CN112541845A

CN112541845A - Online training method and device, electronic equipment and storage medium

Info

Publication number: CN112541845A
Application number: CN202011479945.8A
Authority: CN
Inventors: 孟淑玲
Original assignee: Taikang Life Insurance Co ltd; Taikang Insurance Group Co Ltd
Current assignee: Taikang Life Insurance Co ltd; Taikang Insurance Group Co Ltd
Priority date: 2020-12-15
Filing date: 2020-12-15
Publication date: 2021-03-23
Anticipated expiration: 2040-12-15
Also published as: CN112541845B

Abstract

The invention discloses a method and a device for on-line training, electronic equipment and a storage medium, and relates to the technical field of computers. One embodiment of the method comprises: receiving a current training request sent by a user terminal, and inquiring pre-stored historical training time information, training courses and training progress of a user; determining a target time period corresponding to the current training request according to the request time of the current training request and at least one historical time period, and determining a current training time length corresponding to a user according to the request time and the target time period of the current training request; determining a current course to be trained corresponding to a user according to the training progress and the training course; screening the content to be trained corresponding to the current training duration from the current course to be trained; and sending the content to be trained to the user terminal. The implementation mode can solve the problem that a user difficultly learns complete contents at one time during training, so that the learned knowledge structure is scattered, and the training efficiency of the user is reduced.

Description

Online training method and device, electronic equipment and storage medium

Technical Field

The invention relates to the technical field of computers, in particular to a method and a device for on-line training, electronic equipment and a storage medium.

Background

Currently, learning and understanding knowledge through online course training has become a way for users to learn what they need or are interested in. However, for users such as adults, it is difficult to extract the complete time for online course learning, i.e., training learning time fragmentation. Due to fragmentation of learning time, the training course is long generally, and a user is difficult to learn complete contents at one time during training, so that the learning knowledge structure is scattered, a complete knowledge system is difficult to form, and the training efficiency of the user is reduced.

Disclosure of Invention

In view of this, embodiments of the present invention provide a method, an apparatus, a system, and a storage medium for online training, which can solve the problem that it is difficult for a user to learn complete content at one time during training, which not only causes a study knowledge structure to be scattered, but also reduces training efficiency of the user.

To achieve the above object, according to an aspect of an embodiment of the present invention, there is provided a method of online training.

The method for on-line training comprises the following steps: receiving a current training request sent by a user terminal, and inquiring prestored historical training time information, training courses and training progress of the user, wherein the historical training time information comprises at least one historical time period used for online training of the user; determining a target time period corresponding to the current training request according to the request time of the current training request and the at least one historical time period, and determining a current training duration corresponding to the user according to the request time of the current training request and the target time period; determining a current course to be trained corresponding to the user according to the training progress and the training course; screening the to-be-trained content corresponding to the current training duration from the current to-be-trained course; and sending the content to be trained to the user terminal.

In one embodiment, the determining a target time period corresponding to the current training request according to the request time of the current training request and the at least one historical time period includes:

determining whether a time period including the request time exists in the at least one historical time period;

if so, determining a time period including the request time in the at least one historical time period as the target time period;

if not, judging whether a time period with the duration between the starting time and the request time being less than a duration threshold value exists in the at least one historical time period; if so, determining a time period with the duration between the starting time and the request time being less than a duration threshold as the target time period; if not, determining that the request time is the starting time of the target time period, and the duration of the target time period is the average duration corresponding to the at least one historical time period.

In another embodiment, the determining the current training duration corresponding to the user according to the request time of the current training request and the target time period includes:

if the target time period belongs to the at least one historical time period, determining the current training time length according to the request time and the end time of the target time period;

and if the target time period does not belong to the at least one historical time period, determining the current training time length according to the target time period.

In yet another embodiment, the training lesson comprises a plurality of training segments;

the follow in the course of waiting to train currently, filter with the content of waiting to train that the current training duration corresponds, include:

and screening N training segments from the current course to be trained to serve as content to be trained, wherein the total sum of the training durations corresponding to the N training segments is greater than or equal to the current training duration, and the total sum of the training durations corresponding to the N-1 training segments is smaller than the current training duration, and N is an integer greater than 1.

In another embodiment, before the determining, according to the training schedule and the training course, a current course to be trained corresponding to the user, the method further includes:

receiving the training course identification sent by the user terminal;

inquiring a course resource library according to the identification of the training course to obtain course associated information of the training course;

generating a course learning path corresponding to the user according to the course association information of the training course;

according to the training progress and the training course, determining the current course to be trained corresponding to the user, including:

and determining the current to-be-trained course corresponding to the user according to the training progress and the course learning path.

