Skill assessment training system and method based on expanded reality
By constructing personal files and analyzing answer data, determining the assessment completion degree, screening out skills that failed to meet standards, and arranging personalized learning tasks, the targeted and accurate problems of traditional skills assessment and training are solved, and intelligent and dynamic management is achieved.
Patent Information
- Application Number
- CN202510477174.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-16
- Publication Date
- 2025-07-08
AI Technical Summary
The traditional skills assessment and training methods are not targeted and difficult to meet personalized needs. The assessment and evaluation are not scientific and accurate enough. The training and assessment process are not data-driven, and intelligent and dynamic management cannot be achieved.
By obtaining assessment monitoring video materials, building personal files, counting the answer time, marking the test questions familiarity with the multiple range of the answer time, determining the assessment completion degree, and using historical data to judge the failure of the standards and their unmatched skills, filtering out the skill information that needs to be learned, and arranging personalized learning tasks.
It has achieved dynamic planning of learning tasks based on employees' actual skills shortcomings and assessment results, improving the pertinence and scientific nature of training, and improving the training effect and assessment accuracy.
Smart Images
Figure CN120278602A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of data analysis, and in particular, to a skill assessment and training system and method based on extended reality. Background Art
[0002] With the increasing emphasis of enterprises on the improvement of employees' skills and efficient management, skill assessment and training play an increasingly crucial role in the development of enterprises. As an important part of human resource management, the accuracy of skill assessment and training affects employees' career development and the core competitiveness of enterprises.
[0003] However, traditional skill assessment and training methods often face the following problems when dealing with diverse skill requirements, personalized training requirements, and accurate assessment: First, the training content lacks pertinence and is difficult to meet the personalized needs of employees. The skill improvement needs of different positions and employees vary greatly, but traditional training methods usually adopt unified training courses and content, without fully considering the job characteristics and personal skill weaknesses of employees, resulting in poor training effects, low employee participation enthusiasm, and waste of training resources. Second, the assessment method is not scientific and accurate enough to comprehensively and accurately measure the skill level of employees. Traditional skill assessments mostly rely on theoretical examinations and simple practical assessments, unable to comprehensively consider employees' skill application abilities, problem-solving abilities, and adaptability in actual work scenarios, and the assessment criteria are often not detailed and quantified. In addition, the training and assessment processes lack data-driven support and are difficult to achieve intelligent and dynamic management. Traditional methods cannot effectively collect, analyze, and utilize the data generated during the training and assessment processes, and cannot adjust the training content and methods in a timely manner according to employees' learning progress and assessment results. Summary of the Invention
[0004] The purpose of the present invention is to provide a skill assessment and training system and method based on extended reality to solve the problems raised in the prior art.
[0005] To achieve the above purpose, the present invention provides the following technical solution: A skill assessment and training method based on extended reality, the method comprising the following steps: Obtain the types of skills that the personnel to be assessed need to master; Construct a personal file of the personnel to be assessed by obtaining assessment monitoring video materials, count the answering time, take the average answering duration as a reference, mark the familiarity of the test questions in combination with the multiple range of the answering duration, and determine the assessment completion degree of the personnel to be assessed in this assessment; Determine the assessment completion threshold through historical data, identify the personnel who did not meet the standards in the assessment and the types of skills they did not master, record them in the personal file, sort the types of skills not mastered according to the number of people who did not master them, calculate the skill familiarity threshold, and screen out the skill information with the number of people who did not master it greater than the threshold according to the skill familiarity threshold, which is recorded as the first type of skill information; Screen out the personnel to be assessed whose assessment completion is lower than the set threshold and arrange learning tasks for them.
[0006] Obtain the types of skills that the personnel to be assessed need to master. The specific steps include: Obtain the data related to skill assessment, including the types of skills mastered by the positions corresponding to the personnel to be assessed; Determine the training content per class hour for the personnel to be assessed according to the skill assessment-related data, combined with the job skill requirements and training objectives.
