CN117350899A - Training and education management methods, devices, equipment and storage media - Google Patents

Abstract

The application discloses a training education management method, a device, equipment and a storage medium, and relates to the technical field of education management, wherein the method comprises the following steps: determining a learning purpose of a user, and determining a course to be learned of the user based on the learning purpose; the online courses in the courses to be learned are pushed to the user step by step, the fact that the user finishes learning of the online courses is monitored, and after the online courses pass through the examination, offline practice courses of the current level in the courses to be learned are pushed to the user; after receiving the notification that the user completes all offline practice courses and monitoring spot check examination, the notification that the user can go on duty smoothly is pushed to the user. In the method, through combination of online theoretical courses and offline practice courses, a user can convert theoretical knowledge into practice, working capacity of the user is improved, and whether the user has on duty or not is judged through spot check examination, so that the user can directly go on duty after training, and teaching quality is improved.

Description

Training and education management methods, devices, equipment and storage media

Technical field

This application relates to the technical field of education management, and in particular to a training and education management method, device, equipment and storage medium.

Background technique

As the pace of life accelerates, offline teaching models can no longer meet the needs of users, so users begin to use fragmented time and rely on online teachers for learning.

Online learning not only allows users to reasonably plan fragmented time, but also reduces the time spent traveling to educational institutions and increases users’ learning time. However, the existing online training and education platform is to watch training videos to learn. Users can choose courses according to their own needs. After passing online training, users cannot apply the knowledge they have learned in practice. That is, now Some online training and education platforms lack control over the quality of training and do not aim at smooth employment. After users complete their studies, there is no guarantee that users can directly go to work, which reduces the quality of teaching.

Contents of the invention

The main purpose of this application is to provide a training and education management method, device, equipment and storage medium, aiming to solve the problem in the existing technology of pre-job training that users cannot apply the learned knowledge in practice after passing online training. , technical issues that reduce the quality of teaching.

In order to achieve the above purpose, this application provides a training and education management method. The training and education management method includes:

Determine the user's learning purpose, and determine the courses to be learned by the user based on the learning purpose;

Push the online courses in the courses to be learned to the user step by step. After monitoring that the user has completed learning the online courses and passed the exam of the online courses, the to-be-learned courses are then pushed to the user. Offline practical courses for the current level in the study programme;

After receiving the notification that the user has completed all the offline practical courses and monitoring the spot check examination, a notification will be pushed to the user that the user can successfully start the job.

Optionally, after receiving a notification that the user has completed all the offline practical courses and monitoring the spot check exam, the step of pushing a notification to the user that the user can successfully start the job includes:

After receiving the notification that the user has completed all the offline practical courses and monitoring the random examination, push the notification to the user that he can successfully start the job until the user passes the exams of all the courses to be studied;

Push spot check exams to the users;

After the user passes the spot check examination, a notification that the user can successfully take up the job will be pushed to the user.

Optionally, after receiving a notification that the user has completed all the offline practical courses and monitoring the spot check exam, the step of pushing a notification to the user that the user can successfully start the job includes:

If the user fails the exam of the offline practical course, obtain the user's answer sheet;

Input the answer test paper into a preset knowledge point identification model, and identify knowledge points to be reviewed corresponding to wrong questions in the answer test paper based on the knowledge point identification model;

Wherein, the knowledge point identification model is obtained by training a preset model to be trained based on the marked knowledge points to be mastered and the sample test questions corresponding to the knowledge points to be mastered;

Based on the knowledge points to be reviewed, retraining courses are sorted out from the course library for the user to learn again, until the user passes all exams of the current level, and then the offline courses of the current level are pushed to the user. Practical courses.

Optionally, before the step of inputting the answer test paper into a preset knowledge point identification model and identifying knowledge points to be reviewed corresponding to wrong questions in the answer test paper based on the knowledge point identification model, Methods also include:

Obtain the sample test questions required to train the model to be trained from the preset test question bank;

Identify all knowledge points tested by the sample test questions;

Rank the knowledge points by weight based on the major to which the knowledge points belong;

Based on the weight ranking, the knowledge points marked within the preset weight range are the knowledge points to be mastered;

Based on the sample test questions and the knowledge points to be mastered, the model to be trained is trained to obtain a knowledge point identification model.

Optionally, before the step of pushing the offline practical courses of the current level to the user after the user passes all the exams of the current level, the method further includes:

After it is determined that the user has completed the current course to be learned, push examination questions corresponding to the course to be learned to the user, and monitor the user's examination process;

If it is detected that the user leaves the exam interface during the exam, it will be determined that the user cheated during the exam and the user's exam will be terminated;

If it is detected that the user's eyes leave the test screen during the test, it is determined that the user cheated during the test, and the user's test is terminated.