In yet another embodiment, the course association information includes a course level and a course inclusion relationship;

generating a course learning path corresponding to the user according to the course associated information of the training course, including:

determining the training sequence of the training courses according to the course grades and the course inclusion relationship of the training courses;

and generating a course learning path corresponding to the user according to the training sequence.

In another embodiment, after the generating the course learning path corresponding to the user according to the training sequence, the method further includes:

generating a course learning path graph according to the course learning path, the course associated information and the training progress;

and sending the course learning path diagram to the user terminal so as to be conveniently displayed to the user by the user terminal.

In another embodiment, the receiving the identification of the training course sent by the user terminal includes:

receiving user information sent by the user terminal, wherein the user information comprises training time information and training course preference parameters;

according to the user information, recommended courses are screened from the course resource library, and identification of the recommended courses is sent to the user terminal;

and receiving the identification of the training course sent by the user terminal, wherein the identification of the training course is determined by the user from the identification of the recommended course.

In another embodiment, before receiving the current training request sent by the user terminal, the method further includes:

judging whether the time length from the current time to the training starting time of the user is a preset threshold value or not according to the historical training time information of the user;

and if so, sending reminding information to the user terminal.

To achieve the above object, according to another aspect of the embodiments of the present invention, there is provided an apparatus for online training.

The device for on-line training of the embodiment of the invention comprises: the device comprises a receiving unit, a judging unit and a judging unit, wherein the receiving unit is used for receiving a current training request sent by a user terminal and inquiring prestored historical training time information, training courses and training progress of the user, and the historical training time information comprises at least one historical time period used for online training of the user; the determining unit is used for determining a target time period corresponding to the current training request according to the request time of the current training request and the at least one historical time period, and determining a current training duration corresponding to the user according to the request time of the current training request and the target time period; the determining unit is further configured to determine a current course to be trained corresponding to the user according to the training progress and the training course; the screening unit is used for screening the to-be-trained contents corresponding to the current training duration from the current to-be-trained curriculum; and the sending unit is used for sending the content to be trained to the user terminal.

In an embodiment, the determining unit is specifically configured to:

In another embodiment, the determining unit is specifically configured to:

the screening unit is specifically configured to:

In another embodiment, the receiving unit is further configured to receive an identification of the training course sent by the user terminal;

the device further comprises:

the query unit is used for querying a course resource library according to the identification of the training course to obtain course associated information of the training course;

the generating unit is used for generating a course learning path corresponding to the user according to the course associated information of the training course;

the determining unit is specifically configured to determine a current course to be trained corresponding to the user according to the training progress and the course learning path.

the generating unit is specifically configured to:

In another embodiment, the generating unit is further configured to generate a course learning path graph according to the course learning path, the course association information, and the training schedule;

the sending unit is further configured to send the course learning path diagram to the user terminal, so that the user terminal displays the course learning path diagram to the user.

In another embodiment, the receiving unit is specifically configured to:

In yet another embodiment, the apparatus further comprises:

the judging unit is used for judging whether the time length between the current time and the training starting time of the user is a preset threshold value or not according to the historical training time information of the user;

and the sending unit is also used for sending reminding information to the user terminal if the user terminal is the calling terminal.

To achieve the above object, according to still another aspect of an embodiment of the present invention, there is provided an electronic apparatus.

An electronic device of an embodiment of the present invention includes: one or more processors; a storage device configured to store one or more programs that, when executed by the one or more processors, cause the one or more processors to implement the method for online training provided by embodiments of the invention.

To achieve the above object, according to still another aspect of an embodiment of the present invention, there is provided a computer-readable medium.

A computer-readable medium of an embodiment of the invention has a computer program stored thereon, which when executed by a processor implements the method of online training provided by an embodiment of the invention.

One embodiment of the above invention has the following advantages or benefits: in the embodiment of the invention, after the current training request is received, the time length of the user for training, namely the current training time length, can be determined by combining with the historical training time information, then the current course to be trained, namely the course to be trained, is determined according to the training course and the training progress of the user, and then the content to be trained corresponding to the current training time length is screened from the course to be trained and is sent to the user terminal. In the embodiment of the invention, after the training request of the user terminal is received each time, the current training time of the user training can be determined according to the historical training time information, and then the content to be trained corresponding to the time is determined and sent to the user terminal, so that the user can complete the training of the corresponding content in limited time, the study knowledge structure is prevented from being scattered due to fragmentation of the training time and incapability of completing the training content at one time, a complete knowledge system is difficult to form, and the training efficiency of the user is reduced.

