Vocational education teaching practical training operation management system and vocational education teaching practical training operation management method

Abstract

The invention provides a vocational education teaching practical training operation management system and method, and the system comprises a first obtaining subsystem which is used for obtaining the target student information of a target student who carries out vocational education teaching practical training; the second acquisition subsystem is used for acquiring practical training courses issued by educational administration personnel; the intelligent course arrangement subsystem is used for intelligently matching the target student information with the training course information, determining a matched course of the target student and performing intelligent course arrangement; and the management subsystem is used for performing corresponding management on the target students according to the intelligent course arrangement result. According to the vocational education teaching practical training operation management system and method, the target student information and the practical training course information of the practical training courses published by the educational administration personnel are intelligently matched, the matched courses suitable for the target students to learn are determined, intelligent course arrangement is carried out, the target students are correspondingly managed according to the intelligent course arrangement result, and the teaching efficiency is improved. And the vocational education teaching practical training operation management efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of Internet service technology, and in particular to a vocational education teaching and training operation management system and method. Background Art

[0002] The operation and management of vocational education teaching and training refers to the process of comprehensive planning, organization, training and evaluation of teaching and training activities in vocational education institutions, including: teaching plan formulation, resource allocation, curriculum implementation and student management. Through these operation and management activities, vocational education institutions can provide high-quality practical training education, meet the career development needs of students, and cultivate qualified technical and skilled talents for society.

[0003] Although the existing vocational education and teaching practice operation management platform has realized online management, it still requires platform users to actively operate (for example, students need to actively view course-related information before selecting courses). The process is relatively cumbersome and not intelligent enough, resulting in low efficiency in education and teaching practice operation management.

[0004] In view of this, there is an urgent need for a vocational education teaching and training operation management system and method to at least solve the above-mentioned deficiencies. Summary of the invention

[0005] One of the purposes of the present invention is to provide a vocational education and teaching practice operation and management system, which intelligently matches the target student information of the target students undergoing vocational education and teaching practice with the practice course information of the practice courses released by the teaching staff, determines the matching courses suitable for the target students to learn and performs intelligent class scheduling, and manages the target students accordingly based on the intelligent class scheduling results, thereby improving the efficiency of vocational education and teaching practice operation and management.

[0006] An embodiment of the present invention provides a vocational education teaching training operation management system, including:

[0007] The first acquisition subsystem is used to acquire target student information of target students who are undergoing vocational education and teaching practice;

[0008] The second acquisition subsystem is used to acquire practical training courses published by the teaching staff;

[0009] Intelligent course scheduling subsystem, used to intelligently match target student information with practical training course information, determine matching courses for target students and perform intelligent course scheduling;

[0010] The management subsystem is used to manage target students accordingly based on the results of intelligent scheduling.

[0011] Preferably, the first acquisition subsystem includes:

[0012] A registration data acquisition module is used to acquire the registration data of target students who log in to the vocational education teaching and training operation management platform;

[0013] A collection data acquisition module is used to obtain the collection data of target students;

[0014] The target student information determination module is used to determine the target student information based on the registration data and the collected data.

[0015] Preferably, the second acquisition subsystem includes:

[0016] A module for obtaining information on the basis of practical training courses, used to obtain information on the basis of practical training courses;

[0017] The recommended practical training course acquisition module is used to obtain recommended practical training courses through big data based on the practical training course basis information;

[0018] The practical training course publishing module is used to guide the teaching staff to select and publish practical training courses from the recommended practical training courses.

[0019] Preferably, it is recommended to obtain modules for practical training courses, including:

[0020] The submodule for obtaining basis item sets is used to parse the basis information of practical training courses and obtain basis item sets corresponding to multiple basis types;

[0021] A node information item set acquisition submodule is used to traverse each big data provider node in turn, split the big data provider node information of the big data provider node being traversed based on the basis type, and obtain the node information item set corresponding to the basis type;

[0022] The content matching value calculation submodule is used to perform content matching on the basis item set and the node information item set corresponding to the same basis type to obtain the content matching value;

[0023] The target node determination submodule is used to determine the content matching degree according to the preset weight of the type and the content matching value, and select the big data providing nodes whose content matching degree is greater than or equal to the preset content matching degree threshold and use them as the target nodes;

[0024] The recommended practical training course acquisition submodule is used to obtain recommended practical training courses from the target node.

[0025] Preferably, the intelligent class scheduling subsystem includes:

[0026] A class scheduling feature extraction template acquisition module is used to obtain a class scheduling feature extraction template;

[0027] The course scheduling feature extraction module is used to extract course scheduling features based on the course scheduling feature extraction template, target student information and practical training course information; the course scheduling features include: the theoretical course learning progress of the target students and the theoretical course progress corresponding to the practical training course;

[0028] The intelligent course scheduling module is used to determine the matching courses for target students and perform intelligent course scheduling based on preset course scheduling rules and characteristics.

