CN113706025A

CN113706025A - Learning report generation method and device, computer equipment and storage medium

Info

Publication number: CN113706025A
Application number: CN202111010842.1A
Authority: CN
Inventors: 李琛
Original assignee: Beijing Gaotu Yunji Education Technology Co Ltd
Current assignee: Beijing Gaotu Yunji Education Technology Co Ltd
Priority date: 2021-08-31
Filing date: 2021-08-31
Publication date: 2021-11-26

Abstract

The present disclosure provides a learning report generation method, apparatus, computer device and storage medium, wherein the method comprises: determining object category information and job attribute information in response to a data acquisition request; determining target module information corresponding to the data acquisition request based on the object category information and the job attribute information; screening student data information corresponding to the target module information and indicated by the homework identification information from a database based on the homework identification information and the target module information carried in the data acquisition request; the homework identification information comprises a first identification used for representing the homework information and a second identification used for representing students corresponding to the homework information; and generating a learning report based on the target module information and the student data information. By individually configuring the target module information corresponding to the job attribute information for the object category information, a learning report corresponding to the target module information, that is, a learning report corresponding to the object category information can be obtained.

Description

Learning report generation method and device, computer equipment and storage medium

Technical Field

The present disclosure relates to the field of online education technologies, and in particular, to a learning report generation method, apparatus, computer device, and storage medium.

Background

On-line education platform often can carry out comprehensive collection to the study achievement of student each stage, carries out the guide solution to the problem that the student exists to provide teacher's suggestion, will assemble the student report after sending for student, head of a family and teacher. However, the above-mentioned student reports sent to the student, the parent of the student and the teacher of the student are often the same learning report for the student and all data for the student, and thus there is a problem of being relatively single and solid.

Disclosure of Invention

The embodiment of the disclosure at least provides a learning report generation method, a learning report generation device, computer equipment and a storage medium.

In a first aspect, an embodiment of the present disclosure provides a learning report generation method, including:

determining object category information and job attribute information in response to a data acquisition request;

determining target module information corresponding to the data acquisition request based on the object category information and the job attribute information;

screening student data information corresponding to the target module information and indicated by the homework identification information from a database based on homework identification information and the target module information carried in the data acquisition request; the homework identification information comprises a first identification used for representing homework information and a second identification used for representing students corresponding to the homework information;

and generating a learning report based on the target module information and the student data information.

In an optional implementation manner, the determining, based on the object category information and the job attribute information, target module information corresponding to the data obtaining request includes:

determining preset module information corresponding to the job attribute information based on the job attribute information;

and screening target module information corresponding to the object category information from the preset module information.

In an optional implementation manner, the determining, based on the job attribute information, preset module information corresponding to the job attribute information includes:

in the case that the module configuration information is determined to exist, determining first module information corresponding to the job attribute information and indicated by the module configuration information based on the job attribute information;

and taking the first module information as the preset module information.

In an optional embodiment, the method further comprises:

under the condition that the module configuration information does not exist, taking second module information corresponding to the operation attribute information as preset module information; the second module information includes the first module information, and the number of the second module information is greater than or equal to the number of the first module information.

In an optional embodiment, the method further comprises:

acquiring a preset first configuration sequence corresponding to the preset module information;

determining a second configuration sequence corresponding to the target module information based on the first configuration sequence;

generating a learning report based on the goal module information and the student data information, comprising:

generating the learning report based on the goal module information and the student data information in the second configuration order.

In an optional implementation manner, the screening, based on the assignment identification information and the target module information carried in the data acquisition request, student data information corresponding to the target module information and indicated by the assignment identification information from a database includes:

screening target data information indicated by the operation identification information from the database based on the operation identification information;

and screening the student data information corresponding to the target module information from the target data information based on the target module information and the target data information.

In an optional embodiment, the second identifier is used for characterizing identity information of a student; the identity information comprises the school age stage information of the student; different school age stage information is configured with different job attribute information;

the determining of the job attribute information in response to the data acquisition request includes:

and determining job attribute information corresponding to the school age stage information based on the school age stage information.

In an optional embodiment, after the generating a learning report based on the goal module information and the student data information, the method further includes:

responding to a sharing request, acquiring the learning report based on address information of the learning report carried in the sharing request, and generating a picture corresponding to the learning report;

and sending the picture corresponding to the learning report to the user terminal shared by the user terminal indicated by the sharing request.

In an optional embodiment, the object category information includes any one of: student category information, parent category information, and teacher category information.

In a second aspect, an embodiment of the present disclosure further provides a learning report generation apparatus, including:

a first determination module configured to determine object category information and job attribute information in response to a data acquisition request;

a second determining module, configured to determine, based on the object category information and the job attribute information, target module information corresponding to the data obtaining request;

the information screening module is used for screening student data information which corresponds to the target module information and is indicated by the homework identification information from a database based on the homework identification information and the target module information carried in the data acquisition request; the homework identification information comprises a first identification used for representing homework information and a second identification used for representing students corresponding to the homework information;

and the report generation module is used for generating a learning report based on the target module information and the student data information.

