CN108665171B - Method and system for automatically scheduling and pushing online courses - Google Patents
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Abstract
The application discloses a method for pushing online courses in an automatic scheduling mode, which comprises the following steps: obtaining teaching history time information of a teaching teacher, and teaching content information and teaching duration information of online teaching in each time period; the client receives the learning historical time information of the online course in the set time and receives the learning content information and the learning duration information of the online course in each time period; comparing the learning historical time information with the teaching historical time information and calculating the similarity of the learning historical time information and the teaching historical time information; the learning content information of the potential client is compared with the teaching content information of the teaching teacher, the pre-teaching time, the pre-teaching content information and the pre-teaching duration information of the teaching teacher in the next stage are received, and the pre-teaching time, the pre-teaching content information and the pre-teaching duration information are sent to the push client. The invention can more accurately and quickly arrange the class giving of the teacher and the class giving of the client learning.
Description
Technical Field
The invention relates to the technical field of online education course pushing, in particular to a method and a system for automatically scheduling and pushing online courses.
Background
Online education is a learning behavior based on the internet. With the rapid development of internet technology, students and teachers can develop teaching activities even if the students and teachers are separated by ten thousand miles by taking a network as a communication medium; in addition, by means of the network courseware, the students can learn at any time and any place, the limitation of time and space is broken really, and the network remote education is the most convenient and inexhaustible learning mode for the students with busy work and unfixed learning time.
The teaching resources in all regions are different in degree and different in teaching mode, and the teaching resources in all regions are difficult to share and exchange due to the blocking property of information in the traditional teaching mode, so that the education in all regions is in work according to the department, and the development efficiency is low. The appearance of online teaching courses breaks through the traditional education pattern, the online courses are based on an internet platform, and provide teaching contents similar to the traditional classroom for internet users by taking teaching videos and online live broadcast interaction as main media. Through the development of many years, the contents of online courses include many aspects such as primary and secondary education, advanced education, professional ability education, examination tutoring and the like, the types of the courses are rich, the number of the courses is large, and hundreds or even thousands of online courses can be provided.
The current online education course is all through uploading general teaching course, wait for the user to select online course by oneself and study, and online course content is provided and teacher's online tutor all is artifical and arranges, and every teacher's teaching level, the field of specialization, teaching advantage and teaching time arrangement are all inequality, every student's study situation is different, the study condition is inequality, arrange online course for the student through artifical scheduling, not only hard but also time-consuming, still can not utilize teacher's resource with high efficiency, and the online course scheduling of artifical scheduling is not necessarily fit for student's study situation, thereby online course learning's efficiency has been reduced.
Disclosure of Invention
In view of the above, the present invention provides a method and a system for automatically scheduling and pushing online courses, which solve the technical problems that in the prior art, the online course scheduling and pushing efficiency is low, and intelligent scheduling and pushing cannot be performed for different users and characteristics of online course teachers.
In order to solve the technical problem, the invention provides a method for automatically scheduling and pushing online courses, which comprises the following steps:
on an online course management platform, acquiring the historical time information of online teaching within the latest set time of a teaching teacher, and the teaching content information and the teaching duration information of online teaching within each time period;
acquiring learning historical time information of online courses received by a client in set time and learning content information and learning duration information of the online courses received in each time period;
comparing the learning historical time information with the teaching historical time information and calculating the similarity of the learning historical time information and the teaching historical time information, and selecting the client with the similarity between the learning historical time and the teaching historical time of the teaching teacher reaching or exceeding a preset similarity threshold as a potential client;
comparing the learning content information of the potential client with the teaching content information of the teaching teacher and calculating the similarity of the learning content information and the teaching content information; comparing the learning duration information of the potential client with the teaching duration of the teaching teacher and calculating the similarity; selecting the similarity between the learning content information in the potential client and the teaching content information of the teaching teacher and/or selecting the potential client with the similarity between the learning duration information in the potential client and the teaching duration information of the teaching teacher reaching or exceeding a preset similarity threshold as a push client;
sending the quantity information of the pushing clients to the teaching teacher;
receiving the pre-teaching time, the pre-teaching content information and the pre-teaching duration information of the teaching teacher at the next stage, and sending the pre-teaching time, the pre-teaching content information and the pre-teaching duration information to the pushing client.
