CN117473362A - Score self-query system and method - Google Patents
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention provides a score self-query system and a method, comprising the following steps: module M1: testing the Chinese of the examinee by using a Chinese examination system; module M2: grading and grading the test result by combining the effective standard reference and the normal mode reference; module M3: and providing performance analysis and report according to school management layer, teacher teaching and student personalized feedback.
Description
Technical Field
The invention relates to the technical field of examination systems, in particular to a score self-query system and a score self-query method.
Background
In traditional chinese exams, the main disadvantage of standard association testing is the lack of a unified, well-recognized chinese course or capability framework. Similarly, the chinese subject examination criteria including IGCSE (International General Certificate of Secondary Education), IB (International Baccalaureate) and AP (Advanced Placement), which are attended by non-native language learners, are also each of great importance. On the other hand, the english educational system that has entered K12 conventional education for many years is more mature. The chinese learner's starting point is jagged, which means that it is difficult to construct a standard with age or grade as a common mode reference test by statistical sampling.
Patent document CN102521322a (application number: 201110396667.4) discloses a performance query system comprising: the system comprises a teacher operation module, a website module and a personal operation module which are communicated in sequence, wherein the teacher operation module comprises a teacher login module and a score uploading module, the personal operation module comprises a personal login module and a score downloading module, the website module comprises a verification module, a score receiving module, a score storage module, a display module and a score sending module, the teacher login module is communicated with the verification module, the score uploading module is communicated with the score receiving module, and the score downloading module is communicated with the score sending module.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a score self-query system and a score self-query method.
The achievement self-query system provided by the invention is characterized by comprising the following components:
module M1: testing the Chinese of the examinee by using a Chinese examination system;
module M2: grading and grading the test result by combining the effective standard reference and the normal mode reference;
module M3: and providing performance analysis and report according to school management layer, teacher teaching and student personalized feedback.
Preferably, the calibration reference is a comparison of the test results with a fixed standard or reference to determine score and grade;
the normal mode reference is to compare the test result with the test result of the preset number of testees to determine the position and the level of the test result in the whole distribution.
Preferably, the module M2 employs: aiming at the requirements of a school management layer, providing integral student distribution analysis; comprising the following steps: the Chinese level distribution, the pass rate and the excellent rate of students in different grades and classes help a school management layer to know the whole performance of Chinese teaching.
Preferably, the module M2 employs: aiming at the teaching requirement of teachers, providing teaching suggestions according to the background information of students; and analyzing the performance of the students in the mother language and the non-mother language on different Chinese knowledge points and skills, and comparing the performance differences among different students.
Preferably, the module M2 employs: providing personalized diagnosis instructions and subsequent learning suggestions for the needs of the student individuals; the method comprises the steps of analyzing the performance of students in different error types according to the performance of the students, establishing a longitudinal growth curve, making personalized learning plans and suggestions for the students, helping the students to improve learning effect and effectively conduct home-school communication.
The achievement self-query method provided by the invention comprises the following steps:
step S1: testing the Chinese of the examinee by using a Chinese examination system;
step S2: grading and grading the test result by combining the effective standard reference and the normal mode reference;
step S3: and providing performance analysis and report according to school management layer, teacher teaching and student personalized feedback.
Preferably, the calibration reference is a comparison of the test results with a fixed standard or reference to determine score and grade;
the normal mode reference is to compare the test result with the test result of the preset number of testees to determine the position and the level of the test result in the whole distribution.
Preferably, the module M2 employs: aiming at the requirements of a school management layer, providing integral student distribution analysis; comprising the following steps: the Chinese level distribution, the pass rate and the excellent rate of students in different grades and classes help a school management layer to know the whole performance of Chinese teaching.
Preferably, the module M2 employs: aiming at the teaching requirement of teachers, providing teaching suggestions according to the background information of students; and analyzing the performance of the students in the mother language and the non-mother language on different Chinese knowledge points and skills, and comparing the performance differences among different students.
