WO2019033427A1

WO2019033427A1 - Online teaching system task allocation method, device, server and storage medium

Info

Publication number: WO2019033427A1
Application number: PCT/CN2017/098152
Authority: WO
Inventors: 韩荣华; 王雁
Original assignee: 深圳市华第时代科技有限公司
Priority date: 2017-08-18
Filing date: 2017-08-18
Publication date: 2019-02-21

Abstract

The invention is applied to the technical field of online teaching and provides an online teaching system task allocation method, device, server and storage medium. The method comprises: acquiring a preset learning task flow when an assignment allocation request is received from a learning user, wherein the learning task flow is composed of a plurality of related learning tasks; acquiring a learning task to be allocated to the learning user from the learning task flow according to a task completion historical record of the learning user; and allocating the acquired learning task to the learning user. According to the task allocation method and device, the learning task is allocated to the learning user according to the task completion historical record of the learning user, achieving distinguished allocation of the learning tasks, and improving the availability of the online teaching system.

Description

Task distribution method, device, server and storage medium for online teaching system

Technical field

The invention belongs to the field of online teaching technology, and in particular relates to a task distribution method, device, server and storage medium of an online teaching system.

Background technique

With the development of computer networks, the education field has also been increasingly influenced by online and distance education, and teaching has moved from offline classrooms to online. The teacher can arrange assignments online and directly annotate the assignments handed over by the instructed students. Teachers and students can also communicate in real time through the system through short messages. In addition, the teacher's ratings and comments, students can also directly view, easy to urge students to better correct the deficiencies in the next stage, improve the writing level of the paper, thus breaking the time and space barriers of educational activities. However, the existing online teaching system is simply to publish the assignments or experiments specified by the teacher when the operation or experiment is arranged. It is difficult to achieve targeted arrangement, and the role of the online teaching system cannot be effectively utilized, and the availability of the online teaching system is reduced.

technical problem

The object of the present invention is to provide a task distribution method, device, server and storage medium for an online teaching system, which aims to solve the problem that the existing online teaching system cannot provide an effective task distribution method, resulting in poor availability of the existing online teaching system. The problem.

Technical solution

In one aspect, the present invention provides a task distribution method for an online teaching system, the method comprising the steps of:

Acquiring a preset learning task flow when receiving a job assignment request from a learning user, the learning task flow being composed of a plurality of associated learning tasks;

And obtaining, according to the task completion history record of the learning user, a learning task assigned to the learning user from the learning task flow, and distributing the acquired learning task to the learning user.

In another aspect, the present invention provides a task distribution apparatus for an online teaching system, the apparatus comprising:

a task flow obtaining unit, configured to: when receiving a job assignment request from the learning user, acquire a preset learning task flow, where the learning task flow is composed of a plurality of associated learning tasks;

a task distribution unit, configured to complete a history record according to the task of the learning user, obtain a learning task assigned to the learning user from the learning task stream, and distribute the acquired learning task to the learning user.

In another aspect, the present invention also provides a teaching server including a memory, a processor, and a computer program stored in the memory and operable on the processor, the processor implementing the computer program The steps of the method as described above.

In another aspect, the present invention also provides a computer readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method as previously described.

Beneficial effect

When receiving the job assignment request from the learning user, the present invention acquires a preset learning task stream, which is composed of a plurality of associated learning tasks, completes the history record according to the task of the learning user, and obtains the distribution from the learning task stream. The learning task of the learning user is distributed to the learning user, so that the learning task is distributed to the learning user for the learning user task completion history record, the differential distribution of the learning task is realized, and the availability of the online teaching system is improved. .