Optionally, the sending the quantity information of the push clients to the teaching teacher is:
sending the quantity information of the pushing clients to the teaching teacher;
and when the pre-teaching time, the pre-teaching content information and the pre-teaching duration information of the teaching teacher are not received when the preset time threshold is reached or exceeded, automatically generating a prompt message and sending the prompt message to the teaching teacher.
Optionally, wherein the method further comprises:
when the teaching teacher does not have the teaching historical time information, acquiring teaching intention content information of the teaching teacher;
comparing the learning content information of the client with the teaching intention content information and calculating the similarity of the learning content information and the teaching intention content information; and taking the client with the similarity between the learning content information and the teaching intention content information reaching or exceeding a preset similarity threshold as the push client.
Optionally, the similarity is calculated by a ratio of the number of the same contents of both the parties of the similarity to be calculated to the average value of the number of the contents of both the parties of the similarity to be calculated.
Optionally, the sending the quantity information of the push clients to the teaching teacher is:
when the number of the pushing clients reaches or exceeds the preset number threshold, sending the number information of the pushing clients to the teaching teacher;
and when the number of the pushing clients is smaller than the preset number threshold, pushing the number information of the potential clients, of which the similarity between the learning content information in the potential clients and the teaching content information of the teaching teacher reaches or exceeds the preset similarity threshold, to the teaching teacher.
On the other hand, the invention also provides a system for automatically scheduling and pushing the online courses, which comprises a teaching teacher information memory, a client information memory, a potential client analyzer, a pushing client information transmitter and a teaching teacher scheduling pusher; wherein,
the teaching teacher information memory is connected with the potential client analyzer and is used for acquiring teaching historical time information of online teaching within the latest set time of a teaching teacher, teaching content information and teaching duration information of online teaching within each time period;
the client information memory is connected with the potential client analyzer and is used for acquiring learning historical time information of the client receiving the online courses within set time and learning content information and learning duration information of the client receiving the online courses within each time period;
the potential client analyzer is connected with the teaching teacher information memory, the client information memory and the pushing client analyzer and is used for comparing the learning historical time information with the teaching historical time information and calculating the similarity of the learning historical time information and the teaching historical time information, and the client with the similarity between the learning historical time in the client and the teaching historical time of the teaching teacher reaching or exceeding a preset similarity threshold is selected as a potential client;
the push client analyzer is connected with the potential client analyzer and the push client information transmitter and is used for comparing the learning content information of the potential client with the teaching content information of the teaching teacher and calculating the similarity of the learning content information and the teaching content information; comparing the learning duration information of the potential client with the teaching duration of the teaching teacher and calculating the similarity; selecting the similarity between the learning content information in the potential client and the teaching content information of the teaching teacher and/or selecting the potential client with the similarity between the learning duration information in the potential client and the teaching duration information of the teaching teacher reaching or exceeding a preset similarity threshold as a push client;
the pushing client information transmitter is connected with the pushing client analyzer and the class giving teacher scheduling pusher and is used for transmitting the quantity information of the pushing clients to the class giving teacher;
the class scheduling pusher is connected with the pushing client information transmitter and used for receiving the pre-teaching time, the pre-teaching content information and the pre-teaching duration information of the class teaching teacher at the next stage and sending the pre-teaching time, the pre-teaching content information and the pre-teaching duration information to the pushing client.
Optionally, the push client information transmitter further includes a push client information transmitting unit and an overtime reminding unit; wherein,
the push client information transmission unit is used for transmitting the quantity information of the push clients to the teaching teacher;
and the overtime reminding unit is used for automatically generating a prompt message and sending the prompt message to the teaching teacher when the preset time threshold is reached or exceeded and the pre-teaching time, the pre-teaching content information and the pre-teaching duration information of the teaching teacher are not received.
Optionally, the system further comprises an initial teaching teacher scheduling pusher connected to the potential client analyzer, the initial teaching teacher scheduling pusher comprises a teaching intention content obtaining unit and an initial teaching teacher scheduling pushing unit, wherein,
the teaching intention content acquisition unit is used for acquiring teaching intention content information of the teaching teacher when the teaching teacher does not have the teaching history time information;
the initial teaching teacher scheduling pushing unit is used for comparing the learning content information of the client with the teaching intention content information and calculating the similarity of the learning content information and the teaching intention content information; and taking the client with the similarity between the learning content information and the teaching intention content information reaching or exceeding a preset similarity threshold as the push client.
