CN108846492B - Dynamic distribution method of resources in class time, client and server - Google Patents

Dynamic distribution method of resources in class time, client and server Download PDF

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CN108846492B
CN108846492B CN201810528421.XA CN201810528421A CN108846492B CN 108846492 B CN108846492 B CN 108846492B CN 201810528421 A CN201810528421 A CN 201810528421A CN 108846492 B CN108846492 B CN 108846492B
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inventory
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CN108846492A (en
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田文琦
冯雅超
凌哲
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Beijing Dami Technology Co Ltd
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    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/20—Education
    • G06Q50/205—Education administration or guidance

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Abstract

The invention discloses a method for dynamically allocating resources in class time, a client and a server, wherein the method for dynamically allocating resources in class time comprises the following steps: the first client responds to the login of a user, connects with a server and reserves a first course, wherein the first reserved course is from a dynamic time stock preparation proportion established by the server according to historical data of the first course and a dynamic time stock established by actual teacher time resources; the first client connects to an online classroom of the server in response to a second trigger action of the user who has subscribed for the first class to cause the server to give lessons from the dynamic timekeeping inventory allocation teacher. Aiming at the phenomenon that the attendance rate of the existing reservation and listening trial lessons is low so as to cause the class resource waste of teachers, the invention establishes the class resource inventory capable of being dynamically allocated according to the historical data, realizes the balance between the number of users who actually attend lessons and the number of teachers, not only can reduce the waste of class resource, but also can improve the enthusiasm of the teachers in teaching.

Description

Dynamic distribution method of resources in class time, client and server
Technical Field
The invention relates to the field of online education, in particular to a method, a client and a server for dynamically allocating resources in class.
Background
In recent years, with the rise of the online education industry, more and more users reserve online lecture trying, but in the actual teaching service, users cannot attend a lecture on time due to an emergency or the like, and are absent, so that time of a teacher giving a lecture is wasted in some cases. The learning experience for the user and the teaching cost for the teacher are both great injuries and wastes.
Therefore, a method for dynamically allocating resources in class time is needed to solve the above problems.
Disclosure of Invention
In order to solve at least one of the above problems, a first aspect of the present invention provides a method for dynamically allocating resources in class, including:
the first client-side responds to the login of a user to connect with a server and responds to a first trigger action of the user to reserve a first course, wherein the first reserved course is from a dynamic time stock preparation ratio which is set by the server according to historical data of the first course and a dynamic time stock which is established by actual teacher time resources;
the first client connects to an online classroom of the server in response to a second trigger action of the user who has subscribed for the first class to cause the server to give lessons from the dynamic timekeeping inventory allocation teacher.
Further, the first client changes the booked first course in response to a third trigger action of the user who has booked the first course, so that the server modifies the dynamic time-of-class inventory of the booked first course and re-books the first booked course from the corresponding dynamic time-of-class inventory according to the changed time.
Further, the first client responds to a second trigger action of the user who has subscribed the first course within a first time before the first subscribed course is started and a second time after the first subscribed course is started.
Further, the dynamic class hour inventory includes actual class hours and overtime class hours, the first client responds to login of the user to connect with the server and reserves a second course, and the second reserved course is from the actual class hours in the dynamic class hour inventory.
The second aspect of the present invention provides a method for dynamically allocating resources in class time, including:
the second client responds to the log-in of a teacher, connects with the server and sends actual class time resources, so that the server makes a dynamic class time inventory preparation proportion according to historical data of a first class, and establishes a dynamic class time inventory according to the dynamic class time inventory preparation proportion and the actual class time resources to reserve the first class for a user;
the second client connects to the online classroom of the server in response to a fourth trigger action of the teacher according to the allocation of the server, so that the user using the first client starts to accept the teaching of the teacher.