DRAWINGS

1 is a flowchart of implementing a task distribution method of an online teaching system according to Embodiment 1 of the present invention;

2 is a schematic diagram of a learning task flow according to Embodiment 1 of the present invention;

3 is a flowchart of implementing a task distribution method of an online teaching system according to Embodiment 2 of the present invention;

4 is a flowchart of implementing a task distribution method of an online teaching system according to Embodiment 3 of the present invention;

5 is a schematic structural diagram of a task distribution apparatus of an online teaching system according to Embodiment 4 of the present invention;

6 is a schematic structural diagram of a task distribution apparatus of an online teaching system according to Embodiment 5 of the present invention;

7 is a schematic structural diagram of a task distribution apparatus of an online teaching system according to Embodiment 6 of the present invention;

FIG. 8 is a schematic structural diagram of a teaching server according to Embodiment 7 of the present invention.

Embodiments of the invention

The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

The specific implementation of the present invention is described in detail below in conjunction with specific embodiments:

Embodiment 1:

FIG. 1 is a flowchart showing an implementation process of a task distribution method of an online teaching system according to Embodiment 1 of the present invention. For convenience of description, only parts related to the embodiment of the present invention are shown, which are as follows:

In step S101, when a job assignment request from the learning user is received, a pre-set learning task flow is acquired.

The embodiment of the present invention is applicable to an online teaching system, and is specifically applicable to a teaching server in an online teaching system. The online teaching system may include a user terminal, a teacher terminal, and a teaching server. The user terminal is used by a student user to acquire a learning task and Auxiliary student users complete the learning task, the teacher terminal is used by the teacher, is used for the arrangement of the teacher learning task and assists in processing the learning completion result submitted by the student, and the teaching server is used for the learning task auxiliary management, for example, storing the learning task completion information submitted by the student, The homework provided by the teacher. The learning task flow is composed of a plurality of associated learning tasks, wherein one or more learning tasks may be pre-tasks of another task, and one or more learning tasks must be completed before the latter task can be executed, as shown in FIG. 2 . As shown, the learning task flow includes learning tasks A, B, C, D, E, F, and G, wherein the learning tasks A are associated with B, the learning tasks B, C are associated with D, and the learning tasks D are associated with E and F, Learning tasks E, F and G are associated.

In the embodiment of the present invention, the learning task may be various jobs arranged by the teacher. When generating the task flow, first receiving a task placement request input by the teacher user through the teacher terminal, the task placement request includes a learning task to be arranged, and then dividing the placement learning task, for example, according to the order of each step in the learning task to be arranged And the association is divided, so that the learning task flow composed of the associated learning tasks is obtained, and the automatic generation or setting of the learning task flow is realized. During the setting process of the learning task flow, the teacher terminal may provide a graphical user interface to the teacher, receive the number of learning tasks in the task flow input by the teacher, and corresponding learning tasks, and then establish an association relationship between the learning tasks, for example, , parallel, serial and other relationships.

In step S102, according to the task completion history record of the learning user, the learning task assigned to the learning user is acquired from the learning task stream, and the acquired learning task is distributed to the learning user.

In the embodiment of the present invention, in order to improve the learning efficiency of the learning user and improve the pertinence of the learning task, firstly, the history record of the learning user is completed, and the learning task for the learning user is obtained from the learning task flow, and then the acquired task is acquired. The learning task is distributed to the learning user, and the distributed learning task is output to the user through the user terminal, thereby realizing the automatic and differentiated allocation of the learning task in the online teaching system, and improving the usability of the learning task and the online teaching system.

Embodiment 2:

FIG. 3 is a flowchart showing an implementation process of a task distribution method of an online teaching system according to Embodiment 2 of the present invention. For convenience of description, only parts related to the embodiment of the present invention are shown, which are as follows:

In step S301, when a job assignment request from the learning user is received, a pre-set learning task flow is acquired.