Optionally, the similarity is calculated by a ratio of the number of the same contents of both the parties of the similarity to be calculated to the average value of the number of the contents of both the parties of the similarity to be calculated.
Optionally, the push client information transmitter further comprises a push client number determination unit and an insufficient push client information transmission unit, wherein,
the number judgment unit of the push clients is used for sending the number information of the push clients to the teaching teacher when the number of the push clients reaches or exceeds the preset number threshold;
and the shortage pushing client information transmitting unit is used for pushing the quantity information of the potential clients, of which the similarity between the learning content information in the potential clients and the teaching content information of the teaching teacher reaches or exceeds a preset similarity threshold value, to the teaching teacher when the quantity of the pushing clients is smaller than the preset quantity threshold value.
Compared with the prior art, the method and the system for automatically scheduling and pushing the online courses, provided by the invention, have the beneficial effects that at least one of the following beneficial effects is realized:
(1) according to the method and the system for automatically scheduling and pushing the online courses, historical learning records of a teaching teacher and a client of a student are collected, the similarity between the teaching characteristics of the teaching teacher and the learning characteristics of the client is analyzed, the teaching of the teaching teacher is automatically scheduled and given according to the obtained similarity, and the teaching scheduling result is pushed to the relevant client, so that the teaching of the teacher and the scheduling of the learning of the client can be more accurately and quickly arranged.
(2) The method and the system for automatically scheduling and pushing the online courses analyze the similarity degree of the learning contents of the teaching teachers and the client, automatically schedule the teaching situations of the teaching teachers according to the learning situations of the client, remind the teaching teachers when the teaching teachers overtime and do not reply the teaching arrangement, automatically schedule and push the online courses according to the historical learning situations of the client and the intention of the teaching teachers when the teaching teachers have no historical teaching history, and improve the pertinence of the teaching teachers in online teaching and further improve the efficiency of the online courses.
(3) The method and the system for automatically scheduling and pushing the online courses analyze the similarity degree of the learning contents of the teaching teacher and the client, and select to automatically schedule and push according to the correlation degree of the teaching contents and the learning contents of the client when the number of the client does not reach the threshold of the number of the automatically scheduling and pushing, thereby further improving the flexibility of automatically scheduling and pushing the online courses.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description, serve to explain the principles of the invention. Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
fig. 1 is a schematic flow chart illustrating a method for automatically scheduling and pushing online courses according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating another method for automatically scheduling and pushing online courses according to an embodiment of the present invention;
FIG. 3 is a flow chart illustrating another method for pushing online courses through automatic scheduling according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating another method for pushing online courses through automatic scheduling according to an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a system for pushing online courses through automatic scheduling according to an embodiment of the present invention;
FIG. 6 is a block diagram of another system for automatically scheduling and pushing online courses according to an embodiment of the present invention;
FIG. 7 is a schematic structural diagram of another system for pushing online courses through automatic scheduling according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of another system for pushing online courses through automatic scheduling according to an embodiment of the present invention.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant application and are not limiting of the application. It should be noted that, for convenience of description, only the portions related to the present application are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
As shown in fig. 1, fig. 1 is a schematic flow chart of a method for pushing online courses in an automatic shift arrangement according to this embodiment. And receiving, storing and analyzing the user information of the client and the historical teaching condition and teaching arrangement of a teaching teacher through an online course management platform. The set time (which may be a day, a week, a month, etc.) is set on the platform, optionally, a function of changing the set time at any time may be set on the platform, when the online course management platform receives a request for changing the set time sent by the client, an interface for changing the set time is generated according to the client information and the request for changing the set time and sent to the client, the changed set time fed back by the client is received, and the changed set time is replaced with the set time stored in the system.
The method for pushing the online courses in the automatic shift scheduling in the embodiment comprises the following steps:
The teaching contents of the teachers needing to be scheduled are mainly live teaching, online guidance and the like, the interest and the history learning conditions of the online courses learned by each client are different, the teaching contents of each teacher are different, and the like, and if the teaching content information of each teacher is widely pushed to each client, the learning interest of the students cannot be aroused according to the learning interest of each client. To a certain extent, the teaching time arrangement condition of each teacher can be found in the historical time information of teaching of the teacher, so that the time arrangement that the teaching teacher can give lessons can be judged.