The third aspect of the present invention provides a method for dynamically allocating resources in class, comprising:
the server receives actual class time resources from the second client, formulates a dynamic class time inventory preparation proportion according to historical data of a first class, and establishes a dynamic class time inventory according to the dynamic class time inventory preparation proportion and the actual class time resources;
the server appoints a first course according to the dynamic time base in response to a first trigger action of a user using a first client;
the server establishes an online classroom in response to a second trigger action by the user using the first client, and allocates and notifies teachers using the second client of teaching from the dynamic time inventory.
Further, the dynamic class time inventory preparation proportion further comprises time weighting factors, different time periods correspond to different weighting factors, and the dynamic class time inventory preparation proportions in different time periods are different.
Further, the dynamic time stock preparation proportion further comprises teacher weight factors, different teacher types correspond to different weight factors, and the dynamic time stock preparation proportions of different teacher types are different.
Further, the dynamic class time inventory comprises actual class time and super-contracted class time, and the server distributes the actual class time and the super-contracted class time according to the dynamic class time inventory preparation proportion.
Further, the dynamic class time inventory further comprises an inventory early warning mechanism, and when the attendance rate of the first appointment course is greater than the ratio of the actual class time to the dynamic class time in the dynamic class time inventory, the server sends out an inventory alarm.
The fourth aspect of the present invention provides a client, comprising a login module, an appointment module and a lesson taking module, wherein
A login module for connecting to a server in response to a login of a user;
the reservation module is used for reserving a first course from a dynamic time stock provided by the server in response to a first trigger action of a user, wherein the dynamic time stock is established by a dynamic time stock preparation ratio and actual teacher time resources which are set by the server according to historical data of the first course;
and the class taking module is connected to the online classroom of the server in response to a second trigger action of the user who has subscribed to the first class, so that the server gives classes from the dynamic class time inventory allocation teacher.
Further, the client further comprises a change module, which changes the booked first course in response to a third trigger action of the user who has booked the first course, so that the server modifies the dynamic time-of-class inventory of the booked first course and re-books the first booked course from the corresponding dynamic time-of-class inventory according to the changed time.
The fifth aspect of the invention provides a client, comprising a login module and a teaching module, wherein
A login module for connecting the server in response to the teacher's login;
and the teaching module responds to a fourth trigger action of the teacher and is connected to the online classroom of the server according to the distribution of the server, so that the user using the first client starts to accept the teaching of the teacher.
A sixth aspect of the present invention provides a server, comprising a receiving module, a controller module, a reservation module and a distribution module, wherein
A receiving module for receiving actual time resources from a teacher using a second client;
the controller module is used for making a dynamic class time inventory preparation ratio according to historical data of a first class and establishing a dynamic class time inventory according to the dynamic class time inventory preparation ratio and the actual class time resources;
a reservation module to reserve a first course according to the dynamic time course inventory in response to a first trigger action of a user using the first client;
and the distribution module is used for establishing an online classroom in response to a second trigger action of the user using the first client and distributing a teaching teacher from the dynamic time inventory so that the teacher and the user can carry out online teaching.
Further, the server further comprises an alert module for issuing an inventory alert when the attendance rate of the first appointment course is greater than the ratio of actual time to dynamic time in the dynamic time inventory.
A seventh aspect of the invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the method of the first aspect.
An eighth aspect of the invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method according to the second aspect.
A ninth aspect of the invention provides a computer apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method according to the third aspect when executing the program.
The invention has the following beneficial effects:
aiming at the condition of low attendance rate caused by the existing reservation mode of trial listening, the invention establishes the class time resource inventory capable of being dynamically allocated according to the historical data, realizes the balance of the number of users actually in class and the number of teachers, makes up the shortage of reservation of the past trial listening class, increases the utilization rate of class time resources and is beneficial to improving the teaching enthusiasm of the teachers.
Drawings
The following describes embodiments of the present invention in further detail with reference to the accompanying drawings.
