CN114781834A - Student education intention analysis device, student education intention analysis electronic device, and storage medium - Google Patents
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Abstract
The invention relates to the field of intelligent decision making, and discloses a student education intention analysis method, a student education intention analysis device, electronic equipment and a storage medium, wherein the method comprises the following steps of: acquiring a student list, performing information authentication on each student in the student list, and recording a training report form of each student in the student list when the information authentication is successful; screening out target students which are not registered with the education paramedics from the student list according to the education paramedics registration table; collecting interview information of the target student in a preset interview link, and analyzing the educational intention of the target student according to the interview information by using a trained intention analysis model; and updating the education and education reference report table corresponding to the target student according to the education and education intention to obtain an updated education and education reference report table. The method can realize intelligent analysis of the intention of the teaching and training student and reduce the teaching and training loss rate of the teaching and training student.
Description
Technical Field
The invention relates to the field of intelligent decision making, in particular to student education intention analysis, a device, electronic equipment and a computer readable storage medium.
Background
With the mass production and the propagation of information in the era of knowledge economy, the training industry develops greatly, however, the current training scene does not have a closed-loop solution for inviting a candidate to participate in training according to the intention of the candidate and interviewing low-intention people to promote the candidate to participate in the training.
At present, most training scenes can not interfere too much with the intention of candidates, so that trainees can not go to the field for training because of not knowing the training content and not knowing whether the trainees are suitable for the trainees, and trainee managers can not know the training intention of the trainees, so that the trainees are lost. Therefore, the current teaching and education industry lacks the analysis of teaching and education intentions of learners, so that the phenomenon that the learners are seriously lost is caused.
Disclosure of Invention
The invention provides a student education intention analysis method, a student education intention analysis device, electronic equipment and a computer readable storage medium, and mainly aims to realize intelligent analysis of the intention of a student education so as to reduce the education loss rate of the student education.
In order to achieve the above object, the present invention provides a learner educational intention analysis method, comprising:
acquiring a student list, performing information authentication on each student in the student list, and recording a training report table of each student in the student list when the information authentication is successful;
screening out target students which are not registered with the education paramedics from the student list according to the education paramedics registration table;
collecting interview information of the target student in a preset interview link, and analyzing the educational intention of the target student according to the interview information by using a trained intention analysis model;
and updating the education participation report form corresponding to the target student according to the education intention.
Optionally, the performing information authentication on each trainee in the trainee list includes:
acquiring registered account information of a student;
extracting personal identity information of each student in the student list;
carrying out consistency check on the registered account information of the student and the personal identity information of the student;
and if the registered account information of the student is consistent with the personal identity information of the student, the information authentication of the student is passed.
Optionally, the recording of the education participation report form of each student in the student list comprises:
constructing an entry training notification of the registered account information according to the registered account information in the student list;
acquiring an initial entry state in the entry training notification;
and constructing an education participation registration form with the initial registration state and the personal identity information in association.
Optionally, the screening out target students with unknown education from the student list according to the education report table includes:
inquiring the registration state of each student in the student list according to the education parameter registration table;
identifying whether the entry state is in an abnormal state;
and when the entry state is in an abnormal state, taking the student corresponding to the entry state as the target student.
Optionally, the collecting interview information of the target student in a preset interview link includes:
extracting key problems in the interview link;
analyzing the intended responses of the target student;
and constructing an interview information table consisting of the key questions and the intention answers of the target trainees, and taking the interview information table as the interview information.
Optionally, before analyzing the educational intention of the target student according to the interview information by using the trained intention analysis model, the method further includes:
acquiring training data and a corresponding real intention;
selecting feature root nodes from the training data, and performing node segmentation on the remaining features in the training data by using a classification layer in a pre-constructed intention analysis model according to the feature root nodes to obtain a plurality of segmentation nodes;
calculating the gradient gain of each segmentation node by using an activation function in the pre-constructed intention analysis model;
performing node splitting on each segmentation node according to the gradient gain to obtain a plurality of split nodes;
calculating loss values of the plurality of split nodes and the training data labels by using a loss function in the pre-constructed intention analysis model;
if the loss value is larger than a preset threshold value, adjusting parameters of the pre-constructed intention analysis model, and returning to the step of selecting a characteristic root node from the training data;
and if the loss value is not greater than a preset threshold value, obtaining a trained intention analysis model.