102, acquiring the learning historical time information of the online course received by the client in the set time, and the learning content information and the learning duration information of the online course received in each time period.
The historical time information of the client in the set time can reflect the time arrangement which can be learned by the client, the historical time information of teaching of the client and a teacher is compared, the teacher and the client which have the similar historical time information are used as a combination with the same online course interaction condition, and the teaching time/learning time can be better arranged for the two parties.
And 103, comparing the learning historical time information with the teaching historical time information, calculating the similarity of the learning historical time information and the teaching historical time information, and selecting the client with the similarity between the learning historical time and the teaching historical time of the teaching teacher reaching or exceeding a preset similarity threshold as a potential client.
Alternatively, the similarity threshold may be greater than or equal to 60%. Course interaction time arrangement is only the first step that the teacher gives lessons or the client learning time is matched, and the two steps are proved to have better learning time scheduling conditions, so that the teacher and the students who give lessons online and learn in schools simultaneously can be uniformly distributed, and the pertinence of scheduling distribution of online teaching is greatly improved.
The teacher and the client with the same time scheduling are paired first, so that the client for scheduling push can have the same time scheduling arrangement as the teaching teacher. And then, the similarity degree of the course content information is calculated by comparing the course content information of the teacher and the client with the same time arrangement, so that the client for scheduling pushing has strong interest and hobby for the course taught by the teaching teacher on line, potential clients interested in the teaching of the teaching teacher in the client can be further screened out, and potential clients close to the teaching time of the teacher are further screened out by combining the historical learning course time information of the clients in the clients, so that the client for scheduling pushing the teaching condition of the teacher is close to the teaching condition of the teacher, the client with high interest in the teaching content information of the teacher is further provided, and the accuracy of the teaching scheduling pushing is further improved.
And 105, sending the quantity information of the push clients to a teaching teacher.
And 106, receiving the quantity information of the pushing clients by the teaching teacher, analyzing the quantity information of the pushing clients, and arranging the teaching in the next stage when the quantity information of the pushing clients reaches a preset quantity, so that the efficiency of the teaching of the teacher in the next stage is not wasted.
Optionally, a target push client quantity threshold of the teaching teacher may be set, the quantity of the push clients is sent to the teaching teacher end only when the quantity of the push clients reaches or exceeds the push client quantity threshold, the quantity information of the push clients is not sent to the teacher end when the quantity information of the push clients does not reach the push client quantity threshold, the teacher does not schedule online teaching in the next stage, and the efficiency of online teaching, scheduling and pushing is greatly improved. Alternatively, the push client threshold may be greater than or equal to 10.
And step 107, receiving the pre-teaching time, the pre-teaching content information and the pre-teaching duration information of the teaching teacher at the next stage, and sending the pre-teaching time, the pre-teaching content information and the pre-teaching duration information to the push client.
Through the analysis and comparison of the client information and the information of the teaching teachers, the online teaching platform can automatically analyze the most appropriate pairing relationship between the teaching teachers and the clients. And the teaching teacher determines the teaching time arrangement of the next stage, the prepared pre-teaching content information and the pre-teaching duration information according to the number condition of the clients, and pushes the information to the pushing client obtained by analysis so as to be selected by the clients. The push clients can feed back information about whether to schedule next-stage course learning according to the pushed information content, and therefore the platform can send related information content to the teacher end for the teacher end to select after analysis, interaction between the teacher end and the clients is greatly improved, and accuracy of on-line teaching, scheduling and pushing is improved.
In some optional embodiments, as shown in fig. 2, which is a schematic flow chart of another method for automatically scheduling and pushing online courses in this embodiment, different from the method in fig. 1, the sending of the quantity information of the pushed clients to the lecture teacher is that:
In some optional embodiments, as shown in fig. 3, a flow chart of a method for pushing online courses for automatically scheduling in this embodiment is different from the method in fig. 1, further including:
Optionally, the similarity is calculated by a ratio of the same content number of both the parties of the similarity to be calculated to the average value of the content numbers of both the parties of the similarity to be calculated.