FIG. 1 is a diagram illustrating a scenario architecture for dynamic allocation of resources during class according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method for dynamically allocating resources during class according to an embodiment of the present invention;
FIG. 3 is a flow chart of a method for dynamically allocating resources during class according to an embodiment of the present invention;
FIG. 4 is a block diagram of the client according to an embodiment of the present invention;
fig. 5 is a block diagram showing the structure of the client according to another embodiment of the present invention;
fig. 6 is a block diagram showing the structure of the client according to another embodiment of the present invention;
FIG. 7 is a block diagram of a server according to another embodiment of the present invention;
FIG. 8 is a block diagram of a server according to another embodiment of the present invention;
fig. 9 is a schematic structural diagram of a computer device according to another embodiment of the present invention.
Detailed Description
In order to more clearly illustrate the invention, the invention is further described below with reference to preferred embodiments and the accompanying drawings. Similar parts in the figures are denoted by the same reference numerals. It is to be understood by persons skilled in the art that the following detailed description is illustrative and not restrictive, and is not to be taken as limiting the scope of the invention.
In recent years, with the development of remote real-time communication, the online education industry has gradually emerged. Since online education has unlimited places to attend class and class time that can be flexibly arranged is deeply favored by users (students) and parents of students, more and more users choose to accept online education. Generally, a user or a parent of the user can reserve a free trial listening course to experience the content of the course and the condition of a teaching teacher and then decide whether to purchase the course, so that the trial listening course is important for an online education institution, the teaching teacher and the user. However, the user may be absent from the trial lesson for various reasons, and the attendance rate of the trial lesson is at a low level, so that the resources of the teaching teacher during the lesson are wasted. In the past, learning experience of users and enthusiasm of teachers in class are greatly damaged, and the cost is increased due to waste of class resources of online education institutions, so that a dynamic class resource allocation method needs to be formulated to solve the problems.
Fig. 1 shows a scenario architecture for dynamically allocating resources during class according to the present invention, which includes a server 100, a first client 200 and a second client 300. The client can be application software on a computer, or an APP on a smart phone or a PAD.
As shown in fig. 2, an embodiment of the present invention provides a method for dynamically allocating resources in class time, including: the first client-side responds to the login of a user to connect with a server and responds to a first trigger action of the user to reserve a first course, wherein the first reserved course is from a dynamic time stock preparation ratio which is set by the server according to historical data of the first course and a dynamic time stock which is established by actual teacher time resources; the first client connects to an online classroom of the server in response to a second trigger action of the user who has subscribed for the first class to cause the server to give lessons from the dynamic timekeeping inventory allocation teacher. In this embodiment, the first course is a trial listening course, a dynamic time stock preparation ratio is established according to actual time resources of a teacher and historical attendance rate of the trial listening course to establish a dynamic time stock, the dynamic time stock is used to make a reservation of the course, and when a user who makes a reservation of the trial listening course gets a lesson, the server distributes the teacher from the dynamic time stock to give lessons, so that the time resources of the teacher are fully utilized, and the number of users who participate in the trial listening course and the number of teachers who make a lesson are balanced.
As shown in fig. 3, in a specific example, the method is implemented by the server 100, the first client 200, and the second client 300, and includes the following specific steps:
s1, the second client 300 responds to the login of the teacher to connect with the server and send actual time resources.
The second client 300 is a teacher client, and teachers log in the connection server by using the second client 300, and the establishment of the dynamic time inventory is based on real time resources which can be provided by the teachers, so that each teacher is required to periodically submit actual time resources in a future time period every day. For example, each teacher is required to submit the actual number of lectures available 15 days later, 9 am each day.
And S2, the server 100 formulates a dynamic class hour inventory preparation proportion according to the historical data of the first class.
The server 100 summarizes the attendance rate of the user participating in the trial listening from the historical attendance data of the trial listening, and specifies the dynamic class hour inventory preparation ratio according to the attendance rate. For example, according to the historical data, the attendance rate of the users for booking the trial listening class is about 50%, namely half of the users are absent for the trial listening class, and the dynamic class time inventory preparation ratio is set to be 1:2 or 1: 1.9.
And S3, the server 100 establishes a dynamic class hour inventory according to the dynamic class hour inventory preparation proportion and the actual class hour resources.