Optionally, the updating the education participation report form corresponding to the target student according to the education intention includes:
analyzing the registration state in the education intention;
judging whether the entry state is consistent with the initial entry state or not;
if not, updating the initial registration state of the target student to the registration state in the education intention;
if the initial entry state of the target student is consistent with the initial entry state of the target student, updating the initial entry state of the target student is not needed.
In order to solve the above problem, the present invention also provides a student education intention analysis device including:
the report table recording module is used for acquiring a student list, performing information authentication on each student in the student list, and recording a training report table of each student in the student list when the information authentication is successful;
the student screening module is used for screening target students which are not registered for the education and education participants from the student list according to the education and education participant registration list;
the intention analysis module is used for collecting interview information of the target student in a preset interview link and analyzing the educational intention of the target student according to the interview information by using a trained intention analysis model;
and the report updating module is used for updating the education participation report corresponding to the target student according to the education intention.
In order to solve the above problem, the present invention also provides an electronic device, including:
at least one processor; and (c) a second step of,
a memory communicatively coupled to the at least one processor; wherein, the first and the second end of the pipe are connected with each other,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to implement the student educational intent analysis method described above.
In order to solve the above problem, the present invention also provides a computer-readable storage medium having at least one computer program stored therein, the at least one computer program being executed by a processor in an electronic device to implement the trainee educational intention analysis method described above.
It can be seen that, in the embodiment of the present invention, first, information authentication is performed on each trainee in the trainee list to check whether the personal identity information of the trainee is falsely registered or not, and to find out the trainee, and when the information authentication is successful, the training intention of the trainee is obtained by recording the training participation report table of each trainee in the trainee list, and interviews different trainees according to the training intention of the trainee, so as to achieve the purposes of accurately knowing the trends of the trainee and improving the participation rate after interviewing with the trainee; secondly, the embodiment of the invention screens out the target trainees which are not registered for education and participation from the trainee list, the target trainees who are not registered for training are interviewed and interviewed with the target trainees, so that the training rate of the training is improved, and the training intention of the target trainees can be known, the interview link information of the target student is collected and is used for analyzing the interview link information to obtain the training intention of the target student, so that a training platform can conveniently know the current situation of the student, by analyzing the training intention of the target student, the reason that whether the target student is willing to participate in training or not, the reason that the target student is unwilling to participate in training, the understanding degree of a training course and the like are known, so that the training course can be adjusted conveniently according to the training intention of the target student and the audience group of the training course can be predicted. Furthermore, according to the embodiment of the invention, the training participation report table corresponding to the target student is updated according to the training intention, so that the training industry can know the participation condition of the student, and the training course is adjusted, thereby achieving the purposes of adapting to the training intention of the student and improving the experience and sensibility of the student to the training course. Therefore, the learner training intention analysis method, the learner training intention analysis device, the electronic equipment and the storage medium can realize intelligent analysis of the intention of the learner training so as to reduce the training loss rate of the learner training.
Drawings
FIG. 1 is a schematic flow chart illustrating a method for analyzing education intentions of a student according to an embodiment of the invention;
FIG. 2 is a block diagram of an apparatus for analyzing education intentions of a student according to an embodiment of the present invention;
fig. 3 is a schematic internal structural diagram of an electronic device for implementing a student education intention analysis method according to an embodiment of the invention;
the implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The embodiment of the invention provides a learner teaching intention analysis. The subject of the trainee education intention analysis includes, but is not limited to, at least one of a server, a terminal, and other electronic devices that can be configured to perform the method provided by the embodiment of the present invention. In other words, the student educated intent analysis may be performed by software or hardware installed on the terminal device or the server device, which may be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server may be an independent server, or may be a cloud server that provides basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a web service, cloud communication, a middleware service, a domain name service, a security service, a Content Delivery Network (CDN), and a big data and artificial intelligence platform.
