CN113918588A - Wrong question dynamic intelligent management system based on knowledge points - Google Patents
Wrong question dynamic intelligent management system based on knowledge points Download PDFInfo
- Publication number
- CN113918588A CN113918588A CN202111344317.3A CN202111344317A CN113918588A CN 113918588 A CN113918588 A CN 113918588A CN 202111344317 A CN202111344317 A CN 202111344317A CN 113918588 A CN113918588 A CN 113918588A
- Authority
- CN
- China
- Prior art keywords
- wrong
- evaluation
- questions
- question
- error
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/23—Updating
- G06F16/2379—Updates performed during online database operations; commit processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
Abstract
The invention discloses a wrong question dynamic intelligent management system based on knowledge points, which comprises a scanning unit, a wrong question database and a man-machine interaction terminal, wherein the scanning unit is used for different students to extract wrong questions printed or written on a paper carrier and convert the wrong questions into electronic file wrong questions, the wrong question database is used for storing the electronic file wrong questions, and the man-machine interaction terminal is characterized by also comprising: the system comprises a test question classification analysis module, a knowledge point statistic module, an evaluation module and an evaluation database. The method can generate the test paper based on the knowledge points of the wrong questions, and finally eliminates and increases the wrong questions in the wrong question database through the answering results of the test paper so as to realize the real-time dynamic update of the wrong question database, thereby ensuring that the wrong questions recorded in the wrong question database can faithfully reflect the current error-prone knowledge point conditions of students.
Description
Technical Field
The invention belongs to the technical field of teaching auxiliary management, and particularly relates to a wrong question dynamic intelligent management system based on knowledge points.
Background
The word of 'wrong question management' was originally proposed and used by the professor of Liu Ru De of Beijing university of China. The problem solving ability and the learning strategy of students can be improved through problem error management, and meanwhile, teacher teaching and school knowledge management can be promoted. However, he does not give a clear definition of "error management". The concept of error question management in the thesis of the scholars, Sun Guizhen, is that the students can know the value of the error questions, have positive management attitude for the error questions, adopt a certain method or strategy, and record, analyze, classify and practice the error questions, thereby realizing the purposes of mastering knowledge and improving the learning achievement.
In the traditional wrong question management, students often use hands to copy wrong questions, and respectively copy and record question stems, answers, knowledge points and the like on a book by using pens with different colors for management, but a large amount of time is wasted; or the wrong questions in the test paper are cut and pasted on the book, but the wrong questions are easy to lose; whichever of the above approaches is taken, it is not convenient for students to classify, utilize and manage all collected wrong questions for a long time. In addition, the traditional wrong question management is usually only aimed at students and depends on the attention degree and the consciousness of the students; for teachers, the teachers only play a role in supervising students to perform wrong question management; moreover, because of the difference of individual learning conditions, the students have different mastery conditions on each subject and different knowledge points, so that the number of collected wrong questions and the difference of the questions are large, and the influence of the wrong question management method and the intuition of each student is limited, and teachers lack effective means to effectively manage and utilize the wrong questions of all students, and cannot fully utilize wrong question resources of the students to purposefully teach and guide the students. Therefore, it is a big problem to be solved in the prior art that how to efficiently manage the problems with limited time, regardless of students or teachers. With the continuous development and application of the network information technology in teaching, although numerous education software is provided with the function of wrong question collection, the function is simple, only the electronic collection of wrong questions can be realized, and the function is limited.
In order to solve the above problems, some technical solutions based on problem management are also disclosed in the prior art, for example, a chinese patent (application No. 2015106461720) discloses a problem management method and system. The method comprises the following steps: acquiring a picture of a wrong question; performing character recognition on the picture to acquire keywords of the wrong question; matching the test questions in the cloud question bank by using the keywords; if the same or similar test questions are matched, inputting the test questions into an electronic wrong question bank; and if no matched test questions exist, the wrong questions are fed back to the background server, and the background server records the wrong questions into the electronic wrong question bank. According to the technical scheme, the wrong question picture is subjected to character recognition, the keywords of the wrong question are utilized, the wrong question is recorded into the electronic wrong question book from the cloud question bank or the background server, the wrong question recording efficiency is improved, and classification, sorting and review recommendation of the wrong question are facilitated.
For another example, the chinese patent (application No. 2018105774543) discloses an error book with electronic information, which includes an error book and a management system, the error book with electronic information is combined with an error APP to solve the problem of the error book and the error APP, the error book mainly has the functions of completing the collection of error questions and the use in class, the error management system is used to electronically manage the error questions on the error book, so as to facilitate the review, the error processing module of the management system can automatically identify the question stem and correct solution, without manual secondary operation, the user only needs to enter the error record through the error input module, thereby greatly saving time and improving efficiency.
In the above-mentioned patent technical solutions, the collection and arrangement of the wrong questions are mainly efficient, so as to facilitate the management, review and practice of the wrong questions by students and teachers, but none of them provides an effective way for how to consolidate or practice the error-prone knowledge points by fully utilizing the collected wrong questions.
In addition, chinese patent (application No. 201810825456X) discloses a wrong question management method, including: receiving the uploaded wrong question image; performing character recognition on the wrong question image to obtain a keyword of the wrong question; obtaining related titles by using the keywords, wherein the related titles comprise the original questions of the wrong image and the titles with similar original questions of the wrong image; and grouping the related topics. By the wrong question management method, files aiming at the knowledge points which are lacked by the user can be quickly pushed to the user, the learning efficiency of students is improved, and the teaching burden of teachers is reduced.