That is, server 100 builds a dynamic time inventory using the actual time resources that the teacher is able to provide and the dynamic time inventory preparation ratios that are summarized from the historical data. For example, the class hour resources which can be provided by all teachers 15 days later are 10000 class hours, and the dynamic class hour inventory preparation ratio is set to be 1:2, the established dynamic class hour inventory is 20000 class hours, namely the actual class hour resources are multiplied by the dynamic class hour inventory preparation ratio, wherein 10000 is the actual class hour, and 10000 is an overtime class hour; for another example, when the actual time resources are not changed, the dynamic time stock preparation ratio is set to 1:1.5, and the established dynamic time stock is 15000 times, wherein 10000 is actual time and 5000 is overtime time.
And S4, the first client 200 responds to the login of the user to connect with the server and responds to the first trigger action of the user to reserve a first course, wherein the first reserved course is from a dynamic time inventory preparation proportion set by the server according to the historical data of the first course and a dynamic time inventory established by actual teacher time resources.
The first client 200 is a user client, and the user logs in the connection server 100 by using the first client 200, when the user (student) or the parent of the student wants to reserve the audition class, clicks the reserved audition class to select an optional class from the multiple classes presented by the server 100, and when the class becomes unselected and receives the audition class reservation notification sent by the server, the user indicates that the audition class has been reserved successfully.
In a preferred embodiment, the dynamic time stock preparation ratio formulated by the server 100 further includes time weighting factors, different time periods correspond to different weighting factors, and the dynamic time stock preparation ratio in different time periods is different. The dynamic class time inventory preparation proportion is further refined according to time periods, for example, Monday to Friday are normal working days, the time arrangement of users is relatively clear, and the attendance rate of the audition class corresponding to 6 o 'clock to 9 o' clock in the afternoon is relatively high; the saturday is a holiday, the time arrangement of the user is flexible, other things can be arranged temporarily, and the attendance rate of the class trying from 9 am to 5 pm is low; therefore, aiming at the time period with obvious characteristics, the dynamic class time inventory preparation proportion is correspondingly adjusted instead of the fixed proportion of 1:2, so that the utilization rate of the teacher class time resources is further improved.
In another preferred embodiment, the dynamic time stock preparation scale established by the server 100 further comprises teacher weighting factors, different teacher types correspond to different weighting factors, and the dynamic time stock preparation scale is different for different teacher types. Namely, the dynamic class time inventory preparation proportion is further refined according to the teacher type: for example, a teacher who is good at enlightenment of children aims at a child, and the corresponding attendance rate is relatively low due to no examination pressure; the teacher who excels in middle school entrance examination or college entrance examination aims at the fact that the user is a school student, and due to the existence of the pressure to be tested, the corresponding attendance rate is relatively high; therefore, aiming at the teaching class with obvious characteristics, the dynamic class time stock preparation proportion can be correspondingly adjusted instead of the fixed proportion of 1:2, thereby further improving the utilization rate of the teacher resources in class.
In another preferred embodiment, the server 100 allocates the actual class time and the contracted class time in the dynamic class time inventory preparation ratio when the first class is reserved for the user using the dynamic class time inventory. For example, if the dynamic class time inventory preparation ratio is set to 1:2, the actual class time allocated by the first reserved user and the overtaxing class time allocated by the second reserved user; for another example, if the dynamic class time inventory preparation ratio is set to 1:1.5, the actual class time distributed by the first and second subscribed users and the overtime class time distributed by the third subscribed user; the allocation can ensure reasonable allocation of actual class hours and overtaxing class hours, and avoid allocation chaos in an appointment link from influencing the utilization rate of teacher class time resources.
