CN117372219A - Student course recommendation method and device and electronic equipment - Google Patents
Student course recommendation method and device and electronic equipment Download PDFInfo
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Abstract
The invention relates to the technical field of information recommendation, and discloses a student course recommendation method, a student course recommendation device and electronic equipment, wherein the student course recommendation method comprises the following steps: when a professional planning course recommendation request sent by a student main body terminal is received, determining the type of an online learning platform of data to be acquired according to student identity information contained in the recommendation request; transmitting a data authorization request of the online learning platform of the corresponding type to the student main terminal; when receiving the authorization credentials fed back by the student main body terminal, acquiring interaction data corresponding to the student main body from the corresponding online learning platform according to the received authorization credentials; performing cluster analysis on interaction data corresponding to a student body on an online learning platform, and determining a target occupation planning course required by the student body according to a cluster analysis result; the type, the course content and the course time of the target professional planning course are sent to a student main terminal; and determining the professional planning course to be recommended to the student body according to the received selection result of the student body.
Description
Technical Field
The invention relates to the technical field of information recommendation, in particular to a student course recommendation method and device, electronic equipment and a computer readable storage medium.
Background
As students develop diversity in planning needs, the need to pertinently conduct planning course recommendation also gradually increases. The existing professional planning course recommending mode is to pre-select some courses, and students can select some courses which relatively meet the professional development requirements of the students from the selected courses; the course recommendation mode can select few courses with fixed types, and cannot meet the professional development requirements of different student subjects.
Disclosure of Invention
In view of the above, the embodiments of the present invention provide a method, an apparatus, and an electronic device for recommending a student course, so as to solve the problem that the existing course recommending method cannot meet the professional development requirements of different student subjects.
According to a first aspect, an embodiment of the present invention provides a method for recommending a student course, which is applied to a course recommending platform, wherein the course recommending platform is associated with a plurality of online learning platforms in advance; the method comprises the following steps: when a professional planning course recommendation request sent by a student main body terminal is received, determining the type of an online learning platform of data to be acquired according to student identity information contained in the recommendation request; transmitting a data authorization request of an online learning platform of a corresponding type to the student main terminal; when receiving the authorization credentials fed back by the student main body terminal, acquiring interaction data corresponding to the student main body from the corresponding online learning platform according to the received authorization credentials; performing cluster analysis on the interaction data corresponding to the student main body on the online learning platform, and determining a target occupation planning course required by the student main body according to a cluster analysis result; the type, the course content and the course time of the target professional planning course are sent to a student main terminal; and determining the professional planning course to be recommended to the student body according to the received selection result of the student body.
Optionally, the course recommendation platform is associated with a plurality of data interaction platforms; the method further comprises the steps of: triggering to send psychological course recommendation information to a student body terminal when receiving a professional planning course recommendation request sent by the student body terminal, so that the student body terminal confirms whether a platform is required to recommend psychological courses according to the psychological course recommendation information; when receiving a confirmation instruction fed back by a student main body terminal, sending a data authorization request of a data interaction platform to the student main body terminal; when receiving an authorization credential fed back by the student main body terminal, acquiring interaction data from the data interaction platform according to the received authorization credential; and determining the type of psychological courses, the content of the courses and the time of the courses to be recommended to the student main terminal according to the interaction data.
Optionally, the method further comprises: when the interactive data contained in the corresponding online learning platform does not meet the use requirement, triggering to send a data acquisition request to the student main body terminal and displaying a data acquisition interactive interface, so that the student main body uploads data required by course recommendation through the data acquisition interactive interface; and determining a target professional planning course required by the student body according to the data fed back by the student body terminal.
Optionally, the method further comprises: triggering to send psychological test data to the student main terminal when the interactive data contained in the corresponding data interaction platform does not meet the use requirement; and determining psychological courses needed by the student main body according to psychological test results fed back by the student main body terminal.
Optionally, the method further comprises: when receiving a course type adjustment requirement fed back by any student main body terminal, preprocessing the course type adjustment requirement, and then displaying preset duration on a course recommendation platform; and when course type matching information fed back by other student main body terminals is received within a preset time period and meets the requirements, course adjustment is carried out among the mutually matched student main bodies.