Optionally, after monitoring that the user has completed learning the online course and passed the exam of the online course, the step of pushing the offline practical course of the current level in the course to be learned to the user is Previously, this also included:

Based on the learning purpose, determine the industry in which the user is located;

Based on the industry, determine the proportion of knowledge that the user needs to master;

Based on the knowledge ratio, match the test questions corresponding to each level from the preset test question bank, and randomly select test questions from the test questions of all levels to obtain spot check test papers;

Push the exam questions and/or the spot check questions to the user for the user to complete the exam.

Optionally, the step of determining the user's learning purpose and determining the course to be learned by the user based on the learning purpose includes:

Determine the user's learning purpose, and determine the user's learning cycle based on the learning purpose;

Based on the learning cycle, the learning sessions required by the user are determined, and the courses to be learned required for each learning session are determined.

This application also provides a training and education management device. The training and education management device includes:

A determination module, used to determine the user's learning purpose, and determine the courses to be learned by the user based on the learning purpose;

The training module is used to push the online courses in the courses to be learned to the user step by step. After monitoring that the user completes the learning of the online courses and passes the exam of the online courses, the training module is used to push the online courses to the user step by step. Users push offline practical courses of the current level in the courses to be learned;

The spot check module is used to push a notification to the user that he can successfully start the job after receiving the notification that the user has completed all the offline practical courses and monitoring the spot check examination.

This application also provides a training and education management device. The training and education management device is an entity node device. The training and education management device includes: a memory, a processor, and a program of a training and education management method that is stored in the memory and can be run on the processor. When the program of the training and education management method is executed by the processor, the above-mentioned steps of the training and education management method can be implemented.

This application also provides a storage medium. The storage medium stores a program for implementing the above training and education management method. When the program for the training and education management method is executed by the processor, the steps of the above training and education management method are implemented.

This application provides a training and education management method, device, equipment and storage medium. Compared with the pre-job training in the existing technology, users cannot apply the knowledge they have learned in practice after passing the online training, which reduces the quality of teaching. In this application, the user's learning purpose is determined, and based on the learning purpose, the user's courses to be learned are determined; the online courses in the courses to be learned are pushed to the user step by step, and the user's completion is monitored. After studying the online course and passing the exam of the online course, the offline practice course of the current level in the course to be learned is pushed to the user; after receiving that the user has completed all the offline practice Course notifications, and after monitoring the spot check exams, push notifications to the users that they can successfully take up the job. In this application, after the user's learning purpose is determined, the courses to be learned that the user needs to learn can be determined based on the learning purpose, and then the online courses in the courses to be learned are pushed to the user step by step, so that the user can study in an orderly manner. After the user has studied each level of online courses and passed the exam of the online course, the offline practical courses in the courses to be learned will be pushed to the user. After the user has completed all the courses to be learned and passed the final spot check exam, , only then can we be sure that users can fully apply the knowledge they have learned in practice to improve the quality of teaching. That is, in this application, through the combination of online theoretical courses and offline practical courses, users can transform theoretical knowledge into Practice to improve the user's work ability, and after the user completes all the courses to be studied, through spot checks and exams, it is judged whether the user has the ability to take up the job. After the user has the ability to take the job, a notification will be pushed to the user that the user can successfully take up the job, so that Users can successfully take up their jobs after passing the training, which improves the quality of teaching.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.

In order to more clearly explain the embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the drawings needed to describe the embodiments or the prior art. Obviously, for those of ordinary skill in the art, It is said that other drawings can also be obtained based on these drawings without exerting creative work.

Figure 1 is a schematic flow chart of the first embodiment of the training and education management method of this application;

Figure 2 is a schematic flow chart of the second embodiment of the training and education management method of this application;

Figure 3 is a schematic diagram of the equipment structure of the hardware operating environment involved in the embodiment of the present application.

The realization of the purpose, functional features and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings.

Detailed ways

It should be understood that the specific embodiments described here are only used to explain the present application and are not used to limit the present application.

The embodiment of the present application provides a training and education management method. In the first embodiment of the training and education management method of the present application, with reference to Figure 1, the training and education management method includes:

Step S10, determine the user's learning purpose, and determine the courses to be learned by the user based on the learning purpose;

Step S20: Push the online courses in the courses to be learned to the user step by step. After monitoring that the user has completed learning the online courses and passed the exam of the online courses, push the online courses to the user. The current level of offline practical courses in the course to be studied;

Step S30: After receiving the notification that the user has completed all the offline practical courses and monitoring the spot check examination, a notification that the user can successfully start the job is pushed to the user.

The purpose of this embodiment is to enable users to apply theoretical knowledge in practice during the training process, improve the user's work ability, so that the user can successfully take up the job after completing the training, and thereby improve the teaching quality of the training.