Further effects of the above-mentioned non-conventional alternatives will be described below in connection with the embodiments.

Drawings

The drawings are included to provide a better understanding of the invention and are not to be construed as unduly limiting the invention. Wherein:

FIG. 1 is a schematic diagram of a system architecture of an online training system according to an embodiment of the invention;

FIG. 2 is a schematic diagram of one major process flow of a method of on-line training according to an embodiment of the invention;

FIG. 3 is a schematic diagram of yet another major process flow of a method of on-line training according to an embodiment of the invention;

FIG. 4 is a schematic diagram of the major elements of an apparatus for online training according to an embodiment of the invention;

FIG. 5 is a diagram of yet another exemplary system architecture to which embodiments of the present invention may be applied;

FIG. 6 is a schematic block diagram of a computer system suitable for use in implementing embodiments of the present invention.

Detailed Description

Exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which various details of embodiments of the invention are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.

The embodiment of the invention provides an online training system which can be used in a scene of online training of a user. Specifically, the online training system may include one or more user terminals and a server, as shown in fig. 1, which is a schematic diagram of a system architecture of the online training system according to an embodiment of the present invention. In fig. 1, the online training system may include a plurality of user terminals, and a server, i.e., a training server, where data connection is established between each user terminal and the server, so as to perform data transmission. The user terminal can be loaded with an APP for online training, so that a user can perform online training through the user terminal, and the user terminal can receive user instructions and transmit the user instructions to the server. The server can store various training courses in advance, store relevant information of the user, provide training content for the user in time and the like.

The service end can be provided with a course resource library, and the course resource library stores the course resources for online training in advance, and can comprise a plurality of training courses.

Specifically, in order to adapt to the fragmented training time of the user, in the embodiment of the present invention, each training course may be split in advance, for example, a training course with an excessively long duration may be split into a plurality of training segments according to chapters and the like, and each training segment has a shorter duration and is adapted to the fragmented training duration of the user.

The server can set course information for each course, including course identification, segment identification, duration and the like, so as to store the information of each course segment in each available course. Meanwhile, the service end may further store association information between the courses, which may include course levels and course inclusion relationships, so that the service end may determine a training sequence of the courses based on the association information between the courses, and the association information between the service end and each course may be stored by an identifier, for example, a level identifier, an inclusion identifier (such as a parent course identifier, a child course identifier, and the like).

The embodiment of the invention provides a method for on-line training, which can be executed by a server side in an on-line training system, as shown in fig. 2, and comprises the following steps.

S201: and receiving a current training request sent by a user terminal, and inquiring pre-stored historical training time information, training courses and training progress of the user.

Wherein the historical training time information may include at least one historical time period that the user used for online training. The historical training time information, training courses and training progress of the user are stored in advance and can be updated according to information sent by the user through the user terminal. When the user can carry out online training, a current training request can be sent to the server through the user terminal, and after the server receives the current training request, historical training time information, training courses and training progress of the user can be inquired from pre-stored information. Specifically, the server can store corresponding relations between the user identification and historical training time information, training courses and training progress of the user respectively, the current training request can include the user identification, and therefore the server can inquire the historical training time information, the training courses and the training progress of the user according to the user identification.

The historical training time information represents time information that the user can use for training, and is generally a time period that the user can use for training, i.e., the historical training time information may include at least one historical time period that the user uses for online training, for example, the historical training time information of one user may be 2 pm to 4 pm every tuesday, 8 pm to 9 pm every thursday, and 7 am to 10 pm every sunday. Since the time that some users can use for training is fragmented, in the embodiment of the invention, the server can store the fragmented time information that each user expects to use for training in advance when the user initially trains (initializes), and the fragmented time information is used as historical training information.

For example, the user inputs the historical training time information at 2 pm to 4 pm every tuesday during initialization, but the user performs training at 3 pm to 4 pm every tuesday for a long time (e.g., one month) during the subsequent training process, so that the historical training time information of the user can be updated to 3 pm to 4 pm every tuesday.

In the embodiment of the invention, the server stores the historical training time information of the user, so that the starting time of each user training can be predicted, and in order to remind the user to participate in the training in time, the reminding information can be sent to the user before the starting time of each user training. Specifically, the following may be implemented: judging whether the time length between the current time and the training starting time of the user is a preset threshold value or not according to the historical training time information of the user; if so, sending reminding information to the user terminal to prompt the user to carry out online training; if not, the judgment can be continued. The user training starting time can be the starting time of each time slot in the historical training time information; the preset threshold may be set according to requirements, for example, may be set to 10 minutes; the reminding information can comprise training progress of the user, courses of the last training, courses to be trained and the like.