The embodiment of the present invention is applicable to an online teaching system, and is specifically applicable to a teaching server in an online teaching system. The online teaching system may include a user terminal, a teacher terminal, and a teaching server. The user terminal is used by a student user to acquire a learning task and Auxiliary student users complete the learning task, the teacher terminal is used by the teacher, is used for the arrangement of the teacher learning task and assists in processing the learning completion result submitted by the student, and the teaching server is used for the learning task auxiliary management, for example, storing the learning task completion information submitted by the student, The homework provided by the teacher. The learning task flow is composed of a plurality of associated learning tasks, wherein one or more learning tasks may be pre-tasks of another task, and one or more of the preceding learning tasks must be completed before the latter task can be executed.

In the embodiment of the present invention, the learning task may be various jobs arranged by the teacher. When generating the task flow, first receiving a task placement request input by the teacher user through the teacher terminal, the task placement request includes a learning task to be arranged, and then dividing the placement learning task, for example, according to the order of each step in the learning task to be arranged And the association is divided, so that the learning task flow composed of the associated learning tasks is obtained, and the automatic generation and setting of the learning task flow is realized. During the setting process of the learning task flow, the teacher terminal may provide a graphical user interface to the teacher, receive the number of learning tasks in the task flow input by the teacher, and corresponding learning tasks, and then establish an association relationship between the learning tasks, for example, , parallel, serial and other relationships.

In step S302, the task completion history record of the learning user is acquired, and the user's wrong title is statistically learned from the task completion history record.

In the embodiment of the present invention, the learning completion record of each learning user is saved on the teaching server of the online teaching system, for example, the type of tasks involved in each learning task, and the number of jobs or questions completed under each task type, Do the wrong topic, do the wrong number of questions, do the right questions, do the correct number of questions, and the correct rate, error rate and other information. If each task is a topic, then directly calculate the completion of each task. When the user's wrong subject is counted from the task completion history, the user's wrong subject can be counted in the preset time period, for example, counting one month, two months, one quarter or one semester to learn the user's doing. Wrong topic.

In step S303, a clustering operation is performed on the wrong title, and the type of the task with the wrong title and the number of the wrong questions under each task type are obtained.

In the embodiment of the present invention, after obtaining the wrong title from the task completion history record, the clustering operation is performed on the wrong title, for example, the K-MEANS and the Clara algorithm are used to perform the clustering operation on the wrong title. The type of task that is doing the wrong question and the number of wrong questions for each task type. If the task type of the wrong title is recorded in each error record in the task completion history, the classification and quantity statistics can be directly performed according to the recorded task type, thereby reducing the classification time and shortening the response time of the task distribution.

In step S304, the corresponding learning task in the learning task flow of the task type corresponding to the maximum number of incorrect questions is obtained, and the obtained corresponding learning task is distributed to the learning user.

In the embodiment of the present invention, the learning user of a certain task type has the largest number of missed questions, indicating that the learning user does not grasp the knowledge points for the type of learning task, and the training needs to be strengthened. At this time, the corresponding learning task in the learning task flow is obtained by acquiring the task type corresponding to the maximum number of the wrong questions, and the obtained corresponding learning task is distributed to the learning user, and the distributed learning task is output to the user through the user terminal, thereby being in the online teaching system. Automate and differentiate the allocation of learning tasks and improve the availability of learning tasks and online teaching systems.

Embodiment 3:

FIG. 4 is a flowchart showing an implementation process of a task distribution method of an online teaching system according to Embodiment 3 of the present invention. For convenience of description, only parts related to the embodiment of the present invention are shown, which are as follows:

In step S401, when receiving a job assignment request from the learning user, a pre-set learning task flow is acquired.

In step S402, the task completion history of the learning user is acquired, and the completed learning task is counted from the task completion history.

In the embodiment of the present invention, the teaching server of the online teaching system stores a record of each learning user having completed the learning task, and the records record the types of tasks involved in the completed learning task, and each completed task is completed. The number of assignments or questions, the wrong topics, the number of wrong questions, the correct questions, the number of correct questions, and the scores or ratings of each completed learning task.

In step S403, the task types associated with the completed learning tasks are acquired, and the average score of the completed learning tasks under each task type is calculated.