[0007] Construct the personal file of the personnel to be assessed by obtaining the assessment monitoring video materials, count the answering time, take the average answering duration as a reference, mark the familiarity of the exam questions in combination with the answering duration multiple range, and determine the assessment completion of the personnel to be assessed in this assessment. The specific steps include: Obtain the monitoring video materials of the assessment; Construct the personal file of the personnel to be assessed, collect personal basic information and the answering time of each exam question during the assessment period; Statistically analyze the answering time of the personnel to be assessed for the i-th exam question. Divide the total answering duration of the i-th exam question by the total number of personnel to be assessed to obtain the average answering duration of the i-th exam question, where i is used to represent the identifier of the exam question, i = 1, 2,..., I, and I represents the total number of exam questions; Compare the answering duration of each personnel to be assessed for the i-th exam question with the average answering duration of the i-th exam question. When the answering duration of the personnel to be assessed for the i-th exam question is between e1 and e2 times the average answering duration of the i-th exam question, mark the familiarity of the i-th exam question for the personnel to be assessed as a, otherwise mark the familiarity of the i-th exam question for the personnel to be assessed as b, where a and b are the marking values used to identify the familiarity of the personnel to be assessed with the i-th exam question, e1 < e2, and e1 and e2 are the two parameters used to define the answering duration range. e1 represents the lower limit multiple of the answering duration range, and e2 represents the upper limit multiple of the answering duration range; Obtain the test questions corresponding to the assessment of the j-th skill type, and calculate the familiarity of the person to be assessed q with respect to the j-th skill type. Among them, the calculation formula for the familiarity of the person to be assessed q with respect to the j-th skill type is as follows. Calculate the familiarity of the person to be assessed q with respect to the test questions corresponding to the assessment of the j-th skill type, and add up the familiarity of each calculated test question. The sum obtained is the familiarity of the person to be assessed q with respect to the assessment of the j-th skill type. q is used to represent the identifier of the person to be assessed, q = 1, 2,..., Q, where Q represents the total number of people to be assessed, and j is used to distinguish the identifiers of different skill type assessments, j = 1, 2,..., J, where J represents the total number of skill type assessments; The assessor scores the answering situation of the person to be assessed in the assessment of the j-th skill type according to the assessment criteria to obtain the assessment score P; Based on the familiarity marking values of the person to be assessed with respect to each test question in the assessment of the j-th skill type, the number of test questions included in the assessment of the j-th skill type, and the assessment score of the person to be assessed q in the assessment of the j-th skill type, judge the assessment completion degree of the person to be assessed with respect to the j-th skill type: ; Among them, wq represents the test completion degree of the person to be assessed q, k represents the k-th test question in the assessment of the j-th skill type, k = 1, 2,..., m j , m j represents the number of test questions included in the assessment of the j-th skill type, a qjk represents the familiarity of the person to be assessed q with respect to the k-th test question in the assessment of the j-th skill type, a qjk is determined according to the above-defined method for the familiarity of the person to be assessed with respect to the test questions, and P qj represents the assessment score of the person to be assessed q in the assessment of the j-th skill type, which is rated by the assessor according to the assessment criteria, with a full score of 100, and α represents the weight coefficient, with a value range of 0 ≤ α ≤ 1; According to the calculated assessment completion degree of the person to be assessed with respect to the j-th skill type, calculate the assessment completion degree of the person to be assessed in this assessment. The calculation formula for the assessment completion degree in this assessment is defined as follows: Add up the assessment completion degrees corresponding to the J skill type assessments to obtain the assessment completion degree of the person to be assessed q in this assessment.
[0008] Determine the assessment completion degree threshold through historical data, judge the unqualified personnel in the assessment and the skill types they have not mastered, and record them in the personal file. Sort the unmastered skill types according to the number of unmastered people based on the file, calculate the skill familiarity threshold, and screen out the skill information with the number of unmastered people greater than the threshold according to the skill familiarity threshold, which is recorded as the first type of skill information. The specific steps include: Determine the threshold of assessment completion degree based on historical data, judge the personnel to be assessed who fail to meet the standard in this assessment and the types of skills not mastered by the personnel to be assessed who fail to meet the standard, and record the information of this assessment into the personal files of the personnel to be assessed; According to the personal file information of the personnel to be assessed, obtain the types of skills not mastered by the personnel to be assessed who fail to meet the standard, and sort the types of skills not mastered by the personnel to be assessed who fail to meet the standard according to the number of technicians who have not mastered them; Set the skill familiarity threshold, and the definition of the skill familiarity threshold is as follows: Divide the number of personnel to be assessed who fail the assessment by the number of personnel to be assessed and multiply by the number of personnel to be assessed who pass the assessment, round up the calculated result to obtain the skill familiarity threshold. If the calculated result itself is an integer, then this integer is the skill familiarity threshold; According to the skill familiarity threshold, screen the sorting result, and screen out the skill information whose number of technicians who have not mastered the types of skills not mastered by the personnel to be assessed who fail to meet the standard is greater than the skill familiarity threshold, and record it as the first type of skill information.
[0009] Screen out the personnel to be assessed whose assessment completion degree is lower than the set threshold, and arrange learning tasks for them. The specific steps include: Screen out the personnel to be assessed whose assessment completion degree is less than the set threshold. For the personnel to be assessed whose assessment completion degree is less than the set threshold, select the first type of skill information and the skill information not mastered by this personnel to be assessed during this assessment to arrange learning tasks.