In this embodiment, it should be noted that the training and education management method can be applied to the training and education management device, which is subordinate to the training and education management equipment, and the training and education management equipment belongs to the training and education management system.

In this embodiment, each level of course corresponds to a textbook. After the user has completed the course of the current level and passed the corresponding exam, the course of the next level will be pushed to the user to prevent the user from learning the basics well. In this case, continue to learn new courses and improve the quality of teaching.

It should be noted that each course to be studied includes at least one of online courses and offline practical courses, among which online courses are theoretical knowledge courses. That is to say, the courses to be learned may include only online courses, or only offline practical courses, or may include both online courses and offline courses. The details can be determined according to the user's learning purpose.

In this embodiment, "guaranteeing the basic access requirements for qualified employment and continuous training and improvement" is used as the final criterion for determining whether the training is qualified, strict pre-employment access and employment with certificates, and the implementation of the "Five Ones" training model and safety Skills visualization and comprehensive management. Among them, the "Five Ones" training model is an online and offline training model for security access that includes "one training (safety theory and practice), one textbook, one question bank, one assessment and one random test", that is, each level of each Each training has corresponding training materials and an examination question bank corresponding to those who can be qualified for employment. Each training at each level must pass the assessment before entering the next level of training. The effectiveness of the training at each level must be spot-checked before admission. Verification, visual management of skills for independent job assessment results. If during the random inspection process, those who pass the exam at level N will be returned to level N for retraining, so that users can still remember what they started learning when the training is completed. , It avoids forgetting the previous knowledge after learning the later knowledge, thereby preventing the user from being unable to work smoothly after taking up the job, thus improving the teaching quality of the training.

In this embodiment, it is also possible to establish user training and education files during the learning process, and implement visual tracking and comprehensive management of security skills to ensure that each access training can promptly implement the training responsibilities of each level, and the pertinence and effectiveness of the training. , truly achieve the purpose of qualified employment.

It should be noted that the courses to be learned at each level can be divided into multiple classrooms. Only after the user has completed the current lesson and completed the exam of the current lesson can he continue to study the next lesson to truly ensure that the user has mastered the requirements for employment. knowledge.

Specific steps are as follows:

Step S10, determine the user's learning purpose, and determine the courses to be learned by the user based on the learning purpose;

Among them, the courses to be studied include at least one of online courses and practical courses;

Among them, the purpose of learning can include but is not limited to induction training, job transfer training, reinstatement training, safety training or visits, etc., and there are no specific restrictions.

In this embodiment, according to the different learning purposes, the courses to be learned are pushed to the users are also different, that is, the focuses of the courses to be learned are also different, so that the courses to be learned are formulated according to the user's purpose, and the courses to be learned are reduced The user’s learning cycle improves training efficiency.

In this embodiment, in order for the user to master each knowledge point and apply the knowledge points into practice, the user needs to take offline practical courses after completing the theoretical knowledge in each level of courses to be learned online. Learning, through theory and practice, improves users' practical abilities, so that users can start working at any time after completing all courses.

In this embodiment, each level of the course can include multiple classes. After completing each class, the user needs to complete the exam of the corresponding class before continuing to study the content of the next class. Otherwise, re-education and training will be performed based on the class. Until the user fully masters the necessary knowledge.

It should be noted that through online learning of theoretical knowledge, users can make reasonable use of fragmented time. After completing the study of theoretical knowledge, they can then study practical courses, which can enable users to put theoretical knowledge into practice and improve their work. Ability, among which, offline practical courses can be one-on-one teaching between teachers and students, or one-on-one teaching through live broadcast connection to improve the flexibility of teaching.

Specifically, the step of determining the user's learning purpose and determining the course to be learned by the user based on the learning purpose includes:

Step S11, determine the user's learning purpose, and determine the user's learning cycle based on the learning purpose;

Step S12: Based on the learning cycle, determine the learning sessions required by the user, and determine the courses to be learned required for each learning session.

In this embodiment, since the user's total learning time is not fixed, before the user learns, it is necessary to determine the user's total lesson time based on the user's learning purpose, and reasonably arrange the user's learning based on the length of each learning time that the user can learn. cycles to increase training flexibility.

It should be noted that in order to provide users with motivation to learn, knowledge-breaking games can also be specified, and the user's study time and test scores can also be exchanged for points.

Step S20: Push the online courses in the courses to be learned to the user step by step. After monitoring that the user has completed learning the online courses and passed the exam of the online courses, push the online courses to the user. The current level of offline practical courses in the course to be studied;

In this embodiment, the courses to be learned are graded from easy to difficult. Only when the user completes the exam of the simple grade courses can he continue to study the later more difficult courses, so as to prevent the user from maliciously cheating on the course.