Chinese patent (application No. 2017111838406) discloses a wrong question management method and device, the wrong question management method includes: receiving a wrong question image uploaded by a first client; receiving a matching instruction sent by a second client, and matching the original question of the wrong question image based on a preset matching model by adopting an image recognition technology according to the matching instruction; receiving a paper-assembling instruction sent by the second client, and assembling the original questions according to the paper-assembling instruction to generate wrong test papers; and sending the wrong test paper to the first client. By the method, the students can feed back the wrong questions to the teachers in time, and the teachers can know the wrong questions made by the students in time; meanwhile, teachers and students can obtain clear and editable wrong test papers with high reliability, and wrong questions can be better arranged.
The above-mentioned patent technical solutions all provide an effective way to consolidate or practice error-prone knowledge points by fully utilizing the collected error questions, that is, to consolidate or practice error-prone questions by generating error question test paper based on the collected error questions or related error questions. Generally, the content examined by the test questions at least comprises one knowledge point, and some test questions combine a plurality of knowledge points to examine a plurality of knowledge points simultaneously or examine the flexible application condition of the plurality of knowledge points. The main reason for the wrong question is that the students can not learn, master and flexibly apply the relevant knowledge points, so that the questions are wrongly made. The wrong-answer test paper generated in the above-mentioned chinese patent (application No. 201810825456X) and chinese patent (application No. 2017111838406) contains wrong-answer original questions or similar questions, and for the wrong-answer original questions in the wrong-answer test paper, the students may answer the right-to-answer test questions by remembering hard backs, especially for subjective questions such as selection questions, filling-in blank questions, judgment questions, etc., the students may answer the right-to-answer test questions by remembering the answers; for similar wrong questions in the wrong question test paper, because the similar wrong questions and the keywords of the question stem part of the wrong question are similar words or equivalent words, the similar wrong questions and the wrong question original question have the same solution thinking, so that the wrong questions similar to the wrong question original question still can not investigate whether the student flexibly masters the knowledge points related to the wrong questions; therefore, the examination paper of the wrong questions generated in the chinese patent (application No. 201810825456X) and the chinese patent (application No. 2017111838406) cannot really assess whether the students flexibly grasp the knowledge points associated with the wrong questions.
In addition, it should be noted that the generation of wrong questions by students in the learning process is a dynamic process of accumulation and elimination, that is, some knowledge points are not completely held in learning to generate wrong questions, and some wrong questions should be deleted from the wrong question database after the knowledge points in the wrong questions are mastered. However, in the system or method for managing the error questions disclosed in the prior art, only how to efficiently input and classify the error questions, and use the accumulated error questions to recommend review, generate test paper, etc. are usually solved, and through long-time accumulation, the number of error questions in the error question database is increased, and some error questions actually lose storage and utilization values, so that not only is the storage resource of the database occupied, but also the application value of the error question database is limited. Therefore, what logic is used to eliminate what wrong questions in the wrong question database, and the wrong questions in the wrong question database can reflect the knowledge points mastery of students in real time and truly, so that the dynamic, scientific and efficient management and application of the wrong question database are realized, and the system and the method are an important problem to be solved by the conventional wrong question management system or method.
Disclosure of Invention
Aiming at the problems, the invention provides a knowledge point-based error problem dynamic intelligent management system, which obtains error-prone knowledge points associated with error problems through analysis, obtains error-prone knowledge point sets of all error problems under corresponding screening conditions by taking student information and subject information as screening conditions, calculates the distribution rate of each error-prone knowledge point, further generates an evaluation test paper for examining the error-prone knowledge points under the corresponding screening conditions by using the error-prone knowledge point sets and the distribution rate of each error-prone knowledge point, and finally eliminates and increases the error problems in an error problem database through the answering results of the evaluation test paper so as to realize real-time dynamic update of the error problem database, thereby ensuring that the error problems input into the error problem database can faithfully reflect the current error-prone knowledge point conditions of students.
The invention is realized by the following technical scheme.
The utility model provides a wrong problem dynamic intelligent management system based on knowledge point, is including being used for different students to draw the wrong problem of printing or writing on paper carrier and convert it to the scanning unit of electron file wrong problem for store the wrong problem database of electron file wrong problem, man-machine interaction terminal, its characterized in that still includes: the system comprises a test question classification analysis module, a knowledge point statistic module, an evaluation module and an evaluation database;
the test question classification analysis module comprises:
the electronic file wrong question receiving system is used for receiving electronic file wrong questions extracted by different students and acquiring student information of the electronic file wrong questions;
the system is used for classifying the subjects of the electronic file wrong subjects to obtain subject information of each wrong subject;
the system is used for automatically solving the electronic file wrong questions, storing generated solving results in a wrong question database, and analyzing knowledge points inspected by the electronic file wrong questions in the automatic solving process to obtain error-prone knowledge points associated with each wrong question;
the evaluation database is used for storing evaluation test questions, evaluation test paper, answer results and evaluation results;
the knowledge point statistic module comprises:
the method is used for screening the electronic file wrong questions in the wrong question database according to wrong question screening conditions f;
for collecting all error-prone knowledge points contained in the screened error questions to form an error-prone knowledge point set B ═ B1、B2、…、Bn… } and counting each error-prone knowledge point BnIn all mistakesNumber of appearance in question CnAnd calculating each error-prone knowledge point BnDistribution ratio D ofnIn which the probability D is distributedn＝Cn/k*100％，CnK is less than or equal to k, and k is the number of the selected error questions, so that an error-prone knowledge point set B under the current error question screening condition f is obtained, and each error-prone knowledge point BnNumber of occurrences in all mistakes CnAnd each error-prone knowledge point BnDistribution ratio D ofnAnd sending the data to the evaluation module and the human-computer interaction terminal;