[0010] An augmented reality-based skill assessment and training system, the system includes: a skill requirement determination module, an assessment and evaluation module, a data analysis module, and a learning arrangement module. The skill requirement determination module is used to obtain the types of skills that the personnel to be assessed need to master; the assessment and evaluation module is used to construct the personal files of the personnel to be assessed by obtaining assessment monitoring video materials, count the answering time and use the average answering duration as a reference, mark the familiarity of the exam questions in combination with the answering duration multiple range, and determine the assessment completion degree of the personnel to be assessed in this assessment; the data analysis module is used to determine the assessment completion degree threshold through historical data, judge the unqualified personnel and the types of skills they have not mastered in the assessment and record them in the personal files, sort the types of skills not mastered according to the number of people who have not mastered them based on the files, calculate the skill familiarity threshold, and screen out the skill information whose number of people who have not mastered is greater than the threshold according to the skill familiarity threshold, and record it as the first type of skill information; the learning arrangement module is used to screen out the personnel to be assessed whose assessment completion degree is lower than the set threshold, and arrange learning tasks for them.
[0011] The skill requirement determination module includes a data acquisition unit and a training planning unit. The data acquisition unit is used to acquire data related to skill assessment, including the types of skills mastered by the positions corresponding to the personnel to be assessed. The training planning unit is used to determine the training content per class hour of the personnel to be assessed according to the data related to skill assessment, in combination with the position skill requirements and training objectives. The output end of the data acquisition unit is connected to the input end of the training planning unit, and the output end of the training planning unit is connected to the input end of the assessment module.
[0012] The assessment module includes a file construction unit, a familiarity marking unit, a score acquisition unit, and an assessment completion degree calculation unit. The file construction unit is used to construct the personal file of the personnel to be assessed, collecting personal basic information and the answering time of each test question during the assessment period. The familiarity marking unit is used to construct the personal file of the personnel to be assessed by obtaining the assessment monitoring video data, statistically analyzing the answering time, and marking the familiarity of the test questions with reference to the average answering time and within the multiple range of the answering time. The score acquisition unit is used for the assessors to score the answering situation of the personnel to be assessed in the skill type assessment according to the assessment criteria to obtain the assessment score. The assessment completion degree calculation unit is used to judge the assessment completion degree of the personnel to be assessed for the skill type based on the familiarity marking values of each test question in the skill type assessment, the number of test questions included in the skill type assessment, and the assessment score of the personnel to be assessed in the skill type assessment.
[0013] The data analysis module includes a threshold determination unit, a non-compliance analysis unit, and an information screening unit. The threshold determination unit is used to determine the assessment completion degree threshold according to historical data. The non-compliance analysis unit is used to judge the personnel to be assessed who fail to meet the standards in this assessment and the types of skills they have not mastered, and record the assessment information in the personal file. The information screening unit is used to calculate and set the skill familiarity threshold according to the number of personnel to be assessed who fail the assessment, the total number of personnel to be assessed, and the number of personnel who pass the assessment. According to the skill familiarity threshold, the skill information with the number of technicians who have not mastered it greater than the threshold among the types of skills not mastered by the personnel to be assessed who fail the assessment is selected and recorded as the first type of skill information.
[0014] The learning arrangement module includes a personnel screening unit and a task arrangement unit. The personnel screening unit is used to screen out the personnel to be assessed whose assessment completion degree is lower than the set threshold. The task arrangement unit is used to arrange learning tasks for the personnel to be assessed whose assessment completion degree is less than the set threshold, selecting the first type of skill information and the skill information that the personnel to be assessed have not mastered during this assessment period.
[0015] Compared with the prior art, the beneficial effects of the present invention are: 1. By analyzing the skill data of the personnel to be evaluated, considering multiple dimensions such as job skill requirements, personal basic information, and assessment answering situations, and using a set calculation formula for assessment completion, the personnel's skill level is evaluated, which is different from the single-dimensional or simple assessment methods in the prior art; 2. The present invention introduces an intelligent learning task arrangement module. Combining the first type of skill information, the skills not mastered by the personnel, and the assessment completion situation, it dynamically plans learning tasks and adjusts according to the personnel's learning progress and feedback. Different from the fixed and lack-of-targeted training arrangements in the prior art, the present invention matches learning content and training methods based on the actual skill weaknesses and assessment results of the personnel. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Figure 1 It is a schematic flowchart of a skill assessment and training method based on augmented reality according to the present invention; Figure 2 It is a schematic structural diagram of a skill assessment and training system based on augmented reality according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0017] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.