Preferably, the module M2 employs: providing personalized diagnosis instructions and subsequent learning suggestions for the needs of the student individuals; the method comprises the steps of analyzing the performance of students in different error types according to the performance of the students, establishing a longitudinal growth curve, making personalized learning plans and suggestions for the students, helping the students to improve learning effect and effectively conduct home-school communication.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the invention, a school, teacher and student personal interaction mode is adopted to present rich school district, class and personal achievement report charts, so that the problem that achievement data are limited to be applied in teaching due to the fact that school leaders and teachers mostly do not have professional data analysis capability is solved;
2. according to the invention, a mixed definition mode of Chinese scores is adopted, and by combining an effective standard reference and a normal standard reference, a learner can clearly know the standard level requirement level of a Chinese course where the learner is located, and can also know that the learner is at the percentile level in the level; the method not only can evaluate the Chinese ability level of the learner more accurately, but also can provide more specific reference standard to help the learner to better know the learning progress condition of the learner.
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Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, given with reference to the accompanying drawings in which:
FIG. 1 is a flow chart of a method of score self-query.
Fig. 2 is a flowchart of a chinese examination system.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the present invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications could be made by those skilled in the art without departing from the inventive concept. These are all within the scope of the present invention.
Example 1
According to the invention, as shown in fig. 1 to 2, a score self-query method comprises the following steps:
step S1: testing the Chinese of the examinee by using a Chinese examination system;
step S2: grading and grading the test result by combining the effective standard reference and the normal mode reference;
step S3: and providing performance analysis and report according to school management layer, teacher teaching and student personalized feedback.
The invention scores and classifies the test result by fully combining the two modes of effective standard reference and normal mode reference. The validity standard refers to that the test result is compared with a fixed standard or reference, for example, the standard of a driving license examination is that the driving of a car can be carried out, so that the score and the grade are determined. The normal mode reference is then used to determine the location and level of the test results in the overall distribution by comparing the test results to the results of a large number of subjects.
The report provides an overall student distribution analysis for the needs of the school management layer. The method comprises the steps of distributing Chinese grades, passing rate, excellent rate and the like of students in different grades and classes, so that a school management layer is helped to know the whole performance of Chinese teaching, and references are provided for formulating education policies.
The report provides comparison and subsequent teaching advice based on the background information of the student for the teacher's teaching needs. The method comprises the steps of analyzing the performances of students in the mother language and non-mother language on different Chinese knowledge points and skills, comparing the performance differences among different students, finding out problems in teaching, and providing subsequent teaching suggestions to help teachers improve the teaching quality.
The report provides personalized diagnostic instructions and follow-up learning advice for the needs of the student individual. The method comprises the steps of analyzing the performance of the students in different error types according to the performance of the students, establishing a longitudinal growth curve, making personalized learning plans and suggestions for the students, helping the students to improve learning effect and effectively conduct home-school communication.
The Chinese examination system comprises: a server, a client, and a data transmission network;
the client is terminal equipment of Chinese examination;
the server provides database service for Chinese examination, comprising: a test question information database; the test question information database comprises an adaptive module question library and a diagnosis module question library;
the data transmission network is connected with the server and the client and used for guaranteeing data transmission between the server and the client;
when a Chinese examination is entered, the server pushes the adaptive module question library of the corresponding level according to the examinee information provided by the client, the client transmits the corresponding answer condition to the server, and the server judges the difficulty level of the next round of test questions for the answer condition provided by the client and pushes the answer condition to the client until the error rate of the answer condition of the adaptive module question library of the current level meets the preset condition; obtaining the Chinese level of the current examinee; the server pushes a diagnosis module question library corresponding to the current examinee grade to the client, and the client feeds back corresponding answer conditions to the server; and the server performs Chinese capability diagnosis according to the answering condition.
Specifically, the server pushes the font version of the test questions according to the examination font selected by the client.
Specifically, the server pushes the adaptive module question library of the corresponding level according to the examinee information provided by the client, the server judges the answer situation provided by the client, and when the accuracy rate reaches the preset requirement, the server pushes the adaptive module question library of the higher level to the client; when the accuracy rate does not reach the preset requirement, the Chinese level of the current examinee is obtained; and continuing pushing the diagnosis module question library of the current Chinese level to the client.