the evaluation module comprises:
for pursuant to B, CnAnd DnExtracting the evaluation test questions from the evaluation database according to the following evaluation test paper generation conditions to generate the evaluation test paper under the corresponding wrong question screening conditions f: the evaluation knowledge point sets B ' contained in the evaluation test paper are the same as B, and each evaluation knowledge point B ' related in the evaluation test paper 'nDistribution ratio D'nGreater than or equal to DnSending the evaluation test paper to an evaluation database for storage;
used for automatically evaluating each answer result of the test paper under the corresponding wrong-question screening condition f respectively, and the evaluation results are sent to an evaluation database for storage, and evaluation knowledge points of all the wrong answers in each answer result are collected in the automatic evaluation process, forming an error-prone knowledge point set B 'of the test paper under the error screening condition f corresponding to the answers of different students, then sending an instruction to delete the electronic file error questions which are screened according to the error screening condition f, accord with the student information of the answering students and are not contained in B' from the error database (namely, the electronic file error questions which are based on the knowledge points inspected by the test paper under the error screening condition f and are related to the electronic file error questions are inspected and passed, so that the electronic file error questions can be deleted from the error database), all the evaluation test questions with wrong answers are sent to a wrong question database as wrong questions of the answering students for storage;
the human-computer interaction terminal comprises: a teacher end and a student end;
the teacher side includes: for teachers to select student information and subjectsAt least one item of all item information contained in the information is used as a wrong question screening condition f, and the wrong question screening condition f is sent to a knowledge point statistical module; error-prone knowledge point sets B and C under corresponding error screening condition f for teachers to checknAnd DnThe data of (a); the student end is used for the teacher to call the evaluation test paper under the corresponding wrong-question screening condition f from the evaluation database to look up, modify or export the evaluation test paper and distribute the evaluation test paper to the student end conforming to the student information in the wrong-question screening condition f;
the student terminal includes: the student selects at least one item of all item information contained in the student information and the subject information as a wrong question screening condition f, and sends the wrong question screening condition f to the knowledge point counting module; error-prone knowledge point sets B and C under corresponding error question screening condition f for students to checknAnd DnThe data of (a); the student who accords with the student information in the wrong question screening condition f calls the evaluation test paper from the evaluation database or receives the evaluation test paper sent from the teacher end to answer, and sends the answer result to the evaluation module; the system is used for the students to call the evaluation results of the corresponding evaluation test paper which accords with the information of the students from the evaluation database for checking.
As a preferred technical solution, the test question classification and analysis module further includes: the method is used for classifying the subjects of the externally introduced evaluation test questions so as to obtain the subject information of each evaluation test question, analyzing and extracting the evaluation knowledge points of each evaluation test question, and then sending the evaluation test questions containing the subject information and the evaluation knowledge points to an evaluation database for storage.
As a preferred technical solution, the test question classification and analysis module further includes: the system is used for classifying the subjects of externally introduced evaluation test questions to obtain subject information of each evaluation test question, automatically solving each evaluation test question, storing generated answers of the evaluation test questions in an evaluation database, analyzing and extracting evaluation knowledge points of each evaluation test question in the automatic problem solving process, and then sending the evaluation test questions containing the subject information and the evaluation knowledge points to the evaluation database for storage.
As a preferred technical solution, the evaluation module further comprises a module for: when the evaluation test paper cannot be extracted from the evaluation database to generate the evaluation test paper according to the evaluation test paper generation condition, sending a test paper updating prompt to a teacher end for displaying;
the teacher end further comprises a module for: the test questions sent by the evaluation module need to be updated and prompted to be displayed so as to remind relevant personnel of selecting the error-prone knowledge point set B under the condition f according to the corresponding error questions, wherein each error-prone knowledge point BnNumber of occurrences in all mistakes CnAnd each error-prone knowledge point BnDistribution ratio D ofnAnd correspondingly updating the evaluation test questions stored in the evaluation database.
As a specific technical scheme, the student information comprises a grade, a class and a school number; the subject information includes mathematics, language, English, biology, chemistry, physics, politics, history, and geography.
As a preferred technical solution, the teacher end and the student end further include: and the method is used for screening the electronic file wrong questions or/and the problem solving results thereof from the wrong question database to be consulted and exported by taking at least one item of all item information contained in the student information and the subject information as a data query condition f'.
As a preferred technical solution, the condition for generating the evaluation test paper further includes that the evaluation test paper does not include test questions that are the same as or similar to the error questions screened by the knowledge point statistics module.
As a specific technical scheme, the test questions similar to the wrong questions screened by the knowledge point statistical module are that part of the keywords of the test question stem are the same as the keywords of the wrong questions, and the rest of the keywords are synonyms.
As a specific technical scheme, the human-computer interaction terminal further comprises a household terminal; the parent end includes: by using
And calling the evaluation result of the corresponding evaluation test paper of the guardian student from the evaluation database by the parents for checking.
As a specific technical solution, the teacher end further includes: the assessment database is used for the teacher to call the assessment test paper under the corresponding wrong-question screening condition f to set a scoring standard and send the scoring standard to the assessment module; the evaluation module further comprises: and the system is used for scoring and ranking each answer result of the test paper under the corresponding wrong question screening condition f according to the scoring standard, and sending the scoring and ranking results to a teacher end.
Drawings
FIG. 1 is a schematic diagram of the architecture of the system of the present invention;
FIG. 2 is a schematic diagram of dynamic real-time update of the fault database during the use of the system of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are exemplary only for the purpose of illustrating the embodiments of the present invention and are not to be construed as limiting the embodiments of the present invention.