[0018] In the embodiment: As Figure 1 - Figure 2 shown, the present invention provides a technical solution, a skill assessment and training method based on augmented reality, and the method includes the following steps: Obtain the types of skills that the personnel to be evaluated need to master; Construct a personal file of the personnel to be evaluated by obtaining assessment monitoring video materials, count the answering time, and with the average answering duration as a reference, mark the familiarity of the test questions in combination with the answering duration multiple range, and determine the assessment completion of the personnel to be evaluated in this assessment; Determine the assessment completion threshold through historical data, judge the personnel who fail to meet the standard in the assessment and the types of skills they have not mastered, record them in the personal file, sort the types of skills not mastered according to the number of people who have not mastered them, calculate the skill familiarity threshold, and screen out the skill information with the number of people who have not mastered greater than the threshold according to the skill familiarity threshold, and record it as the first type of skill information; Screen out the personnel to be evaluated whose assessment completion is lower than the set threshold and arrange learning tasks for them.
[0019] The steps for obtaining the types of skills that the personnel to be evaluated need to master specifically include: Obtain data related to skill assessment, including the types of skills mastered by the positions corresponding to the personnel to be assessed; Determine the training content per class hour for the personnel to be assessed based on the data related to skill assessment, in combination with the job skill requirements and training objectives.
[0020] Specifically, conduct skill assessment training for 100 newly recruited employees (Q = 100) in the mechanical maintenance position. This position involves the assessment of 3 (J = 3) types of skills, and each type of skill assessment contains 10 (m j = 10, j = 1, 2, 3) exam questions, with a total of 30 (I = 30) exam questions for assessment; By obtaining data related to skill assessment for the mechanical maintenance position within the enterprise, and combining the job skill requirements and training objectives, determine the training content per class hour for new employees.
[0021] Construct a personal file for the personnel to be assessed by obtaining assessment monitoring video materials, count the answering time, and use the average answering duration as a reference. Combine the answering duration multiple range to mark the familiarity of the exam questions, and determine the assessment completion degree of the personnel to be assessed in this assessment. The specific steps include: Obtain the monitoring video materials of the assessment; Construct a personal file for the personnel to be assessed, and collect personal basic information and the answering time of each exam question during the assessment period; Count the answering time of the personnel to be assessed for the i-th exam question. Divide the total answering duration of the i-th exam question by the total number of personnel to be assessed to obtain the average answering duration of the i-th exam question. Here, i is used to represent the identifier of the assessment question, i = 1, 2,..., I, and I represents the total number of assessment questions; Compare the answering duration of each personnel to be assessed for the i-th exam question with the average answering duration of the i-th exam question. When the answering duration of the personnel to be assessed for the i-th exam question is between e1 and e2 times the average answering duration of the i-th exam question, mark the familiarity of the i-th exam question for this personnel to be assessed as a, otherwise mark the familiarity of the i-th exam question for this personnel to be assessed as b. Here, a and b are marking values used to identify the familiarity degree of the personnel to be assessed with the i-th exam question, e1 < e2, and e1 and e2 are two parameters used to define the answering duration range. e1 represents the lower limit multiple of the answering duration range, and e2 represents the upper limit multiple of the answering duration range; Obtain the examination questions corresponding to the assessment of the j-th skill type, and calculate the familiarity degree of the person to be assessed q with respect to the j-th skill type. Among them, the calculation formula for the familiarity degree of the person to be assessed q with respect to the j-th skill type is as follows. Calculate the familiarity degree of the person to be assessed q with respect to the examination questions corresponding to the assessment of the j-th skill type, and add up the familiarity degrees of each examination question calculated. The obtained total is the familiarity degree of the person to be assessed q with respect to the assessment of the j-th skill type. q is used to represent the identifier of the person to be assessed, q = 1, 2,..., Q, where Q represents the total number of persons to be assessed, and j is used to distinguish the identifiers of different skill type assessments, j = 1, 2,..., J, where J represents the total number of skill type assessments; The assessor scores the answering situation of the person to be assessed in the assessment of the j-th skill type according to the assessment criteria, and obtains the assessment score P; Based on the familiarity degree marking values of each examination question of the person to be assessed in the assessment of the j-th skill type, the number of examination questions included in the assessment of the j-th skill type, and the assessment score of the person to be assessed q in the assessment of the j-th skill type, judge the assessment completion degree of the person to be assessed with respect to the j-th skill type: ; Among them, wq represents the examination completion degree of the person to be assessed q, k represents the k-th examination question in the assessment of the j-th skill type, k = 1, 2,..., m j , m j represents the number of examination questions included in the assessment of the j-th skill type, a qjk represents the familiarity degree of the person to be assessed q with respect to the k-th examination question in the assessment of the j-th skill type, a qjk is determined according to the above-defined method of the familiarity degree of the person to be assessed with respect to the examination questions, P qj represents the assessment score of the person to be assessed q in the assessment of the j-th skill type, which is rated by the assessor according to the assessment criteria, with a full score of 100, and α represents the weight coefficient, with a value range of 0 ≤ α ≤ 1; According to the calculated assessment completion degree of the person to be assessed with respect to the j-th skill type, calculate the assessment completion degree of the person to be assessed in this assessment. The calculation formula for the assessment completion degree in this assessment is defined as follows: Add up the assessment completion degrees corresponding to J skill type assessments to obtain the assessment completion degree of the person to be assessed q in this assessment.