The training course represents the overall course which is determined by the user and needs on-line training, and is pre-stored for the server side when the user training is initialized. The training schedule may record the course schedule of the user training, which may include, for example, the content of each training study, and which courses of the overall course training have been completed, and the training schedule of the user may be updated according to the result of each training completion of the user.

S202: and determining a target time period corresponding to the current training request according to the request time of the current training request and at least one historical time period, and determining the current training time length corresponding to the user according to the request time of the current training request and the target time period.

The server receives a current training request to indicate that a user can perform online training at the current time, and then the server can determine a target time period corresponding to the current training request according to at least one historical time period in prestored historical training time information, and further determine the time length which can be used for online training by the current user according to the request time of the current training request, namely the current training time length, namely the time length which can be used for course training by the user at this time in the fragmentation time of the user.

The historical training time information may include at least one historical time period that the user may use for training, and each historical time period may include a start time and an end time, so that the training time period corresponding to the current training request, that is, the target time period, may be determined from the historical training time information according to the request time of the current training request, and thus, the current training duration corresponding to the user may be determined.

Specifically, in this step, a target time period corresponding to the current training request is determined according to the request time of the current training request and at least one historical time period, and the method may be specifically implemented as: judging whether a time period comprising the request time exists in at least one historical time period; if so, determining a time period including the request time in at least one historical time period as a target time period; if not, judging whether a time period with the duration between the starting time and the request time being less than a duration threshold exists in at least one historical time period; if so, determining a time period with the duration between the starting time and the request time being less than a duration threshold value as a target time period; if not, determining that the request time is the starting time of the target time period, wherein the duration of the target time period is the average duration corresponding to at least one historical time period.

If the request time of the current training request belongs to the time period in at least one historical time period, the historical time period can be directly determined to be the target time period corresponding to the current training request; if the request time of the current training request does not belong to any time period in at least one historical time period, whether a time period with the time length between the starting time and the request time being less than a time length threshold value exists in the at least one historical time period can be judged; if yes, the historical time period can be directly determined to be a target time period corresponding to the current training request; if not, the request time can be determined as the starting time of the target time period, and the duration of the target time period is the average duration corresponding to at least one historical time period. The duration threshold may be set according to an application scenario. For example, 10 minutes, 0.5 hour, 1 hour, etc., and the average duration corresponding to at least one of the historical time periods may be the total duration of each of the historical time periods divided by the number of the historical time periods.

For example, the historical training time information of the user may be 2 pm to 4 pm per tuesday, 8 pm to 9 pm per thursday, and 7 am to 10 pm per sunday, and the historical time periods include 2 pm to 4 pm per tuesday, 8 pm to 9 pm per thursday, and 7 am to 10 pm per sunday, that is, the number of the historical time periods is 3, and the total time duration of each historical time period is 6 hours, so that the average time duration corresponding to at least one historical time period may be determined to be 2 hours, in the embodiment of the present invention, the setting of the time duration threshold value to be 0.5 hours is taken as an example for description. At this time, if the request time of the current training request is 3 pm on tuesdays, it may be determined that the current training request belongs to a historical time period of 2 pm to 4 pm on tuesdays, that is, it may be determined that the target time period corresponding to the current training request is 2 pm to 4 pm on tuesdays. If the request time of the current training request is 1 pm on tuesdays and 40 pm, the time duration between the request time and the starting time in the historical time period of 2 pm to 4 pm on tuesdays can be determined to be 20 minutes, namely, less than the time duration threshold value, so that the current training request can be determined to belong to the historical time period of 2 pm to 4 pm on tuesdays. If the request time of the current training request is 9 am on tuesday, it can be determined that the current training request does not belong to any historical time period, and the time length between the request time and the starting time of any historical time period is greater than a time length threshold, it can be determined that 9 am on tuesday is the starting time of the target time period, and the time length of the target time period is 2 hours, namely, the target time period is 9 am on tuesday to 11 am.

Specifically, in this step, the current training duration corresponding to the user is determined according to the request time of the current training request and the target time period, and may be specifically executed as: if the target time period belongs to at least one historical time period, determining the current training duration according to the request time and the end time of the target time period; and if the target time period does not belong to at least one historical time period, determining the current training time length according to the target time period.