In some optional embodiments, as shown in fig. 4, which is a schematic flow chart of a method for pushing online courses in an automatic shift arrangement in this embodiment, different from the method in fig. 1, sending quantity information of a pushed client to a lecturer is:
Fig. 5 is a schematic structural diagram of a system 500 for automatically scheduling and pushing online courses according to the embodiment, which is used for implementing the method for automatically scheduling and pushing online courses in the foregoing embodiment, and the system includes a lecturer information storage 501, a client information storage 502, a potential client analyzer 503, a pushing client analyzer 504, a pushing client information transmitter 505, and a lecturer scheduling pusher 506.
The teaching teacher information storage 501 is connected to the potential client analyzer 503, and is configured to obtain teaching history time information of online teaching within a set time recently set by a teaching teacher, and teaching content information and teaching duration information of online teaching within each time period.
The client information storage 502 is connected to the potential client analyzer 503, and is configured to obtain the learning history time information of the online course received by the client within the set time, and the learning content information and the learning duration information of the online course received within each time period.
And the potential client analyzer 503 is connected to the teaching teacher information storage 501, the client information storage 502 and the push client analyzer 504, and configured to compare the learning historical time information with the teaching historical time information and calculate similarity between the learning historical time information and the teaching historical time information, and select a client with a similarity between the learning historical time and the teaching historical time of the teaching teacher reaching or exceeding a preset similarity threshold as a potential client.
A push client analyzer 504 connected to the potential client analyzer 503 and the push client information transmitter 505, for comparing the learning content information of the potential client with the teaching content information of the teaching teacher and calculating the similarity between the learning content information and the teaching content information; comparing the learning duration information of the potential client with the teaching duration of a teaching teacher and calculating the similarity; and selecting the potential client side with the similarity between the learning content information in the potential client side and the teaching content information of the teaching teacher and/or the similarity between the learning duration information in the potential client side and the teaching duration information of the teaching teacher reaching or exceeding a preset similarity threshold as the push client side.
The push client information transmitter 505 is connected to the push client analyzer 504 and the class teacher scheduling pusher 506, and is configured to transmit the number information of the push clients to the class teacher.
The class scheduling pusher 506 is connected to the push client information transmitter 505, and is configured to receive the pre-teaching time, the pre-teaching content information, and the pre-teaching duration information of the next class of the teaching teacher, and send the pre-teaching time, the pre-teaching content information, and the pre-teaching duration information to the push client.
In some optional embodiments, as shown in fig. 6, the push client information transmitter 505 further includes a push client information transmitting unit 551 and a timeout reminding unit 552; wherein,
and the push client information transmission unit 551 is used for transmitting the quantity information of the push clients to the teaching teacher.
And the timeout reminding unit 552 is configured to automatically generate a prompt message and send the prompt message to the teaching teacher when the pre-teaching time, the pre-teaching content information, and the pre-teaching duration information of the teaching teacher are not received when the predetermined time threshold is reached or exceeded.
In some optional embodiments, as shown in fig. 7, the system further comprises an initial lecturer scheduling pusher 507 connected to the potential client analyzer 503, the initial lecturer scheduling pusher 507 comprising: an intention-to-teach content acquiring unit 571 and an initial teaching teacher scheduling pushing unit 572, wherein,
a teaching intention content acquiring unit 571, configured to acquire teaching intention content information of a teaching teacher when the teaching teacher has no teaching history time information.
The initial teaching teacher scheduling pushing unit 572 is configured to compare the learning content information of the client with the teaching intention content information and calculate similarity between the learning content information and the teaching intention content information; and the client with the similarity between the learning content information and the teaching intention content information reaching or exceeding a preset similarity threshold is taken as a push client.
Optionally, in the system, the similarity is calculated by a ratio of the number of the same contents of both the parties of the similarity to be calculated to an average value of the number of the contents of both the parties of the similarity to be calculated.
In some optional embodiments, as shown in fig. 8, the push client information transmitter 505 further includes a push client number determination unit 553 and an insufficient push client information transmission unit 554, wherein,
a push client number determination unit 553, configured to send the number information of the push clients to the lecturer when the number of the push clients reaches or exceeds a preset number threshold.
The shortage amount pushing client information transmitting unit 554 is configured to, when the number of the pushing clients is smaller than a preset number threshold, push the number information of the potential clients whose similarity between the learning content information in the potential clients and the teaching content information of the teaching teacher reaches or exceeds the preset similarity threshold to the teaching teacher.