In another preferred embodiment, the first client 200 changes the booked first lesson in response to a third trigger action of the user who has booked the first lesson, so that the server 100 modifies the dynamic timebase of the booked first lesson and re-booked the first booked lesson from the corresponding dynamic timebase according to the changed time. For the requirement that some users who have subscribed to trial lessons want to change the appointment time, the subscribed lessons can be changed through the first client 200, for example, the first subscribed lesson is 6 pm of the next wednesday, the user can log in the connection server 100 through the first client 200, click "change the subscribed lesson" to cancel the subscribed lesson of the 6 pm of the next wednesday, and view and select an alternative subscribed lesson time, for example, the lesson of the next monday or the next friday, according to the time that the user wants to re-subscribe. And further, for the lesson which is changed to be reserved again, the possibility of attendance of the user is increased, and the dynamic lesson time stock preparation ratio can also be adjusted according to the reserved lesson again, and a person skilled in the art should design and adjust the dynamic lesson time stock preparation ratio according to actual requirements to further improve the utilization rate of teacher lesson time resources.
In another preferred embodiment, the dynamic timebase comprises actual timebase and appointment timebase, and the first client connects to the server in response to the user logging in and appoints a second lesson, the second appointment lesson being from the actual timebase in the dynamic timebase. In this embodiment, the second course is a paid course, that is, the server 100 also provides a reservation of the paid course, and since the paid course determines a teacher giving a lesson at the time of the reservation and deducts fees regardless of absence of the user, the attendance rate of the user is relatively high. When the user directly uses the actual class in the dynamic class time inventory when using the first client 200 to reserve the paid class, the dynamic class time inventory preparation ratio can not be used for calculation at this time, but when reserving a paid class, the corresponding overtaxed class is subtracted according to the dynamic class time inventory preparation ratio. For example, if the dynamic class time inventory preparation ratio is set to 1:2, one paying class is reserved and one overtaxing class time is reduced; for example, if the dynamic class time inventory preparation ratio is set to 1:1.5, 0.5 overtime classes are subtracted while a paid class is reserved, and 1 class time is counted when the cumulative count is less than 1 complete class time.
Further, when the user of the paid course is absent, corresponding actual class hours and appointment-exceeding class hours can be added to the dynamic class hour inventory according to the absent time period, so that the server 100 can dynamically allocate the corresponding actual class hours and appointment-exceeding class hours, and the full utilization of the teacher class hour resources is realized.
Further, when the teachers of the paid courses are absent, the judgment is carried out according to the time from the class, if the time from the class is less than 2 hours, the server 100 directly distributes the teaching teachers from the dynamic class time inventory, if the time from the class is more than 2 hours, the server 100 issues a class-robbing task, teachers without reserved paid courses can rush the classes, and the corresponding dynamic class time inventory reduces the actual class time and the overtime of the teachers.
S5. the first client 200 sends a lesson-taking request to the server in response to the second trigger action of the user who has subscribed to the first lesson.
S6, the server 100 establishes an online classroom and distributes teaching teachers from the dynamic class time inventory.
S7. the first client 200 connects to the online classroom established by the server 100, and the user starts a class using the first client 200.
That is, the first client 200 connects to the online classroom of the server 100 in response to the second trigger action of the user who has subscribed to listen to a class, so that the server 100 gives a class from the dynamic time inventory allocation teacher. When a user who has subscribed to listen to a class logs in the first client 200 and clicks the "class on" button, the first client 200 sends a class on request to the server 100, and the server 100 establishes an online classroom in response to the class on request and distributes a teacher giving lessons from the dynamic class time inventory. The first client 200 enters the online classroom in response to the link of the online classroom transmitted by the server 100, and the user starts a class using the first client 200.
In another preferred embodiment, the first client 200 responds to the second trigger action of the user who has subscribed to the first lesson within a first time before the lesson is opened and within a second time after the lesson is opened. That is, the first client 200 responds to the user clicking the "class in" button only for a period of time before the trial listening session starts and a period of time after the opening session. For example, allowing the user to click the "class" button during the first half hour of class and 5 minutes after class, other times do not support this functionality. This can avoid misallocation of the server 100 to the dynamic class hour inventory, and can also reduce the burden of the server 100 on the memory and bandwidth.