The target time period belongs to at least one historical time period, which indicates that the target time period is determined from historical training time information, and then the current training time length can be determined according to the request time and the end time of the target time period, specifically, the request time can be determined as the start time of the current training, and the end time of the target time period can be determined as the end time of the current training, so that the current training time length can be determined as the time length from the request time to the end time of the target time period. The target time period does not belong to at least one historical time period, the duration of the target time period is the average duration corresponding to at least one historical time period, and the duration of the target time period can be directly determined as the current training duration.

For example, the historical training time information of the user may be 2 pm to 4 pm per tuesday, 8 pm to 9 pm per thursday, and 7 am to 10 pm per sunday, and the historical time periods include 2 pm to 4 pm per tuesday, 8 pm to 9 pm per thursday, and 7 am to 10 pm per sunday, the number of the historical time periods is 3, and the total time duration of each historical time period is 6 hours, and it may be determined that the average time duration corresponding to at least one historical time period is 2 hours. At this time, if the request time of the current training request is 3 pm on tuesdays, it may be determined that the target time period corresponding to the current training request is 2 pm to 4 pm on tuesdays, that is, the target time period belongs to at least one historical time period, it may be determined that the start time of the current training is 3 pm on tuesdays, and the end time of the current training is 4 pm on tuesdays, so that the current training duration is 1 hour. If the request time of the current training request is 1 pm on a tuesday and 40 minutes on a afternoon basis, the target time period corresponding to the current training request can be determined to be a historical time period from 2 pm to 4 pm on a tuesday, that is, the target time period belongs to at least one historical time period, the starting time of the current training can be determined to be 1 pm on a tuesday and 40 minutes on a tuesday and the ending time of the current training is 4 pm on a tuesday, and therefore the current training duration is 2 hours and 20 minutes. If the request time of the current training request is 9 am on tuesday, it can be determined that the target time period does not belong to any historical time period, and the duration of the target time period can be determined as the current training duration, that is, the current training duration is 2 hours.

S203: and determining the current to-be-trained course corresponding to the user according to the training progress and the training course.

The course that the user has been trained can be determined based on the training progress, and then the course that the user needs to be trained next, namely the current course to be trained corresponding to the user can be determined by combining the training course of the user.

S204: and screening the content to be trained corresponding to the current training time length from the current course to be trained.

In order to avoid that the training time of the training course is too long, so that a user with fragmented training time cannot complete the training of the complete course at one time, in the embodiment of the present invention, after the current training time is determined in step S202, the content to be trained corresponding to the current training time can be screened from the course to be trained, and the course to be trained specifically may include the identifier of the training segment.

Each training course comprises a plurality of training segments, and the steps can be specifically executed as follows: and screening N training segments from the current curriculum to be trained to serve as content to be trained, wherein the total sum of the training durations corresponding to the N training segments is greater than or equal to the current training duration, the total sum of the training durations corresponding to the N-1 training segments is smaller than the current training duration, and N is an integer greater than 1.

In the embodiment of the invention, the training course is divided into the training segments, so that the content to be trained can be determined by taking the training segments of the training course as units.

After the current training time length is determined, in order to meet the current training requirement of the user, the content to be trained screened out by the server needs to meet the current training time length of the user, namely the total time length of the content to be trained needs to be larger than the current training time length. However, in order to avoid that the duration of the content to be trained is too long, so that the user cannot complete training at one time, and the data transmission between the server and the user terminal is reduced, so that the duration of the content to be trained is not required to be too long, N training segments are screened from the current course to be trained in the step as the content to be trained, wherein the sum of the training durations corresponding to the N training segments is greater than the current training duration so as to ensure that the duration of the content to be trained is greater than the current training duration, and the sum of the training durations corresponding to the N-1 training segments is less than the current training duration, i.e., the total training duration after any one training segment is reduced in the N training segments is less than the current training duration, so that the total training duration after any one training segment is reduced in the N training segments can no longer meet the current training requirement of the user, and the skill of the N training segments can meet the current training, and the user can not finish training at one time due to overlong.

S205: and sending the content to be trained to the user terminal.

And sending the determined content to be trained to the user terminal so that the user can conveniently carry out online training on the content to be trained through the user terminal.

It should be noted that, in the embodiment of the present invention, after the step S205 is executed, the user performs online training on the content to be trained through the user terminal. After the user finishes the training, training end information can be fed back to the server through the user terminal, the training end information can include training content and user identification finished by the current training of the user, and the server can update the training progress of the user according to the training end information after receiving the training end information. The content to be trained is sent to the user terminal in the step, and the user can not finish training completely, so that the training content finished by the user in the training finishing information at present can be the same as the content to be trained sent to the user terminal in the step and can also be different from the content to be trained sent to the user terminal in the step, and the service end needs to update the training progress of the user according to the training content finished by the user in the training finishing information at present so as to ensure the accuracy of the training progress of the user.

