CN114418802A - Course selection information processing method - Google Patents
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Abstract
The embodiment of the invention relates to a course selection information processing method, which comprises the following steps: acquiring first course selection information sent by a student terminal of a target student; generating course selection suggestion information of the ID of the target student according to a preset historical course selection database and historical evaluation information of the ID of the target student; receiving second course selection information sent by the student terminal based on the course selection suggestion information; marking the second course selection information as volunteer course selection information of the target student ID; selecting a to-be-selected teacher information set corresponding to each volunteer course ID from a preset teacher information database according to each volunteer course ID; receiving volunteer teacher information corresponding to each volunteer course ID sent back by the student terminal; establishing an association relation among target students, volunteer teachers and volunteer courses; according to the association relationship, creating volunteer class information corresponding to each volunteer course ID; and generating the course arrangement information of each volunteer course ID according to the volunteer class information and a preset classroom resource information base.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a course selection information processing method.
Background
With the advance of national college entrance examination point reform, most provinces start to implement new college entrance examination policies one after another. The new college entrance examination selection mode gives students sufficient free selection right and can autonomously determine course subject combination. Corresponding to independent selection of students, high schools in the trial area start to comprehensively promote 'shift-away' teaching and featured learning.
The implementation of the new college entrance policy brings opportunities to students and also brings great challenges to students and parents, and course selection is concerned about whether the students can read an ideal university or not, and even about employment problems after graduations of the student university. Due to the limitation of information acquisition and communication, most parents and students have almost no reference basis to follow when course selection is carried out, which also causes great trouble for school selection, professional selection and industry selection of college entrance examination of students. Moreover, even if the course is selected, the student does not have the right of independently selecting the teacher for learning, the initiative of the student in learning cannot be stimulated, and the competition among teachers is not facilitated.
Disclosure of Invention
The invention aims to provide a course selection information processing method aiming at the defects in the prior art, which utilizes big data and internet technology, can realize course selection, teacher selection, class creation and course arrangement of students, has a certain theoretical basis, avoids the defects caused by blind selection and the conflict problem caused by unreasonable course arrangement, is favorable for exciting subsequent active learning of students, improving the competitiveness of teachers and is also favorable for smoothly developing educational teaching work.
In order to achieve the above object, the present invention provides a course selection information processing method, comprising:
acquiring first course selection information sent by a student terminal of a target student; the first course selection information comprises a target student ID and a plurality of first course IDs;
acquiring historical evaluation information of the ID of the target student and a preset historical course selection database according to the ID of the target student;
generating course selection suggestion information of the target student ID according to the preset historical course selection database and the historical evaluation information of the target student ID, and respectively sending the course selection suggestion information to a student terminal and a parent terminal corresponding to the target student ID;
receiving second course selection information sent by the student terminal based on the course selection suggestion information;
marking the second course selection information as volunteer course selection information of the ID of the target student; the volunteer course selection information comprises a plurality of volunteer course IDs;
according to each volunteer course ID, selecting a to-be-selected teacher information set corresponding to each volunteer course ID from a preset teacher information database, and sending the to-be-selected teacher information set corresponding to the volunteer course ID to the student terminal and the parent terminal;
receiving volunteer teacher information corresponding to each volunteer course ID sent back by the student terminal; the volunteer teacher information includes a plurality of volunteer teacher IDs;
establishing an association relation among the target students, the volunteer teachers and the volunteer courses according to the ID of each volunteer teacher, the ID of each volunteer course and the ID of the target students;
according to the incidence relation, creating volunteer class information corresponding to each volunteer course ID; the volunteer class information comprises volunteer class capacity;
and generating the course arrangement information of each volunteer course ID according to the volunteer class information and a preset classroom resource information base.
Preferably, the historical evaluation information of the target student ID comprises historical learning result information, historical teacher comment information and/or historical quality test information; the historical course selection database comprises a course ID to be selected, historical college entrance examination average score segment information, historical college entrance examination admission information, historical course selection student proportion and historical college entrance examination time information.