[0022] Specifically, during the assessment process, obtain the assessment monitoring video materials, collect the personal basic information of 100 persons to be assessed (q = 1, 2,..., 100), such as age, education background, past work experience, etc., and at the same time record their answering time for each examination question during the assessment; Statistically record the answering time of the personnel to be evaluated for the \(i\)-th exam question (\(i = 1, 2,\cdots,30\)). The total answering time of 100 employees for the first exam question is 500 minutes, so the average answering time for the first exam question is 5 minutes. Set \(e1 = 0.8\) and \(e2 = 1.2\). Compare the answering time of each personnel to be evaluated for the \(i\)-th exam question with the average answering time. Employee A's answering time for the first exam question is 4 minutes (\(4\lt5\times0.8\)), then mark their familiarity with this exam question as \((a A11 =b)\); if the answering time for the second exam question is 9 minutes (\(5\times0.8\lt9\lt5\times1.2\)), then mark \((a A12 =a)\). Taking Employee A as an example, calculate their familiarity with the skill type \(j = 1\). Among the 10 exam questions of this skill type, \(a A11 =b\), \(a A12 =a\), \(a A13 =b\), \(\cdots\), \(a A110 =a\). Add up the familiarity of each exam question calculated (assuming \(a = 1\) and \(b = 0\)), then Employee A's familiarity with the skill type \(j = 1\) is \(1\times6 + 0\times4 = 6\). The evaluator scores the answering situation of each personnel to be evaluated in each skill type assessment according to the assessment criteria. Employee A gets 80 in the \(j = 1\) application assessment. Based on the above data, set the weight coefficient \(\alpha = 0.6\) and calculate that Employee A's assessment completion degree for the skill type \(j = 1\) is 0.68. Similarly, calculate the assessment completion degrees of the employees in other skill types, which are 0.7 and 0.6 respectively. Then Employee A's assessment completion degree in this assessment is 0.66.
[0023] Determine the assessment completion degree threshold through historical data, judge the personnel who fail to meet the standards in the assessment and the skill types they have not mastered, and record them in the personal file. Sort the skill types not mastered according to the number of personnel who have not mastered them, calculate the skill familiarity threshold, and screen out the skill information with the number of personnel who have not mastered it greater than the threshold according to the skill familiarity threshold, which is recorded as the first type of skill information. The specific steps are as follows: Determine the assessment completion degree threshold according to historical data, judge the personnel to be evaluated who fail to meet the standards in this assessment and the skill types that the personnel to be evaluated who fail to meet the standards have not mastered, and record the assessment information of this time into the personal file of the personnel to be evaluated. According to the personal file information of the personnel to be evaluated, obtain the skill types that the personnel to be evaluated who fail to meet the standards have not mastered, and sort the skill types that the personnel to be evaluated who fail to meet the standards have not mastered according to the number of technicians who have not mastered them. Set a skill proficiency threshold, and the definition of the skill proficiency threshold is as follows: Divide the number of personnel to be evaluated who failed the assessment by the number of personnel to be evaluated, multiply the result by the number of personnel to be evaluated who passed the assessment, round up the calculated result to obtain the skill proficiency threshold. If the calculated result is an integer itself, then this integer is the skill proficiency threshold; Filter the sorting results according to the skill proficiency threshold, and filter out the skill information for which the number of unmastered technicians corresponding to the types of skills not mastered by the personnel to be evaluated who did not meet the standard is greater than the skill proficiency threshold, and record it as the first type of skill information.
[0024] Specifically, by analyzing the past job assessment data of the enterprise, it is determined that the assessment completion threshold is 0.7, and then employee A fails the assessment; Judge the types of skills not mastered by employee A, and record the current assessment information in employee A's personal file. The number of people who failed the assessment in this assessment is 30, and the number of people who passed the assessment is 70. Then the skill proficiency threshold is 21. According to the personal file information of the employee, obtain the types of skills not mastered by the unqualified personnel, and sort these types of skills according to the number of unmastered technicians.
[0025] Filter out the personnel to be evaluated whose assessment completion degree is lower than the set threshold, and arrange learning tasks for them. The specific steps include: Filter out the personnel to be evaluated whose assessment completion degree is less than the set threshold. For the personnel to be evaluated whose assessment completion degree is less than the set threshold, select the first type of skill information and the skill information not mastered by this personnel to be evaluated during the current assessment period to arrange learning tasks.