In addition, in the embodiment of the invention, the training content of the user can be examined after each user training, and the subsequent course training can be carried out only after the examination of the user is passed.

In the embodiment of the invention, the current training time of the user can be determined after the training request of the user terminal is received each time, and the content to be trained corresponding to the time is further determined and sent to the user terminal, so that the user can complete the training of the corresponding content in a limited time, and the situation that the training content cannot be completed at one time due to the fact that the training time of the user is fragmented and the training content is too long, which further causes the scattered learning knowledge structure, is difficult to form a complete knowledge system, and the training efficiency of the user is also reduced.

It should be noted that, before the embodiment shown in fig. 2 is executed, when the user initially trains, the server may initialize information of the user so as to determine and store relevant information of the user, for example, training courses of the user, historical training time information, and the like.

Referring to the system architecture shown in fig. 1 and the embodiment shown in fig. 2, a detailed description will be given of a process for initializing relevant information of a user in the embodiment of the present invention, as shown in fig. 3, the method includes the following steps.

S301: and receiving the training course identification sent by the user terminal.

The identification of the training course represents the identification of the user on-line training general course, the identification can be directly input into a user terminal for the user and sent to a server by the user terminal, and the identification can also be determined from the recommended course by the user after the server recommends the course to the user terminal.

Specifically, this step may be performed as: receiving user information sent by a user terminal, wherein the user information comprises training time information and training course preference parameters; according to the user information, selecting recommended courses from a course resource library, and sending identifications of the recommended courses to the user terminal; and receiving the identification of the training course sent by the user terminal, wherein the identification of the training course is determined by the user from the recommended course.

When the user needs to carry out online training, user information can be sent to the server side through the user terminal. The user information may include historical training time information and training course preference parameters, among others. After receiving the user information, the server can screen recommended courses recommended to the user from the course resource library according to training course preference parameters and the like of the user, and send identifications of the recommended courses to the user terminal, so that the user can select training courses from the recommended courses after the user terminal displays the recommended courses, namely the identifications of the training courses. The user terminal can send the identification of the training course determined by the user to the server, and after receiving the identification of the training course, the server can determine the training course of the user from the course resource library and store the training course.

The historical training time information is a time period during which the user may be trained, for example, 2 pm to 4 pm every tuesday. The training course preference parameters are parameters representing learning-oriented direction, training requirements and training preferences of the user, and for example, the training course preference parameters may include knowledge base information, training preference information, post information, interest information and the like.

It should be noted that, in the embodiment of the present invention, the user information may further include a work department, a job title, a training experience of the user, and a fragmented learning preference of the user, for example, one or more learning periods, a learning place, and the like every day, so that the server may determine a recommended course for the user more accurately. The course resource library can comprise required courses and optional courses, wherein the required courses can comprise courses which a student must take for repairing, and can comprise basic courses and professional courses for example; the course selection and repair city can comprise courses which can be selectively repaired by the student, the knowledge required by the required course selection and extension can be supplemented and extended, the student is helped to build a complete knowledge system, and the server can screen recommended courses recommended to the user according to the training course preference parameters of the user.

S302: and inquiring the course resource library according to the identification of the training course to obtain the course associated information of the training course.

After receiving the identification of the training course, the server can determine the training course of the user and the associated information of the training course from the course resource library.

The course associated information comprises course levels and course containing relations, and can embody the training sequence of courses. For example, in the embodiment of the present invention, the course levels may be set according to the knowledge depth and difficulty level of the courses, for example, the courses include a primary course, a middle course and a high course, the more difficult the course is, the higher the course level is, the user needs to learn in the order of the course levels from low to high, and thus the training order of the training courses may be determined according to the course levels and the inclusion relationship.

S303: and generating a course learning path corresponding to the user according to the course association information of the training course.

The course associated information can embody the training sequence of the courses, so that the course learning path corresponding to the user can be generated according to the course associated information of the training courses in the step. The course learning path represents a path of each course in the training course of the user for training in sequence. Specifically, this step may be specifically executed as: determining the training sequence of the training courses according to the course grade and the course inclusion relationship of the training courses; and generating a course learning path corresponding to the user according to the training sequence.

After the course learning path is determined in this step, each course may determine a training sequence according to the course learning path, and in step S203, the server may determine a current course to be trained of the user, that is, a course that the user is about to need training, according to the training progress and the course learning path of the user.