Further preferably, the generating of course selection suggestion information of the target student ID according to the preset historical course selection database and the historical evaluation information of the target student ID specifically includes:
generating historical average score information corresponding to the first course ID according to the first course ID and the historical learning score information of the target student ID;
matching the historical average score information corresponding to the first course with the historical college entrance examination average score section information to generate course selection score reference information; and/or the presence of a gas in the gas,
extracting gas quality key word information from the historical gas quality test information, and extracting comment key word information from the historical teacher comment information;
generating the matching degree of the gas key word information and the comment key word information according to a preset semantic model;
comparing the matching degree with a preset semantic matching degree threshold value to generate gas quality reference information;
and determining course selection suggestion information of the ID of the target student according to the course selection result reference information and/or the quality reference information, the historical college entrance examination admission information and the historical course selection student proportion information.
Preferably, the second course selection information includes parental opinion information and a plurality of second course IDs.
Preferably, the teacher information database includes a course ID, a teacher ID, teacher assignment state information, student attendance information, and evaluation information; wherein the teacher distribution status information includes a distributed status and a to-be-distributed status.
Further preferably, the selecting, according to each volunteer course ID, a to-be-selected teacher information set corresponding to each volunteer course ID from a preset teacher information database specifically includes:
according to each volunteer course ID, selecting teacher information with the teacher distribution state information being in an unallocated state from the teacher information database, and generating a first teacher information set; the first set of teacher information includes a plurality of first teacher IDs;
sequencing the first teacher IDs in the first teacher information set according to the attendance information of students, selecting the teacher IDs with the sequencing ranking not more than the preset ranking, and generating a second teacher information set; the second set of teacher information includes a plurality of second teacher IDs;
and generating a to-be-selected teacher information set corresponding to each volunteer course ID according to the second teacher ID and the student attendance information and evaluation information corresponding to the second teacher ID.
Preferably, the creating volunteer class information corresponding to each volunteer course ID according to the association relationship specifically includes:
according to the volunteer course ID, marking target students of the same volunteer course ID as a first student set;
generating a second student set according to the volunteer teacher ID and the first student set; the second set of students includes second student quantity information;
and comparing the second student quantity information with a preset course capacity, and when the second student quantity information is not greater than the preset course capacity, creating volunteer class information corresponding to the volunteer course ID.
Further preferably, when the second student quantity information is greater than the preset lesson capacity, the method further includes:
and creating volunteer class information corresponding to the volunteer course ID according to a preset division rule and the second student set.
Preferably, the preset classroom resource information base includes classroom ID, usage time information, and classroom capacity information.
Further preferably, the generating of the course arrangement information of each volunteer course ID according to the volunteer class information and a preset classroom resource information base specifically includes:
comparing the volunteer class capacity with the classroom capacity information to generate a classroom information set to be selected;
and generating course arrangement information of the volunteer course ID according to the classroom information set to be selected and the using time information.
According to the course selection information processing method provided by the embodiment of the invention, the course selection suggestion information is generated by combining the preset historical course selection database and the historical evaluation information of the students, so that the students and parents can reconsider the independently selected courses on the basis of the course selection suggestion information, and a reliable theoretical basis is provided for the students and the parents when determining course subjects; the teachers to be selected of the volunteer courses are sequenced according to the attendance information of the students, so that the independence of the students for selecting teachers is realized on one hand, and the competitiveness of the teachers is improved on the other hand, so that the defects caused by blind selection are avoided, and the subsequent active learning of the students is stimulated; and finally, reasonable course arrangement is performed by combining students, courses, teachers, classrooms and the like, so that the conflict problem caused by unreasonable course arrangement is avoided, and meanwhile, the teaching and education work can be smoothly carried out.
Drawings
Fig. 1 is a flowchart of a course selection information processing method according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
The course selection information processing method provided by the embodiment of the invention applies big data and internet technology to course selection of students, provides a good theoretical basis for course selection, and solves the problems of blindness and unreasonable course selection brought by the traditional course selection.
Fig. 1 is a flowchart of a course selection information processing method according to an embodiment of the present invention, and a technical solution of the present invention is described with reference to fig. 1 as a specific embodiment.