In an optional implementation manner, the second determining module is configured to determine preset module information corresponding to the job attribute information based on the job attribute information;

In an optional embodiment, the second determining module is configured to determine, based on the job attribute information, first module information corresponding to the job attribute information and indicated by module configuration information, if it is determined that module configuration information exists;

and taking the first module information as the preset module information.

In an optional embodiment, the second determining module is further configured to, when it is determined that the module configuration information does not exist, take second module information corresponding to the job attribute information as preset module information; the second module information includes the first module information, and the number of the second module information is greater than or equal to the number of the first module information.

In an optional implementation manner, the apparatus further includes a third determining module, configured to obtain a first configuration order corresponding to the preset module information; determining a second configuration sequence corresponding to the target module information based on the first configuration sequence;

and the report generation module is used for generating the learning report based on the target module information and the student data information according to the second configuration sequence.

In an optional embodiment, the information screening module is configured to screen out, from the database, target data information indicated by the job identification information based on the job identification information;

the first determining module is used for determining job attribute information corresponding to the school age stage information based on the school age stage information.

In an optional implementation manner, the device further includes a report sharing module, configured to, after generating a learning report based on the target module information and the student data information, respond to a sharing request, obtain the learning report based on address information of the learning report carried in the sharing request, and generate a picture corresponding to the learning report;

In a third aspect, an embodiment of the present disclosure further provides a computer device, including: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating via the bus when a computer device is running, the machine-readable instructions when executed by the processor performing the steps of the first aspect described above, or any one of the possible learning report generation methods of the first aspect.

In a fourth aspect, the disclosed embodiments also provide a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and the computer program is executed by a processor to perform the steps of the first aspect, or any one of the possible learning report generation methods in the first aspect.

For the effect description of the learning report generation apparatus, the computer device, and the storage medium, reference is made to the description of the learning report generation method, and details are not repeated here.

The learning report generation method, the learning report generation device, the computer equipment and the storage medium provided by the embodiment of the disclosure respond to a data acquisition request and determine object class information and job attribute information; determining target module information corresponding to the data acquisition request based on the object category information and the job attribute information; screening student data information corresponding to the target module information and indicated by the homework identification information from a database based on the homework identification information and the target module information carried in the data acquisition request; the homework identification information comprises a first identification used for representing the homework information and a second identification used for representing students corresponding to the homework information; generating a learning report based on the target module information and the student data information, and compared with the same learning report of a student which is sent to different types of objects in the prior art, determining the type of the object, such as a student, a parent or a teacher, by using the object type information, and then determining the target module information which corresponds to the operation attribute information and the object type information according to the operation attribute information and the object type information; and then, the student data information which corresponds to the target module information and the first identification of the homework information and the second identification of the student in the homework identification information is found from the database, the student data information which corresponds to the target module information and the second identification of the student is configured for the object class information in an individualized manner, the student data information which corresponds to the target module information can be obtained, and then the learning report which corresponds to the target module information, namely the learning report which is matched with the object class information and the homework attribute information is obtained.

Further, according to the learning report generation method and apparatus, the computer device, and the storage medium provided by the embodiments of the present disclosure, in response to the sharing request, the learning report is obtained based on the address information of the learning report carried in the sharing request, and a picture corresponding to the learning report is generated; and sending the picture corresponding to the learning report to the sharing client indicated by the sharing request. Under the condition of sharing the learning report, the picture of the learning report is obtained, the learning report is sent to the user side to be shared in the form of the picture, the user side can conveniently store the learning report, meanwhile, the learning report is stored in the form of the picture, and compared with the mode that a user needs to open a link in the prior art, the mode does not need the support of a network environment, and the condition of report query is reduced.

In order to make the aforementioned objects, features and advantages of the present disclosure more comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings required for use in the embodiments will be briefly described below, and the drawings herein incorporated in and forming a part of the specification illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the technical solutions of the present disclosure. It is appreciated that the following drawings depict only certain embodiments of the disclosure and are therefore not to be considered limiting of its scope, for those skilled in the art will be able to derive additional related drawings therefrom without the benefit of the inventive faculty.

Fig. 1 illustrates a flow chart of a learning report generation method provided by an embodiment of the present disclosure;

fig. 2 is a schematic diagram illustrating a learning report generation apparatus provided in an embodiment of the present disclosure;

fig. 3 shows a schematic structural diagram of a computer device provided by an embodiment of the present disclosure.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, not all of the embodiments. The components of the embodiments of the present disclosure, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present disclosure, presented in the figures, is not intended to limit the scope of the claimed disclosure, but is merely representative of selected embodiments of the disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the disclosure without making creative efforts, shall fall within the protection scope of the disclosure.