Example 1
A wrong question dynamic intelligent management system based on knowledge points please refer to fig. 1 and fig. 2, comprising a scanning unit, a wrong question database for storing wrong questions of electronic files, a man-machine interaction terminal, a test question classification analysis module, a knowledge point statistic module, an evaluation module and an evaluation database; wherein:
the scanning unit is used for different students to extract wrong questions printed or written on the paper carrier and convert the wrong questions into electronic file wrong questions; when the system is applied specifically, one scanning unit can be configured for each student using the system, information of the students can be input into the scanning unit, and when wrong questions are extracted by the scanning unit, the information of the students and the wrong questions are sent to the test question classification analysis module; in the prior art, a method of how to obtain the wrong question printed or written on the paper carrier and convert the wrong question into electronic information is disclosed, and the embodiment is not described again;
the test question classification analysis module comprises:
the electronic file wrong question receiving system is used for receiving electronic file wrong questions extracted by different students and acquiring student information of the electronic file wrong questions; the student information comprises a grade, a class and a school number;
the system is used for classifying the subjects of the electronic file wrong subjects to obtain subject information of each wrong subject; the subject information includes mathematics, language, English, biology, chemistry, physics, politics, history, and geography;
the system is used for automatically solving the electronic file wrong questions, storing generated solving results in a wrong question database, and analyzing knowledge points inspected by the electronic file wrong questions in the automatic solving process to obtain error-prone knowledge points associated with each wrong question;
the system comprises a test question database, an evaluation database, a test question database and a test question database, wherein the test question database is used for storing test questions, which are imported from the outside, and classifying the test questions to obtain subject information of each test question, automatically solving the test questions, storing generated answers of the test questions in the test question database, analyzing and extracting test knowledge points of each test question in the automatic solving process, and then sending the test questions containing the subject information and the test knowledge points to the test question database for storage;
the evaluation database is used for storing evaluation test questions, evaluation test paper, answer results and evaluation results;
the knowledge point statistic module comprises:
the method is used for screening the electronic file wrong questions in the wrong question database according to wrong question screening conditions f;
for collecting all error-prone knowledge points contained in the screened error questions to form an error-prone knowledge point set B ═ B1、B2、…、Bn… } and counting each error-prone knowledge point BnNumber of occurrences in all mistakes CnAnd calculating each error-prone knowledge point BnDistribution ratio D ofnIn which the probability D is distributedn＝Cn/k*100％，CnK is less than or equal to k, and k is the number of the selected error questions, so that an error-prone knowledge point set B under the current error question screening condition f is obtained, and each error-prone knowledge point BnNumber of occurrences in all mistakes CnAnd each error-prone knowledge point BnDistribution ratio D ofnAnd sending the data to the evaluation module and the human-computer interaction terminal;
the evaluation module comprises:
for pursuant to B, CnAnd DnExtracting the evaluation test questions from the evaluation database according to the following evaluation test paper generation conditions to generate the evaluation test paper under the corresponding wrong question screening conditions f: the evaluation knowledge point sets B ' contained in the evaluation test paper are the same as B, and each evaluation knowledge point B ' related in the evaluation test paper 'nDistribution ratio D'nGreater than or equal to DnThe test paper does not contain test questions which are the same as or similar to the error questions screened by the knowledge point statistical module; the test questions similar to the wrong questions screened by the knowledge point statistical module are that part of the keywords of the test question stem are the same as the keywords of the wrong questions, and the rest of the keywords are synonyms; in the embodiment, according to the evaluation test paper generation conditions, the distribution of the knowledge points assessed by the generated evaluation test paper is similar to the screened wrong questions, so that the generated evaluation test paper can better comprehensively and pertinently investigate the error-prone knowledge points of students, and in addition, the evaluation test questions do not contain the same or similar test questions of the screened wrong questions, so that the problem of inaccurate evaluation caused by the fact that the hard-back answers or the thought of solving the questions are remembered can be avoided; in order to examine the error-prone knowledge points and the newly learned knowledge points, in a preferred embodiment, the evaluation test paper generation condition may be that the evaluation knowledge point set B' included in the evaluation test paper satisfies the requirement
The evaluation test paper contains error-prone knowledge points BnSame B'nDistribution ratio D'nGreater than or equal to Dn(ii) a Namely, the test paper comprises all error-prone knowledge points for screening error problems and can also comprise newly learned knowledge points;
the system is used for sending out a prompt that the test questions need to be updated to a teacher end for displaying when the test questions cannot be extracted from the evaluation database to generate the evaluation test paper according to the evaluation test paper generation conditions;
the system is used for sending the evaluation test paper to an evaluation database for storage;
the system is used for automatically evaluating each answer result of the test paper under the corresponding wrong answer screening condition f, sending the evaluation result to an evaluation database for storage, collecting all evaluation knowledge points of wrong answers in each answer result in the automatic evaluation process to form a wrong-answer knowledge point set B of the test paper under the corresponding wrong answer screening condition f for different students, then sending an instruction to delete the electronic file wrong answers which are screened out according to the wrong answer screening condition f, accord with the student information of the answering and are not contained in B' from the wrong answer database, and sending all wrong answers as the wrong answers of the student to the wrong answer database for storage;
the system is used for scoring and ranking each answer result of the test paper under the corresponding wrong question screening condition f according to the scoring standard, and sending the scoring and ranking results to a teacher end;
the human-computer interaction terminal comprises: a teacher end, a student end and a parent end;
the teacher side includes: the teacher selects at least one item of all item information contained in the student information and the subject information as a wrong question screening condition f, and sends the wrong question screening condition f to the knowledge point counting module; error-prone knowledge point sets B and C under corresponding error screening condition f for teachers to checknAnd DnThe data of (a); the student end is used for the teacher to call the evaluation test paper under the corresponding wrong-question screening condition f from the evaluation database to look up, modify or export the evaluation test paper and distribute the evaluation test paper to the student end conforming to the student information in the wrong-question screening condition f; used for displaying the test question updating prompt sent by the evaluation module to remind relevant personnel of updating the error-prone knowledge point set B according to the error-prone knowledge point set B under the corresponding error question screening condition fnNumber of occurrences in all mistakes CnAnd each error-prone knowledge point BnDistribution ratio D ofnThe data of (2) correspondingly updating the evaluation test questions stored in the evaluation database; the system is used for screening the electronic file wrong questions or/and the problem solving results thereof from the wrong question database to look up and export by taking at least one item of all item information contained in the student information and the subject information as a data query condition f'; used for the teacher to call the evaluation under the corresponding wrong question screening condition f from the evaluation databaseSetting a grading standard for the test paper, and sending the grading standard to an evaluation module;
the student terminal includes: the student selects at least one item of all item information contained in the student information and the subject information as a wrong question screening condition f, and sends the wrong question screening condition f to the knowledge point counting module; error-prone knowledge point sets B and C under corresponding error question screening condition f for students to checknAnd DnThe data of (a); the student who accords with the student information in the wrong question screening condition f calls the evaluation test paper from the evaluation database or receives the evaluation test paper sent from the teacher end to answer, and sends the answer result to the evaluation module; the system is used for the students to call the evaluation results of the corresponding evaluation test paper which accords with the information of the students from the evaluation database for checking; the system is used for screening the electronic file wrong questions or/and the problem solving results thereof from the wrong question database to look up and export by taking at least one item of all item information contained in the student information and the subject information as a data query condition f';
the parent end includes: the system is used for the parents to call the evaluation results of the corresponding evaluation test paper of the guardian students from the evaluation database for viewing.