Referring to fig. 1, a schematic flow chart of a method for analyzing education intentions of a learner according to an embodiment of the present invention is shown. In the embodiment of the present invention, the student education intention analysis includes the following steps S1-S4:
s1, obtaining a student list, performing information authentication on each student in the student list, and recording the education participation report form of each student in the student list when the information authentication is successful.
In the embodiment of the invention, the student list refers to a student personal information list which needs to be trained and is counted in the education industry, and the student list is arranged by taking Arabic numerals as serial numbers and comprises the name, the registered account number, the mobile phone number and the like of each student.
In the embodiment of the invention, each student in the student list is subjected to information authentication so as to be used for checking whether the personal identity information of the student is subjected to false registration or not, and the condition that the student is absent is checked. For example, the name "Lihua" appears in the trainee list, whereas "Lihua" does not actually exist for this person. The information authentication is also called "verification" or "authentication", which means that the user identity is confirmed by a certain means.
The personal identity information refers to information different from other students, and the information comprises names, mobile phone numbers, registered account numbers, genders and the like of the students.
In an embodiment of the present invention, the performing information authentication on each trainee in the trainee list includes: acquiring registered account information of students, and extracting personal identity information of each student in the student list; carrying out consistency check on the registered account information of the student and the personal identity information of the student; if the registered account information of the student is inconsistent with the personal identity information of the student, the information authentication of the student is not passed, and the student cannot participate in training; and if the registered account information of the student is consistent with the personal identity information of the student, the information authentication of the student is passed.
The registered account information is a set of student mobile phone numbers, student names, IDs issued by student recommenders and the like.
Further, in the embodiment of the present invention, when the information authentication is successful, the teaching participation report table of each trainee in the trainee list is recorded to obtain the participation intention of the trainee, and interview different trainees according to the participation intention of the trainee, so as to accurately know the trends of the trainee after interviewing the trainee and improve the participation rate.
In an embodiment of the present invention, the recording of the education participation report table of each student in the student list includes: acquiring the registered account information and the personal identity information in the student list, and constructing an entry training notification of the registered account information according to the registered account information; identifying an initial entry state in the entry training notification; and associating the initial registration state with the personal identity information to obtain the education paramenia training registration form.
Wherein the entry training notification comprises: the method comprises the following steps of ending registration time, training place, starting time, ending time, training class name, option of registering I, option of refusing registration, default state and the like. Wherein the initial entry state comprises an entry, a rejection, and no selection.
And S2, screening out target students with unknown education and reference from the student list according to the education and reference report table.
In the embodiment of the invention, the target trainees which are not registered for education and training are screened out from the trainee list, so that the target trainees which are not registered for education and training can be revisited and interviewed with the target trainees, and the goals of improving the education and training rate and knowing the training intention of the target trainees are achieved.
The target student refers to a student whose entry state is a rejected entry and is not selected.
As an embodiment of the present invention, the screening out target trainees who are not registered for the education from the trainee list according to the education registration form includes: inquiring the initial registration state of each student in the student list according to the education parameter registration table; and identifying whether the initial registration state is in an abnormal state, and taking the student corresponding to the initial registration state as the target student when the initial registration state is in the abnormal state.
And S3, collecting interview information of the target student in a preset interview link, and analyzing the education intention of the target student according to the interview information by using a trained intention analysis model.
In the embodiment of the invention, interview information of the target student is collected to analyze the training intention of the target student and know the current situation of the student.
Wherein the intention to participate in the training comprises willing to register, refusing to register and not selecting. The preset interviewing link comprises questioning of superior personnel in the training industry, answering of the target students, propaganda and explanation of the superior personnel in the training industry, final selection given by the target students and final selection recorded by the target students. Wherein the interview information records, in the form of a table, a reason why the target trainee rejects the entry, a reason why the target trainee does not make a selection, a reason why the target trainee makes a consideration, a time when the target trainee replies again, and the like.
