过统计其在考核中所展现 OB的数量和频度测量,利用观测向量A和观测项-OB关联矩阵,可构建胜任力的评估矩阵Y;并引入范数的概念,由此可得到基于胜任力评估矩阵的OB展现频度(HOW OFTEN)、数量(HOW MANY)评估模型。According to the VENN evaluation criteria, the competency level of the trainees can be measured by counting the number and frequency of OBs exhibited in the assessment, using the observation vector A and the observation item-OB correlation matrix, the competency evaluation matrix Y can be constructed; and the introduction Based on the concept of norm, the OB presentation frequency (HOW OFTEN) and quantity (HOW MANY) evaluation model based on the competency evaluation matrix can be obtained.

将观测向量A中的元素分别与关联矩阵B中对应行相乘,可得到如表3所示表格。Multiply the elements in the observation vector A with the corresponding rows in the correlation matrix B, and the table shown in Table 3 can be obtained.

表3胜任力评估矩阵的表格设计Table 3 Table design of the competency assessment matrix

观测项Observation item OB1OB1 OB2ob2 OBnOB 观测项1Observation item 1 a<sub>1</sub>*b<sub>11</sub>a<sub>1</sub>*b<sub>11</sub> a<sub>1</sub>*b<sub>12</sub>a<sub>1</sub>*b<sub>12</sub> a<sub>1</sub>*b<sub>1n</sub>a<sub>1</sub>*b<sub>1n</sub> 观测项2Observation item 2 a<sub>2</sub>*b<sub>21</sub>a<sub>2</sub>*b<sub>21</sub> a<sub>2</sub>*b<sub>22</sub>a<sub>2</sub>*b<sub>22</sub> a<sub>2</sub>*b<sub>2n</sub>a<sub>2</sub>*b<sub>2n</sub> 观测项mObservation item m a<sub>m</sub>*b<sub>m1</sub>a<sub>m</sub>*b<sub>m1</sub> a<sub>m</sub>*b<sub>m2</sub>a<sub>m</sub>*b<sub>m2</sub> a<sub>m</sub>*b<sub>mn</sub>a<sub>m</sub>*b<sub>mn</sub>

可由表3得出,即可得到胜任力评估矩阵Y,It can be concluded from Table 3 that the competency evaluation matrix Y can be obtained,

Figure BDA0003862207830000091
Figure BDA0003862207830000091

其中,aibij代表第i个观测项对于OBj的贡献水平。Among them, a i b ij represents the contribution level of the i-th observation item to OBj.

步骤5:设计胜任力评级标准Step 5: Design Competency Rating Criteria

借鉴日常教员对学员的操纵能力评级为参照,构建胜任力评估模型,通过转换为优化问题,来构建评级函数,即可得到根据胜任力所划分的绩效评级标准。Refer to the daily teacher's rating of the students' manipulation ability as a reference, construct a competency evaluation model, and construct a rating function by converting it into an optimization problem, and then get the performance rating standard divided by competency.

实施例2Example 2

本发明基于传统飞行训练绩效考核的工作单模式以及VENN准则,设计了一种基于可观察行为的飞行训练质量评级的方法,如图2所示,包括如下步骤:The present invention designs a kind of method based on the flight training quality rating of observable behavior based on the work list mode and VENN criterion of traditional flight training performance appraisal, as shown in Figure 2, comprises the following steps:

步骤(1):基于典型科目观测项勾选的训练评估工作单设计Step (1): Design of training and evaluation worksheets based on checks of typical subject observation items

对每个检查项目设计统一的评估工作单,通过规范每个科目的观测项和完成标准,可以实现对学员技能的掌握程度的统一量化度量。设计初始训练评估工作单,在考核过程中,由飞行考试员依据该训练评估工作单的完成标准,对学员在每个科目的观测项进行评分。A unified evaluation worksheet is designed for each inspection item. By standardizing the observation items and completion standards of each subject, a unified quantitative measurement of the mastery of the students' skills can be achieved. Design the initial training evaluation worksheet. During the assessment process, the flight examiner will score the observation items of the trainees in each subject according to the completion standard of the training evaluation worksheet.

评分标准包括两种,(1)勾选项目,得分为0或1,用于评估是否完成,如完成则为1,未完成为0;(2)重点考察项目,得分为3、2、1、0,分别对应具体的观测项完成标准。Scoring criteria include two types, (1) check the item, the score is 0 or 1, which is used to evaluate whether it is completed, if it is completed, it is 1, if it is not completed, it is 0; (2) the key inspection item, the score is 3, 2, 1, 0, respectively corresponding to the completion criteria of specific observation items.

