CN113379234A

CN113379234A - Evaluation result generation method and device

Info

Publication number: CN113379234A
Application number: CN202110639133.3A
Authority: CN
Inventors: 杨利君; 吕胜乐; 李正轩; 李翊
Original assignee: Beijing Ape Power Future Technology Co Ltd
Current assignee: Beijing Ape Power Future Technology Co Ltd
Priority date: 2021-06-08
Filing date: 2021-06-08
Publication date: 2021-09-10
Anticipated expiration: 2041-06-08
Also published as: CN113379234B

Abstract

The invention discloses a method and a device for generating an evaluation result, relates to the technical field of data processing, and mainly aims to solve the problem that the efficiency of generating the evaluation result is low at present. The method comprises the following steps: obtaining user works, evaluating the user works through a first evaluation rule to obtain comment information, wherein the first evaluation rule at least comprises one evaluation dimension, and the first evaluation rule is used for selecting corresponding evaluation sentences as comment information according to the matching degree between the user works and a comparison standard and the evaluation dimension; evaluating the user works through a second evaluation rule to obtain scoring information, wherein the second evaluation rule comprises at least one scoring condition and corresponding score, and the second evaluation rule is used for determining the corresponding score as the scoring information according to the scoring condition met by the user works; and generating an evaluation result according to the comment information and the grading information, and outputting the evaluation result. The method is used for the generation process of the evaluation result.

Description

Evaluation result generation method and device

Technical Field

The invention relates to the technical field of data processing, in particular to a method and a device for generating an evaluation result.

Background

In general, in the process of learning by a user, a teacher is often required to review the work learned by the student, and the evaluation result after review is very important for the progress of the user.

At present, with the development of internet technology, online education has gradually become one of the important ways of learning. In the process of online education, two teaching parties are not in one region, a teacher cannot supervise the learning condition of students at any time, and the teaching quality is often inspected through homework, examination and other modes, so that the importance of evaluation results is highlighted after the teacher reviews the works learned by the students every time. In the past, after a user learns, the user is required to submit a user work to an evaluator, i.e., a teacher, and evaluation information, which may include comments and scores, is added manually by the evaluator. However, in practical applications, the existing evaluation result generation method is manually generated by teachers, and this method is also applicable to one-to-one teaching, but when works of a plurality of students or a plurality of stages of one student need to be reviewed, the conventional evaluation result generation method often has a problem that the efficiency of generating the evaluation result is low due to manual operation of the teachers.

Disclosure of Invention

In view of the above problems, the present invention provides a method and an apparatus for generating an evaluation result, and mainly aims to solve the problem of low generation efficiency in the process of generating an evaluation result manually at present.

In order to solve the above technical problem, in a first aspect, the present invention provides a method for generating an evaluation result, including:

obtaining a user work, and evaluating the user work through a first evaluation rule to obtain comment information, wherein the first evaluation rule at least comprises one evaluation dimension, each evaluation dimension at least comprises one evaluation statement, and the first evaluation rule is used for selecting the corresponding evaluation statement as the comment information according to the matching degree between the user work and a comparison standard and the evaluation dimension;

evaluating the user works through a second evaluation rule to obtain scoring information, wherein the second evaluation rule comprises at least one scoring condition and corresponding scoring, and the second evaluation rule is used for determining the corresponding scoring as the scoring information according to the scoring condition met by the user works;

and generating an evaluation result according to the comment information and the grading information, and outputting the evaluation result.

Optionally, the user works comprise programming works, and the comparison criteria comprise a preset regular expression and/or a preset programming work;

the evaluating the user works through the first evaluation rule to obtain comment information, and the evaluating method comprises the following steps:

comparing the regular expression and/or the preset programming work with the programming work to obtain the matching degree;

and determining an evaluation statement corresponding to the matching degree from each evaluation dimension as the comment information.

Optionally, each evaluation dimension at least comprises one evaluation option, each evaluation option at least comprises one evaluation statement, the evaluation option is used for characterizing the degree of superiority and inferiority of the user work in the evaluation dimension, and the degree of superiority and inferiority of the evaluation option is positively correlated with the matching degree;

the determining, as the comment information, the comment statement corresponding to the matching degree from each of the comment dimensions includes:

determining a target evaluation option corresponding to the matching degree according to a plurality of evaluation options contained in the evaluation dimension;

and selecting the evaluation statement corresponding to the work from the target evaluation option as the comment information.

Optionally, before generating an evaluation result according to the comment information and the scoring information, the method further includes:

displaying the comment information through a preset interactive interface, wherein the preset interactive interface comprises a comment information display area, a user level control area and an evaluation dimension control area, and the evaluation dimension control area is used for modifying each evaluation option related to each evaluation dimension corresponding to the comment information;

receiving a comment adjusting instruction, wherein the comment adjusting instruction comprises an evaluation statement to be modified in the comment information and a corresponding target evaluation option, the evaluation statement to be modified is determined after a modification option corresponding to the evaluation statement is triggered when the comment information is displayed, and the target evaluation option is used for replacing the evaluation statement to be modified;

replacing the evaluation statement to be adjusted by the evaluation statement corresponding to the target evaluation option to obtain revised comment information;

the generating an evaluation result according to the comment information and the scoring information includes:

and generating the evaluation result according to the corrected comment information and the grading information.