The course selection information processing method provided by the embodiment of the invention mainly comprises the following steps:
specifically, the execution subject of the method may specifically be a school server. Different user terminals in the method have different authorities. For example, a student terminal has the right to select and modify, while a parent terminal only has the right to view. The target student may be understood as a collection of students for which the school requires a selection, such as a high grade student. The first course selection information may be understood as a course subject selected by the student and/or the parent autonomously. Wherein the first course selection information includes a target student ID and a plurality of first course IDs. The first course ID is a unique identifier of the first course, and may specifically be a course number, a course name, or a course key picture information. The course IDs referred to in the present invention are all given by way of example of course names.
102, acquiring historical evaluation information of the ID of the target student and a preset historical course selection database according to the ID of the target student;
specifically, the historical evaluation information of the target student ID includes historical learning result information, historical teacher comment information, and/or historical quality test information. The historical learning performance information may be understood as a list of the subject performance information of the past tests or examinations of the target student ID. The historical teacher comment information is mainly information which is input and stored by the class owner and each course teacher according to the observation and assessment of students. As the number of teenage psychological problems increases, many schools add staged psychological tests and temperament tests, based on which historical temperament test information is generated.
The historical course selection database is established by analyzing course selection data and college entrance data of students in recent years based on big data and internet technology, and aims to provide a certain theoretical reference basis for course selection of follow-up students.
The historical course selection database can specifically comprise ID of courses to be selected, average score segment information of historical college entrance exam, admission information of historical college entrance exam, proportion of students in historical course selection and time information of historical college entrance exam. The historical college entrance examination time information can be a specific year in recent years. The historical course selection student proportion refers to the proportion of students who select the course in a year to students who attend college entrance examination in the same year. The historical college entrance information may be understood as the proportion of the subject batch that the student who selected the course is ultimately enrolled.
In a specific example, the course ID is "physical", and the historical college entrance average score segment information may specifically include: 90-100 parts; 80-89.9; 70-79.9; 60 to 69.9; 59.9 or less. The proportion of students in the course selection is 45%. The historical college entrance examination time information is specifically 2019. The historical college entrance examination admission information can be 5% of the first batch, 8% of the second batch and 9% of the third batch of the department.
103, generating course selection suggestion information of the target student ID according to a preset historical course selection database and historical evaluation information of the target student ID, and respectively sending the course selection suggestion information to a student terminal and a parent terminal corresponding to the target student ID;
specifically, the course selection suggestion information is sent to the student terminal and the parent terminal simultaneously, an information sharing effect is achieved, meanwhile, the course selection suggestion information is combined with the independently selected courses and considered again when the parents and the students determine course selection information, and a reliable theoretical basis is provided.
More specifically, the course selection suggestion information is generated as follows:
step 1031, generating historical average score information corresponding to the first course ID according to the historical learning score information of the first course ID and the target student ID;
specifically, according to the first course ID, history score information of one course ID is extracted from history learning score information of the target student ID, and history average score information corresponding to the first course ID is calculated according to the history score information and the number of history tests or examinations.
Step 1032, matching the historical average score information corresponding to the first course ID with the historical college entrance examination average score section information to generate course selection score reference information;
specifically, the course selection result reference information may specifically include historical average result information corresponding to the first course, matched historical college entrance examination average result score segment information, and historical college entrance examination average result highest score segment information.
In a specific example, the physical historical average score of a certain student is 82 points, the matched information of the historical college entrance examination average score section is 80-89.9 points, and the information of the historical college entrance examination average score highest score section is 90-100 points.
Step 1033, extracting the gas quality keyword information from the historical gas quality test information, and extracting the comment keyword information from the historical teacher comment information;
step 1034, generating a matching degree of the gas keyword information and the comment keyword information according to a preset semantic model;
specifically, the gas quality keyword information and the comment keyword information are input into a trained semantic model, and corresponding matching degrees are automatically generated. The training process of the semantic model adopts the prior art, and is not described herein again.
In one specific example, the gas key word information may include: the method has the advantages of enthusiasm, hyperactivity, spleen qi urgency, sensitivity, quick response, emotional instability, silence, steady reaction, slow response, silence, autism, slow response, sorrow feeling and the like. The comment keyword information specifically comprises positive, active, multiple-communication, inward, outward, poor discipline, general self-control ability, good logical thinking, general visual thinking and the like.
1035, comparing the matching degree with a preset semantic matching degree threshold value to generate gas quality reference information;
specifically, when the matching degree is not less than a preset semantic matching degree threshold, the gas quality reference information is generated. And when the matching degree is smaller than a preset semantic matching degree threshold value, not outputting.