As an embodiment of the present invention, the collecting interview information of the target student in a preset interview link includes: extracting key problems in the interview link; analyzing the intent responses of the target student; and constructing an interview information table consisting of the key questions and the intention answers of the target student, and extracting the interview information in the interview information table.
Wherein the key questions are questions that the superior staff of the training industry made to the target trainee at interview time, including why the trainee rejected the entry, why the trainee did not make a selection, why the trainee made a consideration, how long the trainee needed to consider, when the trainee replied to it again, etc.
The intention answer is an answer to a question of the superior staff in the education industry when the target student interviews the superior staff in the education industry, and comprises reasons why the target student rejects the registration, reasons why the target student does not select, reasons why the target student considers, time when the target student answers again and the like.
Furthermore, in the embodiment of the present invention, by analyzing the training intention of the target student, whether the target student is willing to participate in training, reasons why the target student is unwilling to participate in training, the degree of understanding of the training course, and the like are known, it is convenient to adjust the training course according to the training intention of the target student and predict the audience group of the training course.
Wherein the education intention comprises willing registration, refusing registration, waiting to be considered and the like.
Further, in the embodiment of the present invention, before analyzing the educational intention of the target student by using the trained intention analysis model according to the interview information, the method further includes: acquiring training data and a corresponding real intention; identifying a root node in the training data, and performing node segmentation on the training data by using a classification layer in a pre-constructed intention analysis model according to the root node to obtain a plurality of segmentation nodes; calculating the segmentation gain of each segmentation node by using a full connection layer in the pre-constructed intention analysis model; performing node splitting on each splitting node according to the splitting gain to obtain a plurality of splitting nodes; calculating the predicted intentions of the plurality of split nodes by using an activation function in the pre-constructed intention analysis model; calculating loss values of the predicted intention and the real intention by using a loss function in the pre-constructed intention analysis model; if the loss value is larger than a preset threshold value, adjusting parameters of the pre-constructed intention analysis model, and returning to execute the step of performing node segmentation on the training data by using a classification layer in the pre-constructed intention analysis model according to the root node; and if the loss value is not larger than the preset threshold value, obtaining a trained intention analysis model.
The pre-constructed intention analysis model is used for calculating intention probabilities of data attributes of interview information according to input data attributes, and accordingly student training intention analysis is achieved.
Wherein the root node may be a first segmentation point of the training data when performing segmentation. The node segmentation of the training data and the node splitting of the segmented nodes can be realized by the histogram algorithm, the loss function can be a cross entropy loss function, the preset threshold can be set to 0.5, the parameters include weight and bias, and the adjustment of the parameters can be realized by a gradient descent algorithm, such as a random gradient descent algorithm.
Further, the embodiment of the invention inputs the interview information into the trained intention analysis model, so as to output the interview information corresponding to the educational intention of the target student through the trained intention analysis model.
And S4, updating the education participation report form corresponding to the target student according to the education intention.
According to the training intention, the training reference registration form corresponding to the target student is updated according to the training intention, so that the training situation of the student can be known by the training industry, the training course is adjusted, the training intention of the student is adapted, and the purpose of improving the experience and the sensibility of the student on the training course is achieved.
As an embodiment of the present invention, the updating the education and education enrollment table corresponding to the target student according to the education intention to obtain an updated education enrollment table includes: analyzing intention declaration state in the education intention; judging whether the intention entry state is consistent with the initial entry state in the education paramete entry table or not; if the intention entry state is consistent with the initial entry state in the academy education reference entry form, taking the academy education reference entry form as the updated academy education reference entry form; and if the intention entry state is inconsistent with the initial entry state in the education reference registration form, updating the initial entry state in the education reference registration form corresponding to the target student to the intention entry state to obtain an updated education reference registration form.