In another preferred embodiment, the dynamic session inventory further comprises an inventory pre-alert mechanism, and the server 100 issues an inventory alert when the attendance rate of the first appointment class is greater than the ratio of actual session to dynamic session in the dynamic session inventory. Although the dynamic class time inventory is established according to the historical data of the trial listening class and is further improved according to the teacher type and the class time period, the situation that the class is over-contracted still exists, in order to avoid the situation, the dynamic class time inventory is also provided with an inventory early warning mechanism, and when the user who attends the trial listening class in a certain time period is more than the expected attendance rate, the server 100 alarms the inventory. For example, the dynamic class time inventory preparation ratio is set to 1:2 in a certain time period, and when the attendance rate of the user who actually attends the class exceeds 50%, that is, the attendance rate of the trial listening class is greater than the ratio of the actual class time to the dynamic class time in the dynamic class time inventory, the server 100 issues an inventory alarm so that the class manager can allocate teacher resources in time to meet the needs of the user who actually attends the class.
S8. the second client 300 connects to the online classroom of the server in response to the fourth trigger action of the teacher according to the allocation of the server, so that the user using the first client starts to accept the teaching of the teacher.
The teacher uses the second client 300 to connect to the server 100, and clicks the "go to class" button to enter the online classroom established by the server 100 to give lessons. Therefore, the dynamic allocation of the resources of the teacher in actual class is realized.
Correspondingly, as shown in fig. 4, an embodiment of the present invention provides a client, including a login module, a reservation module, and a lesson taking module, wherein the login module connects to a server in response to the login of a user; the reservation module is used for reserving a first course from a dynamic time stock provided by the server in response to a first trigger action of a user, wherein the dynamic time stock is established by a dynamic time stock preparation ratio and actual teacher time resources which are set by the server according to historical data of the first course; and the class taking module is connected to the online classroom of the server in response to a second trigger action of the user who has subscribed to the first class, so that the server gives classes from the dynamic class time inventory allocation teacher.
In a preferred embodiment, as shown in fig. 5, the client further comprises a change module, responsive to a third trigger action of the user who has subscribed to the first lesson, for changing the subscribed first lesson, so as to enable the server to modify the dynamic time-of-class inventory of the subscribed first lesson and re-subscribe the first subscribed lesson from the corresponding dynamic time-of-class inventory according to the changed time.
Correspondingly, as shown in fig. 6, an embodiment of the present invention provides a client, including a login module and a teaching module, where the login module connects to a server in response to the login of a teacher; and the teaching module responds to a fourth trigger action of the teacher and is connected to the online classroom of the server according to the distribution of the server, so that the user using the first client starts to accept the teaching of the teacher.
Correspondingly, as shown in fig. 7, an embodiment of the present invention provides a server, including a receiving module, a controller module, an appointment module and an allocation module, wherein the receiving module is configured to receive actual time resources from a teacher using a second client; the controller module is used for making a dynamic class time inventory preparation ratio according to historical data of a first class and establishing a dynamic class time inventory according to the dynamic class time inventory preparation ratio and the actual class time resources; a reservation module to reserve a first course according to the dynamic time course inventory in response to a first trigger action of a user using the first client; and the distribution module is used for establishing an online classroom in response to a second trigger action of the user using the first client and distributing a teaching teacher from the dynamic time inventory so that the teacher and the user can carry out online teaching.
In a preferred embodiment, as shown in FIG. 8, the server further comprises an alert module for issuing an inventory alert when the attendance rate of the first appointment course is greater than the ratio of actual class time to dynamic class time in the dynamic class time inventory.
Another embodiment of the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements: the first client-side responds to the login of a user to connect with a server and responds to a first trigger action of the user to reserve a first course, wherein the first reserved course is from a dynamic time stock preparation ratio which is set by the server according to historical data of the first course and a dynamic time stock which is established by actual teacher time resources; the first client connects to an online classroom of the server in response to a second trigger action of the user who has subscribed for the first class to cause the server to give lessons from the dynamic timekeeping inventory allocation teacher.