In the embodiment of the present invention, preferably, when the task type to which each completed learning task belongs or is recorded is recorded in the task completion history, the task type associated with the completed learning task may be directly obtained according to the recorded task type. , in turn, calculates the average score of completed learning tasks for each task type, thereby reducing the response time for the entire task distribution. Preferably, when the task completion type does not record the task type to which each completed learning task belongs or is associated, after the completed learning task is obtained from the task completion history record, the clustering operation is performed on the completed learning task. For example, the K-MEANS and Clara algorithms are used to cluster the completed learning tasks, and the task types of the completed learning tasks are obtained, and then the average scores of the completed learning tasks under each task type are calculated.

In step S404, the corresponding learning task in the learning task flow of the task type corresponding to the lowest average score is obtained, and the obtained corresponding learning task is distributed to the learning user.

In the embodiment of the present invention, the learning user has the lowest average score of the completed learning task under a certain task type, which indicates that the learning user does not grasp the knowledge point for the type of learning task, and needs to strengthen the training. At this time, the corresponding learning task in the learning task flow is obtained from the task type corresponding to the lowest average score, and the obtained corresponding learning task is distributed to the learning user, and the distributed learning task is output to the user through the user terminal, thereby directly passing the task score. Automate and differentiate the learning tasks in the online teaching system to improve the usability of learning tasks and online teaching systems.

Embodiment 4:

FIG. 5 is a diagram showing the structure of a task distribution apparatus of an online teaching system according to Embodiment 4 of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown, including:

The task flow obtaining unit 51 is configured to: when receiving the job assignment request from the learning user, acquire a preset learning task flow, where the learning task flow is composed of a plurality of associated learning tasks;

The task distribution unit 52 is configured to complete the history record according to the task of the learning user, obtain the learning task assigned to the learning user from the learning task stream, and distribute the acquired learning task to the learning user.

In the embodiment of the present invention, each unit of the task distribution apparatus may be implemented by a corresponding hardware or software unit, and each unit may be an independent software and hardware unit, or may be integrated into one soft and hardware unit, and the present invention is not limited thereto. . For a specific implementation of each unit, reference may be made to the description of Embodiment 1, and details are not described herein again.

Embodiment 5:

FIG. 6 is a diagram showing the structure of a task distribution apparatus of an online teaching system according to Embodiment 5 of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown, including:

a request receiving unit 61, configured to receive a task arrangement request input by a teacher user, where the task arrangement request includes a learning task to be arranged;

The task dividing unit 62 is configured to divide the learning task to be arranged, and obtain a learning task flow composed of the associated learning task;

The task flow obtaining unit 63 is configured to: when receiving the job assignment request from the learning user, acquire a preset learning task flow, where the learning task flow is composed of a plurality of associated learning tasks;

The task distribution unit 64 is configured to complete the history record according to the task of the learning user, obtain the learning task assigned to the learning user from the learning task stream, and distribute the acquired learning task to the learning user.

In the embodiment of the present invention, the task distribution unit 64 includes:

The wrong title statistics unit 641 is configured to acquire a task completion history record of the learning user, and statistically learn the user's wrong title from the task completion history record;

The wrong title clustering unit 642 is configured to perform a clustering operation on the wrong title, obtain the task type of the wrong title, and the number of wrong questions in each task type;

The first task distribution sub-unit 643 is configured to obtain a corresponding learning task in the learning task flow of the task type corresponding to the maximum number of incorrect questions, and distribute the obtained corresponding learning task to the learning user.

In the embodiment of the present invention, each unit of the task distribution apparatus may be implemented by a corresponding hardware or software unit, and each unit may be an independent software and hardware unit, or may be integrated into one soft and hardware unit, and the present invention is not limited thereto. . For a specific implementation of each unit, reference may be made to the description of the second embodiment, and details are not described herein again.