[0026] An augmented reality-based skill assessment and training system, the system includes: a skill requirement determination module, an assessment and evaluation module, a data analysis module, and a learning arrangement module. The skill requirement determination module is used to obtain the types of skills that the personnel to be evaluated need to master; the assessment and evaluation module is used to construct the personal file of the personnel to be evaluated by obtaining the assessment monitoring video materials, count the answering time, take the average answering duration as a reference, and mark the familiarity of the exam questions in combination with the answering duration multiple range to determine the assessment completion degree of the personnel to be evaluated in the current assessment; the data analysis module is used to determine the assessment completion threshold through historical data, judge the unqualified personnel and the types of skills they do not master in the assessment and record them in the personal file, sort the types of skills not mastered according to the number of unmastered people based on the file, calculate the skill proficiency threshold, and filter out the skill information for which the number of unmastered people is greater than the threshold according to the skill proficiency threshold, and record it as the first type of skill information; the learning arrangement module is used to filter out the personnel to be evaluated whose assessment completion degree is lower than the set threshold and arrange learning tasks for them.
[0027] The skill requirement determination module includes a data acquisition unit and a training planning unit. The data acquisition unit is used to acquire data related to skill assessment, including the types of skills mastered by the positions corresponding to the personnel to be assessed. The training planning unit is used to determine the training content per class hour for the personnel to be assessed based on the data related to skill assessment, combined with the job skill requirements and training objectives. The output end of the data acquisition unit is connected to the input end of the training planning unit, and the output end of the training planning unit is connected to the input end of the assessment module.
[0028] The assessment module includes a file construction unit, a familiarity marking unit, a score acquisition unit, and an assessment completion degree calculation unit. The file construction unit is used to construct the personal file of the personnel to be assessed, collecting personal basic information and the answering time of each test question during the assessment period. The familiarity marking unit is used to construct the personal file of the personnel to be assessed by obtaining the assessment monitoring video data, statistically analyzing the answering time, and marking the familiarity of the test questions with reference to the average answering duration and in combination with the answering duration multiple range. The score acquisition unit is used for the assessors to score the answering situation of the personnel to be assessed in the skill type assessment according to the assessment criteria and obtain the assessment score. The assessment completion degree calculation unit is used to judge the assessment completion degree of the personnel to be assessed for the skill type based on the familiarity marking values of each test question in the skill type assessment, the number of test questions included in the skill type assessment, and the assessment score of the personnel to be assessed in the skill type assessment.
[0029] The data analysis module includes a threshold determination unit, a non-compliance analysis unit, and an information screening unit. The threshold determination unit is used to determine the assessment completion degree threshold according to historical data. The non-compliance analysis unit is used to judge the personnel to be assessed who fail to meet the standard in this assessment and the types of skills they do not master, and record the assessment information in the personal file. The information screening unit is used to calculate and set the skill familiarity threshold according to the number of personnel to be assessed who fail the assessment, the number of personnel to be assessed, and the number of personnel who pass the assessment. According to the skill familiarity threshold, the skill information in which the number of technicians who do not master is greater than the threshold among the types of skills not mastered by the personnel to be assessed who fail the assessment is selected and recorded as the first type of skill information.
[0030] The learning arrangement module includes a personnel screening unit and a task arrangement unit. The personnel screening unit is used to screen out the personnel to be assessed whose assessment completion degree is lower than the set threshold. The task arrangement unit is used to arrange learning tasks for the personnel to be assessed whose assessment completion degree is less than the set threshold by selecting the first type of skill information and the skill information that the personnel to be assessed did not master during this assessment period.
[0031] It is obvious to those skilled in the art that the present invention is not limited to the details of the above-described exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention. Therefore, in any regard, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Accordingly, all changes that fall within the meaning and scope of the equivalent elements of the claims are intended to be embraced within the present invention. Any reference signs in the claims should not be construed as limiting the claims involved.
Claims
1. An augmented reality-based skill assessment and training method, characterized in that: The method includes the following steps: Obtain the types of skills that the personnel to be assessed need to master; Construct a personal file of the personnel to be assessed by obtaining assessment monitoring video materials, count the answering time, take the average answering duration as a reference, mark the familiarity of the exam questions in combination with the multiple range of the answering duration, and determine the assessment completion degree of the personnel to be assessed in this assessment; Determine the assessment completion degree threshold through historical data, judge the personnel who fail to meet the standards in the assessment and the types of skills they do not master, record them in the personal file, sort the types of skills not mastered according to the number of people who do not master them, calculate the skill familiarity threshold, and screen out the skill information with the number of people who do not master it greater than the threshold according to the skill familiarity threshold, which is recorded as the first type of skill information; Screen out the personnel to be assessed whose assessment completion degree is lower than the set threshold and arrange learning tasks for them.