Another embodiment of the present invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements: the second client responds to the log-in of a teacher, connects with the server and sends actual class time resources, so that the server makes a dynamic class time inventory preparation proportion according to historical data of a first class, and establishes a dynamic class time inventory according to the dynamic class time inventory preparation proportion and the actual class time resources to reserve the first class for a user; the second client connects to the online classroom of the server in response to a fourth trigger action of the teacher according to the allocation of the server, so that the user using the first client starts to accept the teaching of the teacher.
In practice, the computer-readable storage medium may take any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. 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 (a non-exhaustive list) of the computer readable storage medium would include the following: 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 this real-time example, 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.
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 any of a variety of 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, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
As shown in fig. 9, another embodiment of the present invention provides a schematic structural diagram of a computer device. The computer device 12 shown in fig. 9 is only an example and should not bring any limitations to the function and scope of use of the embodiments of the present invention.
As shown in FIG. 9, computer device 12 is in the form of a general purpose computing device. The components of computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Computer device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. Computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 9, and commonly referred to as a "hard drive"). Although not shown in FIG. 9, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
Computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with computer device 12, and/or with any devices (e.g., network card, modem, etc.) that enable computer device 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 22. Also, computer device 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet) via network adapter 20. As shown in FIG. 9, the network adapter 20 communicates with the other modules of the computer device 12 via the bus 18. It should be appreciated that although not shown in FIG. 9, other hardware and/or software modules may be used in conjunction with computer device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
The processor unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, for example, implementing a method for dynamically allocating resources during class provided by the embodiment of the present invention.
Aiming at the condition of low attendance rate caused by the existing reservation mode of trial listening, the invention establishes the class time resource inventory capable of being dynamically allocated according to the historical data, realizes the balance of the number of users actually in class and the number of teachers, makes up the shortage of reservation of the past trial listening class, increases the utilization rate of class time resources and is beneficial to improving the teaching enthusiasm of the teachers.
It should be understood that the above-mentioned embodiments of the present invention are only examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention, and it will be obvious to those skilled in the art that other variations or modifications may be made on the basis of the above description, and all embodiments may not be exhaustive, and all obvious variations or modifications may be included within the scope of the present invention.

Claims (17)

1. A method for dynamically allocating resources in class time is characterized by comprising the following steps:
the first client-side responds to the login of a user to connect with the server and responds to a first trigger action of the user to reserve a first course, wherein the first reserved course is from a dynamic time stock preparation ratio which is set by the server according to historical data of the first course and a dynamic time stock which is established by actual teacher time resources; the dynamic class time inventory preparation proportion also comprises time weight factors, different time periods correspond to different weight factors, and the dynamic class time inventory preparation proportions in different time periods are different;
the first client connects to an online classroom of the server in response to a second trigger action of the user who has subscribed for the first class to cause the server to give lessons from the dynamic timekeeping inventory allocation teacher.
2. The dynamic assignment method as claimed in claim 1, wherein the first client changes the booked first lesson in response to a third trigger action of the user who has booked the first lesson, so that the server modifies the dynamic timebase of the booked first lesson and re-booked the first booked lesson from the corresponding dynamic timebase according to the changed time.
3. The dynamic assignment method of claim 1 or 2, wherein the first client responds to a second trigger action of the user who has subscribed to the first lesson within a first time before the first subscribed lesson is started and within a second time after the first subscribed lesson is started.
4. The dynamic allocation method of claim 1, wherein the dynamic time inventory includes actual time and appointment time, and the first client connects to the server in response to the user logging in and appoints a second lesson, the second appointment lesson being from the actual time in the dynamic time inventory.
5. A method for dynamically allocating resources in class time is characterized by comprising the following steps:
the second client responds to the log-in of a teacher, connects with the server and sends actual class time resources, so that the server makes a dynamic class time inventory preparation proportion according to historical data of a first class, and establishes a dynamic class time inventory according to the dynamic class time inventory preparation proportion and the actual class time resources to reserve the first class for a user; the dynamic class time inventory preparation proportion also comprises time weight factors, different time periods correspond to different weight factors, and the dynamic class time inventory preparation proportions in different time periods are different;
the second client connects to the online classroom of the server in response to a fourth trigger action of the teacher according to the allocation of the server, so that the user using the first client starts to accept the teaching of the teacher.