Furthermore, the terms "first," "second," and the like in the description and in the claims, and in the drawings described above, in the embodiments of the present disclosure are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein.

Reference herein to "a plurality or a number" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.

Research shows that the online education platform can comprehensively summarize learning results of students in each stage, guide the problems of the students, provide suggestions of teachers, and send summarized student reports to the students, parents and teachers. However, the above-mentioned student reports sent to the student, the parent of the student and the teacher of the student are often the same learning report for the student and all data for the student, and thus there is a problem of being relatively single and solid.

Based on the above research, the present disclosure provides a learning report generation method, apparatus, computer device, and storage medium, which determine a category of an object, such as a student, a parent, or a teacher, using object category information, and then determine target module information corresponding to both the job attribute information and the object category information according to the job attribute information and the object category information; and then, the student data information which corresponds to the target module information and the first identification of the homework information and the second identification of the student in the homework identification information is found from the database, the student data information which corresponds to the target module information and the second identification of the student is configured for the object class information in an individualized manner, the student data information which corresponds to the target module information can be obtained, and then the learning report which corresponds to the target module information, namely the learning report which is matched with the object class information and the homework attribute information is obtained.

The above-mentioned drawbacks are the results of the inventor after practical and careful study, and therefore, the discovery process of the above-mentioned problems and the solutions proposed by the present disclosure to the above-mentioned problems should be the contribution of the inventor in the process of the present disclosure.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.

To facilitate understanding of the present embodiment, first, a learning report generation method disclosed in the embodiments of the present disclosure is described in detail, where an execution subject of the learning report generation method provided in the embodiments of the present disclosure is generally a computer device with certain computing capability, and the computer device includes, for example: terminal equipment or servers or other processing devices. In some possible implementations, the learning report generation method may be implemented by a processor calling computer-readable instructions stored in a memory.

The learning report generation method provided by the embodiment of the present disclosure is described below by taking an execution subject as a server.

First, an application scenario of the learning report generation method disclosed in the embodiment of the present disclosure is introduced, the learning report generation method provided in the embodiment of the present disclosure may be applied to a scenario in which a learning report is generated after a periodic learning result of a student is fully summarized in the field of online education, and a developer may configure preset module information of the learning report in a server in advance, where a configuration rule may configure the preset module information according to conditions of a learning task of the student, a parent, a teacher, and the like. For example, the system comprises an examination result module, a course recommending module, a teacher evaluating and suggesting module and the like, wherein the examination result module can comprise examination results of students and can be displayed in student reports sent to the students; the course recommending module can recommend similar courses according to the learning achievement of the students, and the course recommending module can be displayed in a student report sent to parents; the teacher evaluation and suggestion module can comprise evaluation of stage learning achievement of the students, which is reflected by the teacher to the parents, so that the parents can know the learning conditions of the students in time and adjust the learning mode of the students in a targeted manner according to the evaluation.

Based on the application scenario of the learning report generation method, an embodiment of the present disclosure provides a learning report generation method, as shown in fig. 1, which is a flowchart of the learning report generation method provided by the embodiment of the present disclosure, the method includes steps S101 to S104, where:

s101: in response to the data acquisition request, object category information and job attribute information are determined.

In this step, the data acquisition request may be a request for acquiring student data information sent by different classes of objects. Different classes of objects may include, but are not limited to, students, parents, teachers, and the like.

The object category information may include any one of: student category information, parent category information, and teacher category information. The student category information includes student account ID, student attribute information (grade, age, learning subject, etc.), student target information (accuracy, toufu, yasi, etc.), and the like; the parent category information includes a parent account ID, parent attribute information (associated child account ID, each associated child grade, each associated child age, each associated child learning subject), parent target information (each associated child accuracy, each associated child learning subject and ruled line, each associated child learning subject progress), and the like. The teacher category information includes a teacher account ID, teacher attribute information (account ID of each associated student and account ID of each parent of the student, grade of each associated student, age of each associated student, learning subject of each associated student), teacher target information (accuracy of each associated student, learning subject and ruled line of each associated student, learning subject progress of each associated student), and the like.

The job attribute information may include, but is not limited to, examinations, classroom jobs, post-session jobs, chapter tests, random tests, and the like.

Illustratively, a user may initiate a data acquisition request to the server by clicking on a "learn report" button. The user terminal may be provided with different "study report" buttons such as a "study report" button for students, a "study report" button for parents, and a "study report" button for teachers on the teacher side. The object category information corresponding to the "learning report" button for the student is student category information, the object category information corresponding to the "learning report" button for the parent is parent category information, and the object category information corresponding to the "learning report" button for the teacher is teacher category information.

Specifically, the object category information is correspondingly determined in response to a data acquisition request initiated by clicking a "learning report" button for different categories of objects by a user.

Since the learning report button is arranged in the corresponding learning task, the user clicks the learning report button in the learning task, initiates a data acquisition request to the server, and can determine the job attribute information corresponding to the learning task.