In this embodiment, the courses to be learned at each level can be divided into online courses, that is, theoretical courses, and offline practical courses. When the user completes the theoretical courses at each level and passes the theoretical courses, Then, practical courses of this level are pushed to users to achieve practical teaching, so that users can apply the knowledge they have learned at work.

It should be noted that the online courses of each level can be divided into multiple class hours. After the user completes the exam of all class hours of that level, offline practical courses will be pushed to the user to ensure the integrity of the knowledge used by the user in practice. sex.

In this embodiment, since the user's learning goal may be re-education and training, in order to save the user's training time, when the learning goal is re-education and training, the courses to be learned for the user need to be based on knowledge points that the user has not mastered. For the main courses, the knowledge points that users have mastered are auxiliary courses, which not only enable users to learn in a targeted manner, but also enable users to regularly review the knowledge points they have mastered to prevent users from forgetting while learning.

In this embodiment, each position corresponds to a set of teaching materials. When the user first starts learning, the teaching materials are pushed to the user step by step according to the difficulty level; during the user's re-education and training, the teaching materials can be pushed to the user based on the user's mastery of knowledge points. level, and rearrange the courses to be learned at each level to improve user training efficiency.

It should be noted that if the user's learning purpose is re-education and training, it is also necessary to study according to the level of the course, so that the user can better understand high-level knowledge, that is, more difficult knowledge points.

In this embodiment, the courses studied by the user, the duration of each study, and the user's examination status can also be recorded. The offline practical courses and/or practical examination process and examination results can be recorded and signed by the teaching teacher. , so that users’ learning and exams can be traced back to ensure the authenticity and reliability of the training.

Specifically, after receiving the notification that the user has completed all the offline practical courses and monitoring the spot check examination, the step of pushing the notification to the user that the user can successfully start the job includes:

Step S21: After receiving the notification that the user has completed all the offline practical courses and monitoring the spot check examination, a notification that the user can successfully start the job will be pushed to the user until the user has passed all the courses to be learned. examination;

Step S22, push the spot check exam to the user;

Step S23: After the user passes the spot check examination, a notification that the user can successfully take up the job is pushed to the user.

In this embodiment, the courses to be learned are divided into online courses and offline practical courses. When learning each level of courses, the user needs to first study the online courses and take the exam of the online courses. After passing the online courses After taking the exam, take offline practical courses to avoid safety problems and harm to users due to lack of theoretical knowledge when taking practical courses.

In this embodiment, after passing the examination of the online course, the user is given an offline practical course. The teaching can be such that the user can learn the knowledge theory of the system before practice and understand the corresponding steps in practice. knowledge points.

It should be noted that the online course is a theoretical course. After the user completes the online course, and then takes the offline practical course, the user can understand the basic usage of each theoretical knowledge point at work in the offline practical class, and Practical courses can also enable users to master theoretical knowledge faster, that is, deepen their understanding of theoretical knowledge points through practice and improve user training efficiency.

It should be noted that offline practical exams can be conducted by users in the form of shooting videos. That is, during the user exam process, the anti-cheating camera preset in the training and education management system is used to film every step of the practice. , and upload the video to the training and education management system so that the user's teacher or the training and education management system can score the practical exam.

Specifically, after receiving the notification that the user has completed all the offline practical courses and monitoring the spot check examination, the step of pushing the notification to the user that the user can successfully start the job includes:

Step A10: If the user fails the exam of the offline practical course, obtain the user's answer sheet;

Step A20: Input the answer test paper into a preset knowledge point identification model, and identify knowledge points to be reviewed corresponding to wrong questions in the answer test paper based on the knowledge point identification model;

Wherein, the knowledge point identification model is obtained by training a preset model to be trained based on the marked knowledge points to be mastered and the sample test questions corresponding to the knowledge points to be mastered;

Step A30: Based on the knowledge points to be reviewed, retraining courses are sorted out from the course library for the user to learn again, until the user passes all exams of the current level, and then the current level is pushed to the user offline practical courses.

In this embodiment, if the user fails the level test, the knowledge point set that caused the user to lose points is analyzed from the user's answer test paper based on the knowledge point identification model, and the retraining and education time for the user is determined based on the knowledge point set. The required level of the courses to be learned is required, and then based on the knowledge points that the user has lost points, the courses to be learned are rearranged in a targeted manner.

In this embodiment, the knowledge points to be reviewed corresponding to the wrong questions in the answer test paper are identified through the knowledge point recognition model, and the knowledge points to be reviewed that are more important to the major can be identified, so as to provide targeted information based on the importance of the knowledge points to be reviewed. The training courses are comprehensively organized to improve the accuracy of the retraining courses for knowledge points that users have not mastered.