6. A method for dynamically allocating resources in class time is characterized by comprising the following steps:
the server receives actual class time resources from the second client, formulates a dynamic class time inventory preparation proportion according to historical data of a first class, and establishes a dynamic class time inventory according to the dynamic class time inventory preparation proportion and the actual class time resources; the dynamic class time inventory preparation proportion also comprises time weight factors, different time periods correspond to different weight factors, and the dynamic class time inventory preparation proportions in different time periods are different;
the server appoints a first course according to the dynamic time-of-class inventory in response to a first trigger action of a user using a first client;
the server establishes an online classroom in response to a second trigger action by the user using the first client, and allocates and notifies teachers using the second client of teaching from the dynamic time inventory.
7. The dynamic allocation method of claim 6, wherein said dynamic session inventory preparation ratios further comprise teacher weighting factors, wherein different teacher types correspond to different weighting factors, and wherein said dynamic session inventory preparation ratios are different for different teacher types.
8. The dynamic allocation method according to claim 7, wherein the dynamic time inventory includes actual time and super-contract time, and the server allocates the actual time and the super-contract time according to the dynamic time inventory preparation ratio.
9. The dynamic allocation method of claim 8, wherein the dynamic session inventory further comprises an inventory pre-warning mechanism, and the server issues an inventory warning when the attendance rate of a first appointment class is greater than the ratio of actual class time to dynamic class time in the dynamic session inventory.
10. The client is characterized by comprising a login module, an appointment module and a lesson taking module, wherein
A login module for connecting to a server in response to a login of a user;
the reservation module is used for reserving a first course from a dynamic time stock provided by the server in response to a first trigger action of a user, wherein the dynamic time stock is established by a dynamic time stock preparation ratio and actual teacher time resources which are set by the server according to historical data of the first course; the dynamic class time inventory preparation proportion also comprises time weight factors, different time periods correspond to different weight factors, and the dynamic class time inventory preparation proportions in different time periods are different;
and the class taking module is connected to the online classroom of the server in response to a second trigger action of the user who has subscribed to the first class, so that the server gives classes from the dynamic class time inventory allocation teacher.
11. The client of claim 10, further comprising a change module that changes the booked first lesson in response to a third trigger action by the user who booked the first lesson to cause the server to modify the dynamic time-of-class inventory of the booked first lesson and re-book the first booked lesson from the corresponding dynamic time-of-class inventory based on the changed time.
12. The client is characterized by comprising a login module and a teaching module, wherein
A login module for connecting the server in response to the teacher's login;
and the teaching module responds to a fourth trigger action of the teacher and is connected to the online classroom of the server according to the distribution of the server, so that the user using the first client starts to accept the teaching of the teacher.
13. A server, comprising a receiving module, a controller module, a reservation module and a distribution module, wherein
A receiving module for receiving actual time resources from a teacher using a second client;
the controller module is used for making a dynamic class time inventory preparation ratio according to historical data of a first class and establishing a dynamic class time inventory according to the dynamic class time inventory preparation ratio and the actual class time resources; the dynamic class time inventory preparation proportion also comprises time weight factors, different time periods correspond to different weight factors, and the dynamic class time inventory preparation proportions in different time periods are different;
the reservation module is used for reserving a first course according to the dynamic time stock in response to a first trigger action of a user using a first client;
and the distribution module is used for establishing an online classroom in response to a second trigger action of the user using the first client and distributing a teaching teacher from the dynamic time inventory so that the teacher and the user can carry out online teaching.
14. The server of claim 13, further comprising an alert module for issuing an inventory alert when the attendance rate for a first appointment course is greater than the ratio of actual time to dynamic time in the dynamic time inventory.
15. A computer-readable storage 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 1-4.
16. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method of claim 5.
17. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 6-9 when executing the program.
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