For example, in the case where the learning task is a first unit simulation test, the user clicks a "learning report" button for the student corresponding to the first unit simulation test, and in response to the data acquisition request, the object class information may be determined as the student class information, and the assignment attribute information may be determined as the test.

S102: and determining target module information corresponding to the data acquisition request based on the object type information and the job attribute information.

In this step, the target module information is one or more preset module information preset by a developer.

The preset module information is a plurality of module information (i.e., the following second module information) of a learning report configured in advance in the server by the developer, for example, the module information (the second module information) may include examination scores, score segment distribution, examination paper review (including score ratio of each knowledge point), answer condition (including correct rate, answer duration, answer resolution, etc.), wrong question analysis and suggestion, examination comment (parsing of a problem existing in the student in combination with the examination condition), teacher posting (comment of the student by the teacher), recommendation data (material related to the examination/course), recommended course (course related to the examination/course), length of listening time (length of listening in each course, including live broadcast and playback, etc.), examination in-place (correct rate of examination in each course), post-lesson exercise (correct rate of exercise after each course), and post-exercise (correct rate of exercise after each course), The details of post-session exercises (the comparison result with the results of colleagues), the knowledge point grasping conditions (the number of knowledge points grasped in stages), the evaluation and advice of teachers (the evaluation of student stage learning results and the study advice reflected by teachers to parents), and the like.

In specific implementation, under the condition of determining the object type information and the job attribute information, the preset module information corresponding to the job attribute information can be determined based on the job attribute information; and screening target module information corresponding to the object category information from the preset module information.

Illustratively, taking the job attribute information as an example of an examination, the preset module information corresponding to the job attribute information may include examination scores, score segment distribution, examination paper review, answer conditions, wrong question analysis and suggestion, examination comments, teacher posting, recommendation data, recommended courses, evaluation and suggestion of the teacher, and the like, and when the object type information is determined to be the student type information, target module information corresponding to the student type information is screened from the preset module information, and the target module information includes the examination scores, the score segment distribution, the examination paper review, the answer conditions, wrong question analysis and suggestion, the examination comments, the teacher posting, and the like. And under the condition that the object type information is determined to be the parent type information, screening target module information corresponding to the parent type information from the preset module information, wherein the target module information comprises examination scores, recommended data, recommended courses, evaluation and suggestion of teachers and the like.

For example, taking the operation attribute information as a classroom operation as an example, the preset module information corresponding to the operation attribute information may include a lecture listening duration, an on-site detection, a knowledge point mastering condition, a teacher sending word, recommended data, a recommended course, evaluation and suggestion of the teacher, and the like, and in the case that the object class information is determined to be the teacher class information, target module information corresponding to the teacher class information is screened from the preset module information, and the target module information includes the lecture listening duration, the on-site detection, the knowledge point mastering condition, and the like.

S103: screening student data information corresponding to the target module information and indicated by the homework identification information from a database based on the homework identification information and the target module information carried in the data acquisition request; the homework identification information comprises a first identification used for representing the homework information and a second identification used for representing students corresponding to the homework information.

In this step, the student data information may include, but is not limited to, pre-stored data of student examinations, after-class work answer results, classroom work answer results, class attendance status, and the like. Or the system also comprises data information obtained after processing the data of the student examination, the after-class work answer results and the classroom work answer results.

The data acquisition request initiated by the user carries the job identification information. When responding to the data acquisition request, the first identifier and the second identifier included in the carried job identification information may be identified, and for example, the job identification information may be XX-YY, where YY may be the first identifier characterizing the job information, and XX may be the second identifier characterizing the student corresponding to the job information, such as an identity of the student. The job information may include a first class test, a second class test, and the like.

The user registers basic information of the current user in the application program, the basic information comprises the identity of a student, and the server correspondingly stores the identity of the student and all student data information of the student.

Continuing the above example, under the condition that the target module information includes the lecture listening duration, the classroom detection and the knowledge point mastering condition, and the job identification information includes the first class test of the student a, the student data information which corresponds to the lecture listening duration, the classroom detection and the knowledge point mastering condition and is indicated by XX-YY is respectively screened from the database, and the student data information includes the data information of the lecture listening duration of the first class corresponding to the first class test of the student a, the data information detected in the classroom and the data information of the knowledge point mastering condition.

In some embodiments, the target data information indicated by the job identification information can be screened out from the database based on the job identification information; and screening student data information corresponding to the target module information from the target data information based on the target module information and the target data information.

Illustratively, taking the example that the target module information includes the lecture listening duration, the detection with the classroom, and the knowledge point mastering condition, and the assignment identification information includes the second class classroom test of the student B, the target data information indicated by the assignment identification information is screened from the database, and the target data information includes the answer result of the student B in the second class classroom test, and the analysis result after the answer result of the student B is processed. And screening data information of the class listening duration of the student B in the second class corresponding to the test of the student B in the second class, the data information detected along with the class and the data information of knowledge point mastering conditions from the answer results and the analysis results of the student B.