步骤(2):构建观测项—OB关联矩阵Step (2): Construct observation item-OB correlation matrix

每个观测项都对应于某项胜任力的任力的可观察行为OB,利用德尔菲调查法征求飞行专家意见可以构建任意观测项i与胜任力可观察行为指标OBj间建立关联,并以关联矩阵B表示,

Figure BDA0003862207830000092
Each observation item corresponds to the observable behavior OB of a certain competency. Using the Delphi survey method to solicit the opinions of flight experts can establish a relationship between any observation item i and the observable behavior index OBj of the competency, and use the correlation Matrix B says,
Figure BDA0003862207830000092

其中,bij表示第i个观测项与第j个OB的关联属性,i=1,2,...,m;j= 1,2,...,n。bij=1时表示第i个观测项与第j个OB存在映射关系,否则取0。Among them, b ij represents the associated attribute between the i-th observation item and the j-th OB, i=1,2,...,m; j=1,2,...,n. When b ij =1, it means that there is a mapping relationship between the i-th observation item and the j-th OB, otherwise it takes 0.

步骤(3):基于考试员勾选形成测量向量AStep (3): Form the measurement vector A based on the examiner's check

根据局方颁布的飞行训练实践考试标准和各训练机构的教学大纲要求,可以解析出各训练科目的观测项和评分标准,由考试员对学员完成情况对照评估工作单进行勾选,得到评分,可得A=(ai)m×1=(a1,a2,…,am)T,i=1,2,...,m,其中,ai为第i个观测项的评分,其最大值

Figure BDA0003862207830000101
为该观测项的满分值,当所有观测项均取满分时可得到观测向量
Figure BDA0003862207830000102
According to the flight training practice test standards promulgated by the bureau and the teaching syllabus requirements of each training institution, the observation items and scoring standards of each training subject can be analyzed, and the examiners will check the completion of the students against the evaluation worksheet to get the score. A=(a i ) m×1 =(a 1 ,a 2 ,…,a m ) T , i=1,2,…,m, where a i is the score of the i-th observation item , its maximum value
Figure BDA0003862207830000101
is the full score value of the observation item, when all observation items take full marks, the observation vector can be obtained
Figure BDA0003862207830000102

步骤(4):构建胜任力评估矩阵Y,并根据胜任力评估矩阵Y,引入相对范数

Figure BDA0003862207830000103
表征得到可观察行为OB的展现频度fofn和展现数量fmny的评估模型。Step (4): Construct the competency evaluation matrix Y, and introduce the relative norm according to the competency evaluation matrix Y
Figure BDA0003862207830000103
The evaluation model of the display frequency f ofn and the display quantity f mny of the observable behavior OB is obtained by characterization.

根据VENN准则,学员的胜任力等级可以通过统计其在考核中所展现OB的数量和频度测量,利用观测向量A和观测项-OB关联矩阵B,可构建胜任力的评估矩阵如下:According to the VENN criterion, the competency level of trainees can be measured by counting the number and frequency of OBs exhibited in the assessment. Using the observation vector A and the observation item-OB correlation matrix B, the competency evaluation matrix can be constructed as follows:

Figure BDA0003862207830000104
Figure BDA0003862207830000104

其中aibij代表第i个观测项对于OBj的贡献水平,利用向量/矩阵的范数的所具有的度量向量(或矩阵)空间长度或大小的属性,可以利用Y矩阵的范数表征可观察行为(OB)的展现频度fofn和展现数量fmnywhere a i b ij represents the contribution level of the i-th observation item to OBj, using the attribute of the norm of the vector/matrix to measure the length or size of the vector (or matrix) space, the norm of the Y matrix can be used to characterize the The frequency of presentation f ofn and the number of presentations f mny of the observation behavior (OB).