Optionally, the method further comprises: when the curriculum type matching information fed back by other student main body terminals is not received within the preset time length or the curriculum type matching information does not meet the requirements, determining a plurality of priority interchangeable curriculum according to the curriculum type to be adjusted and the curriculum content and the curriculum time thereof; sending the replaceable courses with the priorities to a student main terminal needing course adjustment; and determining courses which finally need to be replaced according to the selection result of the student main body terminal.
Optionally, the method further comprises: for any course, sending course quality evaluation data to the student main terminal according to the preset interval duration; and carrying out statistical analysis on the evaluation result fed back by the student main body terminal received in the target duration, and sending the analysis result to the course main body terminal.
According to a second aspect, an embodiment of the present invention provides a recommendation device for a student course, which is applied to a course recommendation platform, wherein the course recommendation platform is associated with a plurality of online learning platforms in advance; the device comprises: the first determining module is used for determining the type of an online learning platform of data to be acquired according to student identity information contained in a recommendation request when receiving the professional planning course recommendation request sent by the student main body terminal; the first sending module is used for sending a data authorization request of the online learning platform of the corresponding type to the student main terminal; the first acquisition module is used for acquiring interaction data corresponding to the student main body from the corresponding online learning platform according to the received authorization certificate when the authorization certificate fed back by the student main body terminal is received; the second determining module is used for carrying out cluster analysis on the interaction data corresponding to the student main body on the online learning platform and determining a target occupation planning course required by the student main body according to a cluster analysis result; the second sending module is used for sending the type, the course content and the course time of the target professional planning course to a student main terminal; and the third determining module is used for determining the professional planning course to be recommended to the student body according to the received selection result of the student body.
According to a third aspect, an embodiment of the present invention provides an electronic device, including: the system comprises a memory and a processor, wherein the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions so as to execute the recommended method of the student course according to the first aspect or any optional implementation manner of the first aspect.
According to a fourth aspect, an embodiment of the present invention provides a computer readable storage medium storing computer instructions for causing a computer to perform the method for recommending a student course according to the first aspect or any of the alternative embodiments of the first aspect.
The student course recommendation method provided by the embodiment of the invention is applied to a course recommendation platform, and the course recommendation platform is associated with a plurality of online learning platforms in advance; when a professional planning course recommendation request sent by a student main body terminal is received, determining the type of an online learning platform of data to be acquired according to student identity information contained in the recommendation request; transmitting a data authorization request of the online learning platform of the corresponding type to the student main terminal; when receiving the authorization credentials fed back by the student main body terminal, acquiring interaction data corresponding to the student main body from the corresponding online learning platform according to the received authorization credentials; performing cluster analysis on interaction data corresponding to the student main body on the online learning platform, and determining a target occupation planning course required by the student main body according to a cluster analysis result; the type of the target professional planning course, the course content and the course time are sent to a student main terminal; determining a professional planning course to be recommended to the student body according to the received selection result of the student body; through acquiring the interaction data of the student main body on a plurality of online learning platforms, the current concerned or interested direction of the student main body can be accurately known, and the recommendation of the professional planning course can be pertinently performed, so that the student main body can learn pertinently to meet the professional development requirements of different student main bodies.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method of recommending student courses according to an embodiment of the invention;
FIG. 2 is a block diagram of a recommending means for student courses according to an embodiment of the present invention;
fig. 3 is a schematic hardware structure of an electronic device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In accordance with an embodiment of the present invention, there is provided an embodiment of a student course recommendation method, it being noted that the steps shown in the flowchart of the figures may be performed in a computer system such as a set of computer executable instructions, and, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be performed in an order other than that shown or described herein.
The method for recommending the student courses is applied to a course recommending platform, the course recommending platform is associated with a plurality of online learning platforms in advance, the course recommending platform can store a large number of online recording and broadcasting courses of different types of professional planning, psychology and the like in advance or operate some online live broadcasting courses, the online learning platforms can be platforms or websites capable of knowing relevant knowledge in various fields, the types of the online learning platforms are not limited, only a few learning materials can be provided, and the online learning platforms can be online learning website platforms screened and provided by schools in order to ensure the reliability of the online learning platforms. FIG. 1 is a flow chart of a method of recommending student courses according to an embodiment of the invention, as shown in FIG. 1, the flow comprising the steps of:
s101, when a professional planning course recommendation request sent by a student main body terminal is received, determining the type of an online learning platform of data to be acquired according to student identity information contained in the recommendation request.