Optionally, the second evaluation rule includes at least one scoring rule;

before the evaluating the user work through the second evaluation rule to obtain the rating information, the method further includes:

determining user grades of the user works, wherein each user grade corresponds to one scoring rule;

the evaluating the user works through the second evaluation rule to obtain the scoring information, and the evaluating comprises the following steps:

and determining a corresponding scoring rule according to the user grade, and evaluating the user works according to the scoring rule to obtain the scoring information.

Optionally, the scoring rules include at least one evaluation dimension;

the determining a corresponding scoring rule according to the user grade, and evaluating the user works according to the scoring rule to obtain the scoring information includes:

determining whether the user works meet preset scoring conditions of the evaluation dimension;

if so, matching a dimension element corresponding to the evaluation dimension to the user work to serve as the scoring information, wherein the dimension element is used for representing that the user work meets the requirement of the evaluation dimension;

or,

determining an evaluation score corresponding to each evaluation dimension according to the user work;

generating the scoring information according to the evaluation score of each evaluation dimension, wherein the scoring information comprises the evaluation scores corresponding to all the evaluation dimensions respectively;

or,

counting the evaluation score corresponding to each evaluation dimension to obtain an evaluation total score;

and determining the evaluation grade corresponding to the total evaluation grade according to a preset grade relation, wherein the evaluation grade is used for representing the comprehensive score of the user work, and the preset grade relation comprises a grade range corresponding to each evaluation grade.

Optionally, the comparing, according to the regular expression and/or the preset programming work, with the programming work to obtain a matching degree, includes:

acquiring a core code part and a basic code part from the programming work, wherein the core code part is determined based on a programming course corresponding to the programming work, the core code part is used for representing the investigation content corresponding to the programming course, and the basic code part is a code except the core code part in the programming work;

comparing the core code part with the regular expression and/or the preset programming work to obtain a first matching result;

comparing the basic code part with the preset programming work to obtain a second matching result;

and determining the matching degree according to the first matching result and the second matching result.

Optionally, the evaluation result includes a first evaluation result, a second evaluation result, and a third evaluation result, where the first evaluation result is an evaluation result of a current user work of the first user, the second evaluation result is an evaluation result of the first historical user work, and the third evaluation result is an evaluation result of a current user work of the second user;

before the outputting the evaluation result, the method further comprises:

generating change evaluation information according to the first evaluation result and the second evaluation result, wherein the change evaluation information is used for representing the capacity change of the first user;

the outputting of the evaluation result comprises:

outputting the change evaluation information and a first evaluation result;

and/or the presence of a gas in the gas,

before the outputting the evaluation result, the method further comprises:

generating comparison evaluation information according to the first evaluation result and the third evaluation result, wherein the comparison evaluation information is used for representing the capability difference between the first user and the second user;

the outputting of the evaluation result comprises:

outputting the comparison evaluation information, the first evaluation result and the third evaluation result;

and/or the presence of a gas in the gas,

before the outputting the evaluation result, the method further comprises:

generating corresponding dimension display information according to each evaluation dimension according to the first evaluation result, wherein the dimension display information is used for representing the capability of the first user between each dimension;

the outputting of the evaluation result comprises:

and outputting the information according to the first evaluation result and the dimension display information.

In a second aspect, an embodiment of the present invention further provides an apparatus for generating an evaluation result, including:

the evaluation system comprises a first evaluation unit, a second evaluation unit and a comparison unit, wherein the first evaluation unit is used for obtaining a user work and evaluating the user work through a first evaluation rule to obtain comment information, the first evaluation rule at least comprises one evaluation dimension, each evaluation dimension at least comprises one evaluation statement, and the first evaluation rule is used for selecting the corresponding evaluation statement as the comment information according to the matching degree between the user work and a comparison standard and the evaluation dimension;

the second evaluation unit is used for evaluating the user works through a second evaluation rule to obtain scoring information, wherein the second evaluation rule comprises at least one scoring condition and corresponding scoring, and the second evaluation rule is used for determining the corresponding scoring as the scoring information according to the scoring condition met by the user works;

and the generating unit is used for generating an evaluation result according to the comment information and the grading information and outputting the evaluation result.

In order to achieve the above object, according to a third aspect of the present invention, there is provided a storage medium including a stored program, wherein when the program runs, a device in which the storage medium is located is controlled to execute the method for generating an evaluation result according to any one of the first aspect.

In order to achieve the above object, according to a fourth aspect of the present invention, there is provided an apparatus comprising at least one processor, and at least one memory connected with the processor, a bus; the processor and the memory complete mutual communication through the bus; the processor is configured to call a program instruction in the memory, and execute the method for generating an evaluation result according to any one of the first aspect.