[0029] Preferably, the intelligent class scheduling module includes:

[0030] A matching course determination time determination submodule is used to determine the matching course determination time of the matching course of the target student;

[0031] The time schedule acquisition submodule is used to obtain the time schedule of the practical training course;

[0032] The course schedule determination submodule is used to determine the course schedule of the practical training course corresponding to the matching course that is closest to the matching course determination time after the matching course determination time according to the matching course determination time and the time schedule, wherein the number of vacant seats for the scheduled courses in the course schedule is greater than 0;

[0033] The course scheduling submodule is used to schedule courses for corresponding target students according to the course schedule. After the course scheduling is completed, the number of vacant seats in the scheduled courses is subtracted from the number of students to be scheduled.

[0034] Preferably, the time schedule acquisition submodule includes:

[0035] A target practical training course determination unit is used to traverse each practical training course in turn and take the practical training course being traversed as the target practical training course;

[0036] A historical average learning time acquisition unit is used to acquire the historical average learning time of the theoretical course progress corresponding to the target practical training course;

[0037] A start time acquisition unit is used to determine the target theory course corresponding to the target practical training course and to acquire the start time of the target theory course for the target student;

[0038] A scheduling time determination unit is used to determine the scheduling time of the target practical training course based on the start time and the historical average learning time;

[0039] A storage unit, used to store the target training courses and the corresponding scheduled times into a preset empty list;

[0040] The time schedule construction unit is used to complete the construction of the time schedule after all practical training courses have been traversed.

[0041] Preferably, the starting time acquisition unit includes:

[0042] A pre-collection time acquisition subunit is used to acquire the pre-collection time of the target theoretical course of the target student and mark the pre-collection time on a preset time axis;

[0043] The time unit determination subunit is used to determine the time unit marked on the time axis and obtain the number of pre-collection time mark points in the time unit;

[0044] The capacity determination subunit is used to determine the future time according to the first target time unit and the average learning time, if the number of marking points at the pre-collection time is greater than or equal to a preset marking point number threshold, using the corresponding time unit as the first target time unit;

[0045] A capacity acquisition subunit is used to acquire the capacity of the training room corresponding to the target training course at a future moment;

[0046] The first start time determination subunit is used to use the representation time of the corresponding first target time unit as the start time if the number of the collection time mark points of the first target time unit is less than or equal to the capacity;

[0047] The subunit for determining the capacity to be allocated is used to sequentially traverse the time units after the future time if the number of the collected time mark points of the first target time unit is greater than the capacity, and obtain the capacity to be allocated of the training room of the target training course at the time corresponding to the traversed time unit;

[0048] The second determination subunit of the start time is used to stop traversal if the first N determined capacities to be allocated are greater than or equal to the threshold of the number of marking points, and the N+1th determined capacity to be allocated is less than the threshold of the number of marking points, and the time unit corresponding to the traversal of the first N determined capacities to be allocated is used as the second target time unit, and the representation time of the first target time unit and the second target time unit is used as the start time, where N is an integer greater than or equal to 1.

[0049] An embodiment of the present invention provides a vocational education teaching training operation management system, which also includes:

[0050] The training process review subsystem is used to connect to the training monitoring device at the training site and review the training process based on the monitoring data of the training monitoring device;

[0051] Among them, the practical training process review sub-system includes:

[0052] The site punch-in information acquisition module is used to obtain the site punch-in information of the training site; the site punch-in information includes: site punch-in face ID and punch-in time;

[0053] The electronic signature automatic update module is used to obtain the electronic signature library according to the clock-in time, and automatically update the electronic signature library according to the face ID of the venue clock-in;

[0054] The training process record data acquisition module is used to try to obtain the automatic update result. If the automatic update result is successful, the training process record is started based on the face ID of the venue clock-in, and the training process record data is obtained;

[0055] A standard training process data acquisition module is used to acquire standard training process data;

[0056] An initial data difference value determination module is used to compare the standard training process data with the training process record data to obtain the initial data difference value;

[0057] The communication behavior feature extraction module is used to obtain the communication behavior during the training process and extract the communication behavior features. The communication behavior features include: communication method, communication duration, and identity of the communication party;

[0058] An actual data difference value determination module is used to adjust the initial data difference value according to a preset initial data difference value adjustment strategy corresponding to the communication behavior characteristics to obtain an actual data difference value;

[0059] A capture degree determination module is used to determine the capture degree of the training sub-process according to the actual data difference value and the preset difference value-capture degree determination library;

[0060] The training electronic report generation module is used to dispatch the camera associated with the site location to capture the scene if the capture degree is greater than or equal to the preset capture degree threshold according to the site location of the training sub-process, and generate a training electronic report based on the capture result.