当OB展现频度高于最大值的25%时,认为展现出该项OB,反之则未展现。计算评估矩阵范数得到基于胜任力评估矩阵的OB展现数量(fmny)、频度(fofn) 的评估模型,评估模型如下:When the OB display frequency is higher than 25% of the maximum value, it is considered that the OB is displayed, otherwise it is not displayed. Calculate the norm of the evaluation matrix to obtain the evaluation model based on the OB display quantity (f mny ) and frequency (f ofn ) of the competency evaluation matrix. The evaluation model is as follows:

Figure BDA0003862207830000105
Figure BDA0003862207830000105

Figure BDA0003862207830000111
Figure BDA0003862207830000111

当所有观测项均取满分也即观测向量

Figure BDA0003862207830000112
时,根据评估矩阵可得到OB展现数量(fmmy)、频度(fofn)的最大值为:When all observation items take full marks, that is, the observation vector
Figure BDA0003862207830000112
, according to the evaluation matrix, the maximum value of OB display quantity (f mmy ) and frequency (f ofn ) can be obtained as:

Figure BDA0003862207830000113
Figure BDA0003862207830000113

Figure BDA0003862207830000114
Figure BDA0003862207830000114

鉴于不同训练机构、不同训练课程所涉及训练考核工作单在观测项及完成标准设置上存在差异的情况,并便于统一胜任力评级标准,本发明引入相对范数如下,其中

Figure BDA0003862207830000115
In view of the fact that different training institutions and different training courses involve training assessment worksheets with differences in observation items and completion standard settings, and to facilitate the unification of competency rating standards, the present invention introduces relative norms as follows, wherein
Figure BDA0003862207830000115

Figure BDA0003862207830000116
Figure BDA0003862207830000116

Figure BDA0003862207830000117
Figure BDA0003862207830000117

步骤(5):根据评估模型通过求解优化问题,得到阈值最优解

Figure BDA0003862207830000118
和γ1、γ2、γ3,然后基于胜任力进行评级,得到根据胜任力所划分的评级标准用于评级优化。Step (5): According to the evaluation model, the optimal solution of the threshold is obtained by solving the optimization problem
Figure BDA0003862207830000118
And γ 1 , γ 2 , γ 3 , and then perform rating based on competency, and obtain the rating criteria divided by competency for rating optimization.

以考试员对学员的操纵能力评级为参照样本数据,通过样本参数,可转换为求解最优化问题,得到阈值最优解

Figure BDA0003862207830000119
和γ1、γ2、γ3,即可基于胜任力对绩效进行评级。Taking the examiner's rating of the students' manipulative ability as the reference sample data, through the sample parameters, it can be converted to solve the optimization problem and obtain the optimal solution of the threshold
Figure BDA0003862207830000119
And γ 1 , γ 2 , γ 3 , the performance can be rated based on competency.

Figure BDA00038622078300001110
Figure BDA00038622078300001110

Figure BDA00038622078300001111
Figure BDA00038622078300001111

Figure BDA00038622078300001112
Figure BDA00038622078300001112

POB=min(Pofn,Pmny) (11)P OB =min(P ofn ,P mny ) (11)

Figure BDA0003862207830000121
Figure BDA0003862207830000121

其中,Pexa为考试员对学员的等级评分,有Pexa={优,良,中,差}= {4,3,2,1}。Pofn

Figure BDA0003862207830000122
的分级,Pmny
Figure BDA0003862207830000123
划分的等级,
Figure BDA0003862207830000124
和γ1、γ2、γ3为OB
Figure BDA0003862207830000125
Figure BDA0003862207830000126
的分级阈值,POB为根据Pofn和Pmny,并基于 VENN准则得出的胜任力评级。
Figure BDA0003862207830000127
和γ1、γ2、γ3可通过求解(8)-(11)式构成的优化问题确定。Wherein, P exa is the examiner's grade rating for the students, and P exa = {excellent, good, medium, poor} = {4, 3, 2, 1}. P ofn is
Figure BDA0003862207830000122
The classification of P mny is
Figure BDA0003862207830000123
grades of division,
Figure BDA0003862207830000124
and γ 1 , γ 2 , γ 3 are OB
Figure BDA0003862207830000125
Figure BDA0003862207830000126
P OB is the competency rating based on P ofn and P mny and based on the VENN criteria.
Figure BDA0003862207830000127
and γ 1 , γ 2 , γ 3 can be determined by solving the optimization problem constituted by (8)-(11).

本发明方法适用于各个阶段的胜任力评估,鉴于初始飞行训练的不同阶段,对飞行员要求不同,科目观测项和评分标准存在差异,对飞行员的能力是循序渐进的培养,因此下一步可针对其他课程应用该方法,由专家针对课程要求和特点分别设置评估工作单、评估矩阵等,按照流程建立绩效评价模型。The method of the present invention is applicable to the competency assessment of each stage. In view of the different stages of the initial flight training, the requirements for the pilot are different, and there are differences in the subject observation items and scoring standards. The ability of the pilot is cultivated step by step, so the next step can be aimed at other courses Using this method, experts set up evaluation worksheets, evaluation matrices, etc. according to the requirements and characteristics of the course, and establish a performance evaluation model according to the process.