According to the technical scheme, the method and the device for generating the evaluation result provided by the invention have the problem that the conventional evaluation result generation mode is generated based on a manual mode, and the generation efficiency is low. Compared with the prior art, in the scheme, the first evaluation rule at least comprises one evaluation dimension, each evaluation dimension at least comprises one evaluation statement, and the first evaluation rule is used for selecting the corresponding evaluation statement as the comment information according to the matching degree between the user work and the comparison standard and the evaluation dimension; the second evaluation rule comprises at least one scoring condition and corresponding scoring, and the second evaluation rule is used for determining the corresponding scoring as the scoring information according to the scoring condition met by the user work, so that the effect of automatically evaluating the user work according to a set rule is realized through the first evaluation rule and the second evaluation rule. Meanwhile, the evaluation process is carried out based on the first evaluation rule and the second evaluation rule, so that the generated comment information and the generated score information are evaluated and generated according to the set rules, the problem of large subjective influence in a manual mode can be avoided, and the accuracy of the evaluation result can be improved. In addition, in the evaluation process of the invention, because the evaluation information is determined by the evaluation sentences, and the evaluation sentences are selected according to the matching degree between the user works and the comparison standard and the evaluation dimension, the effect of automatically selecting the evaluation sentences according to the matching degree in the evaluation process is ensured, and because the evaluation sentences are preset, the problems of wrongly written characters, language diseases and the like which possibly exist when the evaluation is generated based on manual work are avoided, the accuracy of the evaluation information can be improved, the accuracy of the evaluation result is integrally improved, the requirement of repeatedly reading the evaluation result in a conventional generation mode can be avoided, and the generation efficiency of the evaluation result is further integrally improved.

The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:

FIG. 1 is a flow chart of a method for generating an evaluation result according to an embodiment of the present invention;

fig. 2 is a schematic diagram illustrating a preset interactive interface when the evaluation result generation method according to the embodiment of the present invention is executed;

FIG. 3 is a block diagram illustrating an evaluation result generation apparatus according to an embodiment of the present invention;

fig. 4 is a block diagram illustrating a device for generating an evaluation result according to an embodiment of the present invention.

Detailed Description

Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.

In order to solve the problem of low generation efficiency in the process of generating an evaluation result in a manual manner at present, an embodiment of the present invention provides an evaluation result generation method, as shown in fig. 1, the method includes:

101. the method comprises the steps of obtaining user works, evaluating the user works through a first evaluation rule, and obtaining comment information.

The first evaluation rule at least comprises one evaluation dimension, each evaluation dimension at least comprises one evaluation statement, and the first evaluation rule is used for selecting the corresponding evaluation statement as the comment information according to the matching degree between the user work and the comparison standard and the evaluation dimension.

In the process of obtaining the user works, the user works can be obtained by receiving the work information sent by the user, or can be obtained through a preset interactive interface, which is not limited herein.

In addition, the first evaluation rule may be used to select a suitable evaluation statement from different evaluation dimensions according to the matching degree between the user work and the comparison criterion, that is, in this embodiment, an effect of generating comment information that automates the evaluation work according to different evaluation dimensions may be achieved based on the preset first evaluation rule. It should be noted that, in this embodiment, the comparison standard may be selected by the user according to the needs of the user, for example, when the method described in this embodiment is applied to a children programming scene, and at this time, the user work may be code information written for children, and at this time, the comparison standard may be a standard code corresponding to the code information. Of course, since the user works under different application scenarios are different, the comparison standard is also changed, and is not limited herein, and the comparison standard is selected according to actual needs.

Meanwhile, the number and the type of the evaluation dimensions included in the first evaluation rule are not limited herein, and may also be selected according to the application scenario of the method described in this embodiment, and the number of the evaluation sentences corresponding to each evaluation dimension may also be selected according to the requirements of the user.

For example, the evaluation dimensions may be: when overall evaluation and work explanation, the evaluation sentence that work explanation corresponds can include: the work explanation is perfect, the continuous effort is carried out, the work explanation is general, two more thoughts are needed, meanwhile, the work explanation is perfect, the corresponding matching degree of the continuous effort is over 70 percent, and the corresponding matching degree of the work explanation is general, and the more thoughts are needed, and is lower than 69 percent.

102. And evaluating the user works through a second evaluation rule to obtain scoring information.

The second evaluation rule comprises at least one scoring condition and a corresponding score, and the second evaluation rule is used for determining the corresponding score as the scoring information according to the scoring condition met by the user work.

After the comment information is obtained through the evaluation of the user works in the previous steps, the works can be scored based on a second evaluation rule. The scoring process may be evaluated according to scoring conditions in the second evaluation rule, and the scoring conditions may be selected based on the learning ability, age, and other types of the user. For example, when two scoring conditions are included in the second evaluation rule, one is a beginner and the other is a professional, it may be determined which scoring condition is suitable for the current user work before evaluation in this step.

Meanwhile, in the step, the process of evaluating the user works to obtain the score information may also be performed based on matching between the user works and a preset comparison standard, so as to determine the corresponding score according to the matching degree, and certainly, the process of generating the score information may also be performed in a manner of searching for target feature points from the user works, and the score of the user works may be determined based on the number of the target feature points, where the process of generating the score information includes but is not limited to the manner described above, and specifically, the score information may be selected based on a specific scene and in combination with the requirements of the user, and is not limited herein.