It can be seen that, in the embodiment of the present invention, firstly, information authentication is performed on each trainee in the trainee list to check whether the personal identity information of the trainee is falsely registered or not, and the situation that the trainee is unknown is found, and when the information authentication is successful, the training intention of the trainee is obtained by recording the training participation report table of each trainee in the trainee list, and interviews different trainees according to the training intention of the trainee, so that the goals of accurately knowing the trends of the trainee and improving the participation rate are achieved; secondly, the embodiment of the invention screens out the target trainees which are not registered for education and participation from the trainee list, the target trainees who are not registered for training are interviewed and interviewed with the target trainees, so that the training rate of the training is improved, and the training intention of the target trainees can be known, the interview link information of the target student is collected and is used for analyzing the interview link information to obtain the training intention of the target student, so that a training platform can conveniently know the current situation of the student, by analyzing the training intention of the target student, the reason that whether the target student is willing to participate in training or not, the reason that the target student is unwilling to participate in training, the understanding degree of a training course and the like are known, so that the training course can be adjusted conveniently according to the training intention of the target student and the audience group of the training course can be predicted. Furthermore, according to the embodiment of the invention, the training participation report table corresponding to the target student is updated according to the training intention, so that the training industry can know the participation condition of the student, and the training course is adjusted, thereby achieving the purposes of adapting to the training intention of the student and improving the experience and the sensibility of the student to the training course. Therefore, the student education intention analysis method provided by the embodiment of the invention can realize intelligent analysis of the intention of the education student, so as to reduce the education loss rate of the education student.
FIG. 2 is a functional block diagram of the learning intention analysis apparatus according to the present invention.
The trainee educational intention analysis apparatus 100 according to the present invention may be incorporated in an electronic device. According to the realized function, the student education intention analysis device may include an entry form recording module 101, a student screening module 102, an intention analysis module 103, and an entry form updating module 104. The module of the present invention, which may also be referred to as a unit, refers to a series of computer program segments that can be executed by a processor of an electronic device and can perform a fixed function, and is stored in a memory of the electronic device.
In the present embodiment, the functions regarding the respective modules/units are as follows:
the entry form recording module 101 acquires a student list, performs information authentication on each student in the student list, and records a training entry form of each student in the student list when the information authentication is successful;
the trainee screening module 102 is configured to screen out target trainees who are not registered for the education and education from the trainee list according to the education and education registration form;
the intention analysis module 103 is configured to collect interview information of the target student in a preset interview link, and analyze the educational intention of the target student according to the interview information by using a trained intention analysis model;
and the announcement list updating module 104 is configured to update the education participation announcement list corresponding to the target student according to the education intention, so as to obtain an updated education participation announcement list.
In detail, the modules in the education intention analysis apparatus 100 according to the embodiment of the present invention adopt the same technical means as the education intention analysis of the learner shown in fig. 1, and can produce the same technical effects, and are not described herein again.
Fig. 3 is a schematic structural diagram of an electronic device 1 for implementing the student education intention analysis method according to the present invention.
The electronic device 1 may comprise a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may further comprise a computer program, such as a database fault management program, stored in the memory 11 and operable on the processor 10.
In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same function or different functions, and includes one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor 10 is a Control Unit (Control Unit) of the electronic device 1, connects various components of the electronic device 1 by using various interfaces and lines, and executes various functions and processes data of the electronic device 1 by running or executing programs or modules (for example, executing a database fault management program, etc.) stored in the memory 11 and calling data stored in the memory 11.
The memory 11 includes at least one type of readable storage medium including flash memory, removable hard disks, multimedia cards, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disks, optical disks, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used not only to store application software installed in the electronic device 1 and various types of data, such as codes of a database fault management program, but also to temporarily store data that has been output or will be output.
The communication bus 12 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.
The communication interface 13 is used for communication between the electronic device 1 and other devices, and includes a network interface and an employee interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), which are generally used for establishing a communication connection between the electronic device 1 and other electronic devices 1. The employee interface may be a Display (Display), an input unit, such as a Keyboard (Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable for displaying information processed in the electronic device 1 and for displaying a visual staff interface.