And a step 1036 of generating course selection suggestion information according to the course selection result reference information and/or the quality reference information, the historical college entrance examination admission information and the historical course selection student proportion information.
Specifically, the course selection suggestion information includes suggestion course information, course selection achievement reference information and/or quality reference information.
104, receiving second course selection information sent by the student terminal based on the course selection suggestion information;
specifically, the second course selection information includes parental opinion information and a plurality of second course IDs. The parent opinion information can be understood as the parent informed confirmation information, on one hand, the parent is helped to be urged to participate in the course selection process of the student more, and on the other hand, the unnecessary dispute problem caused by the subject selection can be avoided. It is understood that the second course ID may or may not be identical to the first course ID.
In a specific example, the plurality of first lesson IDs may include physical, chemical, biological, and the plurality of second lesson IDs may include physical, chemical, biological, and historical, chemical, geographic, and so on.
specifically, label information, such as an asterisk or a color that can be distinguished from the first course selection information, may be added to the second course selection information. Wherein the volunteer course selection information includes a plurality of volunteer course IDs and tag information.
Through the setting of volunteer course selection information, independent course selection and suggestion course selection are organically combined, so that students and parents are not blindly required when course selection is carried out, the unreasonable probability of course selection is reduced to a certain extent, and active learning of the students is facilitated to be excited.
specifically, the teacher information database may be understood as a set of pre-established teacher information of the whole teacher in the school. The teacher information database includes a course ID, a teacher ID, teacher assignment state information, student attendance information, and evaluation information. The teacher distribution state information comprises a distributed state and a to-be-distributed state.
In a further particular embodiment, the first and second coating layers are,
step 1061, according to the volunteer course ID, selecting teacher information with the teacher distribution state information being in an unallocated state from a teacher information database, and generating a first teacher information set;
specifically, according to the volunteer course ID, a course ID matched with the volunteer course ID is selected from the teacher information database. And selecting a corresponding teacher according to the course ID, and then selecting the teacher with the distributed state as the unassigned teacher to generate a first teacher information set. Wherein the first teacher information set includes a plurality of first teacher IDs.
Step 1062, sorting the first teacher IDs in the first teacher information set according to the student attendance information, selecting teacher IDs of which the sorting ranks are not more than preset ranks, and generating a second teacher information set;
specifically, the second teacher information set includes a plurality of second teacher IDs. By way of example and not limitation, if the preset ranking is 4, the teachers with the first three names of the student attendance information are selected as the second teacher information set.
And step 1063, generating a to-be-selected teacher information set corresponding to each volunteer course ID according to the second teacher ID and the student attendance information and evaluation information corresponding to the second teacher ID.
Through the establishment of the information set of the teachers to be selected, the students have more autonomy when selecting the teachers, and the competitiveness among the teachers is improved to a certain extent.
specifically, the volunteer teacher information is selected by the student or the parent according to the information set of the teacher to be selected. The volunteer teacher information includes a volunteer teacher ID. To facilitate student management, it can be understood that there is only one volunteer teacher ID corresponding to each volunteer course ID.
108, establishing association relations among the target students, the volunteer teachers and the volunteer courses according to the IDs of the volunteer teachers, the IDs of the volunteer courses and the IDs of the target students;
specifically, by establishing the association relationship, the subsequent search according to one of the information is facilitated, and the associated information can be obtained.
specifically, the volunteer class information includes a volunteer class ID and a volunteer class capacity.
The method comprises the following specific steps:
step 1091, according to the volunteer course IDs, marking target students of the same volunteer course ID as a first student set;
specifically, the first student set includes a volunteer course ID, first student quantity information, and a first student ID.
Step 1092, generating a second student set according to the volunteer teacher ID and the first student set;
specifically, the second student set includes a volunteer course ID, a volunteer teacher ID, and second student quantity information.
Step 1093, comparing the second student quantity information with the preset curriculum capacity, executing step 1094 when the second student quantity information is not larger than the preset curriculum capacity, and executing step 1095 when the second student quantity information is larger than the preset curriculum capacity;
step 1094, creating volunteer class information corresponding to the volunteer course ID;
step 1095, creating volunteer class information corresponding to the volunteer course ID according to the preset division rule and the second student set.