103. And generating an evaluation result according to the comment information and the grading information, and outputting the evaluation result.

After the comment information and the score information are determined, the comment and the score of the user work are determined at present, the comment and the score can be displayed to the user as an evaluation result, and the evaluation result can be used as a basis for producing the evaluation result and is output to the user. Certainly, in practical applications, the content output to the user includes, but is not limited to, the evaluation result, and may also output information related to other user works at the same time, for example, the evaluation result of the historical user work may be output together with the current evaluation result, so that the user can know the difference between the current evaluation result and the more direct understanding on the basis of the evaluation result of the current work, and the learning effect of the user is improved.

It should be noted that, in the above-mentioned scheme described in this embodiment, after the user work is obtained, it may also be determined whether the user work is correct through a preset analysis rule, when a major error exists, the work may be directly fed back to the user to enable the user to re-create, and the above-mentioned steps are executed when the user work is determined to be correct. Therefore, the method can be avoided that when the problem of the user work is serious, especially for scenes such as programming, and when the user programming work is an error code which cannot be executed, the user programming work does not need to be evaluated, and unnecessary resource occupation and consumption caused by the execution of subsequent steps are avoided.

Based on the above scheme, since the effect of automatically evaluating the user works according to the established rules is realized through the first evaluation rule and the second evaluation rule in the embodiment, compared with the conventional evaluation result generation mode, the method and the device can automatically generate the evaluation results for the user works based on the existing rules without manual intervention, and the problem of low efficiency in the process of generating the evaluation results in a manual mode is solved. Meanwhile, the evaluation process is carried out based on the first evaluation rule and the second evaluation rule, so that the generated comment information and the generated score information are evaluated and generated according to the set rules, the problem of large subjective influence in a manual mode can be avoided, and the accuracy of the evaluation result can be improved. In addition, in the evaluation process of the invention, because the evaluation information is determined by the evaluation sentences, and the evaluation sentences are selected according to the matching degree between the user works and the comparison standard and the evaluation dimension, the effect of automatically selecting the evaluation sentences according to the matching degree in the evaluation process is ensured, and because the evaluation sentences are preset, the problems of wrongly written characters, language diseases and the like which possibly exist when the evaluation is generated based on manual work are avoided, the accuracy of the evaluation information can be improved, the accuracy of the evaluation result is integrally improved, the requirement of repeatedly reading the evaluation result in a conventional generation mode can be avoided, and the generation efficiency of the evaluation result is further integrally improved.

In an optional embodiment, when the method of this embodiment is applied to a programming scenario, that is, the generation of the evaluation result is performed on a programming product obtained by programming, at this time, the user product includes the programming product, and the comparison criterion includes a preset regular expression and/or a preset programming product;

in the foregoing embodiment, in step 101, evaluating the user work through the first evaluation rule to obtain comment information, and when executing, the evaluating may include:

In this embodiment, the process of determining the matching degree between the programming product and the preset programming product or the regular expression may include an overall comparison and a partial comparison, where the overall comparison may be understood as performing an overall comparison between all contents in the programming product and all contents of the comparison standard, and certainly, in order to improve the comparison efficiency, since other contents may be included in the programming code besides the code of the necessary function, the comparison may also be performed from the partial contents in the user product, for example, a code corresponding to a knowledge point part may be determined from the user product according to a certain rule, and compared with a corresponding code of each knowledge point of the preset programming product, so as to obtain the matching degree. The matching degree can reflect the difference between the current user work and the comparison standard, and the comparison standard is a preset standard answer, so that the condition that the user work actually meets the evaluation dimension can be determined based on the matching degree. Based on this, the evaluation sentences corresponding to the matching degrees can be determined from each evaluation dimension, so as to obtain corresponding comment information.

Through the regular expression and/or the preset programming works, compared with the programming works, the generation effect of the evaluation result of the user works under the programming scene can be realized by obtaining the matching degree, and the matching degree can reflect the difference between the current user works and the standard answer, namely the comparison standard, so that the effect of automatically determining the evaluation statement under each evaluation dimension can be realized on the basis of the matching degree, and the accuracy of the obtained comment information can be ensured while the effect of automatically determining the comment information is realized.

In an optional embodiment, because the evaluation conditions of the user work are different in different evaluation dimensions in the evaluation process, in order to achieve the accuracy of determination of each evaluation statement in the evaluation process, at least one evaluation option can be set for each evaluation dimension, each evaluation option at least comprises one evaluation statement, the evaluation option is used for representing the degree of superiority and inferiority of the user work in the evaluation dimension, and the degree of superiority and inferiority of the evaluation option is positively correlated with the matching degree;

the foregoing step determines, from each of the evaluation dimensions, an evaluation statement corresponding to the matching degree, as the comment information, and specifically includes:

Because each evaluation dimension comprises a plurality of different evaluation options, and the evaluation options can reflect the advantages and disadvantages of the user works in the dimension based on the matching degree, the difference degree of the user works represented by the evaluation options reflected by each evaluation statement in each evaluation dimension can be obtained in the subsequent backtracking process.