Example 6:

FIG. 7 is a diagram showing the structure of a task distribution apparatus of an online teaching system according to Embodiment 6 of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown, including:

a request receiving unit 71, configured to receive a task arrangement request input by a teacher user, where the task arrangement request includes a learning task to be arranged;

The task dividing unit 72 is configured to divide the learning task to be arranged, and obtain a learning task flow composed of the associated learning task;

The task flow obtaining unit 73 is configured to: when receiving the job assignment request from the learning user, acquire a preset learning task flow, where the learning task flow is composed of a plurality of associated learning tasks;

The task distribution unit 74 is configured to complete the history record according to the task of the learning user, obtain the learning task assigned to the learning user from the learning task stream, and distribute the acquired learning task to the learning user.

In the embodiment of the present invention, the task distribution unit 74 includes:

The task statistics unit 741 is configured to acquire a task completion history record of the learning user, and collect the completed learning task from the task completion history record.

a score calculation unit 742, configured to acquire a task type associated with the completed learning task, and calculate an average score of the completed learning task under each task type;

The second task distribution sub-unit 743 is configured to obtain a corresponding learning task of the task type corresponding to the lowest average score in the learning task flow, and distribute the obtained corresponding learning task to the learning user.

In the embodiment of the present invention, each unit of the task distribution apparatus may be implemented by a corresponding hardware or software unit, and each unit may be an independent software and hardware unit, or may be integrated into one soft and hardware unit, and the present invention is not limited thereto. . For a specific implementation of each unit, reference may be made to the description of Embodiment 3, and details are not described herein again.

Example 7:

FIG. 8 shows the structure of a teaching server according to Embodiment 7 of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown.

The teaching server 8 of an embodiment of the present invention includes a processor 80, a memory 81, and a computer program 82 stored in the memory 81 and executable on the processor 80. When the processor 80 executes the computer program 82, the steps in the above embodiment of the learning reminding method are implemented, such as steps S101 to S102 shown in FIG. 1 and steps S301 to S104 shown in FIG. Alternatively, when the processor 80 executes the computer program 82, the functions of the units in the above-described respective device embodiments are realized, such as the functions of the units 51 to 52 shown in FIG. 5 and the units 61 to 64 shown in FIG.

When the processor 80 in the embodiment of the present invention executes the computer program 82, when receiving the job assignment request from the learning user, the preset learning task stream is acquired, and the learning task stream is composed of a plurality of associated learning tasks, according to the learning user. The task completion history records, obtains the learning task assigned to the learning user from the learning task flow, and distributes the acquired learning task to the learning user, thereby distributing the learning task to the learning user for the learning user task completion history record, and realizing the learning. The differential distribution of tasks increases the usability of online teaching systems.

For the implementation of the above-mentioned method for the implementation of the above-mentioned method, the description of the method is not described here.

Example 8:

In an embodiment of the present invention, there is provided a computer readable storage medium storing a computer program, the computer program being executed by a processor to implement the steps in the foregoing task distribution method embodiment, for example, Steps S101 to S102 shown in Fig. 1 and steps S301 to S104 shown in Fig. 3 . Alternatively, the computer program, when executed by the processor, implements the functions of the various units in the various apparatus embodiments described above, such as the functions of units 51 through 52 shown in FIG. 5 and units 61 through 64 shown in FIG.

When the computer program of the embodiment of the present invention is executed by the processor, when receiving the job assignment request from the learning user, acquiring a preset learning task flow, the learning task flow is composed of a plurality of associated learning tasks, according to the task of the learning user The history record is completed, the learning task assigned to the learning user is obtained from the learning task flow, and the acquired learning task is distributed to the learning user, so that the learning task is distributed to the learning user for the learning user task completion history record, and the learning task is realized. Differential distribution increases the usability of online teaching systems. When the computer program is executed by the processor, the steps in the foregoing method for implementing the task distribution method are specifically described in the foregoing method, and details are not described herein.

The computer readable storage medium of the embodiments of the present invention may include any entity or device capable of carrying computer program code, a recording medium such as a ROM/RAM, a magnetic disk, an optical disk, a flash memory, or the like.