Specifically, the preset division rule may specifically be an average division rule, a preset course capacity division rule, and the like. It is understood that even with the average division rule, the capacity of each volunteer class must not be greater than the preset lesson capacity.
In a specific example, the volunteer course ID is chemical, the volunteer teacher ID is zhangyi, the second student number information in the second student set is 150, and the preset course capacity is 40, if the average division rule is adopted, the division can be performed into 5 classes, and the capacity of each volunteer class is 30, which is still smaller than the preset course capacity 40. If the lesson capacity division rules are preset, 4 volunteer classes are provided, wherein the volume of the volunteer class of three classes is 40, and the volume of the volunteer class of one class is 30.
And step 110, generating course arrangement information of each volunteer course ID according to the volunteer class information and a preset classroom resource information base.
Specifically, the preset classroom resource information base includes classroom ID, usage time information, and classroom capacity information.
More specifically, the step may be specifically performed by:
firstly, comparing the volunteer class capacity with the classroom capacity information to generate a classroom information set to be selected;
specifically, when the volunteer class capacity information is not greater than the classroom capacity information, the classroom is marked as the classroom to be selected. It is understood that the set of candidate classroom information includes at least two candidate classrooms.
And secondly, generating the course arrangement information of each volunteer course ID according to the information set of the classroom to be selected and the using time information.
Specifically, the first step is to extract the classroom ID to be selected from the classroom information set to be selected, and to search the service time information corresponding to the classroom ID to be selected according to the classroom ID to be selected. And secondly, generating idle time information corresponding to the classroom ID to be selected according to preset class time information in the school timekeeping and the using time information corresponding to the classroom ID to be selected. And thirdly, generating course arrangement information corresponding to each volunteer course ID according to the idle time corresponding to the classroom ID to be selected and the volunteer class ID. Therefore, the conflict of classroom use time caused by unreasonable course arrangement is avoided, and the teaching and education work can be smoothly carried out.
According to the course selection information processing method provided by the embodiment of the invention, the course selection suggestion information is generated by combining the preset historical course selection database and the historical evaluation information of the students, so that the students and parents can reconsider the independently selected courses on the basis of the course selection suggestion information, and a reliable theoretical basis is provided for the students and the parents when determining course subjects; the teachers to be selected of the volunteer courses are sequenced according to the attendance information of the students, so that the independence of the students for selecting teachers is realized on one hand, and the competitiveness of the teachers is improved on the other hand, so that the defects caused by blind selection are avoided, and the subsequent active learning of the students is stimulated; and finally, reasonable course arrangement is performed by combining students, courses, teachers, classrooms and the like, so that the conflict problem caused by unreasonable course arrangement is avoided, and meanwhile, the teaching and education work can be smoothly carried out.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM powertrain control method, or any other form of storage medium known in the art.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A course selection information processing method is characterized by comprising the following steps:
acquiring first course selection information sent by a student terminal of a target student; the first course selection information comprises a target student ID and a plurality of first course IDs;
acquiring historical evaluation information of the ID of the target student and a preset historical course selection database according to the ID of the target student;
generating course selection suggestion information of the target student ID according to the preset historical course selection database and the historical evaluation information of the target student ID, and respectively sending the course selection suggestion information to a student terminal and a parent terminal corresponding to the target student ID;
receiving second course selection information sent by the student terminal based on the course selection suggestion information;
marking the second course selection information as volunteer course selection information of the ID of the target student; the volunteer course selection information comprises a plurality of volunteer course IDs;
according to each volunteer course ID, selecting a to-be-selected teacher information set corresponding to each volunteer course ID from a preset teacher information database, and sending the to-be-selected teacher information set corresponding to the volunteer course ID to the student terminal and the parent terminal;
receiving volunteer teacher information corresponding to each volunteer course ID sent back by the student terminal; the volunteer teacher information includes a plurality of volunteer teacher IDs;
establishing an association relation among the target students, the volunteer teachers and the volunteer courses according to the ID of each volunteer teacher, the ID of each volunteer course and the ID of the target students;
according to the incidence relation, creating volunteer class information corresponding to each volunteer course ID; the volunteer class information comprises volunteer class capacity;
and generating the course arrangement information of each volunteer course ID according to the volunteer class information and a preset classroom resource information base.