[0061] An embodiment of the present invention provides a vocational education teaching training operation management method, including:

[0062] Step 1: Obtain target student information of target students who are to undergo vocational education and teaching training;

[0063] Step 2: Obtain practical training courses published by the teaching staff;

[0064] Step 3: Intelligently match the target student information and the practical training course information, determine the matching courses for the target students and perform intelligent class scheduling;

[0065] Step 4: Manage the target students accordingly based on the results of intelligent scheduling.

[0066] The beneficial effects of the present invention are:

[0067] The present invention intelligently matches the target student information of the target students who are undergoing vocational education and teaching training with the practical training course information of the practical training courses released by the teaching staff, determines the matching courses suitable for the target students to learn and performs intelligent class scheduling, and manages the target students accordingly based on the intelligent class scheduling results, thereby improving the operational management efficiency of vocational education and teaching training.

[0068] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in the present application documents.

[0069] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0071] Figure 1 A schematic diagram of a vocational education teaching training operation management system in an embodiment of the present invention;

[0072] Figure 2 It is a schematic diagram of a vocational education teaching training operation management method in an embodiment of the present invention. DETAILED DESCRIPTION

[0073] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0074] The embodiment of the present invention provides a vocational education teaching training operation management system, such as Figure 1 As shown, including:

[0075] The first acquisition subsystem 1 is used to acquire target student information of target students who are undergoing vocational education and teaching practice; wherein vocational education and teaching practice refers to practical teaching activities carried out in a simulated or actual working environment during vocational education; target students refer to students who need to undergo vocational education and teaching practice; target student information refers to registration information when target students choose to undergo vocational education, such as the major selected by the target students, the theoretical courses studied, the length of schooling, and the year of admission, etc.;

[0076] The second acquisition subsystem 2 is used to acquire the practical training courses published by the teaching staff; the teaching staff refers to the teaching management personnel who conduct vocational education and teaching; the practical training courses refer to the subjects of practical training teaching, such as welding circuit training, metalworking training, etc.;

[0077] The intelligent course scheduling subsystem 3 is used to intelligently match the target student information with the practical training course information, determine the matching courses for the target students and perform intelligent course scheduling; wherein, intelligently matching the target student information with the practical training course information means judging whether the practical training course corresponding to the practical training course information is suitable for the target students to learn based on the target student information and the practical training course information, and determining the matching courses suitable for the target students to learn. The practical training course information is jointly released by the teaching staff when releasing the practical training courses, including: the practical training courses corresponding to the theoretical courses and the applicable student portraits of the practical training courses;

[0078] The management subsystem 4 is used to manage the target students according to the intelligent class scheduling results. The management subsystem 4 is used to manage the target students according to the intelligent class scheduling results, which means adding the matching courses of the target students to the target students' class schedules.

[0079] The working principle and beneficial effects of the above technical solution are:

[0080] The present invention intelligently matches the target student information of the target students who are undergoing vocational education and teaching training with the practical training course information of the practical training courses released by the teaching staff, determines the matching courses suitable for the target students to learn and performs intelligent class scheduling, and manages the target students accordingly based on the intelligent class scheduling results, thereby improving the operational management efficiency of vocational education and teaching training.

[0081] In one embodiment, the first acquisition subsystem includes:

[0082] The registration data acquisition module is used to obtain the registration data of the target students who log in to the vocational education teaching and training operation management platform; wherein the registration data is: the information record filled in by the target students on the platform;

[0083] The data acquisition module is used to acquire the target students’ data; the data acquired is: the target students’ relevant data passively acquired and recorded on the vocational education teaching and training operation and management platform, such as: the target students’ information acquired by the teaching staff, and the target students’ course attendance information acquired by the platform connecting to the course attendance system;

[0084] The target student information determination module is used to determine the target student information based on the registration data and the collected data.

[0085] The working principle and beneficial effects of the above technical solution are:

[0086] The present invention introduces actively recorded registration data and passively recorded collection data as target student information, which is more comprehensive.

[0087] In one embodiment, the second acquisition subsystem includes:

[0088] The training course basis information acquisition module is used to obtain the training course basis information; wherein the training course basis information includes: the source information of the target school, the teaching content of the target school and the training education resource information of the target school; the target school is: a school that conducts vocational education and teaching training;

[0089] The recommended practical training course acquisition module is used to obtain recommended practical training courses through big data based on the practical training course basis information; the recommended practical training courses are: practical training courses that can be taught determined from big data based on the actual situation of the target school (such as theoretical teaching content and resource allocation of practical training teaching);

[0090] The training course publishing module is used to guide the teaching staff to select the training courses to be published from the recommended training courses. The teaching staff selects the training courses from the recommended training courses and conducts manual secondary screening.

[0091] The working principle and beneficial effects of the above technical solution are:

[0092] When setting up practical training courses, the teaching management personnel of the school set them up by themselves, which depends on their past teaching experience and is not comprehensive enough. Therefore, the present invention introduces practical training course basis information, determines the recommended practical training courses that can be taught from big data based on the actual situation of the target school, and the teaching staff then selects practical training courses from the recommended practical training courses and conducts manual secondary screening, thereby improving the comprehensiveness and suitability of the practical training courses.