In this embodiment, after the user completes each level of study, the user still needs to be tested again. After the user passes all the tests of the current level, the next level of courses to be learned is pushed to the user.

It should be noted that if the user has been unable to pass the exam at the current level, courses required for retraining and education will be pushed to the user until the user passes the exam, so that the user can fully master the necessary knowledge points before taking up the job, so that the user can Training that can be used for on-the-job training improves the teaching quality of the training.

Specifically, after monitoring that the user has completed learning the online course and passed the exam of the online course, the step of pushing the offline practical course of the current level in the course to be learned to the user is ,Also includes:

Step B10: Based on the learning purpose, determine the industry in which the user belongs;

Step B20: Based on the industry, determine the proportion of knowledge that the user needs to master;

Step B30: Match the test questions corresponding to each level from the preset test question bank based on the knowledge ratio, and randomly select test questions from the test questions of all levels to obtain spot check test papers;

Step B40: Push the exam questions and/or the spot check questions to the user for the user to complete the exam.

In this embodiment, since each industry has knowledge that must be mastered to get a job, after determining the industry in which the user belongs, that is, after determining the industry knowledge that the user needs to learn, the knowledge that the user must master is determined. Based on this knowledge, Questions can be fixed to enable users to master the knowledge they must master.

In this embodiment, the examination questions can also be randomly set according to the importance of each knowledge point, so as to prevent the user from simply reciting the answers and not being able to understand each knowledge point.

In this embodiment, by giving the user reasonable test questions, the user can be deeply impressed by the important knowledge points, and can also make the user understand how the important knowledge points can be flexibly applied, thereby improving the educational quality of the training.

Step S30: After receiving the notification that the user has completed all the offline practical courses and monitoring the spot check examination, a notification that the user can successfully start the job is pushed to the user.

Among them, the test questions in the spot check examination are no longer divided into levels, that is, the test questions in each level may appear in the test questions in the spot check examination.

In this embodiment, after the user has completed all levels of courses to be learned and passed the exam of the last level, it cannot be determined that the user can successfully take up the job, because the user may forget the previously learned knowledge when studying high-level courses. , in order to enable users to fully master the pre-employment knowledge before taking up the job, after the user completes the courses to be learned at all levels and passes the exam of the highest level, the user will then be given a spot check exam containing test questions of all levels. Use spot checks to test whether users have fully mastered the necessary knowledge points before joining the job to improve the quality of training.

In this embodiment, if the user passes the spot check exam, the user's answer is analyzed, the level at which the user needs to be retrained is determined based on the user's answer, and the corresponding course is pushed to the user.

It should be noted that the re-training course can be different from the course to be learned by the user for the first time. By analyzing the user's answer situation, the knowledge points that the user has not mastered are determined, and the re-training course is determined based on the knowledge points, that is, During the retraining process, users can be trained in a targeted manner to reduce user training time and enable users to fully master the necessary knowledge before joining the job and be able to apply it.

This application provides a training and education management method, device, equipment and storage medium. Compared with the pre-job training in the existing technology, users cannot apply the knowledge they have learned in practice after passing the online training, which reduces the quality of teaching. In this application, the user's learning purpose is determined, and based on the learning purpose, the user's courses to be learned are determined; the online courses in the courses to be learned are pushed to the user step by step, and the user's completion is monitored. After studying the online course and passing the exam of the online course, the offline practice course of the current level in the course to be learned is pushed to the user; after receiving that the user has completed all the offline practice Course notifications, and after monitoring the spot check exams, push notifications to the users that they can successfully take up the job. In this application, after the user's learning purpose is determined, the courses to be learned that the user needs to learn can be determined based on the learning purpose, and then the online courses in the courses to be learned are pushed to the user step by step, so that the user can study in an orderly manner. After the user has studied each level of online courses and passed the exam of the online course, the offline practical courses in the courses to be learned will be pushed to the user. After the user has completed all the courses to be learned and passed the final spot check exam, , only then can we be sure that users can fully apply the knowledge they have learned in practice to improve the quality of teaching. That is, in this application, through the combination of online theoretical courses and offline practical courses, users can transform theoretical knowledge into Practice to improve the user's work ability, and after the user completes all the courses to be studied, through spot checks and exams, it is judged whether the user has the ability to take up the job. After the user has the ability to take the job, a notification will be pushed to the user that the user can successfully take up the job, so that Users can successfully take up their posts after passing the training, which improves the quality of teaching.

Further, based on the above embodiment in this application, another embodiment of this application is provided. In this embodiment, referring to Figure 2, after passing the exam of the online course, the to-be-learned content is pushed to the user. The steps before the offline practical sessions for the current level in the course also include:

Step S01: After determining that the user has completed the current course to be learned, push test questions corresponding to the course to be learned to the user, and monitor the user's exam process;

Step S02: If it is detected that the user leaves the exam interface during the exam, it is determined that the user cheated during the exam and the user's exam is terminated;

Step S03: If it is detected that the user's eyes leave the test screen during the test, it is determined that the user cheated during the test, and the user's test is terminated.