In the embodiment of the present invention, after determining the course learning path corresponding to the user, the method may further include: generating a course learning path according to the course learning path, the course associated information and the training progress; and sending the course learning path graph to the user terminal so as to be conveniently displayed to the user by the user terminal.

After the course learning path is determined, a course learning path graph can be generated, wherein the course learning path graph comprises the course learning path of the training course of the user, course association information, training progress and the like, and the server can send the course learning path graph to the user terminal, so that the user terminal can display the course learning path graph to the user conveniently.

It should be noted that the course learning path diagram may further include a time length of each course, included course segments, and a time length of each course segment, so that the user may query detailed information in each course through the course learning path diagram. Specifically, the course learning path graph can display the learning path of the training course in a module mode.

The server receives the relevant information of the user through the process, and stores the relevant information, so that after the training request of the user is received, the content to be trained is determined based on the stored relevant information and is sent to the user terminal, and the user can perform online training through fragmentation time.

In the embodiment of the invention, the server divides the course into the course segments, so that the examination mode can be set for the user on the basis of the course segments. Specifically, in the user training process, each course segment is completed by the user terminal, prompt information can be sent to the server, after the server receives the information to be prompted, corresponding examination content can be sent to the user terminal, examination results sent by the user terminal are received, and after the examination results are determined to be passed, the user is allowed to perform subsequent content training.

Meanwhile, the server side can also generate a learning report for the user and push the learning report to the user terminal. The pushing time of the learning report can be set according to requirements, for example, the pushing is carried out according to the day, week, month and year. The learning report may include training progress, training content, test results, etc. of the user. And the learning report may also be displayed in the learning path graph for viewing by the user.

In the embodiment of the invention, the server can also perform statistical analysis on information such as specific time and mode of each training of the user, and update the user information according to the result of the statistical analysis so as to more accurately provide training content for the user.

In order to solve the problems in the prior art, an embodiment of the present invention provides an apparatus 400 for online training, as shown in fig. 4, the apparatus 400 includes:

a receiving unit 401, configured to receive a current training request sent by a user terminal, and query prestored historical training time information, training courses, and training progress of the user, where the historical training time information includes at least one historical time period for online training of the user;

a determining unit 402, configured to determine a target time period corresponding to the current training request according to the request time of the current training request and the at least one historical time period, and determine a current training duration corresponding to the user according to the request time of the current training request and the target time period;

the determining unit 402 is further configured to determine a current course to be trained corresponding to the user according to the training progress and the training course;

a screening unit 403, configured to screen a to-be-trained content corresponding to the current training duration from the current to-be-trained course;

a sending unit 404, configured to send the content to be trained to the user terminal.

It should be understood that the manner of implementing the embodiment of the present invention is the same as the manner of implementing the embodiment shown in fig. 2, and the description thereof is omitted.

In another implementation manner of the embodiment of the present invention, the determining unit is specifically configured to:

In an implementation manner of the embodiment of the present invention, the training course includes a plurality of training segments;

the screening unit 403 is specifically configured to:

In another implementation manner of the embodiment of the present invention, the receiving unit 401 is further configured to receive an identifier of the training course sent by the user terminal;

the apparatus 400 further comprises:

the determining unit 402 is specifically configured to determine a current course to be trained corresponding to the user according to the training progress and the course learning path.

In another implementation manner of the embodiment of the present invention, the course association information includes a course level and a course inclusion relationship;

the generating unit is specifically configured to:

In another implementation manner of the embodiment of the present invention, the generating unit is further configured to generate a course learning path graph according to the course learning path, the course association information, and the training schedule;

the sending unit 404 is further configured to send the course learning path diagram to the user terminal, so that the user terminal displays the course learning path diagram to the user.

In another implementation manner of the embodiment of the present invention, the receiving unit 401 is specifically configured to:

In another implementation manner of the embodiment of the present invention, the apparatus 400 further includes:

the sending unit 404 is further configured to send a notification message to the ue if the ue is in the idle state.

In the embodiment of the invention, the current training time of the user can be determined after the training request of the user terminal is received each time, and the content to be trained corresponding to the time is further determined and sent to the user terminal, so that the user can complete the training of the corresponding content in a limited time, the study knowledge structure is prevented from being scattered due to the fact that the training content cannot be completed at one time due to fragmentation of the training time, a complete knowledge system is difficult to form, and the training efficiency of the user is reduced.

The invention also provides an electronic device and a readable storage medium according to the embodiment of the invention.