In an alternative embodiment, there may be a need for the teacher to adjust the automatically generated evaluation information and evaluation result, so before the step 103 generates the evaluation result according to the comment information and the rating information in the foregoing embodiment, the method is shown in fig. 2, where the method further includes:

firstly, the comment information is displayed through a preset interactive interface. In the embodiment, the preset interactive interface includes a comment information display area, a user level control area and an evaluation dimension control area, and the evaluation dimension control area is used for modifying each evaluation option related to each evaluation dimension corresponding to the comment information. In this step, since there is a need to modify the evaluation result, especially modify the comment information, in order to implement this function, it is also necessary to display the comment information in the preset interactive interface first, and of course, in order to implement real-time adjustment and modification in the display process, it is also necessary to simultaneously display related information, for example, display the user level corresponding to the current user work in the user level control area, where the user level may be understood as being used to determine the current learning condition of the user. Of course, the present invention also relates to an evaluation dimension control area, where the evaluation dimension control area is used to display each evaluation dimension and the evaluation selection corresponding to each evaluation dimension, and in this embodiment, each evaluation option includes at least one evaluation statement, that is, when a user determines which evaluation option to select, the corresponding evaluation statement can be automatically obtained based on the evaluation selection.

Then, a comment adjustment instruction is received. The comment adjusting instruction comprises an evaluation statement to be modified in the comment information and a corresponding target evaluation option, the evaluation statement to be modified is determined after the modification option corresponding to the evaluation statement is triggered when the comment information is displayed, and the target evaluation option is used for replacing the evaluation statement to be modified. In this step, since the comment information is already displayed, and in order to adjust each comment statement in the comment information, a modification option may be added before or after each comment statement in the display process to determine which comment statement needs to be adjusted. Therefore, the evaluation statement to be modified can be determined by directly triggering the modification option in a visual condition by a user in the modification process, and the effect of generating the comment adjusting instruction intuitively and conveniently is achieved.

And finally, replacing the evaluation statement to be adjusted by the evaluation statement corresponding to the target evaluation option to obtain the revised comment information.

In the foregoing embodiment, the generating an evaluation result according to the comment information and the rating information in step 103 may include: and generating the evaluation result according to the corrected comment information and the grading information.

Based on the above scheme, in the embodiment, the comment information can be displayed based on the preset interactive interface, so that the effect that a teacher and other reviewers can automatically generate the comment information for the system to view and adjust can be ensured, the evaluation result generation method can be adjusted and modified as required by a user, and the correction and calibration functions are realized.

In an alternative embodiment, since there are learning abilities, differences in level between different users during the scoring process, e.g., the evaluation criteria between novice programmers and master-level programmers need to be adjusted appropriately, it is obviously not appropriate to evaluate novice programmers with the scoring rules of master-level programmers. Therefore, in order to implement a scoring scheme for different users according to local conditions, in this embodiment, the second evaluation rule may include at least one scoring rule;

in the foregoing embodiment, the evaluating the user work according to the second evaluation rule in step 102 to obtain the scoring information may include: and determining a corresponding scoring rule according to the user grade, and evaluating the user works according to the scoring rule to obtain the scoring information.

Therefore, the effect of grading by selecting the grading rules in corresponding modes according to different grades among users is ensured, and the problem of poor adaptability caused by the fact that the grading rules determine the grading information is solved.

In an optional embodiment, the process of selecting different scoring rules for evaluation according to different user ratings in the foregoing embodiment may be performed as follows, where the scoring rules include at least one evaluation dimension;

in the foregoing embodiment, the determining, according to the user rating, a corresponding scoring rule, and evaluating the user work according to the scoring rule to obtain the scoring information may be performed according to the following schemes, respectively, where the following schemes include:

on one hand, whether the user works meet preset scoring conditions of the evaluation dimension is determined;

and if so, matching the dimension elements corresponding to the evaluation dimensions to the user works to serve as the grading information, wherein the dimension elements are used for representing that the user works meet the requirements of the evaluation dimensions. In this embodiment, the dimension element may be understood as an identifier corresponding to different evaluation dimensions, and specifically may be a badge, that is, when it is determined which evaluation dimensions of the user's work meet the preset scoring conditions, the corresponding maintenance badge is matched for the user. Of course, the preset scoring condition in this embodiment may include a matching index of each evaluation dimension, and the preset scoring condition that the current user work is a composite evaluation dimension may be determined only if the matching index is reached.

By the method, whether the corresponding preset scoring condition is met or not can be determined according to each evaluation dimension, and the corresponding dimension elements are given when the preset scoring condition is met, so that the evaluation dimensions which the user works accord with can be visually embodied.

On the other hand, determining an evaluation score corresponding to each evaluation dimension according to the user work;

and generating the scoring information according to the evaluation score of each evaluation dimension, wherein the scoring information comprises the evaluation scores respectively corresponding to all the evaluation dimensions.

Specifically, the method can set the evaluation score as the evaluation star, that is, the user work can be evaluated in each evaluation dimension according to the method, so that the scoring condition of the user work in different evaluation dimensions is reflected, and the scoring effect of each dimension of the user work is displayed.