The above is only the preferred embodiment of the present invention, and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection of the present invention. Within the scope.

Claims

A task distribution method for an online teaching system, characterized in that the method comprises the following steps:

Acquiring a preset learning task flow when receiving a job assignment request from a learning user, the learning task flow being composed of a plurality of associated learning tasks;

And obtaining, according to the task completion history record of the learning user, a learning task assigned to the learning user from the learning task flow, and distributing the acquired learning task to the learning user.
The method according to claim 1, wherein the learning task assigned to the learning user is obtained from the learning task flow according to the task completion history of the learning user, and the acquired learning task is distributed. The steps for the learning user include:

Obtaining a task completion history record of the learning user, and collecting, from the task completion history record, the learning user's wrong title;

Performing a clustering operation on the erroneous problem, obtaining the task type of the erroneous problem and the number of erroneous questions under each task type;

Acquiring a corresponding learning task of the task type corresponding to the number of the erroneous questions in the learning task stream, and distributing the obtained corresponding learning task to the learning user.
The method according to claim 1, wherein the learning task assigned to the learning user is obtained from the learning task flow according to the task completion history of the learning user, and the acquired learning task is distributed. The steps for the learning user include:

Obtaining a task completion history record of the learning user, and collecting the completed learning task from the task completion history record;

Obtaining a task type associated with the completed learning task, and calculating an average score of the completed learning task under each task type;

Acquiring a corresponding learning task of the task type corresponding to the lowest average score in the learning task flow, and distributing the acquired corresponding learning task to the learning user.
The method according to claim 1, wherein before the step of acquiring a preset learning task flow, the learning task flow consisting of a plurality of associated learning tasks, the method further comprises:

Receiving a task arrangement request input by a teacher user, where the task arrangement request includes a learning task to be arranged;

The learning task to be arranged is divided to obtain the learning task flow composed of the associated learning task.
A task distribution device for an online teaching system, characterized in that the device comprises:

a task flow obtaining unit, configured to: when receiving a job assignment request from the learning user, acquire a preset learning task flow, where the learning task flow is composed of a plurality of associated learning tasks;

a task distribution unit, configured to complete a history record according to the task of the learning user, obtain a learning task assigned to the learning user from the learning task stream, and distribute the acquired learning task to the learning user.
The apparatus according to claim 5, wherein said task distribution unit comprises:

a erroneous question statistic unit, configured to acquire a task completion history record of the learning user, and collect statistics of the erroneous problem of the learning user from the task completion history record;

a wrong title clustering unit, configured to perform a clustering operation on the erroneous topic, obtain a task type of the erroneous topic, and a number of erroneous questions under each task type;

The first task distribution sub-unit is configured to obtain a corresponding learning task of the task type corresponding to the maximum number of the erroneous questions in the learning task flow, and distribute the acquired corresponding learning task to the learning user.
The apparatus according to claim 5, wherein said task distribution unit comprises:

a task statistics unit, configured to acquire a task completion history record of the learning user, and collect the completed learning task from the task completion history record;

a score calculation unit, configured to acquire a task type associated with the completed learning task, and calculate an average score of the completed learning task under each task type;

And a second task distribution sub-unit, configured to obtain a corresponding learning task of the task type corresponding to the lowest average score in the learning task flow, and distribute the acquired corresponding learning task to the learning user.
The device of claim 5, wherein the device further comprises:

a request receiving unit, configured to receive a task arrangement request input by a teacher user, where the task arrangement request includes a learning task to be arranged;

a task division unit is configured to divide the learning task to be arranged, and obtain the learning task flow composed of the associated learning task.
A teaching server comprising a memory, a processor, and a computer program stored in the memory and operable on the processor, wherein the processor executes the computer program as claimed in claim 1 4 The steps of any of the methods described.
A computer readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the method of any one of claims 1 to 4.