For example, when any student body terminal wants to know or learn some professional planning courses, a professional planning course recommendation request can be sent to a course recommendation platform through some interactive interfaces of the course recommendation platform, and the recommendation request comprises student identity information such as the age of the student body, the current learning stage and the like; the class recommendation platform can determine the type of the corresponding online learning platform according to the identity information of students, for example, for great newborns in the family, the class recommendation platform may not be very determined or clear for future professional development, the type of the online learning platform which may need to be acquired is wider, and data can be acquired from a plurality of online learning platforms as much as possible to carry out extensive professional planning class recommendation; for students entering the university of science, the possible targets are clear, the data can be acquired from the online learning platform with stronger professional knowledge, the types of the online learning platforms corresponding to the students with different identities are not limited, and the online learning platform can be preset according to the needs.
S102, sending a data authorization request of the online learning platform of the corresponding type to the student main terminal. Illustratively, in order to ensure the security of student data, the course recommendation platform needs to obtain the authorization of the student body when acquiring data from each online learning platform.
And S103, when receiving the authorization credential fed back by the student main body terminal, acquiring interaction data corresponding to the student main body from the corresponding online learning platform according to the received authorization credential. Illustratively, the authorization credential may be signature information encrypted by using a private key of a student main body, the authorization credential is sent to a corresponding online learning platform, and the online learning platform may decrypt by using a pre-stored corresponding public key to determine validity of the data acquired by the course recommendation platform; to ensure student personal data security, the authorization credentials are invalidated after one use.
S104, performing cluster analysis on the interaction data corresponding to the student main body on the online learning platform, and determining a target occupation planning course required by the student main body according to a cluster analysis result; illustratively, the interactive data acquired from one or more online learning platforms are subjected to cluster analysis, and more analysis results can be used as knowledge points of interest of the student body to determine target professional planning courses possibly needed by the student body; specifically, if it is determined through cluster analysis that the student body browses or learns more knowledge in two directions, namely "mathematics" and "law", the planning courses of two professions, namely "finance" and "lawyer" can be used as the target professional planning courses required by the student body. The clustering analysis mode can be to compare the similarity of the interaction data obtained from different online learning platforms, and cluster the interaction data with the similarity meeting certain requirements.
S105, the type, the course content and the course time of the target professional planning course are sent to a student main terminal; the type, the course content and the course time of the target professional planning course are sent to the student main body terminal, so that the student main body can further determine the professional planning course to be learned according to own preference; if the planning courses of the two professions, namely the finance and the lawyer, are determined as the target professional planning courses needed by the student body through the previous step, the course content and the course time (the recorded and broadcast course can be all day, and the live broadcast course can be set according to the specific class opening time) of the professional planning courses of the two professions can be sent to the student, and the student body can select one or two of the two professional planning courses according to the needs.
S106, determining a professional planning course to be recommended to the student body according to the received selection result of the student body. For example, if the student body selects the professional planning course of the professional of the lawyer, the binding of course learning can be completed after final determination can be performed through the student body terminal and the course recommendation platform, and the course propulsion platform can monitor and remind the whole learning process of the student body to assist the student body to timely complete the learning of the professional planning course.
According to the student course recommendation method provided by the embodiment of the invention, the current concerned or interested direction of the student main body can be accurately known by acquiring the interaction data of the student main body on a plurality of online learning platforms, and the recommendation of the professional planning course can be pertinently performed, so that the professional development requirements of different student main bodies can be met.
As an optional implementation manner of the embodiment of the present invention, the course recommendation platform is associated with a plurality of data interaction platforms; the data interaction platform can be an authorized data interaction platform which is more focused and used by a student main body, and the student main body can leave messages, evaluate, create and the like on the data interaction platform; the method further comprises the steps of:
triggering to send psychological course recommendation information to a student body terminal when receiving a professional planning course recommendation request sent by the student body terminal, so that the student body terminal confirms whether a platform is required to recommend psychological courses according to the psychological course recommendation information; for example, when the student body needs the course recommendation platform to perform professional planning course recommendation, a psychological course recommendation function can be triggered, so that the student body synchronously completes the learning of the psychological course when the current platform completes the learning of the professional planning course, and the attention to the psychological health of the student is realized; whether or not the learning of the psychological course is required may be determined based on the result of the confirmation of the student body.