2. The method for skill assessment and training based on extended reality according to claim 1, characterized in that: Obtain the types of skills that the personnel to be assessed need to master. The specific steps include: Obtain the data related to skill assessment, including the types of skills mastered by the positions corresponding to the personnel to be assessed; According to the data related to skill assessment, determine the training content per class hour of the personnel to be assessed in combination with the position skill requirements and training objectives.
3. The skill assessment and training method based on extended reality according to claim 2, wherein: Construct a personal file of the personnel to be assessed by obtaining assessment monitoring video materials, count the answering time, take the average answering duration as a reference, mark the familiarity of the exam questions in combination with the multiple range of the answering duration, and determine the assessment completion degree of the personnel to be assessed in this assessment. The specific steps include: Obtain the monitoring video materials of the assessment; Construct a personal file of the personnel to be assessed, collect personal basic information and the answering time of each exam question during the assessment period; Statistically record the answering time of the personnel to be assessed for the i-th exam question. Divide the total answering duration of the i-th exam question by the total number of the personnel to be assessed to obtain the average answering duration of the i-th exam question, where i is used to represent the identifier of the exam question, i = 1, 2,..., I, and I represents the total number of exam questions; Compare the answering duration of each personnel to be assessed for the i-th exam question with the average answering duration of the i-th exam question. When the answering duration of the personnel to be assessed for the i-th exam question is between e1 and e2 times the average answering duration of the i-th exam question, mark the familiarity of the i-th exam question for this personnel to be assessed as a, otherwise mark the familiarity of the i-th exam question for this personnel to be assessed as b, where a and b are the marking values used to identify the familiarity degree of the personnel to be assessed with the i-th exam question, e1 < e2, and e1 and e2 are the two parameters used to define the answering duration range. e1 represents the lower limit multiple of the answering duration range, and e2 represents the upper limit multiple of the answering duration range; Obtain the test questions corresponding to the assessment of the j-th skill type, and calculate the familiarity of the person to be assessed q with respect to the j-th skill type. The formula for calculating the familiarity of the person to be assessed q with respect to the j-th skill type is as follows. Calculate the familiarity of the person to be assessed q with respect to the test questions corresponding to the assessment of the j-th skill type, and add up the familiarity of each test question calculated. The sum obtained is the familiarity of the person to be assessed q with respect to the assessment of the j-th skill type. q is used to represent the identifier of the person to be assessed, q = 1, 2,..., Q, where Q represents the total number of persons to be assessed. j is used to distinguish the identifiers of different skill type assessments, j = 1, 2,..., J, and J represents the total number of skill type assessments; The assessor scores the answering situation of the person to be assessed in the assessment of the j-th skill type according to the assessment criteria, and obtains the assessment score P; Based on the familiarity marking values of the person to be assessed with respect to each test question in the assessment of the j-th skill type, the number of test questions included in the assessment of the j-th skill type, and the assessment score of the person to be assessed q in the assessment of the j-th skill type, judge the assessment completion degree of the person to be assessed with respect to the j-th skill type: ； Among them, wq represents the examination completion degree of the person to be examined q, k represents the k-th examination question in the j-th skill type assessment, where k = 1, 2,..., m j , m j represents the number of examination questions included in the j-th skill type assessment, a qjk represents the familiarity degree of the person to be examined q with the k-th examination question in the j-th skill type assessment, P qj represents the assessment score of the person to be examined q in the j-th skill type assessment, which is determined by the assessor according to the assessment criteria, with a full score of 100, and α represents the weight coefficient, and the value range is 0 ≤ α ≤ 1; According to the calculated assessment completion degree of the person to be assessed with respect to the j-th skill type, calculate the assessment completion degree of the person to be assessed in this assessment. The formula for the assessment completion degree in this assessment is defined as follows: Add up the assessment completion degrees corresponding to the J skill type assessments to obtain the assessment completion degree of the person to be assessed q in this assessment.
4. The skill assessment and training method based on extended reality according to claim 3, characterized in that: Determine the assessment completion degree threshold through historical data, judge the persons who do not meet the standards in the assessment and the skill types they have not mastered, and record them in the personal file. Sort the skill types not mastered according to the number of persons who have not mastered them, calculate the skill familiarity threshold, and screen out the skill information for which the number of persons who have not mastered it is greater than the threshold according to the skill familiarity threshold, and record it as the first type of skill information. The specific steps include: Determine the threshold of the assessment completion degree according to historical data, judge the persons to be assessed who do not meet the standards in this assessment and the skill types that the persons to be assessed who do not meet the standards have not mastered, and record this assessment information in the personal file of the persons to be assessed; According to the personal file information of the persons to be assessed, obtain the skill types that the persons to be assessed who do not meet the standards have not mastered, and sort the skill types that the persons to be assessed who do not meet the standards have not mastered according to the number of technicians who have not mastered them; Set the skill familiarity threshold, and the definition of the skill familiarity threshold is as follows: Divide the number of persons to be assessed who do not pass the assessment by the number of persons to be assessed and multiply by the number of persons to be assessed who pass the assessment, and round up the calculated result to obtain the skill familiarity threshold. If the calculated result itself is an integer, then this integer is the skill familiarity threshold; According to the skill familiarity threshold, screen the sorting result, and screen out the skill information for which the number of technicians who have not mastered the skill types that the persons to be assessed who do not meet the standards have not mastered is greater than the skill familiarity threshold, and record it as the first type of skill information.