Example 2
In the present application, the wrong-topic screening condition f generally includes the following cases: "any item in the academic number + subject information", "any item in the class + subject information", "any item in the grade + subject information", "any item in the subject information", and any one of the grade, the class, and the academic number ".
For ease of understanding, this embodiment describes the following application of the exemplary wrong-topic screening condition f:
1) the wrong question screening condition f is any one item in grade and subject information, and the preferred grade comprises first grade, second grade, third grade, first higher grade, second higher grade and third higher grade; for example, if the grade is the first one and the subject information is mathematics, then the wrong question filtering condition f is 'first one + mathematics', the knowledge point statistic module will filter out all the wrong questions of the first students, and further obtain the error-prone knowledge point set B of the first mathematics, and each error-prone knowledge point BnNumber of occurrences in all mistakesCnAnd each error-prone knowledge point BnDistribution ratio D ofn(ii) a Evaluation module basis B, CnAnd DnThe data, extracting the evaluation test questions from the evaluation database according to the evaluation test paper generation conditions to generate a primary mathematics evaluation test paper for pertinently evaluating mathematics error-prone knowledge points of primary students, and finally updating the error database in real time according to each answer result of all primary students;
the wrong question screening condition f under the condition is usually initiated by a teacher through a teacher end, and a test paper for testing and evaluating a certain subject of a certain grade is finally formed so as to investigate the mastering condition of knowledge points in the grade mathematics wrong questions; for example, in a periodic examination of a middle school (e.g., an end-of-term examination or an interim examination), an interim examination paper of a certain subject of a certain grade may be generated by using "any one of grade + subject information" as a wrong-subject screening condition f, or a teacher may delete, add, replace, etc. the generated examination paper as an interim examination paper of a certain subject of a certain grade; certainly, the grade in the wrong-question screening condition f may also include multiple grades, so that all error-prone knowledge points of first-high mathematics, second-high mathematics and third-high mathematics are tested when third-high approaches the college entrance examination;
2) the wrong-question screening condition f is "any one of class and subject information", for example, when the class is 103 classes (where the indication that the serial number of the class is from left to right means that 1 represents the first class and 03 represents the third class), and the subject information is mathematics, the wrong-question screening condition f is "103 classes + mathematics", the knowledge point statistical module screens out all the mathematics wrong questions of all students in 103 classes, and further obtains an error-prone knowledge point set B of the mathematics in 103 classes, and each error-prone knowledge point BnNumber of occurrences in all mistakes CnAnd each error-prone knowledge point BnDistribution ratio D ofn(ii) a Evaluation module basis B, CnAnd DnData, extracting evaluation test questions from an evaluation database according to the evaluation test paper generation conditions to generate 103 classes of mathematic evaluation test papers for pertinently evaluating mathematic error-prone knowledge points of 103 classes of students, and finally updating an error question database in real time according to answer results of all 103 classes of students;
the wrong question screening condition f under the condition is usually initiated by a teacher through a teacher end, and a test paper for testing and evaluating a certain subject of a certain class is finally formed so as to investigate the mastering condition of the knowledge points in the wrong questions of the subject of the class; of course, when the teacher of a subject is any teacher of several classes, the classes in the wrong-question filtering condition f may include multiple classes, so that the teacher can test the classes that the teacher teaches;
in addition, according to the two wrong question screening conditions f, the teacher can select the wrong question according to B, CnAnd DnThe data of (2) can master the error-prone knowledge points of the grades and classes at any time, so that the teaching focus can be changed in a targeted manner, and the teaching can be performed with a definite target.