S104: and generating a learning report based on the target module information and the student data information.

In this step, the learning report includes target module information and student data information.

In some embodiments, after the learning report is generated, the learning report is sent to a user-side interface held by the user clicking the "learning report" button for presentation.

In the above S101 to S104, the object type information is used to determine the type of the object, for example, a student, a parent or a teacher, and then the target module information corresponding to both the job attribute information and the object type information is determined according to the job attribute information and the object type information; and then, the student data information which corresponds to the target module information and the first identification of the homework information and the second identification of the student in the homework identification information is found from the database, the target module information which corresponds to the homework attribute information is configured for the object class information in an individualized manner, and the student data information which corresponds to the target module information can be obtained, so that the learning report which corresponds to the target module information, namely the learning report which is matched with the object class information and the homework attribute information is obtained.

In some embodiments, when a user requests to share a learning report, the learning report may be shared in the form of a picture, specifically, in response to the sharing request, the learning report is obtained based on address information of the learning report carried in the sharing request, and a picture corresponding to the learning report is generated; and sending the picture corresponding to the learning report to the sharing client indicated by the sharing request.

The address information of the learning report may be an address of a database storing the learning report.

Illustratively, a user can realize sharing of a learning report by clicking a sharing button, respond to a sharing request, the sharing request carries address information of the learning report, and can load the address information to obtain the learning report, the sharing request also carries instruction information for invoking a screenshot service, after the learning report is obtained, the screenshot of the learning report is processed to obtain a picture corresponding to the learning report, and the picture is sent to a sharing user terminal indicated by the sharing request.

The picture of the learning report is obtained under the condition of sharing the learning report, the learning report is sent to the user side to be shared in the form of the picture, the user side can conveniently store the learning report, meanwhile, the learning report is stored in the form of the picture, and compared with the mode that a user needs to open a link in the prior art, the mode that the network environment is not needed to support, and the condition of report query is reduced.

For S101, the second identification is used for representing identity information of the student; the identity information can also comprise the age stage information of the student besides the identity identification of the student; different school age stage information is configured with different job attribute information.

Here, the school age stage information includes preschool age, primary school, junior middle school, senior middle school, adult, and the like. For example, the pre-school and elementary school assignment attribute information may include no examination or post-school assignment, only classroom assignment or classroom performance, and the like.

Specifically, based on the school age stage information, job attribute information corresponding to the school age stage information is determined.

Illustratively, in response to the data acquisition request, the object type information is determined to be parent type information, and if the student age stage information is determined to be preschool based on the assignment identification information carried in the data acquisition request, the assignment attribute information is determined to be classroom assignment.

With respect to S102, in some embodiments, preset module information corresponding to the job attribute information may be custom configured. In specific implementation, under the condition that the module configuration information is determined to exist, determining first module information corresponding to the job attribute information and indicated by the module configuration information based on the job attribute information; and taking the first module information as preset module information.

Here, each job attribute information corresponds to module configuration information.

For example, taking the job attribute information as an example of an examination, the module configuration information may be information such as configuration examination scores, wrong question analysis and suggestions, teacher sending words, recommended courses, and evaluation and suggestions of the teacher. The first module information corresponding to the job attribute information and indicated by the module configuration information may be examination scores, wrong question analysis and suggestions, teacher sending words, recommended courses, and evaluation and suggestions of the teacher, that is, the preset module information is the examination scores, wrong question analysis and suggestions, teacher sending words, recommended courses, and evaluation and suggestions of the teacher.

In other embodiments, in a case where it is determined that the module configuration information does not exist, the second module information corresponding to the job attribute information is taken as the preset module information.

The second module information may be all preset module information corresponding to the operation attribute information, which is configured in advance, and may refer to the description of the preset module information, and in the case that the operation attribute information is determined to be an examination, the second module information may include examination scores, score segment distribution, examination paper reviews, answer conditions, wrong question analysis and suggestions, examination comments, teacher statements, recommended data, recommended courses, evaluation and suggestions of the teacher, and the like.

Here, the second module information may include the first module information, and the number of the second module information is greater than or equal to the number of the first module information.

In some embodiments, the learning report may be generated in chronological order of configuring the second module information. The sequence of the time for configuring the second module information comprises the sequence of configuring the preset module information.

In specific implementation, first, a first configuration sequence corresponding to preset module information can be acquired; and determining a second configuration sequence corresponding to the target module information based on the first configuration sequence. Then, according to a second configuration sequence, a learning report is generated based on the target module information and the student data information.

For example, the first configuration order may be a chronological order of the configuration time. The target module information is screened from the preset module information, so that the first configuration sequence corresponding to the preset module information comprises a second configuration sequence corresponding to the target module information, the second configuration sequence of the target module information is inquired from the first configuration sequence of the preset module information, and after the second configuration sequence corresponding to the target module information is determined, the student data information corresponding to each target module information is sequentially generated from top to bottom according to the second configuration sequence, and then the learning report is generated.