Fig. 3 only shows the electronic device 1 with components, and it will be understood by those skilled in the art that the structure shown in fig. 3 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or some components may be combined, or a different arrangement of components.
For example, although not shown, the electronic device 1 may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so as to implement functions of charge management, discharge management, power consumption management, and the like through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device 1 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
It is to be understood that the embodiments described are for illustrative purposes only and that the scope of the claimed invention is not limited to this configuration.
The database fault management program stored in the memory 11 of the electronic device 1 is a combination of a plurality of computer programs, and when running in the processor 10, can realize:
acquiring a student list, performing information authentication on each student in the student list, and recording a training report table of each student in the student list when the information authentication is successful;
screening out target trainees who do not register the education and practice according to the education and practice registration table from the trainee list;
collecting interview information of the target student in a preset interview link, and analyzing the educational intention of the target student according to the interview information by using a trained intention analysis model;
and updating the education participation report form corresponding to the target student according to the education intention.
Specifically, the processor 10 may refer to the description of the relevant steps in the embodiment corresponding to fig. 1 for a specific implementation method of the computer program, which is not described herein again.
Further, the integrated modules/units of the electronic device 1 may be stored in a non-volatile computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. The computer readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying said computer program code, a recording medium, a usb-disk, a removable hard disk, a magnetic diskette, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The invention also provides a computer-readable storage medium, in which a computer program is stored, which computer program, when executed by a processor of an electronic device 1, enables:
acquiring a student list, performing information authentication on each student in the student list, and recording a training report form of each student in the student list when the information authentication is successful;
screening out target trainees who do not register the education and practice according to the education and practice registration table from the trainee list;
collecting interview information of the target student in a preset interview link, and analyzing the educational intention of the target student according to the interview information by using a trained intention analysis model;
and updating the education and education reference report table corresponding to the target student according to the education and education intention to obtain an updated education and education reference report table.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The embodiment of the invention can acquire and process related data based on an artificial intelligence technology. Among them, Artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human Intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not to denote any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. A trainee educational intention analysis method, comprising:
acquiring a student list, performing information authentication on each student in the student list, and recording a training report form of each student in the student list when the information authentication is successful;
screening out target trainees who do not register the education and practice according to the education and practice registration table from the trainee list;
collecting interview information of the target student in a preset interview link, and analyzing the educational intention of the target student according to the interview information by using a trained intention analysis model;
and updating the education and education reference report table corresponding to the target student according to the education and education intention to obtain an updated education and education reference report table.
2. The method for analysis of education intentions of learners according to claim 1, wherein the information authentication for each learner in the list of learners comprises:
acquiring registered account information of students, and extracting personal identity information of each student in the student list;
carrying out consistency check on the registered account information of the student and the personal identity information of the student;
if the registered account information of the student is inconsistent with the personal identity information of the student, the information authentication of the student is not passed, and the student cannot participate in training;
and if the registered account information of the student is consistent with the personal identity information of the student, the information authentication of the student passes.
3. The method for analyzing education intentions of trainees according to claim 1, wherein the recording of the education participation report form of each trainee in the trainee list comprises:
acquiring the registered account information and the personal identity information in the student list, and constructing an entry training notification of the registered account information according to the registered account information;
identifying an initial entry state in the entry training notification;
and associating the initial registration state with the personal identity information to obtain the education paramenia training registration form.
4. The method for analyzing education intentions of trainees according to claim 1, wherein the step of screening out target trainees who are not enrolled in education from the trainee list according to the education exercise entry form comprises:
inquiring the initial registration state of each student in the student list according to the education parameter training registration table;
and identifying whether the initial registration state is in an abnormal state, and taking the student corresponding to the initial registration state as the target student when the initial registration state is in the abnormal state.
5. The method for analyzing educational intention of a trainee according to claim 1, wherein the collecting interview information of the target trainee in a preset interview link comprises:
extracting key questions in the preset interview link, and analyzing the intention response of the target student;
and constructing an interview information table consisting of the key questions and the intended answers of the target trainees, and extracting the interview information in the interview information table.