[0093] In one embodiment, the recommended training course acquisition module includes:

[0094] The submodule for obtaining the basis item set is used to parse the basis information of the practical training course and obtain the basis item sets corresponding to multiple basis types; wherein the basis type is: the information type of the basis information of the practical training course, such as: the source of students of the target school, the teaching content of the target school and the practical training education resources of the target school; the basis item set is: the set composed of the information characteristic values ​​of the basis information of the practical training course corresponding to the basis type, such as: the basis item set of the teaching content of the target school according to the type is: {theoretical course A, theoretical course B...theoretical course M};

[0095] The node information item set acquisition submodule is used to traverse each big data providing node in turn, split the big data providing node information of the big data providing node being traversed based on the basis type, and obtain the node information item set corresponding to the basis type; wherein the big data providing node is: the communication docking node of the vocational education school; the big data providing node information is: the source of students, teaching content and practical training education resources of the vocational education school corresponding to the big data providing node; the node information item set is: the set of information feature values ​​of the big data providing node information corresponding to the basis type;

[0096] The content matching value calculation submodule is used to perform content matching on the basis item set and the node information item set corresponding to the same basis type to obtain a content matching value; wherein the content matching is: performing vector matching on the first information feature vector constructed based on the basis item set and the second information feature vector constructed based on the node information item set; the content matching value is: the vector cosine similarity of the matching vectors;

[0097] The target node determination submodule is used to determine the content matching degree according to the preset weight and content matching value of the type, and select the big data providing nodes whose content matching degree is greater than or equal to the preset content matching degree threshold, and use them as the target nodes; wherein the preset weight is preset manually, and the content matching degree is: the result obtained by multiplying the preset weight and the content matching value respectively and then summing them; the preset content matching degree threshold is preset manually;

[0098] The recommended practical training course acquisition submodule is used to obtain recommended practical training courses from the target node.

[0099] The working principle and beneficial effects of the above technical solution are:

[0100] The present invention splits the practical training course basis information to obtain a plurality of basis item sets of basis types, wherein the basis item sets include information feature values ​​of the practical training course basis information corresponding to the plurality of basis types, and the information feature values ​​represent the information content; each big data providing node is traversed in turn, and the big data providing node information of the big data providing node being traversed is split based on the basis type to obtain the node information item set; a first information feature vector constructed based on the basis item set and a second information feature vector constructed based on the node information item set are vector matched to obtain a content matching value (vector cosine similarity); a preset weight of the basis type is introduced, the preset weight and the content matching value are correspondingly multiplied and then summed to obtain the content matching degree, the big data providing node whose content matching degree is greater than or equal to the preset content matching degree threshold is screened as the target node, the target node is connected to obtain the practical training courses of the corresponding vocational education school, and the recommended practical training courses are obtained, the acquisition process of the recommended practical training courses is refined, and the suitability of the recommended practical training courses is further improved.

[0101] In one embodiment, the intelligent class scheduling subsystem includes:

[0102] The class scheduling feature extraction template acquisition module is used to obtain the class scheduling feature extraction template; wherein the class scheduling feature extraction template is: a template for extracting class scheduling features by comparing target student information and practical training course information;

[0103] The course scheduling feature extraction module is used to extract course scheduling features based on the course scheduling feature extraction template, target student information and practical training course information; the course scheduling features include: the target student's theoretical course learning progress and the theoretical course progress corresponding to the practical training course; the target student's theoretical course learning progress is: the target student's theoretical course (for example: high-frequency circuit) and the learning progress of each theoretical course (for example: learning the high-frequency resonant amplifier chapter); the theoretical course progress corresponding to the practical training course is: the progress that the theoretical course should be learned when conducting the practical training course;

[0104] The intelligent course scheduling module is used to determine the matching courses for the target students and perform intelligent course scheduling based on the preset course scheduling rules and course scheduling features. The preset course scheduling rules are manually set in advance. For example, when the target student's theoretical course learning progress exceeds the theoretical course progress corresponding to the practical training course, the corresponding practical training course will be used as a matching course for subsequent intelligent course scheduling.

[0105] The working principle and beneficial effects of the above technical solution are:

[0106] Practical training courses change as teaching progresses. Generally, teaching management personnel will manually arrange practical training courses according to students' learning progress, which has low management efficiency. Therefore, the present invention introduces a scheduling feature extraction template to extract the scheduling features in the target student information and practical training course information; according to the scheduling rules and scheduling features, the matching courses of the target students are determined and intelligent scheduling is performed, thereby improving the standardization of the scheduling process.