Specifically, the server pushes the adaptive module question library of the corresponding level according to the factors of the examinee information provided by the client, such as gender, age, academic, language background and the like. The server dynamically selects test questions with proper difficulty according to answer conditions of the examinees, and the test questions are used for evaluating Chinese capability levels of the examinees in multiple dimensions, including speech, hearing, reading, writing and the like. If the answer accuracy of the examinee reaches the preset requirement, the server pushes the higher-level self-adaptive module question library to the client according to the performance of the examinee so as to further evaluate the ability of the examinee. If the answer accuracy of the examinee does not reach the preset requirement, the server can obtain the Chinese level of the current examinee and continuously push the diagnosis module question bank of the current Chinese level to the client.
The test question information database is divided into a self-adaptive module question database and a diagnosis module question database; judging the Chinese grade of the current examinee based on the self-adaptive module question library; judging the Chinese capability of the current examinee under the current Chinese grade based on the diagnosis module question library, wherein the method comprises the following steps: listening, speaking, reading and writing capabilities.
Specifically, the invention provides an application method of a multi-dimensional adaptive model in Chinese testing, so as to realize combination of multiple dimension scores and accurate analysis of multiple sub-capabilities.
The test question information database is divided into an adaptive module question library and a diagnosis module question library, wherein the adaptive module question library comprises questions with multiple dimensions, such as hearing, spoken language, reading, writing and the like, and the diagnosis module question library comprises questions for carrying out capability diagnosis on an examinee.
And judging the Chinese grade of the current examinee through an adaptive algorithm according to the question library of the adaptive module. The self-adaptive algorithm can automatically adjust the difficulty coefficient according to the answer condition of the examinee so as to achieve the optimal test effect.
And diagnosing the Chinese capability under the current Chinese level according to the question library of the diagnosis module, wherein the Chinese capability comprises listening, speaking, reading and writing capabilities. The diagnosis module question library comprises questions with multiple dimensions, and the questions correspond to the questions in the self-adaptive module question library.
The scores of the examinees in all dimensions are combined into a total score so as to comprehensively evaluate the Chinese ability of the examinees.
Through a multi-dimensional self-adaptive model, the performances of the examinees on each sub-capability are accurately analyzed to find out the advantages and disadvantages of the examinees. For insufficient sub-capabilities, relevant learning suggestions and resources can be provided to assist the test taker in further improvement. Meanwhile, the Chinese capability of the examinee can be comprehensively evaluated, and meanwhile, accurate analysis and suggestion are provided, so that the examinee can learn in a targeted manner aiming at the defects of the examinee, and the Chinese capability level of the examinee is improved.
Specifically, the differentiation, test credibility and effectiveness of each question are analyzed, and the questions meeting the preset requirements are included in the self-adaptive module question library.
More specifically, screening a test question information database based on the factors including the effectiveness degree, the discrimination D value, the project-total score correlation coefficient and the integral credibility Cronbach's alpha coefficient to obtain an adaptive module question library meeting preset requirements; judging the Chinese grade of the current examinee based on a Chinese diagnosis system by using the screened self-adaptive module question library;
the effectiveness is a statistical index for evaluating the relativity and consistency of the questions with the subject knowledge and capability standard;
the discrimination D value is a statistical index for evaluating the discrimination degree of each observation item in the measuring tool;
the item-total score correlation coefficient is an index for measuring the relation between each question and the total score in an examination or test;
the confidence Cronbach's alpha coefficient is a statistical indicator for evaluating the internal consistency of the measurement.
Specifically, the validity is to analyze the test question reaction and the test paper credibility.
Specifically, the discrimination force D value employs:
step S11.1: ranking the subjects according to the test score from top to bottom, and screening the first n subjects as the best performing subjects, and the last n subjects as the worst performing subjects;
step S11.2: calculating average scores for the best performing subjects and the worst performing subjects, respectively, and calculating a gap between the two;
step S11.3: calculating the standard deviation of a certain question;
step S11.4: dividing the calculated difference between the two by the standard deviation to obtain a discrimination D value;
step S11.5: and deleting the current title when the discrimination D value is smaller than the preset value.