In yet another aspect, an evaluation score corresponding to each evaluation dimension is determined according to the user work;

In the aspect, the final evaluation grade is obtained based on the evaluation score of each evaluation dimension, namely the evaluation grade can be used for directly showing the overall situation of the user works, and particularly when the evaluation parties such as teachers and the like need to transversely compare the user works of each student at the same time, students with problems can be visually seen, and then the effect of teaching quality judgment can be improved.

It should be noted that the user level suitable for the method described in the above three aspects can be selected based on the actual needs for the user, including but not limited to the following ways, for example, when the programming level is divided into primary, intermediate and advanced levels, the method of the first aspect in this embodiment can be used as the main factor for evaluating whether the primary user or the user works thereof are "flash points", i.e. satisfied dimensional elements; for the medium-level user, the method of the second aspect may be adopted at this time, because the medium-level user needs to consider the difference of the capability levels of different dimensions to determine the short board and the shortage; for advanced users, the horizontal capability is better, and only the overall capability needs to be concerned, so the method of the third aspect can be adopted.

In an alternative embodiment, due to the large number of codes in the programming code, there may be a problem of consuming a lot of time if one-to-one comparison is performed, and due to the specificity of the codes, some codes are codes with certain functions or codes to be examined in some courses, so that the core code part and the basic code part are determined from the programming work. In this way, in the foregoing embodiment, in the process of determining the matching degree specifically based on the programming work, it may also be performed based on the core part of the programming work.

Based on this, the step of comparing the regular expression and/or the preset programming work with the programming work to obtain the matching degree includes:

firstly, a core code portion and a basic code portion are obtained from the programming work, wherein the core code portion is determined based on a programming course corresponding to the programming work, the core code portion is used for representing the investigation content corresponding to the programming course, and the basic code portion is code except the core code portion in the programming work. In this step, in this embodiment, the core code portion may be understood as the content of investigation of the corresponding programming course, that is, the code that needs to be grasped by the user, so that this portion of code may be determined as the core code portion, and the rest of code may be determined as the basic code portion. When the core code portion is obtained in this step, a code portion conforming to the content of investigation may be determined as the core code portion based on the code logic or the code structure of the programming work and according to the programming course.

Then, the core code part is compared with the regular expression and/or the preset programming work to obtain a first matching result. In this step, the matching result between the core code portion and the content of the portion corresponding to the core code portion can be determined by strictly comparing the preset programming product in the comparison process, and certainly, in this step, because the code may have a certain deformation condition under the condition that the core logic is not changed, the comparison can be performed based on the regular expression, so as to determine whether the logic of the core code portion is substantially the same as the core code portion, and thus determine the matching result. It should be noted that, in practical application, the matching method in the process of comparing the core code-based portion with the regular expression may be performed based on an existing matching method, which is not limited herein.

And simultaneously, comparing the basic code part with the preset programming work to obtain a second matching result. For the basic code part, the comparison can be directly carried out according to the corresponding codes of the preset programming works in the step, so that a comparison result, namely the second matching result is obtained.

And finally, determining the matching degree according to the first matching result and the second matching result. Since the first matching result and the second matching result are the matching results of the corresponding core code portion and the basic code portion, respectively, the matching degree of the programming product needs to be determined by combining the first matching result and the basic code portion. In addition, since the core code portion may be the most dominant portion in the evaluation process of the work, and the base code portion may not need to be evaluated in some cases, in this case, the matching degree may also be determined based on only the first matching result of the core code portion.

Based on the method, when the matching degree of the programming product is determined, the matching can be performed based on the core code part and the basic code part, so that the code part which needs to be mastered by a user and the code compiling capability of the rest parts can be determined, and a foundation is laid for determining the accuracy of the corresponding evaluation information based on the matching degree.

In an alternative embodiment, in the process of outputting the evaluation result to the user, since different user terminals have different content learning requirements, for example, a teacher may be more interested in the difference of the evaluation results among students to determine the teaching quality, and a parent may be more interested in the change between the evaluation result of the child and the historical evaluation result to determine whether the learning condition is progress or retreat. Based on this, in this embodiment, the evaluation results include a first evaluation result, a second evaluation result and a third evaluation result, where the first evaluation result is an evaluation result of the current user work of the first user, the second evaluation result is an evaluation result of the historical user work of the first user, and the third evaluation result is an evaluation result of the current user work of the second user. It should be noted that, in this embodiment, the second evaluation result may include a single evaluation result in the history of the first user, or may be multiple evaluation results, which is not limited herein. Meanwhile, in this embodiment, the second user may be a plurality of users different from the first user, for example, the first user may be xiaoming, and then the second user may be a plurality of users such as xiaojian, dui, queen, and the like.

On one hand, when it is required to output the capability change condition of the first user simultaneously in the process of outputting the evaluation result, before the step 103 outputs the evaluation result in the foregoing embodiment, the method further includes: and generating change evaluation information according to the first evaluation result and the second evaluation result, wherein the change evaluation information is used for representing the capability change of the first user.

The step 103 outputs the evaluation result, which may specifically be: and outputting the change evaluation information and the first evaluation result.