[0107] In one embodiment, the intelligent class scheduling module includes:

[0108] The matching course determination time determination submodule is used to determine the matching course determination time of the matching course of the target student; wherein the matching course determination time is the time when the matching course is matched with the target student;

[0109] The time schedule acquisition submodule is used to obtain the time schedule of the practical training course; the time schedule includes the class time of the practical training course. Considering the limitation of practical training configuration resources (for example, insufficient classroom seats, uncoordinated teacher time), the same practical training course can have multiple class times;

[0110] The course schedule determination submodule is used to determine the course schedule of the practical training course corresponding to the matching course that is closest to the matching course determination time after the matching course determination time according to the matching course determination time and the time schedule, wherein the number of vacant seats of the scheduled course in the course schedule is greater than 0; the course schedule is: the scheduled practical training course (scheduled course) and the corresponding class time;

[0111] The course scheduling submodule is used to schedule courses for corresponding target students according to the course schedule. After the course scheduling is completed, the number of vacant seats in the scheduled courses is subtracted from the number of students to be scheduled.

[0112] The working principle and beneficial effects of the above technical solution are:

[0113] The present invention introduces a matching course determination time for a target student's matching course and a time schedule for a practical training course. Taking into account that each target student has a different speed of absorbing theoretical knowledge, a time schedule for a practical training course is introduced. The time is adaptively determined according to the matching course determination time to determine the target student's course schedule. When a special situation occurs to the target student (for example, the target student takes leave and delays the learning progress of the theoretical course and subsequently makes up for it with other classes), the class time of the practical training course can also be adjusted, thereby realizing adaptive scheduling of classes, which is more intelligent.

[0114] In one embodiment, the time schedule acquisition submodule includes:

[0115] A target practical training course determination unit is used to traverse each practical training course in turn and take the practical training course being traversed as the target practical training course;

[0116] The historical average learning time acquisition unit is used to obtain the historical average learning time of the target practical training course corresponding to the theoretical course progress; wherein, the target practical training course corresponding to the theoretical course progress is: the theoretical course progress that needs to be learned when conducting the practical training of the target practical training course, for example: the target practical training course is: "Web front-end development training", then the corresponding theoretical course progress is: completing the study of the "CSS3 design" course; the historical average learning time is: the average time spent on learning the theoretical course corresponding to the target practical training course to the theoretical course progress corresponding to the target practical training course in history, for example: 2 months;

[0117] The starting time acquisition unit is used to determine the target theoretical course corresponding to the target practical training course and acquire the starting time of the target theoretical course of the target student; wherein the starting time is: the date when the target student starts to study the theoretical course corresponding to the target practical training course;

[0118] The scheduling time determination unit is used to determine the scheduling time of the target training course according to the starting time and the historical average learning time; wherein the scheduling time is: the time obtained by extending the average learning time after the starting time;

[0119] The storage unit is used to store the target training courses and the corresponding arrangement time into a preset empty list; wherein the preset empty list is: a blank data table;

[0120] The time schedule construction unit is used to complete the construction of the time schedule after all practical training courses have been traversed.

[0121] The working principle and beneficial effects of the above technical solution are:

[0122] When constructing the time schedule, the present invention obtains the historical average learning time of the theoretical course progress corresponding to the target practical training course, and at the same time, determines the target theoretical course corresponding to the target practical training course, obtains the start time of the target theoretical course of the target student, extends the historical average learning time based on the start time, obtains the scheduled time of the target practical training course, associates the target practical training course with the corresponding scheduled time and stores it in an empty list. When all practical training courses are traversed, the construction of the time schedule is completed, and the scheduled time of the target practical training course is adaptively determined according to the start time, which is more appropriate.

[0123] In one embodiment, the start time acquisition unit includes:

[0124] The pre-collection time acquisition subunit is used to obtain the pre-collection time of the target theoretical course of the target student and mark the pre-collection time on the preset time axis; wherein the pre-collection time is: the course check-in time of the theoretical course of the target student; each axis point on the preset time axis corresponds to a historical moment one by one;

[0125] The time unit determination subunit is used to determine the time unit marked on the time axis and obtain the number of pre-collected time mark points in the time unit; wherein the time unit is: the axis range corresponding to 24 hours on the time axis, for example: 0:00-24:00 on a certain day of a certain month of a certain year;

[0126] The capacity determination subunit is used to determine the future time according to the first target time unit and the average learning time if the number of marking points at the pre-collection time is greater than or equal to a preset marking point number threshold, wherein the preset marking point number threshold is manually preset, for example: 20;

[0127] The capacity acquisition subunit is used to acquire the capacity of the training room corresponding to the target training course at a future time; when acquiring the capacity, the reservation status of the target training course is queried according to the future time, and the capacity of the training room is determined according to the reservation status;

[0128] The first start time determination subunit is used to use the representation time of the corresponding first target time unit as the start time if the number of the collection time mark points of the first target time unit is less than or equal to the capacity;