According to the embodiment, the method and the system for automatically scheduling and pushing the online courses achieve the following beneficial effects:
(1) according to the method and the system for automatically scheduling and pushing the online courses, historical learning records of a teaching teacher and a client of a student are collected, the similarity between the teaching characteristics of the teaching teacher and the learning characteristics of the client is analyzed, the teaching of the teaching teacher is automatically scheduled and given according to the obtained similarity, and the teaching scheduling result is pushed to the relevant client, so that the teaching of the teacher and the scheduling of the learning of the client can be more accurately and quickly arranged.
(2) The method and the system for automatically scheduling and pushing the online courses analyze the similarity degree of the learning contents of the teaching teachers and the client, automatically schedule the teaching situations of the teaching teachers according to the learning situations of the client, remind the teaching teachers when the teaching teachers overtime and do not reply the teaching arrangement, automatically schedule and push the online courses according to the historical learning situations of the client and the intention of the teaching teachers when the teaching teachers have no historical teaching history, and improve the pertinence of the teaching teachers in online teaching and further improve the efficiency of the online courses.
(3) The method and the system for automatically scheduling and pushing the online courses analyze the similarity degree of the learning contents of the teaching teacher and the client, and select to automatically schedule and push according to the correlation degree of the teaching contents and the learning contents of the client when the number of the client does not reach the threshold of the number of the automatically scheduling and pushing, thereby further improving the flexibility of automatically scheduling and pushing the online courses.
Although some specific embodiments of the present invention have been described in detail by way of examples, it should be understood by those skilled in the art that the above examples are for illustrative purposes only and are not intended to limit the scope of the present invention. It will be appreciated by those skilled in the art that modifications may be made to the above embodiments without departing from the scope and spirit of the invention. The scope of the invention is defined by the appended claims.
Claims (8)
1. A method for automatically scheduling and pushing online courses is characterized by comprising the following steps:
on an online course management platform, acquiring the historical time information of online teaching within the latest set time of a teaching teacher, and the teaching content information and the teaching duration information of online teaching within each time period;
acquiring learning historical time information of online courses received by a client in set time and learning content information and learning duration information of the online courses received in each time period;
comparing the learning historical time information with the teaching historical time information and calculating the similarity of the learning historical time information and the teaching historical time information, and selecting the client with the similarity between the learning historical time and the teaching historical time of the teaching teacher reaching or exceeding a preset similarity threshold as a potential client;
comparing the learning content information of the potential client with the teaching content information of the teaching teacher and calculating the similarity of the learning content information and the teaching content information; comparing the learning duration information of the potential client with the teaching duration of the teaching teacher and calculating the similarity; selecting the similarity between the learning content information in the potential client and the teaching content information of the teaching teacher and/or selecting the potential client with the similarity between the learning duration information in the potential client and the teaching duration information of the teaching teacher reaching or exceeding a preset similarity threshold as a push client;
sending the quantity information of the pushing clients to the teaching teacher;
receiving the pre-teaching time, pre-teaching content information and language teaching duration information of the teaching teacher at the next stage, and sending the pre-teaching time, the pre-teaching content information and the language teaching duration information to the push client;
when the teaching teacher does not have the teaching historical time information, acquiring teaching intention content information of the teaching teacher;
comparing the learning content information of the client with the teaching intention content information and calculating the similarity of the learning content information and the teaching intention content information; and taking the client with the similarity between the learning content information and the teaching intention content information reaching or exceeding a preset similarity threshold as the push client.
2. The method for automatically scheduling and pushing online courses according to claim 1, wherein the quantity information of the pushing clients is sent to the teaching teacher, and the method comprises the following steps:
sending the quantity information of the pushing clients to the teaching teacher;
and when the pre-teaching time, the pre-teaching content information and the language teaching duration information of the teaching teacher are not received when the preset time threshold is reached or exceeded, automatically generating a prompt message and sending the prompt message to the teaching teacher.
3. The method for automatically scheduling and pushing online courses according to claim 1, wherein the similarity is calculated in a manner that: and the ratio of the same content quantity of both sides of the similarity to be calculated to the average value of the content quantity of both sides of the similarity to be calculated.