2. The course selection information processing method according to claim 1, wherein the historical evaluation information of the target student ID includes historical learning achievement information, historical teacher comment information, and/or historical temperament test information; the historical course selection database comprises a course ID to be selected, historical college entrance examination average score segment information, historical college entrance examination admission information, historical course selection student proportion and historical college entrance examination time information.
3. The course selection information processing method according to claim 2, wherein the generating course selection suggestion information of the target student ID according to the preset historical course selection database and the historical evaluation information of the target student ID specifically comprises:
generating historical average score information corresponding to the first course ID according to the first course ID and the historical learning score information of the target student ID;
matching the historical average score information corresponding to the first course with the historical college entrance examination average score section information to generate course selection score reference information; and/or the presence of a gas in the gas,
extracting gas quality key word information from the historical gas quality test information, and extracting comment key word information from the historical teacher comment information;
generating the matching degree of the gas key word information and the comment key word information according to a preset semantic model;
comparing the matching degree with a preset semantic matching degree threshold value to generate gas quality reference information;
and determining course selection suggestion information of the ID of the target student according to the course selection result reference information and/or the quality reference information, the historical college entrance examination admission information and the historical course selection student proportion information.
4. The course selection information processing method of claim 1, wherein the second course selection information comprises parental opinion information and a plurality of second course IDs.
5. The course selection information processing method according to claim 1, wherein the teacher information database includes a course ID, a teacher ID, teacher assignment state information, student attendance information, and evaluation information; wherein the teacher distribution status information includes a distributed status and a to-be-distributed status.
6. The course selection information processing method of claim 5, wherein the selecting, according to each volunteer course ID, a to-be-selected teacher information set corresponding to each volunteer course ID from a preset teacher information database specifically comprises:
according to each volunteer course ID, selecting teacher information with the teacher distribution state information being in an unallocated state from the teacher information database, and generating a first teacher information set; the first set of teacher information includes a plurality of first teacher IDs;
sequencing the first teacher IDs in the first teacher information set according to the attendance information of students, selecting the teacher IDs with the sequencing ranking not more than the preset ranking, and generating a second teacher information set; the second set of teacher information includes a plurality of second teacher IDs;
and generating a to-be-selected teacher information set corresponding to each volunteer course ID according to the second teacher ID and the student attendance information and evaluation information corresponding to the second teacher ID.
7. The course selection information processing method of claim 1, wherein the creating volunteer class information corresponding to each volunteer course ID according to the association relationship specifically comprises:
according to the volunteer course ID, marking target students of the same volunteer course ID as a first student set;
generating a second student set according to the volunteer teacher ID and the first student set; the second set of students includes second student quantity information;
and comparing the second student quantity information with a preset course capacity, and when the second student quantity information is not greater than the preset course capacity, creating volunteer class information corresponding to the volunteer course ID.
8. The course selection information processing method of claim 7, wherein when the second student quantity information is greater than the preset course capacity, further comprising:
and creating volunteer class information corresponding to the volunteer course ID according to a preset division rule and the second student set.
9. The course selection information processing method as claimed in claim 1, wherein the preset classroom resource information base includes classroom ID, usage time information, and classroom capacity information.
10. The course selection information processing method of claim 9, wherein the generating of the course arrangement information for each volunteer course ID according to the volunteer class information and a preset classroom resource information base specifically comprises:
comparing the volunteer class capacity with the classroom capacity information to generate a classroom information set to be selected;
and generating course arrangement information of the volunteer course ID according to the classroom information set to be selected and the using time information.
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| CN116843526A (en) * | 2023-08-31 | 2023-10-03 | 湖南强智科技发展有限公司 | Method, system, equipment and storage medium for improving class selection probability of students |
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| CN116843526A (en) * | 2023-08-31 | 2023-10-03 | 湖南强智科技发展有限公司 | Method, system, equipment and storage medium for improving class selection probability of students |
| CN116843526B (en) * | 2023-08-31 | 2023-12-15 | 湖南强智科技发展有限公司 | Method, system, equipment and storage medium for improving class selection probability of students |
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