Specifically, the item-total score correlation coefficient employs:
step S12.1: normalizing each subject score and total score for each subject;
step S12.2: calculating covariance between each topic score and the total score;
step S12.3: calculating standard deviation of each topic score and total score;
step S12.4: dividing the calculated covariance by the product of the calculated standard deviation to obtain a project-total score correlation coefficient;
step S12.5: and deleting the current item when the correlation coefficient of a certain item is lower than a preset value.
Specifically, the confidence coefficient Cronbach's alpha coefficient adopts:
wherein K represents the number of test questions; sigma (sigma) 2 i Representing the variance of each test topic score; sigma (sigma) 2 Representing the total variance of the score of the whole examination;
when the Cronbach's alpha coefficient is smaller than the preset value, screening the test question information database again based on the effectiveness degree, the discrimination D value and the item-total score correlation coefficient until the Cronbach's alpha coefficient is larger than the preset value.
The self-adaptive module question library based on the Chinese diagnosis system judges the Chinese grade of the current examinee by adopting:
step S22.1: based on topics in the topic library of the self-adaptive module, performing natural language processing on the topics to extract keywords and sentences;
step S22.2: checking the quality of the questions by using a prompt project, and judging the difficulty and the quality of the questions;
step S22.3: and carrying out intelligent grading on the questions according to the auditing result, and distributing the questions to the corresponding difficulty grades.
Specifically, a natural language processing technology is adopted, and a language corpus is combined to generate a prompting word list containing keywords and prompting sentence patterns; in the examination stage of the quality of the questions, automatically analyzing keywords and sentences in the questions, matching with a prompt word list, and judging the difficulty and quality of the questions; in the intelligent grading stage, topics are distributed to corresponding difficulty levels according to the auditing result, so that the number of the topics in each difficulty level is uniformly distributed, and the difficulty level distribution of the topics is ensured to be uniform.
Based on the self-adaptive module question library and the prompt word list, and combining with a Chinese language ability growth curve, a value-added evaluation and a longitudinal growth model, each question is intelligently rated, and the language ability level and the corresponding score value to which the question belongs are determined. And carrying out weighted summation on the score values of the multiple dimensions to obtain the total score of the examinee on the Chinese language capability. Meanwhile, through the accurate analysis of a plurality of sub-capacities, detailed missolution analysis, evaluation report and personalized learning advice are provided for examinees. The invention realizes the quality audit and intelligent grading of the self-adaptive module question library, provides a more scientific and accurate evaluation system for Chinese test, and has higher practical value and wide application prospect.
Meanwhile, the server pushes a classical measurement theoretical model and a project response theoretical model to the client based on the self-adaptive module question library, the client feeds corresponding answer conditions back to the server, and the server judges the Chinese grade of the current examinee according to the answer conditions. Under the classical measurement theory framework, each difficulty level is matched with the course target content, the error rate of each level is calculated relatively independently, and the levels are increased step by step. Under the framework of a project reaction theoretical model, all the difficulties of questions are subjected to equivalent treatment to form a unified question bank. And (5) repeatedly presenting questions with different difficulties in the specific answering process, and judging the level according to the final score result. The two sets of calculation logic are deployed in different link entries respectively and are called according to the needs of users.
Specifically, the server counts answer scores and error options of the examinees, performs error attribution, and generates corresponding Chinese level, real-time ranking and capability description reports.
Specifically, the server counts answer scores and wrong options of the examinees in the process of performing multidimensional self-adaptive test, and performs wrong attribution on the wrong options so as to evaluate the Chinese capability level of the examinees in different dimensions. By analyzing the test taker's performance of the answer, the server generates a corresponding Chinese-level horizontal report detailing the test taker's performance of the ability in different Chinese dimensions. Meanwhile, the server generates a real-time ranking according to the performances of the examinees in the test, so that the examinees can perform self-evaluation and comparison. The server also generates capacity description reports for providing detailed assessment results and suggestions to the test takers and teachers, helping them to formulate more targeted learning plans and teaching schemes. In order to improve the accuracy and reliability of the evaluation, the server comprehensively analyzes and mines the test data, and adopts various statistical methods and data mining technologies to find out more deep rules and features. Through the analysis and the mining, the server can evaluate the Chinese capability of the examinee more accurately, comprehensively and individually, and provide more targeted learning and teaching suggestions.