4. The method for automatically scheduling and pushing the online courses according to any one of claims 1 to 3, wherein the quantity information of the pushing clients is sent to the teaching teacher, and the method comprises the following steps:
when the number of the pushing clients reaches or exceeds a preset number threshold, sending the number information of the pushing clients to the teaching teacher;
and when the number of the pushing clients is smaller than the preset number threshold, pushing the number information of the potential clients, of which the similarity between the learning content information in the potential clients and the teaching content information of the teaching teacher reaches or exceeds the preset similarity threshold, to the teaching teacher.
5. A system for automatically scheduling and pushing online courses, comprising: the system comprises a teaching teacher information memory, a client information memory, a potential client analyzer, a push client information transmitter, a teaching teacher scheduling pusher and an initial teaching teacher scheduling pusher; wherein,
the teaching teacher information memory is connected with the potential client analyzer and is used for acquiring teaching historical time information of online teaching within the latest set time of a teaching teacher, teaching content information and teaching duration information of online teaching within each time period;
the client information memory is connected with the potential client analyzer and is used for acquiring learning historical time information of the client receiving the online courses within set time and learning content information and learning duration information of the client receiving the online courses within each time period;
the potential client analyzer is connected with the teaching teacher information memory, the client information memory and the pushing client analyzer and is used for comparing the learning historical time information with the teaching historical time information and calculating the similarity of the learning historical time information and the teaching historical time information, and the client with the similarity between the learning historical time in the client and the teaching historical time of the teaching teacher reaching or exceeding a preset similarity threshold is selected as a potential client;
the push client analyzer is connected with the potential client analyzer and the push client information transmitter and is used for comparing the learning content information of the potential client with the teaching content information of the teaching teacher and calculating the similarity of the learning content information and the teaching content information; comparing the learning duration information of the potential client with the teaching duration of the teaching teacher and calculating the similarity; selecting the similarity between the learning content information in the potential client and the teaching content information of the teaching teacher and/or selecting the potential client with the similarity between the learning duration information in the potential client and the teaching duration information of the teaching teacher reaching or exceeding a preset similarity threshold as a push client;
the pushing client information transmitter is connected with the pushing client analyzer and the class giving teacher scheduling pusher and transmits the quantity information of the pushing clients to the class giving teacher;
the class scheduling pusher is connected with the pushing client information transmitter and used for receiving the pre-teaching time, the pre-teaching content information and the language teaching duration information of the teaching teacher at the next stage and sending the pre-teaching time, the pre-teaching content information and the language teaching duration information to the pushing client;
the initial teaching teacher scheduling pusher is connected with the potential client analyzer and comprises: a teaching intention content acquisition unit and an initial teaching teacher scheduling push unit, wherein,
the teaching intention content acquisition unit is used for acquiring teaching intention content information of the teaching teacher when the teaching teacher does not have the teaching history time information;
the initial teaching teacher scheduling pushing unit is used for comparing the learning content information of the client with the teaching intention content information and calculating the similarity of the learning content information and the teaching intention content information; and taking the client with the similarity between the learning content information and the teaching intention content information reaching or exceeding a preset similarity threshold as the push client.
6. The system for automatically scheduling push online courses according to claim 5, wherein said push client information conveyer further comprises: the system comprises a push client information transmission unit and an overtime reminding unit; wherein,
sending the quantity information of the pushing clients to the teaching teacher;
and when the pre-teaching time, the pre-teaching content information and the language teaching duration information of the teaching teacher are not received when the preset time threshold is reached or exceeded, automatically generating a prompt message and sending the prompt message to the teaching teacher.
7. The system for automatically scheduling and pushing online courses according to claim 5, wherein the similarity is calculated in a manner that: and the ratio of the same content quantity of both sides of the similarity to be calculated to the average value of the content quantity of both sides of the similarity to be calculated.
8. The system for automatically scheduling push online courses according to any of claims 5 to 7, wherein said push client information transmitter further comprises: a push client number determination unit and an insufficient push client information transmission unit, wherein,
the number judgment unit of the push clients is used for sending the number information of the push clients to the teaching teacher when the number of the push clients reaches or exceeds a preset number threshold;
and the shortage pushing client information transmitting unit is used for pushing the quantity information of the potential clients, of which the similarity between the learning content information in the potential clients and the teaching content information of the teaching teacher reaches or exceeds a preset similarity threshold value, to the teaching teacher when the quantity of the pushing clients is smaller than the preset quantity threshold value.
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