In this embodiment, after it is determined that the user has completed the course to be studied at the current level, the test questions of the simulated examination can also be pushed to the user. If the user needs to take a simulated examination, the user's simulated examination process is recorded, and the user's simulated examination process is monitored. Whether there is cheating in the test, if there is cheating, the user test will be terminated, and based on the test papers answered by the user, it will be determined that the user has mastered the knowledge points, and re-education and training courses will be pushed to the user.

In this embodiment, in order to prevent the user from cheating, the user's test process needs to be monitored in real time during the test. After it is determined that the user is cheating, the user's test will be terminated immediately, and the user's current answer will be judged to prevent the user from cheating. By cheating to meet the pre-job standards, the teaching quality of the training is avoided from declining.

In this embodiment, since the training process includes online training, or the user records notes on the computer, in order to prevent the user from searching for information during the exam, during the exam or simulated exam, it is monitored that the user leaves the exam interface. , it can be determined that the user is cheating.

In Benshiqiang, in order to prevent users from checking answers on their mobile phones, if it is detected that the user's eyes leave the exam screen during the exam, the user can also be determined to be cheating.

In this embodiment, when monitoring sounds other than those of the user, it can also be determined that there is an unmonitored user next to the user who is giving prompts to the test user. Therefore, in this case, it can also be determined that the user is cheating.

Further, based on the above-mentioned embodiments of the present application, another embodiment of the present application is provided. In this embodiment, the answer test paper is input into a preset knowledge point identification model, and based on the knowledge point identification model, Before the step of the model identifying the knowledge points to be reviewed corresponding to the wrong questions in the answer test paper, the method also includes:

Step C10: Obtain the sample test questions required to train the model to be trained from the preset test question bank;

Step C20: Identify all knowledge points examined by the sample test questions;

Step C30: Rank the knowledge points by weight based on the major to which the knowledge points belong;

Step C40: Based on the weight ranking, the knowledge points marked within the preset weight range are the knowledge points to be mastered;

Step C50: Based on the sample test questions and the knowledge points to be mastered, train the model to be trained to obtain a knowledge point identification model.

In this embodiment, after obtaining the sample test questions needed to train the model to be trained from the test question bank, the knowledge points examined by each sample test question are identified, and then the importance of each knowledge point in the corresponding major is determined. , sort each knowledge point by weight according to the degree of importance, and mark the knowledge points to be mastered within the preset weight range, and use the knowledge points to be mastered and sample test questions to train the model to be trained, so that the obtained knowledge point recognition model It can accurately identify the knowledge points to be mastered and ignore irrelevant knowledge points to reduce the user's learning time and ensure that users can successfully get started after learning.

Referring to Figure 3, Figure 3 is a schematic diagram of the equipment structure of the hardware operating environment involved in the embodiment of the present application.

As shown in Figure 3, the training and education management device may include: a processor 1001, such as a CPU, a memory 1005, and a communication bus 1002. Among them, the communication bus 1002 is used to realize connection communication between the processor 1001 and the memory 1005. The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may optionally be a storage device independent of the aforementioned processor 1001.

Optionally, the training and education management equipment may also include a rectangular user interface, a network interface, a camera, an RF (Radio Frequency, radio frequency) circuit, a sensor, an audio circuit, a WiFi module, and so on. The rectangular user interface may include a display screen (Display) and an input sub-module such as a keyboard (Keyboard). The optional rectangular user interface may also include standard wired interfaces and wireless interfaces. Optional network interfaces may include standard wired interfaces and wireless interfaces (such as WI-FI interfaces).

Those skilled in the art can understand that the training and education management equipment mechanism shown in Figure 3 does not constitute a limitation on the training and education management equipment. It may include more or less components than shown in the figure, or some components may be combined or different. component layout.

As shown in Figure 3, memory 1005, which is a storage medium, may include an operating system, a network communication module, and a training and education management program. The operating system is a program that manages and controls the hardware and software resources of training and education management equipment, and supports the operation of training and education management programs and other software and programs. The network communication module is used to implement communication between components within the memory 1005, as well as communication with other hardware and software in the training and education management system.

In the training and education management equipment shown in Figure 3, the processor 1001 is used to execute the training and education management program stored in the memory 1005 to implement the steps of any of the above training and education management methods.

The specific implementation of the training and education management equipment of this application is basically the same as the above embodiments of the training and education management method, and will not be described again here.