3) The wrong-question screening condition f is any one of the study number and subject information, for example, the study number is 10320 shifts (wherein the left-to-right meaning of the study number is 1 for the first shift, 03 for the third shift, and 20 for the serial number of the student), when the subject information is mathematics, the wrong-question screening condition f is 10320+ mathematics, the knowledge point statistic module screens out all the mathematics wrong questions of the student with the study number of 10320, and further obtains an error-prone knowledge point set B of the student, and each error-prone knowledge point BnNumber of occurrences in all mistakes CnAnd each error-prone knowledge point BnDistribution ratio D ofn(ii) a Evaluation module basis B, CnAnd DnData, extracting evaluation test questions from the evaluation database according to the evaluation test paper generation conditions to generate the mathematical evaluation test paper of the student, so as to be used for pertinently evaluating mathematics error-prone knowledge points of the student with the school number of 10320, and finally updating the error database in real time according to the answer result of the student;
the wrong-question screening condition f under such a situation is usually initiated by a student through a student end, and a test paper for evaluating a certain subject of a certain student is finally formed so as to investigate the mastering condition of knowledge points in the wrong subjects of the subject of the student.
Example 3
In order to facilitate understanding of the process and principle of the system of the present invention for performing dynamic intelligent management on the error questions, the present embodiment exemplifies the situation when the student initiates the error question screening condition f.
The system is applied to teaching in school a, and the students in school b read from the beginning, the class is one class, and the school number is 10120; at present, 8520 wrong questions are stored and recorded in the wrong question database of the system of the invention, wherein 20 wrong questions of mathematics of b students are included (the 20 wrong questions of mathematics are A)1、A2、…、A20) Physical problem 41 and chemical problem 43;
in 10.10.2021, b students go through a period of targeted review, so as to know whether the error-prone knowledge points in the collected mathematics error problems are mastered, the system is logged in for error problem management application, and the method specifically comprises the following steps:
1) b, the student selects 'study number 10120+ mathematics' as a screening condition through the student end, and selects a wrong question screening condition f1Sending the data to a knowledge point statistical module; the knowledge point statistical module screens the electronic file wrong questions in the wrong question database according to wrong question screening conditions f 'study number 10120+ mathematics' to screen out 20 mathematic wrong questions, wherein the 20 mathematic wrong questions are A1、A2、…、A20Collecting all error-prone knowledge points contained in the screened error questions to form an error-prone knowledge point set B ═ B1、B2、B3、B4、B5、B6、B7、B8、B9And counting each error-prone knowledge point BnNumber of occurrences in all mistakes CnThe result is: error-prone knowledge point B12 occurrences, B24 times of appearance, B3Appear 5 times, B4Appear 3 times, B5Occur 7 times, B611 occurrences, B71 occurrence, B82 occurrences, B92 occurrences, after which each error-prone knowledge point B is calculatednDistribution ratio D ofnThe result is: distribution ratio D1＝10％，D2＝20％，D3＝25％，D4＝15％，D5＝35％，D6＝55％，D7＝5％，D8＝10％，D910%, B, C abovenAnd DnThe data are sent to an evaluation module and a man-machine interaction terminal;
2) the evaluation module is according to B, C in step 1)nAnd DnAnd (3) extracting the evaluation test paper from the evaluation database according to the following evaluation test paper generation conditions to generate a mathematic evaluation test paper of a student with the school number of 10120: the evaluation test paper contains the same evaluation knowledge point sets B 'and B (namely the knowledge points in B' are also B)1、B2、B3、B4、B5、B6、B7、B8、B9) And each evaluation knowledge point B 'involved in the evaluation test paper'nDistribution ratio D'nGreater than or equal to DnSending the evaluation test paper to an evaluation database for storage; wherein, the evaluation paper extracts 16 questions from the evaluation database and generates the evaluation paper according to the generation conditions of the evaluation paper, and the 16 questions are respectively recorded as T1、T2、…、T16；
3) On the day of 10 months and 10 days in 2021, the student b calls the evaluation test paper generated in the step 2) from the evaluation database through the student end to answer, and sends an answer result to the evaluation module;
4) the evaluation module automatically reviews the answer result obtained in the step 3) and sends the review result to an evaluation database for storage, wherein T5、T8、T12In order to answer wrong test questions, the evaluation knowledge points of all the wrong answer test questions in the answer results of the students are collected in the automatic evaluation process to form an easy-to-answer knowledge point set B ═ B ″ (B B) of the evaluation test paper under the corresponding wrong answer screening conditions f of different students2、B4、B5Sending an instruction to delete the electronic file wrong questions A which are screened according to the wrong question screening condition f, accord with the student information of the answering student and are not contained in B' of each error-prone knowledge point from the wrong question database1、A2、A3、A4、A5、A6、A7、A10、A11、A12、A13、A14、A17、A18、A2015 times (namely, through examination of the examination paper, the error-prone knowledge points of the 15 wrong questions are mastered, so that the wrong question dataA remains in the library8、A9、A15、A16、A19Total of 5), and all the wrong answer test questions T are evaluated5、T8、T12The wrong questions of the students as answers are sent to a wrong question database for storage (the wrong questions in the test paper should be recorded into the wrong question database as wrong questions so as to be used as wrong questions again to count error-prone knowledge points, and therefore the error frequency and the mastering condition of the students on the error-prone knowledge points can be reflected more accurately and in real time); at the moment, the wrong questions in the wrong question database of the system are dynamically and intelligently updated, wherein the wrong question database comprises 8 mathematic wrong questions of b students, namely A8、A9、A15、A16、A19、T5、T8、T12Therefore, the mathematics error questions stored in real time reflect the error-prone knowledge points which cannot be mastered by the current students, and the number of error questions recorded in the synchronous error question database is changed into 8508.
Example 4
In order to facilitate understanding of the process and principle of the system of the present invention for dynamically and intelligently managing the error questions, the present embodiment exemplifies the condition f for the teacher to initiate the error question screening2The situation of time.