Specifically, attribute tags are added to the test question information database in the Chinese capability diagnosis system, and error attribution is analyzed based on the attribute tags while the Chinese capability is diagnosed.
More specifically, defining the vocabulary types and the error types of the vocabulary capability indexes according to the theory of Chinese language, and taking the defined vocabulary types and the error types of the vocabulary capability indexes as a linguistic attribute tag library; and labeling the multi-dimensional linguistic attribute tags on the stem and the options of the questions in the test question information database based on the linguistic attribute tag library, thereby establishing a test question information database with the linguistic attribute tags.
The vocabulary types include:
according to the application context, academic vocabulary and non-academic vocabulary are included, and the attribute label is "Purpose";
the part of speech includes real words and imaginary words; the real words comprise nouns, verbs, adjectives and adjectives; the term comprises adverbs, prepositions and conjunctions, and the attribute label is POS part of speech;
the error types of the vocabulary capability label comprise: error types of vocabulary ability sound, error types of vocabulary ability shape, error types of vocabulary ability meaning;
the error types of the vocabulary ability sound comprise: tone errors, spelling rule errors, and polyphonic confusion, see attribute label "error recommended error option diagnostic description";
the error types of the vocabulary capability shape include: stroke order errors, frame structure errors and additional missing strokes, see attribute label "error recommended error option diagnostic description";
the error types of the word capability sense include: the confusion of the hyponyms, the confusion of the polysemous words and the misuse of the words can be seen as attribute labels of "antisense", "homonym", "polysemous", "near-meaning", "collocation", "homogeneous" and "optimal".
More specifically, attribute tag chinese-english contrast:
item number; n number of samples; a P difficulty value; d, identifying coefficients; corr I-T correlation; dalpha deletes Alpha; differences in DifClass native language project functions; difCurliculum course project functional differences; difGender sex program functional differences; an ItemSerialNumber question bank sequence; a SkillStandard capability index; a Vocabullary target Vocabulary; POS part of speech; level word Level; instructions question; a sub-capability vocabulary capability type; a StemFormat stem format; an OptionFormat option format; stem; rightOptions correct; error options; use of purose; rightmechanism correct option diagnostic description; an error recommended error option diagnostic description;
generating a radar chart of each vocabulary capacity according to the scoring condition of the topic attribute tag; and generating a diagnosis report with detailed vocabulary capacity according to the selected options in the questions and the attribute labels corresponding to the options.
The invention utilizes artificial intelligence technology, and can accurately determine the weak item and error type of the examinee in terms of Chinese ability by analyzing the answer condition of the examinee, thereby providing corresponding teaching advice and guidance. Specifically, by analyzing the answer condition of the examinee, the error types of the examinee in terms of Chinese capability, including grammar errors, vocabulary errors, semantic errors and the like, can be automatically diagnosed, and attribution analysis is performed on the errors to determine the cause of the errors. Meanwhile, the technology can analyze the scoring condition of the examinee in terms of different knowledge points and skills, diagnose the weak term of the examinee in terms of Chinese ability and provide corresponding teaching advice and guidance.
The implementation of this technique relies on artificial intelligence techniques such as deep learning, natural language processing, and the like. By establishing a large-scale Chinese corpus and a Chinese capability diagnosis model and analyzing the answer condition of the examinee by using a deep learning technology, the error type and the error cause can be rapidly and accurately determined. Meanwhile, the technology can also analyze the scoring condition of the examinee in terms of different knowledge points and skills, and through the analysis of the scoring condition, the weakness of the examinee in terms of Chinese ability can be diagnosed and corresponding teaching suggestions and guidance can be provided.
Specifically, the answer score and the error options of all examinees are counted, and a score report which takes class and whole school as units is automatically generated.