When receiving a confirmation instruction fed back by a student main body terminal, sending a data authorization request of a data interaction platform to the student main body terminal; the specific authorization method may be the same as the above steps, and will not be described herein.
When receiving an authorization credential fed back by the student main body terminal, acquiring interaction data from the data interaction platform according to the received authorization credential; the method for authorizing and acquiring the interaction data may be the same as the above steps, and will not be described herein.
And determining the type of psychological courses, the content of the courses and the time of the courses to be recommended to the student main terminal according to the interaction data. For example, the course recommendation platform may pre-store a psychological big data model, match the obtained interaction data with the psychological big data model, and determine the type of psychological course to be recommended to the student body according to the matching result; the course content introduction and the course time of the psychological course to be recommended can be further sent to the student main body for confirmation, and the student main body can select any plurality of the psychological courses to learn. The psychological big data model is not limited in the embodiment of the application, and can be a model integrating various psychological problems and corresponding psychological data.
As an optional implementation manner of the embodiment of the present invention, the method further includes: when the interactive data contained in the corresponding online learning platform does not meet the use requirement, triggering to send a data acquisition request to the student main body terminal and displaying a data acquisition interactive interface, so that the student main body uploads data required by course recommendation through the data acquisition interactive interface; determining a target occupation planning course required by a student body according to data fed back by the student body terminal; the situation that the use requirement is not met may be that the data amount of the interaction data is insufficient or the clustering result does not meet the requirement, at this time, a data acquisition request may be sent to a student main body terminal and a data acquisition interaction interface may be displayed, the student main body may directly upload the occupation direction to be learned through the data acquisition interaction interface, and the course recommendation platform determines a target occupation planning course possibly required by the student main body according to the uploaded occupation development direction; if the professional development direction uploaded by the student body is lawyer, recommending the target professional planning course corresponding to the profession to the student.
As an optional implementation manner of the embodiment of the present invention, the method further includes: triggering to send psychological test data to the student main terminal when the interactive data contained in the corresponding data interaction platform does not meet the use requirement; and determining psychological courses needed by the student main body according to psychological test results fed back by the student main body terminal. For example, the situation that the use requirement is not met may be that the data amount of the interaction data is insufficient, so that the obtained interaction data is insufficient to match with the psychological big data model, and psychological test data can be sent to the student main terminal for this purpose, and psychological courses required by the student main are determined according to psychological test results fed back by the student main terminal and in combination with the psychological big data model.
As an optional implementation manner of the embodiment of the present invention, the method further includes: when receiving a course type adjustment requirement fed back by any student main body terminal, preprocessing the course type adjustment requirement, and then displaying preset duration on a course recommendation platform; and when course type matching information fed back by other student main body terminals is received within a preset time period and meets the requirements, course adjustment is carried out among the mutually matched student main bodies.
For example, for a live class which is played according to the number of people, when any student main body cannot participate in a certain class on time due to factors such as time, a class type adjustment requirement can be sent to a class recommendation platform, the class recommendation platform can display the adjustment requirement information on the platform after carrying out student information hiding processing, and when other student main bodies have class adjustment requirements within a preset time period and the time and class types are matched, the classes of two students can be directly exchanged, so that normal class opening is ensured and the learning requirement of the students is met.
As an optional implementation manner of the embodiment of the present invention, the method further includes: when the curriculum type matching information fed back by other student main body terminals is not received within the preset time length or the curriculum type matching information does not meet the requirements, determining a plurality of priority interchangeable curriculum according to the curriculum type to be adjusted and the curriculum content and the curriculum time thereof;
for example, when course type matching information fed back by other student body terminals is not received within a preset time period or the course type matching information does not meet the requirement, the platform may sort other courses with similar types and similar time periods by multiple priorities; if the first priority is a live broadcast class which is of the same type and is played in a similar time and has better interactivity, effectiveness and timeliness; the second priority is live lessons with similar types and time, and the third priority is recorded lessons with more random lesson listening time, same type or similar types.
Sending the replaceable courses with the priorities to a student main terminal needing course adjustment;
and determining courses which finally need to be replaced according to the selection result of the student main body terminal. Illustratively, the student principal can select courses of either priority to continue learning based on his own schedule.
As an optional implementation manner of the embodiment of the present invention, the method further includes: for any course, sending course quality evaluation data to the student main terminal according to the preset interval duration; and carrying out statistical analysis on the evaluation result fed back by the student main body terminal received in the target duration, and sending the analysis result to the course main body terminal. The course quality evaluation is obtained regularly, so that the rationality of course arrangement can be mastered in time and the course quality can be ensured.