[0129] The subunit for determining the capacity to be allocated is used to, if the number of collected time mark points of the first target time unit is greater than the capacity, sequentially traverse the time units after the future time, and obtain the capacity to be allocated of the training room of the target training course at the time corresponding to the traversed time unit; wherein, when obtaining the capacity to be allocated of the training room of the target training course at the time corresponding to the traversed time unit, the capacity of the training room of the target training course at the time corresponding to the traversed time unit is used as the target capacity. When the number of students to be scheduled for the target training course is greater than the target capacity and the target capacity is greater than or equal to the threshold of the number of mark points, the target capacity is used as the capacity to be allocated; when the number of students to be scheduled for the target training course is greater than the target capacity and the target capacity is less than the threshold of the number of mark points, there is no capacity to be allocated in the training room of the target training course at the time corresponding to the traversed time unit, and the next time unit is continued to be traversed; when the number of students to be scheduled for the target training course is less than the target capacity, the number of students to be scheduled is used as the capacity to be allocated;

[0130] The second determination subunit of the start time is used to stop traversal if the first N determined capacities to be allocated are greater than or equal to the threshold of the number of marking points, and the N+1th determined capacity to be allocated is less than the threshold of the number of marking points, and the time unit corresponding to the traversal of the first N determined capacities to be allocated is used as the second target time unit, and the representation time of the first target time unit and the second target time unit is used as the start time, where N is an integer greater than or equal to 1.

[0131] The working principle and beneficial effects of the above technical solution are:

[0132] Generally, target students are managed by class, so the start time of the target students' theoretical courses may be different. In addition, some target students are self-taught, and it is unreasonable to set up separate practical training courses for them. Therefore, the present invention marks the pre-collection time of the target students' theoretical courses on the time axis, and counts the number of pre-collection time marking points in the time unit, the number of pre-collection time marking points represents the number of people who start learning within the corresponding time of the statistical time unit; introduces a marking point number threshold, when the pre-collection time marking point number threshold is less than the preset marking point number threshold, it represents that the number of people who start learning within the corresponding time of the time unit does not reach the number of people who start the course, there is no need to arrange courses separately, and students can study in class according to time; when the pre-collection time marking point number threshold is greater than or equal to the preset marking point number threshold, it represents that the minimum number of people for the course is met, and further according to the corresponding time unit and Average learning time, determine the future time, obtain the capacity of the training room corresponding to the target training course at the future time. If the number of marked points at the collection time is less than the capacity, it means that there are enough seats for the corresponding target students to study in the future; otherwise, it means that there are not enough seats for all students who need to undergo training to study immediately in the future. Traverse the time units after the future time, determine the to-be-allocated capacity of the training room for the target training course at the time corresponding to each traversed time unit, and judge whether the to-be-allocated capacity is greater than or equal to the threshold of the number of marked points. The to-be-allocated capacity corresponding to the current N traversed time units is greater than or equal to the threshold of the number of marked points, and the to-be-allocated capacity corresponding to the N+1th traversed time unit is less than the threshold of the number of marked points. The representation time of the first target time unit and the second target time unit is used as the start time, which improves the rationality of the determination of the start time.

[0133] In one embodiment, it further includes:

[0134] The training process review subsystem is used to connect to the training monitoring device of the training site and review the training process according to the monitoring data of the training monitoring device; wherein the training monitoring device includes: a camera, a sound receiving device and other devices set up in the training monitoring device to monitor the training behavior of the trainees;

[0135] Among them, the practical training process review sub-system includes:

[0136] The site punch-in information acquisition module is used to obtain the site punch-in information of the training site; the site punch-in information includes: the site punch-in face ID and the punch-in time; wherein, the site punch-in face ID is obtained through the face recognition device preset at the entrance of the training site, and when it is obtained, the punch-in time is automatically recorded;

[0137] The electronic signature automatic update module is used to obtain the electronic signature library according to the punch-in time, and automatically update the electronic signature library according to the face ID of the venue punch-in; wherein, the electronic signature library is obtained according to the punch-in time, and when obtaining, the course schedule information is determined according to the punch-in time, and then the list of students who need to punch in is determined based on the course schedule information. When the corresponding student face ID is recognized, the student is automatically marked in the electronic signature library for class;

[0138] The training process record data acquisition module is used to try to obtain the automatic update result. If the automatic update result is a successful update, the training process record is started based on the venue punch-in face ID to obtain the training process record data; wherein, the automatic update results include successful update and failed update. Successful update means that the student record corresponding to the venue punch-in face ID is identified in the electronic signature library and the student is marked as attending class; failed update means other situations except successful update, such as: the student record corresponding to the venue punch-in face ID is not identified in the electronic signature library; starting the training process record based on the venue punch-in face ID means tracking the person corresponding to the venue punch-in face ID in the venue and triggering the training monitoring device associated with the tracking process to record, such as: when a person enters area B, the camera in area B is turned on to shoot the training screen;

[0139] The standard training process data acquisition module is used to acquire standard training process data; wherein the standard training process data is the standard step data of the preset training process, such as: wearing goggles before welding;