The change evaluation information is generated according to the current evaluation result of the first user and the historical evaluation result of the first user, so that the capability change condition of the first user can be reflected, the situation that the capability changes can be known while the user knows the evaluation condition of the current user work when the change evaluation information and the first evaluation are recorded and output together is ensured, the content output by the method in the embodiment is more comprehensive, and the user experience is improved.

On the other hand, before the step 103 outputs the evaluation result in the foregoing embodiment, the method further includes: and generating comparison and evaluation information according to the first evaluation result and the third evaluation result, wherein the comparison and evaluation information is used for representing the capability difference between the first user and the second user.

The step 103 outputs the evaluation result, which may specifically be: and outputting the comparison evaluation information, the first evaluation result and the third evaluation result.

The comparison and evaluation information is generated according to the evaluation result between the user works of the first user and the second user in the same batch, so that the difference between the first user and the second user in the same batch of works can be reflected, a teacher or other review terminals can know the learning effect between different users, and the teaching quality can be visually reflected.

On the other hand, before the step 103 outputs the evaluation result in the foregoing embodiment, the method further includes: and generating corresponding dimension display information according to each evaluation dimension according to the first evaluation result, wherein the dimension display information is used for representing the capability of the first user between each dimension.

The step 103 outputs the evaluation result, which may specifically be: and outputting the information according to the first evaluation result and the dimension display information.

The dimension display information can represent the condition of the user work in each evaluation dimension, so that the user can know the evaluation condition of the current user work based on the first evaluation result and the condition of the work in different dimensions, and the user can more intuitively know the quality condition of each evaluation dimension in the learning process.

Further, as an implementation of the method shown in fig. 1, an embodiment of the present invention further provides an evaluation result generating device, which is used for implementing the method shown in fig. 1. The embodiment of the apparatus corresponds to the embodiment of the method, and for convenience of reading, details in the embodiment of the apparatus are not repeated one by one, but it should be clear that the apparatus in the embodiment can correspondingly implement all the contents in the embodiment of the method. As shown in fig. 3, the apparatus includes: a first evaluation unit 31, a second evaluation unit 32 and a generation unit 33, wherein

The first evaluation unit 31 may be configured to obtain a user work, evaluate the user work through a first evaluation rule, and obtain comment information, where the first evaluation rule at least includes one evaluation dimension, each evaluation dimension includes at least one evaluation statement, and the first evaluation rule may be configured to select, according to a matching degree between the user work and a comparison standard, a corresponding evaluation statement as the comment information according to the evaluation dimension;

the second evaluation unit 32 may be configured to evaluate the user composition through a second evaluation rule to obtain score information, where the second evaluation rule includes at least one score condition and a corresponding score, and the second evaluation rule may be configured to determine a corresponding score according to a score condition that the user composition meets as the score information;

the generating unit 33 may be configured to generate an evaluation result from the comment information obtained by the first evaluating unit 31 and the score information obtained by the second evaluating unit 32, and output the evaluation result.

By means of the technical scheme, the embodiment of the invention provides an evaluation result generation method and an evaluation result generation device, and for the problem that a conventional evaluation result generation mode is generated based on a manual mode and has low generation efficiency, after a user work is obtained, the user work is firstly evaluated through a first evaluation rule to obtain comment information, then the user work is evaluated through a second evaluation rule to obtain grading information, finally an evaluation result is generated according to the comment information and the grading information, and the evaluation result is output, so that the generation function of the evaluation result of the user work is realized. Compared with the prior art, in the scheme, the first evaluation rule at least comprises one evaluation dimension, each evaluation dimension at least comprises one evaluation statement, the first evaluation rule is used for selecting the corresponding evaluation statement as the comment information according to the matching degree between the user work and the comparison standard and the evaluation dimension, the second evaluation rule comprises at least one grading condition and corresponding grading, and the second evaluation rule is used for determining the corresponding grading as the grading information according to the grading condition met by the user work, so that the effect of automatically evaluating the user work according to the set rule is realized through the first evaluation rule and the second evaluation rule, and compared with the conventional evaluation result generation mode, the method can automatically generate the evaluation result for the user work based on the existing rule, the problem of low efficiency in the process of generating the evaluation result in a manual mode is solved without manual intervention. Meanwhile, the evaluation process is carried out based on the first evaluation rule and the second evaluation rule, so that the generated comment information and the generated score information are evaluated and generated according to the set rules, the problem of large subjective influence in a manual mode can be avoided, and the accuracy of the evaluation result can be improved. In addition, in the evaluation process of the invention, because the evaluation information is determined by the evaluation sentences, and the evaluation sentences are selected according to the matching degree between the user works and the comparison standard and the evaluation dimension, the effect of automatically selecting the evaluation sentences according to the matching degree in the evaluation process is ensured, and because the evaluation sentences are preset, the problems of wrongly written characters, language diseases and the like which possibly exist when the evaluation is generated based on manual work are avoided, the accuracy of the evaluation information can be improved, the accuracy of the evaluation result is integrally improved, the requirement of repeatedly reading the evaluation result in a conventional generation mode can be avoided, and the generation efficiency of the evaluation result is further integrally improved.