The system is applied to teaching in a school, a teacher teaches in a, a concrete teacher c is a mathematic lessee teacher in the first class, and the first class comprises five students (for convenience of explanation and explanation of the application of the system, the number of the students in the first class is set to be five, while in actual application, the number of the students may be different according to actual conditions);
the embodiment is based on the condition f that the student initiates wrong question screening in embodiment 31Then, the wrong question database is dynamically updated in real time to be applied specifically; at present, 8508 wrong questions are stored and included in the wrong question database of the system, wherein 106 wrong questions of mathematics of all students in the first class are included, and the specific 106 wrong questions of mathematics are A8、A9、A15、A16、A19、T5、T8、T12And A21、A22、A23、A24、A25…、A118Wherein A is8、A9、A15、A16、A19、T5、T8、T12Initiating a wrong question screening condition f for students b in example 3 by using the system of the invention1Dynamically updating the wrong questions in real time in a wrong question database;
specifically, in the current error problem database:
b student's mathematics wrong question is 8, namely A8、A9、A15、A16、A19、T5、T8、T12；
b’1The student's mathematics wrong question is 25, namely A21、A22、A23…、A45；
b’2The student has 22 mathematics errors, namely A46、A47、A48…、A67；
b’3The student has 27 mathematics errors, namely A68、A69、A70…、A94；
b’4The student has 24 mathematics wrong questions, namely A95、A96、A97…、A118；
In 12.10.2021, c, the teacher logs in the system to perform the application of wrong question management, which specifically comprises the following steps:
1) c, the teacher selects 'first one, one shift and mathematics' as the screening condition through the teacher end, and the wrong screening condition f is selected2Sending the data to a knowledge point statistical module; the knowledge point statistical module screens conditions f according to wrong questions2Screening the electronic file wrong questions in the wrong question database by 'first one, one shift and mathematics', and screening 106 mathematic wrong questions, wherein the 106 mathematic wrong questions are A8、A9、A15、A16、A19、T5、T8、T12And A21、A22、A23、A24、A25…、A118Collecting all error-prone knowledge points contained in the screened error questions to form an error-prone knowledge point set B ═ B1、B2、B3、B4、B5、B6、B7、…、B40、B41And counting each error-prone knowledge point BnNumber of occurrences in all mistakes CnThen calculating each error-prone knowledge point BnDistribution ratio D ofnB, C as described abovenAnd DnThe data are sent to an evaluation module and a man-machine interaction terminal;
2) the evaluation module is according to B, C in step 1)nAnd DnExtracting the evaluation test questions from the evaluation database according to the following evaluation test paper generation conditions to generate primary one-to-one class of mathematical evaluation test paper: the evaluation test paper contains the same evaluation knowledge point sets B 'and B (namely the knowledge points in B' are also B)1、B2、B3、B4、B5、B6、B7、…、B40、B41) And each evaluation knowledge point B 'involved in the evaluation test paper'nDistribution ratio D'nGreater than or equal to DnSending the evaluation test paper to an evaluation database for storage; wherein, the evaluation paper extracts 35 questions from the evaluation database and generates the evaluation paper according to the generation conditions of the evaluation paper, and the 35 questions are respectively recorded as F1、F2、…、F35(ii) a B, B ' and B ' of the above 'n、D’n、DnPlease refer to embodiment 3 for a data calculation and analysis method, which is not described herein again;
3) c, the teacher calls the evaluation test paper generated in the step 2) from the evaluation database through the teacher end to look up the evaluation test paper, and then the evaluation test paper is distributed to be in line with the wrong question screening condition f2Student terminals of middle school student information (i.e. student terminals distributing the evaluation test paper to the students of the first class);
4) students from beginning to beginning (student b, student b'1And student b'2And student b'3And student b'4) The student end sees the evaluation test paper distributed by the teacher C, and tests the evaluationThe volume answers and sends the answer result to the evaluation module; preferably, the student end is a computer; in addition, when the system is applied specifically, different accounts can be allocated to different students according to student information, such as grades, classes and school numbers, the students can set login passwords through the system, and then the students can log in the student end to see the evaluation test paper distributed by the teacher through inputting the accounts and the passwords;
5) the evaluation module respectively and automatically evaluates the answering results of each student in the first class in the step 4), sends the evaluation results to an evaluation database for storage, and collects evaluation knowledge points of all wrong answering questions in each answering result in the automatic evaluation process so as to form corresponding wrong answering screening conditions f for different students to answer2The error-prone knowledge point set B 'of the lower test paper is used for sending an instruction to delete the electronic file error questions which are screened according to the error screening condition f, accord with the student information of the answering student and are not contained in B' of each error-prone knowledge point from the error question database, and all the test questions with wrong answers are sent to the error question database as the error questions of the answering student to be stored; the above-mentioned student b and student b'1And student b'2And student b'3And student b'4The analysis of the answer result B ″ is not repeated here, and only the error questions finally deleted from the database and the entered error questions by each student according to the answer result of the test paper are shown below, wherein:
for the students b, deleting the screening conditions f according to the wrong questions from the wrong questions database2The selected electronic file wrong questions which are in accordance with the student information of the answering students and each error-prone knowledge point is not contained in B' is A16、A19、T5All the test questions F of the answering errors are evaluated3、F6、F7、F9、F21、F35Sending the error questions as the answer students to an error question database for storage;
for student b'1Deleting the screening condition f according to the wrong question from the wrong question database2Screened out student information which accords with the answering students and each error-prone knowledge point is not contained in BThe electronic shift error question is A21、A22、A24、A28、A34、A41、A45All the test questions F of the answering errors are evaluated1、F3、F35Sending the error questions as the answer students to an error question database for storage;