The electronic device of the present invention includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the one processor to cause the at least one processor to perform a method of online training as provided by embodiments of the present invention.

Fig. 5 illustrates an exemplary system architecture 500 of a method of online training or an apparatus of online training to which embodiments of the invention may be applied.

As shown in fig. 5, the system architecture 500 may include

terminal devices

501, 502, 503, a network 504, and a server 505. The network 504 serves to provide a medium for communication links between the

terminal devices

501, 502, 503 and the server 505. Network 504 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal devices

501, 502, 503 to interact with a server 505 over a network 504 to receive or send messages or the like. Various client applications may be installed on the

terminal devices

501, 502, 503.

The

terminal devices

501, 502, 503 may be various electronic devices having a display screen, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The server 505 may be a server providing various services, and the server may analyze and process data such as a received product information query request, and feed back a processing result (for example, product information — just an example) to the terminal device.

It should be noted that the method for online training provided by the embodiment of the present invention is generally performed by the server 505, and accordingly, the device for online training is generally disposed in the server 505.

It should be understood that the number of terminal devices, networks, and servers in fig. 5 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

Referring now to FIG. 6, a block diagram of a computer system 600 suitable for use in implementing embodiments of the present invention is shown. The computer system illustrated in FIG. 6 is only one example and should not impose any limitations on the scope of use or functionality of embodiments of the invention.

As shown in fig. 6, the computer system 600 includes a Central Processing Unit (CPU)601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)602 or a program loaded from a storage section 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the system 600 are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.

The following components are connected to the I/O interface 605: an input portion 606 including a keyboard, a mouse, and the like; an output portion 607 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 608 including a hard disk and the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the internet. The driver 610 is also connected to the I/O interface 605 as needed. A removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 610 as necessary, so that a computer program read out therefrom is mounted in the storage section 608 as necessary.

In particular, according to the embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 609, and/or installed from the removable medium 611. The computer program performs the above-described functions defined in the system of the present invention when executed by the Central Processing Unit (CPU) 601.

It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a unit, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present invention may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes a receiving unit, a determining unit, an acquiring unit, and a comparing unit. Where the names of these elements do not in some cases constitute a limitation of the element itself, for example, a receiving element may also be described as "an element of the function of the receiving element".

As another aspect, the present invention also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable medium carries one or more programs which, when executed by a device, cause the device to perform the method of online training provided by the present invention.

The above-described embodiments should not be construed as limiting the scope of the invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions can occur, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method of online training, comprising:

receiving a current training request sent by a user terminal, and inquiring prestored historical training time information, training courses and training progress of the user, wherein the historical training time information comprises at least one historical time period used for online training of the user;

determining a target time period corresponding to the current training request according to the request time of the current training request and the at least one historical time period, and determining a current training duration corresponding to the user according to the request time of the current training request and the target time period;

determining a current course to be trained corresponding to the user according to the training progress and the training course;

screening the to-be-trained content corresponding to the current training duration from the current to-be-trained course;

and sending the content to be trained to the user terminal.

2. The method of claim 1, wherein determining a target time period for the current training request based on the request time for the current training request and the at least one historical time period comprises:

3. The method according to claim 1 or 2, wherein the determining a current training duration corresponding to the user according to the request time of the current training request and the target time period comprises:

4. The method of claim 1, wherein the training lesson comprises a plurality of training segments;

5. The method as claimed in claim 1, wherein before determining the current training course corresponding to the user according to the training schedule and the training course, the method further comprises:

receiving the training course identification sent by the user terminal;

6. The method as claimed in claim 5, wherein the course association information includes course level and course containing relationship;

7. The method as claimed in claim 5, wherein the receiving of the identification of the training course sent by the user terminal comprises:

8. An apparatus for online training, comprising:

the device comprises a receiving unit, a judging unit and a judging unit, wherein the receiving unit is used for receiving a current training request sent by a user terminal and inquiring prestored historical training time information, training courses and training progress of the user, and the historical training time information comprises at least one historical time period used for online training of the user;

the determining unit is used for determining a target time period corresponding to the current training request according to the request time of the current training request and the at least one historical time period, and determining a current training duration corresponding to the user according to the request time of the current training request and the target time period;

the determining unit is further configured to determine a current course to be trained corresponding to the user according to the training progress and the training course;

the screening unit is used for screening the to-be-trained contents corresponding to the current training duration from the current to-be-trained curriculum;

and the sending unit is used for sending the content to be trained to the user terminal.

9. An electronic device, comprising:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.

10. A computer-readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the method according to any one of claims 1-7.