It should be noted that, the student data information corresponding to each target module information is sequentially generated from top to bottom according to the second configuration order; or, the student data information corresponding to each target module information is sequentially generated from bottom to top according to the second configuration order, and may be defined according to an actual application scenario, which is not specifically limited in the embodiment of the present disclosure.

For a student, a learning report corresponding to the student is generated, for example, the student may initiate a data acquisition request to a server by clicking a "learning report" button of the student in a blessing test page (specifically, a first chapter test of a blessing course), and may determine that the student category information includes: student C, a graduate, 24 years old, Tuofu course; determining the job attribute information includes: chapter i test on the blessing course; for the blessing course, a plurality of module information of the learning report, which is known to be configured in the server in advance, includes: test scores, score segment distribution, chapter reviews (including the score ratio of each knowledge point), answer conditions (including accuracy, answer duration, answer analysis and the like), wrong question analysis and suggestion, test comments (combining the analysis of the test conditions on the problems of the students), teacher sending comments (comments of the teacher on the students), recommendation data (materials related to blessing), recommended courses (courses related to blessing), lesson-listening duration (lesson-listening duration of each lesson, including live broadcast, playback and the like), on-site detection (accuracy of tests on each lesson), post-session exercises (accuracy of exercises on each lesson), post-session exercise details (comparison results with college student performances), knowledge point mastery (number of knowledge points mastered in stages), evaluation and suggestion of teachers (evaluation of students' learning achievements and learning suggestion reflected by teachers to parents), and the like. Then, preset module information corresponding to the job attribute information (i.e., the first chapter test of the blessing course) is screened from the plurality of modules, including: test scores, score segment distribution, answer conditions (including correct rate, answer duration, answer analysis and the like), wrong question analysis and suggestion, test comments (analysis of problems existing in students in combination with the test conditions), teacher sending words (comments of teachers on students), recommended data (materials related to blessing), recommended courses (courses related to blessing), test details (comparison results with class classmates), knowledge point grasping conditions (number of knowledge points grasped in stages), assessment and suggestion of teachers (assessment of student stage learning results and learning suggestion reflected by teachers to parents) and the like; then, screening out target module information corresponding to the student category information from the preset module information, wherein the target module information comprises the following steps: test scores, score segment distribution, answer conditions (including correct rate, answer duration, answer analysis and the like), wrong question analysis and suggestion, test comments (the analysis of problems existing in students in combination with the test conditions), teacher sending comments (the comments of the teacher to the students), and recommendation data (materials related to the first chapter of blessing). Then, based on the job identification information QQ-PP (i.e. the first identification of the first chapter test for blessing represented by PP and the second identification of the student identity represented by QQ) and the target module information carried in the data acquisition request, student data information indicated by QQ-PP corresponding to test scores, score segment distribution, answer conditions (including accuracy, answer duration, answer analysis and the like), wrong question analysis and suggestion, test comments (analysis of problems existing in students by combining the test condition), teacher posting comments (comments of teachers to students), recommendation data (materials related to the first chapter of blessing) and QQ-PP is respectively screened from the database, wherein the student data information comprises the test score information, the score segment distribution information, the data information of answer conditions, wrong question analysis and suggestion information, the test comment information and the like of the student C in the first chapter test of blessing course, Teacher's message and data message of recommended data. And then, the target module information and the student data information corresponding to the module are used as specific contents in the learning report, for example, a test result module and specific results of the student C corresponding to the module in the first chapter of blessing test, such as 98 and the like, are included. The generated learning report is then presented at the user side interface held by the student.

For the parents, generating a learning report corresponding to the parents, and continuing the example, the parents may initiate a data acquisition request to the server by clicking a "learning report" button of the parents in a blessing test page (specifically, a first chapter test of a blessing course), and may determine that the parent category information includes: parent C, student, 24 years old, Tufu course; determining the job attribute information includes: chapter i test on the blessing course; for the blessing lesson, it is known to configure a plurality of module information in the server in advance (see the above example). Then, preset module information (see the above example) corresponding to the job attribute information (i.e., the first chapter test of the blessing course) is screened from the plurality of modules; then, the target module information corresponding to the parent category information is screened out from the preset module information, and the method comprises the following steps: test results, recommended courses (courses related to blessing), evaluation and advice of the teacher (evaluation of student stage learning results and learning advice reflected by the teacher to the parents). Then, based on the homework identification information WW-PP (i.e. the first identification of the first chapter test for blessing represented by PP and the second identification of the second chapter test for blessing represented by WW) and the target module information carried in the data acquisition request, the student data information indicated by WW-PP corresponding to the test result, the recommended course (course related to blessing), the evaluation and suggestion of the teacher (the evaluation and learning suggestion of the student stage learning result reflected by the teacher to the parents) is respectively screened from the database, and the student data information comprises the test result information, the recommended course data information and the evaluation and suggestion information of the teacher of the student C in the first chapter test for blessing course. And then, the target module information and the student data information corresponding to the modules are used as specific contents in the learning report. And then, displaying the generated learning report on a user side interface held by the parents.