The embodiment also provides a device for recommending the student courses, which is used for realizing the embodiment and the preferred implementation, and the description is omitted. The term "module" as used below may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
The embodiment provides a recommending device for student courses, which is applied to a course recommending platform, wherein the course recommending platform is associated with a plurality of online learning platforms in advance; as shown in fig. 2, includes:
the first determining module 201 is configured to determine, when a professional planning course recommendation request sent by the student main terminal is received, a type of an online learning platform on which data is to be acquired according to student identity information included in the recommendation request. The detailed description refers to the corresponding related description of the above method embodiments, and will not be repeated here.
A first sending module 202, configured to send a data authorization request of an online learning platform of a corresponding type to the student main terminal; the detailed description refers to the corresponding related description of the above method embodiments, and will not be repeated here.
The first obtaining module 203 is configured to obtain, when an authorization credential fed back by the student main body terminal is received, interaction data corresponding to the student main body from a corresponding online learning platform according to the received authorization credential; the detailed description refers to the corresponding related description of the above method embodiments, and will not be repeated here.
The second determining module 204 is configured to perform cluster analysis on the interaction data corresponding to the student main body on the online learning platform, and determine a target occupation planning course required by the student main body according to a result of the cluster analysis; the detailed description refers to the corresponding related description of the above method embodiments, and will not be repeated here.
A second sending module 205, configured to send the type of the target professional planning course, the course content and the course time to a student main terminal; the detailed description refers to the corresponding related description of the above method embodiments, and will not be repeated here.
And a third determining module 206, configured to determine, according to the received selection result of the student principal, a professional planning course to be recommended to the student principal. The detailed description refers to the corresponding related description of the above method embodiments, and will not be repeated here.
The student course recommendation device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC circuit, a processor and a memory executing one or more software or fixed programs, and/or other devices that can provide the above functions.
According to the recommending device for the student courses, when a professional planning course recommending request sent by a student main body terminal is received, the type of an online learning platform of data to be acquired is determined according to student identity information contained in the recommending request; transmitting a data authorization request of the online learning platform of the corresponding type to the student main terminal; when receiving the authorization credentials fed back by the student main body terminal, acquiring interaction data corresponding to the student main body from the corresponding online learning platform according to the received authorization credentials; performing cluster analysis on interaction data corresponding to the student main body on the online learning platform, and determining a target occupation planning course required by the student main body according to a cluster analysis result; the type of the target professional planning course, the course content and the course time are sent to a student main terminal; determining a professional planning course to be recommended to the student body according to the received selection result of the student body; through acquiring the interaction data of the student main body on a plurality of online learning platforms, the current concerned or interested direction of the student main body can be accurately known, and the recommendation of the professional planning course can be pertinently performed, so that the student main body can learn pertinently to meet the professional development requirements of different student main bodies.
As an optional implementation manner of the present invention, the course recommendation platform is associated with a plurality of data interaction platforms; the apparatus further comprises:
the third sending module is used for triggering to send psychological course recommendation information to the student body terminal when receiving a professional planning course recommendation request sent by the student body terminal, so that the student body terminal confirms whether a platform is required to recommend psychological courses according to the psychological course recommendation information;
the fourth sending module is used for sending a data authorization request of the data interaction platform to the student main body terminal when receiving a confirmation instruction fed back by the student main body terminal;
the second acquisition module is used for acquiring interaction data from the data interaction platform according to the received authorization credential when receiving the authorization credential fed back by the student main terminal;
and the fourth determining module is used for determining the type of psychological courses, the course content and the course time to be recommended to the student main terminal according to the interaction data.
As an alternative embodiment of the present invention, the apparatus further comprises: the fifth sending module is used for triggering to send a data acquisition request to the student main body terminal and displaying a data acquisition interactive interface when the interactive data contained in the corresponding online learning platform does not meet the use requirement, so that the student main body uploads data required by course recommendation through the data acquisition interactive interface; and the fifth determining module is used for determining a target occupation planning course required by the student body according to the data fed back by the student body terminal.