[0140] The initial data difference value determination module is used to compare the standard training process data and the training process record data to obtain the initial data difference value; wherein the initial data difference value is: the difference between the standard training process data and the training process record data, such as: the welding step difference value, the difference value represents the degree of difference between the data, the larger the difference value, the more the corresponding training data needs to be recorded for subsequent review;

[0141] The communication behavior feature extraction module is used to obtain the communication behavior during the training process and extract the communication behavior features. The communication behavior features include: communication method, communication duration, and identity of the communication party. The communication behavior specifically refers to the training communication behavior between the person corresponding to the face ID of the venue punch-in and other personnel, such as: dialogue guidance from the instructor and action demonstration guidance from the training classmates.

[0142] The actual data difference value determination module is used to adjust the initial data difference value according to the preset initial data difference value adjustment strategy corresponding to the communication behavior characteristics to obtain the actual data difference value; wherein the initial data difference value adjustment strategy is: an adjustment scheme for adjusting the initial data difference value based on the communication behavior characteristics, which is manually preset, for example: the longer the communication time, the more the corresponding initial data difference value is adjusted upward;

[0143] A capture degree determination module is used to determine the capture degree of the training sub-process according to the actual data difference value and the preset difference value-capture degree determination library; wherein the preset difference value-capture degree determination library includes: one-to-one corresponding pre-selected difference values ​​and pre-selected capture degrees, and the pre-selected capture degree associated with the pre-selected difference value corresponding to the actual data difference value is used as the capture degree;

[0144] The training electronic report generation module is used to dispatch the camera associated with the site location to capture the scene if the capture degree is greater than or equal to the preset capture degree threshold, according to the site location of the training sub-process, and generate the training electronic report based on the capture result. Among them, the preset capture degree threshold is pre-set manually; the training electronic report is generated based on the capture result: the capture result (captured picture) is presented in the preset report content area of ​​the training electronic report.

[0145] The working principle and beneficial effects of the above technical solution are:

[0146] The present invention introduces the site punch-in information of the training site, obtains the electronic signature library corresponding to the punch-in time, and automatically signs based on the site punch-in face ID, which is more intelligent; based on the successfully updated site punch-in face ID, the training process record is started, the training process record data is obtained, the standard training process data is introduced, and the initial data difference value between the standard training process data and the training process record data is obtained. Since there may be guidance from other classmates or teachers during the training process, the initial data difference value cannot directly represent the training level of the punch-in personnel, and the communication behavior characteristics of the communication behavior of the training process are extracted. According to the preset initial data difference value adjustment strategy corresponding to the communication behavior characteristics, the initial data difference value is adjusted to obtain the final actual data difference value; a preset difference value-capture degree determination library is introduced to determine the capture degree of the training sub-process. When the capture degree is greater than the capture degree threshold, the camera associated with the site position of the training sub-process is dispatched to capture, and the capture result is used as the basis for generating a subsequent training electronic report. The training process monitoring is more accurate, which is convenient for teachers or students to view and guide the subsequent learning process.

[0147] The embodiment of the present invention provides a vocational education teaching training operation management method, such as Figure 2 As shown, including:

[0148] Step 1: Obtain target student information of target students who are to undergo vocational education and teaching training;

[0149] Step 2: Obtain practical training courses published by the teaching staff;

[0150] Step 3: Intelligently match the target student information and the practical training course information, determine the matching courses for the target students and perform intelligent class scheduling;

[0151] Step 4: Manage the target students accordingly based on the results of intelligent scheduling.

[0152] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A vocational education teaching training operation management system, characterized in that: include: The first acquisition subsystem is used to acquire target student information of target students who are undergoing vocational education and teaching practice; The second acquisition subsystem is used to acquire practical training courses published by the teaching staff; Intelligent course scheduling subsystem, used to intelligently match target student information with practical training course information, determine matching courses for target students and perform intelligent course scheduling; The management subsystem is used to manage target students accordingly based on the results of intelligent scheduling.

2. A vocational education teaching training operation management system as claimed in claim 1, characterized in that: The first acquisition subsystem includes: A registration data acquisition module is used to acquire the registration data of target students who log in to the vocational education teaching and training operation management platform; A collection data acquisition module is used to obtain the collection data of target students; The target student information determination module is used to determine the target student information based on the registration data and the collected data.

3. A vocational education teaching training operation management system as claimed in claim 1, characterized in that: The second acquisition subsystem includes: A module for obtaining information on the basis of practical training courses, used to obtain information on the basis of practical training courses; The recommended practical training course acquisition module is used to obtain recommended practical training courses through big data based on the practical training course basis information; The practical training course publishing module is used to guide the teaching staff to select and publish practical training courses from the recommended practical training courses.