For the teacher, a learning report corresponding to the teacher is generated, and a continuation example is performed, the teacher may initiate a data acquisition request to the server by clicking a "learning report" button of the teacher corresponding to the student C in a blessing test page (specifically, a first chapter test of a blessing course), and may determine that the teacher category information includes: teacher, head of parents C, student, 24 years old, Tufu course; determining the job attribute information includes: chapter i test on the blessing course; for the blessing lesson, it is known to configure a plurality of module information in the server in advance (see the above example). Then, preset module information (see the above example) corresponding to the job attribute information (i.e., the first chapter test of the blessing course) is screened from the plurality of modules; then, target module information corresponding to the teacher category information is screened out from the preset module information, and the method comprises the following steps: the system comprises test results, score segment distribution, answer conditions (including correct rate, answer duration, answer analysis and the like), wrong question analysis and suggestion, test comments (the analysis of problems existing in students is combined with the test conditions), teacher posting (the teacher gives comments to the students), and teacher evaluation and suggestion (the evaluation of periodic learning results of the students and learning suggestions reflected by the teacher to parents). Then, based on the job identification information EE-PP (i.e. the first identification of the first chapter test for blessing represented by PP and the second identification of the identity of teacher represented by EE) and the target module information carried in the data acquisition request, student data information indicated by EE-PP corresponding to the test score, the score segment distribution, the answer condition (including the accuracy, the answer duration, the answer resolution, etc.), the wrong question analysis and suggestion, the test comment (the analysis of the problem existing in the student combined with the test condition), the teacher posting (the comment of the student by the teacher), the evaluation and suggestion of the teacher (the evaluation and the learning suggestion of the stage learning result of the student reflected by the teacher to the parents), the test score segment distribution information of the student C in the first chapter test for blessing course, the data information of the answer condition, and the like are respectively screened and tested from the database, Wrong question analysis and suggestion information, test comment information, teacher posting information and evaluation and suggestion information of the teacher. And then, the target module information and the student data information corresponding to the modules are used as specific contents in the learning report. The generated learning report is then presented at a teacher end interface held by the teacher.

It should be noted that learning corresponding to each object and aiming at the same student can be the same or different, for example, aiming at students, the most comprehensive information can be displayed; for parents, a part of information can be presented, for example, including a teacher return; for the teacher, another part of information may be displayed, for example, the teacher's message is not included, but the parent's message and the personality of the student are included, which is not described in detail.

It will be understood by those skilled in the art that in the method of the present invention, the order of writing the steps does not imply a strict order of execution and any limitations on the implementation, and the specific order of execution of the steps should be determined by their function and possible inherent logic.

Based on the same inventive concept, a learning report generation device corresponding to the learning report generation method is further provided in the embodiments of the present disclosure, and because the principle of solving the problem of the device in the embodiments of the present disclosure is similar to the learning report generation method in the embodiments of the present disclosure, the implementation of the device may refer to the implementation of the method, and repeated details are not described again.

Referring to fig. 2, a schematic diagram of a learning report generation apparatus provided in an embodiment of the present disclosure is shown, where the apparatus includes: a first determining module 201, a second determining module 202, an information screening module 203 and a report generating module 204; wherein the content of the first and second substances,

a first determination module 201 configured to determine object category information and job attribute information in response to a data acquisition request;

a second determining module 202, configured to determine, based on the object category information and the job attribute information, target module information corresponding to the data obtaining request;

the information screening module 203 is configured to screen, based on the job identification information and the target module information carried in the data acquisition request, student data information corresponding to the target module information and indicated by the job identification information from a database; the homework identification information comprises a first identification used for representing homework information and a second identification used for representing students corresponding to the homework information;

a report generating module 204, configured to generate a learning report based on the target module information and the student data information.

In an optional implementation manner, the second determining module 202 is configured to determine preset module information corresponding to the job attribute information based on the job attribute information;

In an optional embodiment, the second determining module 202 is configured to, in a case where it is determined that module configuration information exists, determine, based on the job attribute information, first module information corresponding to the job attribute information indicated by the module configuration information;

and taking the first module information as the preset module information.

In an optional embodiment, the second determining module 202 is further configured to, when it is determined that the module configuration information does not exist, take second module information corresponding to the job attribute information as preset module information; the second module information includes the first module information, and the number of the second module information is greater than or equal to the number of the first module information.

In an optional implementation manner, the apparatus further includes a third determining module 205, configured to obtain a first configuration order corresponding to the preset module information; determining a second configuration sequence corresponding to the target module information based on the first configuration sequence;

the report generating module 204 is configured to generate the learning report based on the target module information and the student data information according to the second configuration order.