As an alternative embodiment of the present invention, the apparatus further comprises: a sixth sending module, configured to trigger sending psychological test data to the student main terminal when the interactive data included in the corresponding data interaction platform does not meet the use requirement; and the sixth determining module is used for determining psychological courses needed by the student main body according to psychological test results fed back by the student main body terminal.
As an alternative embodiment of the present invention, the apparatus further comprises: the display module is used for displaying preset duration on the course recommendation platform after preprocessing the course type adjustment requirement fed back by any student main terminal when receiving the course type adjustment requirement; and the adjustment module is used for adjusting courses among the mutually matched student main bodies when the course type matching information fed back by other student main body terminals is received within the preset time length and meets the requirements.
As an alternative embodiment of the present invention, the apparatus further comprises: a seventh determining module, configured to determine, when the course type matching information fed back by other student main body terminals is not received within a preset period of time or the course type matching information does not meet a requirement, a plurality of priority replaceable courses according to the course type to be adjusted, the course content and the course time thereof; a seventh sending module, configured to send the replaceable courses with the multiple priorities to a student main terminal that needs course adjustment; and the eighth determining module is used for determining courses which are finally required to be replaced according to the selection result of the student main body terminal.
As an alternative embodiment of the present invention, the apparatus further comprises: the eighth sending module is used for sending course quality evaluation data to the student main terminal according to the preset interval duration for any course; and the ninth sending module is used for carrying out statistical analysis on the evaluation result fed back by the student main body terminal received in the target duration and sending the analysis result to the course main speaking end.
Further functional descriptions of the above modules are the same as those of the above corresponding embodiments, and are not repeated here.
The embodiment of the invention also provides electronic equipment, which is provided with the recommending device for the student courses shown in the figure 2.
Referring to fig. 3, fig. 3 is a schematic structural diagram of an apparatus according to an alternative embodiment of the present invention, and as shown in fig. 3, the apparatus may include: at least one processor 601, such as a central processing unit (Central Processing Unit, CPU), at least one communication interface 603, a memory 604, at least one communication bus 602. Wherein the communication bus 602 is used to enable connected communications between these components. The communication interface 603 may include a Display screen (Display), a Keyboard (Keyboard), and the selectable communication interface 603 may further include a standard wired interface, and a wireless interface. The memory 604 may be a high-speed volatile random access memory (Random Access Memory, RAM) or a non-volatile memory (non-volatile memory), such as at least one disk memory. The memory 604 may also optionally be at least one storage device located remotely from the processor 601. Where the processor 601 may store an application program in the memory 604 in the apparatus described in connection with fig. 2, and the processor 601 invokes the program code stored in the memory 604 for performing any of the method steps described above.
The communication bus 602 may be, among other things, a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, etc. The communication bus 602 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 3, but not only one bus or one type of bus.
Wherein the memory 604 may comprise volatile memory (english), such as random-access memory (RAM); the memory may also include a nonvolatile memory (non-volatile memory), such as a flash memory (flash memory), a hard disk (HDD) or a Solid State Drive (SSD); memory 604 may also include a combination of the types of memory described above.
The processor 601 may be a central processing unit (central processing unit, CPU), a network processor (network processor, NP) or a combination of CPU and NP, among others.
The processor 601 may further comprise a hardware chip, among other things. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (programmable logic device, PLD), or a combination thereof. The PLD may be a complex programmable logic device (complex programmable logic device, CPLD), a field-programmable gate array (field-programmable gate array, FPGA), general-purpose array logic (generic array logic, GAL), or any combination thereof.
Optionally, the memory 604 is also used for storing program instructions. Processor 601 may invoke program instructions to implement the student course recommendation method as shown in the embodiment of fig. 1 of the present application.
The embodiment of the invention also provides a non-transitory computer storage medium, which stores computer executable instructions, and the computer executable instructions can execute the processing method of the recommending method of the student course in any of the method embodiments. Wherein the storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a Flash Memory (Flash Memory), a Hard Disk (HDD), or a Solid State Drive (SSD); the storage medium may also comprise a combination of memories of the kind described above.
Although embodiments of the present invention have been described with reference to the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations are within the scope of the invention as defined in the appended claims.