The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. One or more than one kernel can be set, and the problem of low generation efficiency in the process of generating an evaluation result in a manual mode at present is solved by adjusting kernel parameters.

An embodiment of the present invention provides a storage medium on which a program is stored, the program implementing the method for generating the evaluation result when executed by a processor.

The embodiment of the invention provides a processor, which is used for running a program, wherein the method for generating the evaluation result is executed when the program runs.

An embodiment of the present invention provides an apparatus 40, as shown in fig. 4, the apparatus includes at least one processor 401, and at least one memory 402 and a bus 403 connected to the processor; the processor 401 and the memory 402 complete communication with each other through the bus 403; the processor 401 is configured to call program instructions in the memory to execute the above-mentioned method for generating the evaluation result.

The device herein may be a server, a PC, a PAD, a mobile phone, etc.

The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a flow management device: obtaining a user work, evaluating the user work through a first evaluation rule to obtain comment information, wherein the first evaluation rule at least comprises one evaluation dimension, each evaluation dimension at least comprises one evaluation statement, the first evaluation rule is used for selecting a corresponding evaluation statement as the comment information according to the matching degree between the user work and a comparison standard and the evaluation dimension, and evaluating the user work through a second evaluation rule to obtain grading information, the second evaluation rule comprises at least one grading condition and a corresponding grade, and the second evaluation rule is used for determining the corresponding grade as the grading information according to the grading condition met by the user work; and generating an evaluation result according to the comment information and the grading information, and outputting the evaluation result.

Further, the user works comprise programming works, and the comparison standard comprises a preset regular expression and/or a preset programming work;

Furthermore, each evaluation dimension at least comprises an evaluation option, each evaluation option at least comprises one evaluation statement, the evaluation option is used for representing the goodness and badness of the user work under the evaluation dimension, and the goodness and badness of the evaluation option is positively correlated with the matching degree;

Further, before generating an evaluation result according to the comment information and the scoring information, the method further includes:

Further, the second evaluation rule comprises at least one scoring rule;

Further, the scoring rule comprises at least one evaluation dimension;

or,

Further, the evaluation result includes a first evaluation result, a second evaluation result and a third evaluation result, where the first evaluation result is an evaluation result of a current user work of the first user, the second evaluation result is an evaluation result of the historical user work of the first user, and the third evaluation result is an evaluation result of a current user work of the second user;

before the outputting the evaluation result, the method further comprises:

the outputting of the evaluation result comprises:

outputting the change evaluation information and a first evaluation result;

and/or the presence of a gas in the gas,

before the outputting the evaluation result, the method further comprises:

the outputting of the evaluation result comprises:

and/or the presence of a gas in the gas,

before the outputting the evaluation result, the method further comprises:

the outputting of the evaluation result comprises:

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable flow management apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable flow management apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a device includes one or more processors (CPUs), memory, and a bus. The device may also include input/output interfaces, network interfaces, and the like.

The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip. The memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method for generating an evaluation result, comprising:

2. The method of claim 1, wherein the user work comprises a programming work, and the comparison criteria comprises a preset regular expression and/or a preset programming work;

3. The method according to claim 2, wherein each of the evaluation dimensions comprises at least one evaluation option, each of the evaluation options comprises at least one evaluation statement, the evaluation options are used for characterizing the degree of goodness and badness of the user work in the evaluation dimension, and the degree of goodness and badness of the evaluation options is positively correlated with the degree of matching;

4. The method of claim 3, wherein prior to said generating an assessment result based on said comment information and said scoring information, said method further comprises:

5. The method of claim 1, wherein the second evaluation rule comprises at least one scoring rule;

6. The method of claim 5, wherein the scoring rules include at least one evaluation dimension;

or,

7. The method according to claim 2, wherein the comparing the regular expression and/or the preset programming work with the programming work to obtain a matching degree comprises:

8. The method of any of claims 1-7, wherein the evaluation results include a first evaluation result, a second evaluation result, and a third evaluation result, wherein the first evaluation result is an evaluation result of a current user work of a first user, the second evaluation result is an evaluation result of a historical user work of the first user, and the third evaluation result is an evaluation result of a current user work of a second user;

before the outputting the evaluation result, the method further comprises:

the outputting of the evaluation result comprises:

outputting the change evaluation information and a first evaluation result;

and/or the presence of a gas in the gas,

before the outputting the evaluation result, the method further comprises:

the outputting of the evaluation result comprises:

and/or the presence of a gas in the gas,

before the outputting the evaluation result, the method further comprises:

the outputting of the evaluation result comprises:

9. An evaluation result generation device, comprising:

10. A storage medium characterized by comprising a stored program, wherein a device on which the storage medium is located is controlled to execute the evaluation result generation method according to any one of claims 8 to 7 when the program runs.

11. An apparatus comprising at least one processor, and at least one memory, bus connected to the processor; the processor and the memory complete mutual communication through the bus; the processor is used for calling the program instructions in the memory and executing the evaluation result generation method according to any one of claims 1 to 8.