4. A vocational education teaching training operation management system as claimed in claim 3, characterized in that: Recommended practical training course acquisition modules include: The submodule for obtaining basis item sets is used to parse the basis information of practical training courses and obtain basis item sets corresponding to multiple basis types; A node information item set acquisition submodule is used to traverse each big data provider node in turn, split the big data provider node information of the big data provider node being traversed based on the basis type, and obtain the node information item set corresponding to the basis type; The content matching value calculation submodule is used to perform content matching on the basis item set and the node information item set corresponding to the same basis type to obtain the content matching value; The target node determination submodule is used to determine the content matching degree according to the preset weight of the type and the content matching value, and select the big data providing nodes whose content matching degree is greater than or equal to the preset content matching degree threshold and use them as the target nodes; The recommended practical training course acquisition submodule is used to obtain recommended practical training courses from the target node.

5. A vocational education teaching training operation management system as claimed in claim 1, characterized in that: Intelligent course scheduling subsystem, including: A class scheduling feature extraction template acquisition module is used to obtain a class scheduling feature extraction template; The course scheduling feature extraction module is used to extract course scheduling features based on the course scheduling feature extraction template, target student information and practical training course information; the course scheduling features include: the theoretical course learning progress of the target students and the theoretical course progress corresponding to the practical training course; The intelligent course scheduling module is used to determine the matching courses for target students and perform intelligent course scheduling based on preset course scheduling rules and characteristics.

6. A vocational education teaching training operation management system as claimed in claim 5, characterized in that: Intelligent course scheduling module, including: A matching course determination time determination submodule is used to determine the matching course determination time of the matching course of the target student; The time schedule acquisition submodule is used to obtain the time schedule of the practical training course; The course schedule determination submodule is used to determine the course schedule of the practical training course corresponding to the matching course that is closest to the matching course determination time after the matching course determination time according to the matching course determination time and the time schedule, wherein the number of vacant seats for the scheduled courses in the course schedule is greater than 0; The course scheduling submodule is used to schedule courses for corresponding target students according to the course schedule. After the course scheduling is completed, the number of vacant seats in the scheduled courses is subtracted from the number of students to be scheduled.

7. A vocational education teaching training operation management system as claimed in claim 6, characterized in that: The time schedule acquisition submodule includes: A target practical training course determination unit is used to traverse each practical training course in turn and take the practical training course being traversed as the target practical training course; A historical average learning time acquisition unit is used to acquire the historical average learning time of the theoretical course progress corresponding to the target practical training course; A start time acquisition unit is used to determine the target theory course corresponding to the target practical training course and to acquire the start time of the target theory course for the target student; A scheduling time determination unit is used to determine the scheduling time of the target practical training course based on the start time and the historical average learning time; A storage unit, used to store the target training courses and the corresponding scheduled times into a preset empty list; The time schedule construction unit is used to complete the construction of the time schedule after all practical training courses have been traversed.

8. A vocational education teaching training operation management system as claimed in claim 7, characterized in that: Get the unit at the start time, including: A pre-collection time acquisition subunit is used to acquire the pre-collection time of the target theoretical course of the target student and mark the pre-collection time on a preset time axis; The time unit determination subunit is used to determine the time unit marked on the time axis and obtain the number of pre-collection time mark points in the time unit; The capacity determination subunit is used to determine the future time according to the first target time unit and the average learning time, if the number of marking points at the pre-collection time is greater than or equal to a preset marking point number threshold, using the corresponding time unit as the first target time unit; A capacity acquisition subunit is used to acquire the capacity of the training room corresponding to the target training course at a future moment; The first start time determination subunit is used to use the representation time of the corresponding first target time unit as the start time if the number of the collection time mark points of the first target time unit is less than or equal to the capacity; The subunit for determining the capacity to be allocated is used to sequentially traverse the time units after the future time if the number of the collected time mark points of the first target time unit is greater than the capacity, and obtain the capacity to be allocated of the training room of the target training course at the time corresponding to the traversed time unit; The second determination subunit of the start time is used to stop traversal if the first N determined capacities to be allocated are greater than or equal to the threshold of the number of marking points, and the N+1th determined capacity to be allocated is less than the threshold of the number of marking points, and the time unit corresponding to the traversal of the first N determined capacities to be allocated is used as the second target time unit, and the representation time of the first target time unit and the second target time unit is used as the start time, where N is an integer greater than or equal to 1.

9. A vocational education teaching training operation management system as claimed in claim 1, characterized in that: Also includes: The training process review subsystem is used to connect to the training monitoring device at the training site and review the training process based on the monitoring data of the training monitoring device.

10. A vocational education teaching training operation management method, characterized in that: include: Step 1: Obtain target student information of target students who are to undergo vocational education and teaching training; Step 2: Obtain practical training courses published by the teaching staff; Step 3: Intelligently match the target student information and the practical training course information, determine the matching courses for the target students and perform intelligent class scheduling; Step 4: Manage the target students accordingly based on the results of intelligent scheduling.

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