尽管参照前述实施例对本发明进行了详细的说明,对于本领域的技术人员来说,其依然可以对前述各实施例所记载的技术方案进行修改,或者对其中部分技术特征进行等同替换,凡在本发明的精神和原则之内,所作的任何修改、等同替换、改进等,均应包含在本发明的保护范围之内。Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments, or perform equivalent replacements for some of the technical features. Within the spirit and principles of the present invention, any modifications, equivalent replacements, improvements, etc., shall be included in the protection scope of the present invention.

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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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117291774A (en) * 2023-11-24 2023-12-26 山东航空股份有限公司 Method and system for pilot EBT course development and compliance verification
CN119228226A (en) * 2024-12-03 2024-12-31 北京瑞斯克企业管理咨询有限公司 A method and system for evaluating flight line operation safety

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007148867A1 (en) * 2006-06-20 2007-12-27 Industry-Academic Cooperation Foundation, Yonsei University Method of technology evaluation
CN107220761A (en) * 2017-05-24 2017-09-29 江西洪都航空工业集团有限责任公司 A kind of training plane effectiveness measures of effectiveness computational methods
CN110008442A (en) * 2019-03-21 2019-07-12 上海工程技术大学 A pilot training control method based on pilot comprehensive ability evaluation
US20210110731A1 (en) * 2019-10-14 2021-04-15 Honeywell International Inc. Systems and methods for evidence-based training of aircraft operators
CN112766729A (en) * 2021-01-20 2021-05-07 中国人民解放军火箭军工程大学 Method for evaluating capability of equipment maintenance training personnel
CN113298431A (en) * 2021-06-21 2021-08-24 北京航空航天大学 Aviation QAR big data-based pilot competence portrayal method and system
CN114241852A (en) * 2021-12-30 2022-03-25 中国民航科学技术研究院 Multi-source data fusion-based flight simulation training evaluation system and method for in-process aircraft
CN114299422A (en) * 2021-12-20 2022-04-08 中国人民解放军海军航空大学 Adaptive Evaluation Method of Flight Quality
CN114373360A (en) * 2021-12-17 2022-04-19 清华大学 Intelligent training system, method and device for flight simulator

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007148867A1 (en) * 2006-06-20 2007-12-27 Industry-Academic Cooperation Foundation, Yonsei University Method of technology evaluation
CN107220761A (en) * 2017-05-24 2017-09-29 江西洪都航空工业集团有限责任公司 A kind of training plane effectiveness measures of effectiveness computational methods
CN110008442A (en) * 2019-03-21 2019-07-12 上海工程技术大学 A pilot training control method based on pilot comprehensive ability evaluation
US20210110731A1 (en) * 2019-10-14 2021-04-15 Honeywell International Inc. Systems and methods for evidence-based training of aircraft operators
CN112766729A (en) * 2021-01-20 2021-05-07 中国人民解放军火箭军工程大学 Method for evaluating capability of equipment maintenance training personnel
CN113298431A (en) * 2021-06-21 2021-08-24 北京航空航天大学 Aviation QAR big data-based pilot competence portrayal method and system
CN114373360A (en) * 2021-12-17 2022-04-19 清华大学 Intelligent training system, method and device for flight simulator
CN114299422A (en) * 2021-12-20 2022-04-08 中国人民解放军海军航空大学 Adaptive Evaluation Method of Flight Quality
CN114241852A (en) * 2021-12-30 2022-03-25 中国民航科学技术研究院 Multi-source data fusion-based flight simulation training evaluation system and method for in-process aircraft

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
刘莉雯等: "多参数融合的飞行品质评估模型的建立", 《计算机工程与科学》, vol. 38, no. 6, pages 1262 - 1268 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117291774A (en) * 2023-11-24 2023-12-26 山东航空股份有限公司 Method and system for pilot EBT course development and compliance verification
CN117291774B (en) * 2023-11-24 2024-02-20 山东航空股份有限公司 Method and system for pilot EBT course development and compliance verification
CN119228226A (en) * 2024-12-03 2024-12-31 北京瑞斯克企业管理咨询有限公司 A method and system for evaluating flight line operation safety

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