The invention has a plurality of advantages in Chinese language test, not only can improve the accuracy and efficiency of the test, but also can carry out personalized evaluation according to the background information of the subject and the test purpose, thereby realizing more comprehensive and effective measurement of the Chinese language level of the learner.
Those skilled in the art will appreciate that the systems, apparatus, and their respective modules provided herein may be implemented entirely by logic programming of method steps such that the systems, apparatus, and their respective modules are implemented as logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers, etc., in addition to the systems, apparatus, and their respective modules being implemented as pure computer readable program code. Therefore, the system, the apparatus, and the respective modules thereof provided by the present invention may be regarded as one hardware component, and the modules included therein for implementing various programs may also be regarded as structures within the hardware component; modules for implementing various functions may also be regarded as being either software programs for implementing the methods or structures within hardware components.
The foregoing describes specific embodiments of the present invention. It is to be understood that the invention is not limited to the particular embodiments described above, and that various changes or modifications may be made by those skilled in the art within the scope of the appended claims without affecting the spirit of the invention. The embodiments of the present application and features in the embodiments may be combined with each other arbitrarily without conflict.
Claims (10)
1. A performance self-querying system, comprising:
module M1: testing the Chinese of the examinee by using a Chinese examination system;
module M2: grading and grading the test result by combining the effective standard reference and the normal mode reference;
module M3: and providing performance analysis and report according to school management layer, teacher teaching and student personalized feedback.
2. The achievement self-querying system of claim 1, wherein the calibration reference is a comparison of test results with a fixed standard or reference to determine score and grade;
the normal mode reference is to compare the test result with the test result of the preset number of testees to determine the position and the level of the test result in the whole distribution.
3. The achievement self-querying system according to claim 1, wherein the module M2 employs: aiming at the requirements of a school management layer, providing integral student distribution analysis; comprising the following steps: the Chinese level distribution, the pass rate and the excellent rate of students in different grades and classes help a school management layer to know the whole performance of Chinese teaching.
4. The achievement self-querying system according to claim 1, wherein the module M2 employs: aiming at the teaching requirement of teachers, providing teaching suggestions according to the background information of students; and analyzing the performance of the students in the mother language and the non-mother language on different Chinese knowledge points and skills, and comparing the performance differences among different students.
5. The achievement self-querying system according to claim 1, wherein the module M2 employs: providing personalized diagnosis instructions and subsequent learning suggestions for the needs of the student individuals; the method comprises the steps of analyzing the performance of students in different error types according to the performance of the students, establishing a longitudinal growth curve, making personalized learning plans and suggestions for the students, helping the students to improve learning effect and effectively conduct home-school communication.
6. A method for automatically querying achievements, comprising:
step S1: testing the Chinese of the examinee by using a Chinese examination system;
step S2: grading and grading the test result by combining the effective standard reference and the normal mode reference;
step S3: and providing performance analysis and report according to school management layer, teacher teaching and student personalized feedback.
7. The performance self-query method of claim 6, wherein said calibration reference is a comparison of test results with a fixed standard or reference to determine score and grade;
the normal mode reference is to compare the test result with the test result of the preset number of testees to determine the position and the level of the test result in the whole distribution.
8. The achievement self-query method according to claim 6, characterized in that the module M2 employs: aiming at the requirements of a school management layer, providing integral student distribution analysis; comprising the following steps: the Chinese level distribution, the pass rate and the excellent rate of students in different grades and classes help a school management layer to know the whole performance of Chinese teaching.
9. The achievement self-query method according to claim 6, characterized in that the module M2 employs: aiming at the teaching requirement of teachers, providing teaching suggestions according to the background information of students; and analyzing the performance of the students in the mother language and the non-mother language on different Chinese knowledge points and skills, and comparing the performance differences among different students.
10. The achievement self-query method according to claim 6, characterized in that the module M2 employs: providing personalized diagnosis instructions and subsequent learning suggestions for the needs of the student individuals; the method comprises the steps of analyzing the performance of students in different error types according to the performance of the students, establishing a longitudinal growth curve, making personalized learning plans and suggestions for the students, helping the students to improve learning effect and effectively conduct home-school communication.
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