In an optional embodiment, the information filtering module 203 is configured to filter out, based on the job identification information, target data information indicated by the job identification information from the database;

the first determining module 201 is configured to determine job attribute information corresponding to the school age stage information based on the school age stage information.

In an optional implementation manner, the apparatus further includes a report sharing module 206, configured to, after generating a learning report based on the target module information and the student data information, respond to a sharing request, obtain the learning report based on address information of the learning report carried in the sharing request, and generate a picture corresponding to the learning report;

The description of the processing flow of each module in the device and the interaction flow between the modules may refer to the related description in the above method embodiments, and will not be described in detail here.

Based on the same technical concept, the embodiment of the application also provides computer equipment. Referring to fig. 3, a schematic structural diagram of a computer device provided in an embodiment of the present application includes:

a processor 31, a memory 32 and a bus 33. Wherein the memory 32 stores machine-readable instructions executable by the processor 31, the processor 31 is configured to execute the machine-readable instructions stored in the memory 32, and when the machine-readable instructions are executed by the processor 31, the processor 31 performs the following steps: s101: determining object category information and job attribute information in response to a data acquisition request; s102: determining target module information corresponding to the data acquisition request based on the object category information and the job attribute information; s103: screening student data information corresponding to the target module information and indicated by the homework identification information from a database based on the homework identification information and the target module information carried in the data acquisition request; the homework identification information comprises a first identification used for representing the homework information and a second identification used for representing students corresponding to the homework information; s104: and generating a learning report based on the target module information and the student data information.

The storage 32 includes a memory 321 and an external storage 322; the memory 321 is also referred to as an internal memory, and is used for temporarily storing the operation data in the processor 31 and the data exchanged with the external memory 322 such as a hard disk, the processor 31 exchanges data with the external memory 322 through the memory 321, and when the computer device is operated, the processor 31 communicates with the memory 32 through the bus 33, so that the processor 31 executes the instructions mentioned in the above method embodiments.

The embodiments of the present disclosure also provide a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps of the learning report generation method in the above method embodiments. The storage medium may be a volatile or non-volatile computer-readable storage medium.

Embodiments of the present disclosure also provide a computer program product, which includes computer instructions, and when executed by a processor, the computer instructions implement the steps of the learning report generation method described above. In which a computer program product may be any product that can implement the above-mentioned learning report generation method, and some or all aspects of the computer program product that contribute to the prior art may be embodied in the form of a Software product (e.g., Software Development Kit (SDK)), which may be stored in a storage medium and causes an associated device or processor to perform some or all of the steps of the above-mentioned learning report generation method through included computer instructions.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method embodiment, and is not described herein again. In the several embodiments provided in the present disclosure, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the modules is only one logical division, and there may be other divisions in actual implementation, and for example, a plurality of modules or components may be combined, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or modules through some communication interfaces, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units 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 units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional modules in the embodiments of the present disclosure may be integrated into one processing module, or each module may exist alone physically, or two or more modules are integrated into one module.

The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a non-volatile computer-readable storage medium executable by a processor. Based on such understanding, the technical solution of the present disclosure may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present disclosure. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

Finally, it should be noted that: the above-mentioned embodiments are merely specific embodiments of the present disclosure, which are used for illustrating the technical solutions of the present disclosure and not for limiting the same, and the scope of the present disclosure is not limited thereto, and although the present disclosure is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive of the technical solutions described in the foregoing embodiments or equivalent technical features thereof within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present disclosure, and should be construed as being included therein. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.

Claims

1. A learning report generation method, comprising:

2. The method according to claim 1, wherein the determining target module information corresponding to the data acquisition request based on the object category information and the job attribute information comprises:

3. The method according to claim 2, wherein the determining preset module information corresponding to the job attribute information based on the job attribute information comprises:

and taking the first module information as the preset module information.

4. The method of claim 3, further comprising:

5. The method of any of claims 2 to 4, further comprising:

6. The method according to claim 1, wherein the screening, from a database, student data information corresponding to the target module information and indicated by the homework identification information based on the homework identification information and the target module information carried in the data acquisition request comprises:

7. The method of claim 1, wherein the second identifier is used to characterize identity information of a student; the identity information comprises the school age stage information of the student; different school age stage information is configured with different job attribute information;

8. The method of claim 1, further comprising, after said generating a learning report based on said goal module information and said student data information:

9. The method according to claim 1, wherein the object class information includes any one of: student category information, parent category information, and teacher category information.

10. A learning report generation apparatus, comprising:

11. A computer device, comprising: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, the processor and the memory communicating over the bus when a computer device is run, the machine-readable instructions when executed by the processor performing the steps of the learning report generation method of any one of claims 1 to 9.

12. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the learning report generation method according to any one of claims 1 to 9.