6. The method of analyzing educational intention of a trainee according to claim 1, wherein before analyzing the educational intention of the target trainee using the trained intention analysis model based on the interview information, the method further comprises:
acquiring training data and a corresponding real intention;
identifying a root node in the training data, and performing node segmentation on the training data by using a classification layer in a pre-constructed intention analysis model according to the root node to obtain a plurality of segmented nodes;
calculating the segmentation gain of each segmentation node by using a full connection layer in the pre-constructed intention analysis model;
according to the segmentation gain, node splitting is carried out on each segmentation node to obtain a plurality of split nodes;
calculating the predicted intentions of the plurality of split nodes by using an activation function in the pre-constructed intention analysis model;
calculating loss values of the predicted intention and the real intention by using a loss function in the pre-constructed intention analysis model;
if the loss value is larger than a preset threshold value, adjusting parameters of the pre-constructed intention analysis model, returning to execute the step of performing node segmentation on the training data by using a classification layer in the pre-constructed intention analysis model according to the root node;
and if the loss value is not larger than the preset threshold value, obtaining a trained intention analysis model.
7. The method for analyzing education intentions of trainees according to claim 1, wherein the updating the education participation report form corresponding to the target trainee according to the education intentions to obtain an updated education participation report form comprises:
analyzing the intention declaration state in the education intention;
judging whether the intention registration state is consistent with an initial registration state in the education participation training registration form or not;
if the intention entry state is consistent with the initial entry state in the education paramedics entry form, taking the education paramedics entry form as the updated education paramedics entry form;
and if the intention entry state is inconsistent with the initial entry state in the education reference registration form, updating the initial entry state in the education reference registration form corresponding to the target student to the intention entry state to obtain an updated education reference registration form.
8. An trainee educational intention analysis apparatus, characterized by comprising:
the report form recording module is used for acquiring a student list, performing information authentication on each student in the student list, and recording a training report form of each student in the student list when the information authentication is successful;
the student screening module is used for screening target students which are not registered for the education and education participants from the student list according to the education and education participant registration list;
the intention analysis module is used for collecting interview information of the target student in a preset interview link and analyzing the educational intention of the target student according to the interview information by using a trained intention analysis model;
and the registration form updating module is used for updating the registration form of the education participants corresponding to the target student according to the education intention to obtain an updated education participant training registration form.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the student educational intent analysis method of any of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the trainee education intention analysis method according to any one of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210356841.0A CN114781834A (en) | 2022-04-06 | 2022-04-06 | Student education intention analysis device, student education intention analysis electronic device, and storage medium |
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| CN202210356841.0A CN114781834A (en) | 2022-04-06 | 2022-04-06 | Student education intention analysis device, student education intention analysis electronic device, and storage medium |
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| US20090081629A1 (en) * | 2007-09-24 | 2009-03-26 | Chad Walter Billmyer | System and method for matching students to schools |
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| US20180174256A1 (en) * | 2016-12-16 | 2018-06-21 | Approved Colleges, LLC dba Perdia Education | Enrollment Management System and Method |
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| CN113205135A (en) * | 2021-04-30 | 2021-08-03 | 平安科技（深圳）有限公司 | Course prediction model updating method and device, computer equipment and storage medium |
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| US20090081629A1 (en) * | 2007-09-24 | 2009-03-26 | Chad Walter Billmyer | System and method for matching students to schools |
| US20180174256A1 (en) * | 2016-12-16 | 2018-06-21 | Approved Colleges, LLC dba Perdia Education | Enrollment Management System and Method |
| CN107909272A (en) * | 2017-11-15 | 2018-04-13 | 平安科技（深圳）有限公司 | Staffs training registration method, application server and computer-readable recording medium |
| CN109710941A (en) * | 2018-12-29 | 2019-05-03 | 上海点融信息科技有限责任公司 | User's intension recognizing method and device based on artificial intelligence |
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