Claims (10)
1. The method is characterized by being applied to a course recommendation platform, wherein the course recommendation platform is pre-associated with a plurality of online learning platforms; the method comprises the following steps:
when a professional planning course recommendation request sent by a student main body terminal is received, determining the type of an online learning platform of data to be acquired according to student identity information contained in the recommendation request;
transmitting a data authorization request of an online learning platform of a corresponding type to the student main terminal;
when receiving the authorization credentials fed back by the student main body terminal, acquiring interaction data corresponding to the student main body from the corresponding online learning platform according to the received authorization credentials;
performing cluster analysis on the interaction data corresponding to the student main body on the online learning platform, and determining a target occupation planning course required by the student main body according to a cluster analysis result;
the type, the course content and the course time of the target professional planning course are sent to a student main terminal;
and determining the professional planning course to be recommended to the student body according to the received selection result of the student body.
2. The method of claim 1, wherein the curriculum recommendation platform is associated with a plurality of data interaction platforms; the method further comprises the steps of:
triggering to send psychological course recommendation information to a student body terminal when receiving a professional planning course recommendation request sent by the student body terminal, so that the student body terminal confirms whether a platform is required to recommend psychological courses according to the psychological course recommendation information;
when receiving a confirmation instruction fed back by a student main body terminal, sending a data authorization request of a data interaction platform to the student main body terminal;
when receiving an authorization credential fed back by the student main body terminal, acquiring interaction data from the data interaction platform according to the received authorization credential;
and determining the type of psychological courses, the content of the courses and the time of the courses to be recommended to the student main terminal according to the interaction data.
3. The method according to claim 1, wherein the method further comprises:
when the interactive data contained in the corresponding online learning platform does not meet the use requirement, triggering to send a data acquisition request to the student main body terminal and displaying a data acquisition interactive interface, so that the student main body uploads data required by course recommendation through the data acquisition interactive interface;
and determining a target professional planning course required by the student body according to the data fed back by the student body terminal.
4. The method according to claim 2, wherein the method further comprises:
triggering to send psychological test data to the student main terminal when the interactive data contained in the corresponding data interaction platform does not meet the use requirement;
and determining psychological courses needed by the student main body according to psychological test results fed back by the student main body terminal.
5. The method according to claim 1 or 2, characterized in that the method further comprises:
when receiving a course type adjustment requirement fed back by any student main body terminal, preprocessing the course type adjustment requirement, and then displaying preset duration on a course recommendation platform;
and when course type matching information fed back by other student main body terminals is received within a preset time period and meets the requirements, course adjustment is carried out among the mutually matched student main bodies.
6. The method of claim 5, wherein the method further comprises:
when the curriculum type matching information fed back by other student main body terminals is not received within the preset time length or the curriculum type matching information does not meet the requirements, determining a plurality of priority interchangeable curriculum according to the curriculum type to be adjusted and the curriculum content and the curriculum time thereof;
sending the replaceable courses with the priorities to a student main terminal needing course adjustment;
and determining courses which finally need to be replaced according to the selection result of the student main body terminal.
7. The method according to claim 1, wherein the method further comprises:
for any course, sending course quality evaluation data to the student main terminal according to the preset interval duration;
and carrying out statistical analysis on the evaluation result fed back by the student main body terminal received in the target duration, and sending the analysis result to the course main body terminal.
8. A recommending device for a student course is characterized by being applied to a course recommending platform, wherein the course recommending platform is pre-associated with a plurality of online learning platforms; the device comprises:
the first determining module is used for determining the type of an online learning platform of data to be acquired according to student identity information contained in a recommendation request when receiving the professional planning course recommendation request sent by the student main body terminal;
the first sending module is used for sending a data authorization request of the online learning platform of the corresponding type to the student main terminal;
the first acquisition module is used for acquiring interaction data corresponding to the student main body from the corresponding online learning platform according to the received authorization certificate when the authorization certificate fed back by the student main body terminal is received;
the second determining module is used for carrying out cluster analysis on the interaction data corresponding to the student main body on the online learning platform and determining a target occupation planning course required by the student main body according to a cluster analysis result;
the second sending module is used for sending the type, the course content and the course time of the target professional planning course to a student main terminal;
and the third determining module is used for determining the professional planning course to be recommended to the student body according to the received selection result of the student body.
9. An electronic device, comprising:
a memory and a processor, said memory and said processor being communicatively coupled to each other, said memory having stored therein computer instructions, said processor executing said computer instructions to perform the method of recommending a student course according to any one of claims 1-7.
10. A computer-readable storage medium storing computer instructions for causing a computer to perform the student course recommendation method of any one of claims 1-7.
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