5. A skill assessment and training method based on extended reality according to claim 4, characterized in that: Screen out the persons to be assessed whose assessment completion degree is lower than the set threshold, and arrange learning tasks for them. The specific steps include: Select the personnel to be evaluated whose evaluation completion degree is less than the set threshold. For the personnel to be evaluated whose evaluation completion degree is less than the set threshold, select the first type of skill information and the skill information not mastered by the personnel to be evaluated during this evaluation period to arrange learning tasks.
6. An augmented reality-based skill assessment and training system, characterized in that: The system includes: a skill requirement determination module, an assessment and evaluation module, a data analysis module, and a learning arrangement module. The skill requirement determination module is used to obtain the types of skills that the personnel to be evaluated need to master; the assessment and evaluation module is used to construct a personal file of the personnel to be evaluated by obtaining assessment monitoring video materials, count the answering time, use the average answering duration as a reference, and mark the familiarity of the test questions in combination with the answering duration multiple range to determine the evaluation completion degree of the personnel to be evaluated in this evaluation; the data analysis module is used to determine the evaluation completion degree threshold through historical data, judge the personnel who fail to meet the standard in the evaluation and the types of skills they have not mastered, record them in the personal file, sort the types of skills not mastered according to the number of people who have not mastered them based on the file, calculate the skill familiarity threshold, and screen out the skill information with the number of people who have not mastered it greater than the threshold, which is recorded as the first type of skill information; the learning arrangement module is used to screen out the personnel to be evaluated whose evaluation completion degree is lower than the set threshold and arrange learning tasks for them.
7. The skill assessment and training system based on extended reality according to claim 6, characterized in that: The skill requirement determination module includes a data acquisition unit and a training planning unit. The data acquisition unit is used to obtain data related to skill assessment, including the types of skills mastered by the positions corresponding to the personnel to be evaluated; the training planning unit is used to determine the training content per class hour of the personnel to be evaluated according to the data related to skill assessment, in combination with the position skill requirements and training objectives. The output end of the data acquisition unit is connected to the input end of the training planning unit, and the output end of the training planning unit is connected to the input end of the assessment and evaluation module.
8. The skill assessment and training system based on extended reality according to claim 7, wherein: The assessment and evaluation module includes a file construction unit, a familiarity marking unit, a score acquisition unit, and an evaluation completion degree calculation unit. The file construction unit is used to construct a personal file of the personnel to be evaluated and collect personal basic information and the answering time of each test question during the assessment period; the familiarity marking unit is used to construct a personal file of the personnel to be evaluated by obtaining assessment monitoring video materials, count the answering time, use the average answering duration as a reference, and mark the familiarity of the test questions in combination with the answering duration multiple range; the score acquisition unit is used for the assessors to score the answering situation of the personnel to be evaluated in the skill type assessment according to the assessment criteria to obtain the assessment score; the evaluation completion degree calculation unit is used to judge the evaluation completion degree of the personnel to be evaluated for the skill type based on the familiarity marking value of each test question in the skill type assessment, the number of test questions included in the skill type assessment, and the assessment score of the personnel to be evaluated in the skill type assessment.
9. The skill assessment and training system based on extended reality according to claim 8, characterized in that: The data analysis module includes a threshold determination unit, a non-compliance analysis unit, and an information screening unit. The threshold determination unit is used to determine the evaluation completion degree threshold according to historical data; the non-compliance analysis unit is used to judge the personnel to be evaluated who fail to meet the standard in this evaluation and the types of skills they have not mastered, and record the assessment information in the personal file. The information screening unit is used to calculate and set a skill familiarity threshold according to the number of candidates who fail the assessment, the number of candidates to be assessed, and the number of candidates who pass the assessment. According to the skill familiarity threshold, among the skill types not mastered by the candidates who do not meet the standard, the skill information with the number of technicians who have not mastered it greater than the threshold is selected and recorded as the first type of skill information.
10. The skill assessment and training system based on extended reality according to claim 9, wherein: The learning arrangement module includes a personnel screening unit and a task arrangement unit. The personnel screening unit is used to screen out the candidates whose assessment completion degree is lower than the set threshold; the task arrangement unit is used to arrange learning tasks for the candidates whose assessment completion degree is less than the set threshold by selecting the first type of skill information and the skill information not mastered by the candidate during this assessment period.