This application also provides a training and education management device. The training and education management device includes:

A determination module, used to determine the user's learning purpose, and determine the courses to be learned by the user based on the learning purpose;

The training module is used to push the online courses in the courses to be learned to the user step by step. After monitoring that the user completes the learning of the online courses and passes the exam of the online courses, the training module is used to push the online courses to the user step by step. Users push offline practical courses of the current level in the courses to be learned;

The spot check module is used to push a notification to the user that he can successfully start the job after receiving the notification that the user has completed all the offline practical courses and monitoring the spot check examination.

Optionally, the spot check module includes:

The first push module is used to push notifications to the users that they can successfully take up the job after receiving notifications that the users have completed all the offline practical courses and monitoring random examinations until the users pass all the tests. Describe the examinations for the courses to be studied;

The second push module is used to push spot check exams to the user;

The spot check sub-module is used to push a notification to the user that he can successfully take up the job after the user passes the spot check examination.

Optionally, the first push module includes:

An acquisition module, used to obtain the user's answer test paper if the user fails the exam of the offline practical course;

An identification module, configured to input the answer test paper into a preset knowledge point identification model, and identify the knowledge points to be reviewed corresponding to wrong questions in the answer test paper based on the knowledge point identification model;

Wherein, the knowledge point identification model is obtained by training a preset model to be trained based on the marked knowledge points to be mastered and the sample test questions corresponding to the knowledge points to be mastered;

A sorting and pushing module is used to sort out retraining courses from the course library based on the knowledge points to be reviewed for the user to learn again, until the user passes all exams at the current level, and then to the user Push offline practical courses of the current level.

Optionally, the training and education management device also includes:

The acquisition sub-module is used to obtain the sample test questions required for training the model to be trained from the preset test question bank;

The identification sub-module is used to identify all knowledge points examined by the sample test questions;

A weight sorting module is used to weight sort the knowledge points based on the major to which the knowledge points belong;

A marking module, configured to sort based on the weight, and mark the knowledge points within the preset weight range as knowledge points to be mastered;

A training module, configured to train the model to be trained based on the sample test questions and the knowledge points to be mastered, to obtain a knowledge point identification model.

Optionally, the training and education management device also includes:

A monitoring module, configured to push examination questions corresponding to the course to be learned to the user after determining that the user has completed the current course to be learned, and monitor the user's examination process;

A first termination module, configured to determine that the user cheated during the exam and terminate the user's exam if it is detected that the user leaves the exam interface during the exam;

The second termination module is configured to determine that the user has cheated during the exam and terminate the user's exam if it is detected that the user's eyes leave the exam screen during the exam.

Optionally, the training and education management device also includes:

The first determination unit is used to determine the industry in which the user belongs based on the learning purpose;

The second determination unit is used to determine the proportion of knowledge that the user needs to master based on the industry;

A matching module, configured to match the test questions corresponding to each level from the preset test question bank based on the knowledge ratio, and randomly select test questions from the test questions of all levels to obtain spot check test papers;

A push unit is used to push the test questions and/or the spot check questions to the user so that the user can complete the test.

Optionally, the determining module includes:

The first determination sub-module is used to determine the user's learning purpose, and determine the user's learning cycle based on the learning purpose;

The second determination sub-module is used to determine the learning sessions required by the user based on the learning cycle, and determine the courses to be learned required for each learning session.

The specific implementation manner of the training and education management device of the present application is basically the same as the above embodiments of the training and education management method, and will not be described again here.

Embodiments of the present application provide a storage medium, and the storage medium stores one or more programs. The one or more programs can also be executed by one or more processors to implement any of the above training and education management. Method steps.

The specific implementation of the storage medium of this application is basically the same as the above embodiments of the training and education management method, and will not be described again here.

It should be noted that, in this document, the terms "comprising", "comprising" or any other variation thereof are intended to cover a non-exclusive inclusion, such that a process, method, article or device that includes a series of elements not only includes those elements, It also includes other elements not expressly listed or inherent in the process, method, article or apparatus. Without further limitation, an element defined by the phrase "including a, etc." does not exclude the presence of additional identical elements in a process, method, article, or device that includes that element.

The above serial numbers of the embodiments of the present invention are only for description and do not represent the advantages and disadvantages of the embodiments.

Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus the necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is better. implementation. Based on this understanding, the technical solution of the present invention can be embodied in the form of a software product in essence or the part that contributes to the existing technology. The computer software product is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk). ), includes several instructions to cause a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods of various embodiments of the present invention.

The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent mechanism or equivalent process transformation made using the contents of the description and drawings of the present invention may be directly or indirectly applied in other related technical fields. , are all similarly included in the scope of patent protection of the present invention.

Claims (10)

1. A training education management method, characterized by comprising:

determining a learning purpose of a user, and determining a course to be learned of the user based on the learning purpose;

the online courses in the courses to be learned are pushed step by step to the user, the fact that the user finishes learning of the online courses is monitored, and after examination of the online courses, offline practice courses of the current level in the courses to be learned are pushed to the user;

after receiving the notice that the user completes all off-line practice courses and monitoring spot check examination, pushing the notice that the user can go on duty smoothly.

2. The training education management method of claim 1 wherein the step of pushing the notice of smooth on-duty to the user after receiving the notice of completion of all the offline practice courses by the user and monitoring the spot check examination comprises:

after receiving the notice that the user completes all offline practice courses and monitors spot check examination, pushing the notice that the user can go on duty smoothly to the user until the user passes the examination of all the courses to be learned;

Pushing spot check examination to the user;

after the user passes the spot check examination, the user is pushed with a notice that the user can go on duty smoothly.

3. The training education management method of claim 2 wherein the step of pushing the notice of smooth on-duty to the user after receiving the notice of completion of all the offline practice courses by the user and monitoring the spot check examination further comprises:

if the user does not pass the examination of the offline practice course, obtaining an answer sheet of the user;

inputting the answer sheet into a preset knowledge point identification model, and identifying knowledge points to be reviewed corresponding to wrong questions in the answer sheet based on the knowledge point identification model;

the knowledge point identification model is obtained by training a preset model to be trained based on marked knowledge points to be mastered and sample test questions corresponding to the knowledge points to be mastered;

and based on the knowledge points to be reviewed, finishing retraining courses from the course library for the user to learn again until the user passes all examinations of the current level, and pushing the offline practice courses of the current level to the user.

4. The training education management method of claim 3 wherein the step of inputting the answer sheet into a preset knowledge point recognition model and recognizing the knowledge point to be reviewed corresponding to the wrong question in the answer sheet based on the knowledge point recognition model is preceded by the step of:

acquiring sample questions required by training the model to be trained from a preset examination question bank;

identifying all knowledge points examined by the sample test questions;

based on the expertise of the knowledge points, carrying out weight ranking on the knowledge points;

marking the knowledge points in a preset weight range as knowledge points to be mastered based on the weight sequencing;

and training the model to be trained based on the sample test questions and the knowledge points to be mastered to obtain a knowledge point identification model.

5. The training education management method of claim 1 wherein after the step of pushing the current level of the offline practice course of the courses to be learned to the user after the examination by the online course further comprises:

after determining that the user completes the current course to be learned, pushing examination questions corresponding to the course to be learned to the user, and monitoring an examination process of the user;

If the user is monitored to leave the examination interface in the examination process, judging that the user cheats in the examination process, and terminating the examination of the user;

if the fact that the user is away from the examination screen in the examination process is detected, judging that the user cheats in the examination process, and terminating the examination of the user.

6. The training education management method of claim 1 wherein the step of monitoring that the user completes the learning of the on-line course and after passing the examination of the on-line course, pushing the current level of the off-line practice course in the course to be learned to the user further comprises:

determining the industry of the user based on the learning purpose;

determining the knowledge proportion to be mastered by the user based on the industry;

based on the knowledge proportion, matching examination questions corresponding to each grade from a preset examination question library, and randomly extracting the examination questions from the examination questions of all grades to obtain spot check examination papers;

pushing the examination questions and/or the spot check questions to the user so that the user can complete the examination.

7. The training education management method of claim 1 wherein the step of determining the learning objective of the user and determining the course to be learned of the user based on the learning objective comprises:

Determining a learning objective of a user, and determining a learning period of the user based on the learning objective;

and determining the learning lessons required by the user based on the learning period, and determining the lessons to be learned required by each learning lesson.

8. A training education management apparatus, characterized by comprising:

the system comprises a determining module, a learning module and a learning module, wherein the determining module is used for determining the learning purpose of a user and determining a course to be learned of the user based on the learning purpose;

the training module is used for pushing online courses in the courses to be learned step by step to the user, monitoring that the user finishes learning of the online courses, and pushing offline practice courses of the current level in the courses to be learned to the user after examination of the online courses;

and the spot check module is used for pushing the notice which can be smoothly on duty to the user after receiving the notice that the user completes all the offline practice courses and monitoring the spot check examination.

9. A training education management apparatus, characterized by comprising: a memory, a processor, and a program stored on the memory for implementing a training education management method,

The memory is used for storing a program for realizing the training education management method;

the processor is configured to execute a program for implementing the training education management method to implement the steps of the training education management method as set forth in any one of claims 1 to 7.

10. A storage medium having stored thereon a program for implementing a training education management method, the program for implementing the training education management method being executed by a processor to implement the steps of the training education management method as set forth in any one of claims 1 to 7.