for student b'2Deleting the screening condition f according to the wrong question from the wrong question database2The selected electronic file wrong questions which are in accordance with the student information of the answering students and each error-prone knowledge point is not contained in B' is A47、A50、A55、A56、A57、A60、A62、A66All the test questions F of the answering errors are evaluated1、F2、F6、F8、F21、F30Sending the error questions as the answer students to an error question database for storage;
for student b'3Deleting the screening condition f according to the wrong question from the wrong question database2The selected electronic file wrong questions which are in accordance with the student information of the answering students and each error-prone knowledge point is not contained in B' is A69、A70、A72、A84、A88、A90、A91、A92、A93、A94All the test questions F of the answering errors are evaluated1、F3、F28Sending the error questions as the answer students to an error question database for storage;
for student b'4Deleting the screening condition f according to the wrong question from the wrong question database2The selected electronic file wrong questions which are in accordance with the student information of the answering students and each error-prone knowledge point is not contained in B' is A95、A97、A98、A99、A100、A102、A103、A110、A111、A113All the test questions F of the answering errors are evaluated7、F9Sending the error questions as the answer students to an error question database for storage;
at this time, the wrong questions in the wrong question database of the system of the invention are dynamically and intelligently updated, wherein the wrong question database comprises:
the mathematics error problem including b students is 11, namely A8、A9、A15、T8、T12、F3、F6、F7、F9、F21、F35；
Contains b'1The student's mathematics wrong question is 21, namely A23、A25、A26、A27、A29、A30、A31、A32、A33、A35、A36、A37、A38、A39、A40、A42、A43、A44、F1、F3、F35；
Contains b'2The student has 20 mathematics errors, namely A46、A48、A49、A51、A52、A53、A54、A58、A59、A61、A63、A64、A65、A67、F1、F2、F6、F8、F21、F30；
Contains b'3The student has 20 mathematics errors, namely A68、A71、A73、A74、A75、A76、A77、A78、A79、A80、A81、A82、A83、A85、A86、A87、A89、F1、F3、F28；
Contains b'4The student has 16 mathematics errors, namely A96、A101、A104、A105、A106、A107、A108、A109、A112、A114、A115、A116、A117、A118、F7、F9；
Therefore, the mathematics wrong questions stored in real time reflect the error-prone knowledge points which cannot be mastered by students in the first class, and the number of the wrong questions recorded in the synchronous wrong question database is changed into 8490.
The above embodiments 3 and 4 reflect the real-time update status of the error in the error database over time in the system of the present invention; more specifically, as shown in fig. 2, if other students or teachers use the system of the present invention at different time nodes according to the above process, including that the students initiate wrong questions screening conditions, generate evaluation test paper and answer the same, the teachers initiate wrong questions screening conditions, generate evaluation test paper and answer the same, and further including directly adopting the scanning unit to extract wrong questions, the wrong questions in the wrong questions database of the system of the present invention will be dynamically updated in real time along with the lapse of time of the user, so that the wrong questions in the wrong questions database can faithfully reflect the current mastering conditions of the students on the error-prone knowledge points; the system can be applied to groups of different levels such as schools, grades, classes and the like, is suitable for positioning different roles of students, teachers and parents in teaching, and has good popularization and utilization and practical value.
Claims (10)
1. The utility model provides a wrong problem dynamic intelligent management system based on knowledge point, is including being used for different students to draw the wrong problem of printing or writing on paper carrier and convert it to the scanning unit of electron file wrong problem for store the wrong problem database of electron file wrong problem, man-machine interaction terminal, its characterized in that still includes: the system comprises a test question classification analysis module, a knowledge point statistic module, an evaluation module and an evaluation database;
the test question classification analysis module comprises:
the electronic file wrong question receiving system is used for receiving electronic file wrong questions extracted by different students and acquiring student information of the electronic file wrong questions;
the system is used for classifying the subjects of the electronic file wrong subjects to obtain subject information of each wrong subject;
the system is used for automatically solving the electronic file wrong questions, storing generated solving results in a wrong question database, and analyzing knowledge points inspected by the electronic file wrong questions in the automatic solving process to obtain error-prone knowledge points associated with each wrong question;
the evaluation database is used for storing evaluation test questions, evaluation test paper, answer results and evaluation results;
the knowledge point statistic module comprises:
the method is used for screening the electronic file wrong questions in the wrong question database according to wrong question screening conditions f;
for collecting all error-prone knowledge points contained in the screened error questions to form an error-prone knowledge point set B ═ B1、B2、…、Bn… } and counting each error-prone knowledge point BnNumber of occurrences in all mistakes CnAnd calculating each error-prone knowledge point BnDistribution ratio D ofnIn which the probability D is distributedn＝Cn/k*100％，CnK is less than or equal to k, and k is the number of the selected error questions, so that an error-prone knowledge point set B under the current error question screening condition f is obtained, and each error-prone knowledge point BnNumber of occurrences in all mistakes CnAnd each error-prone knowledge point BnDistribution ratio D ofnAnd sending the data to the evaluation module and the human-computer interaction terminal;
the evaluation module comprises:
for pursuant to B, CnAnd DnExtracting the evaluation test questions from the evaluation database according to the following evaluation test paper generation conditions to generate the evaluation test paper under the corresponding wrong question screening conditions f: the evaluation knowledge point sets B ' contained in the evaluation test paper are the same as B, and each evaluation knowledge point B ' related in the evaluation test paper 'nDistribution ratio D'nGreater than or equal to DnSending the evaluation test paper to an evaluation database for storage;
the system is used for automatically evaluating each answer result of the test paper under the corresponding wrong answer screening condition f, sending the evaluation result to an evaluation database for storage, collecting all evaluation knowledge points of wrong answers in each answer result in the automatic evaluation process to form a wrong-answer knowledge point set B of the test paper under the corresponding wrong answer screening condition f for different students, then sending an instruction to delete the electronic file wrong answers which are screened out according to the wrong answer screening condition f, accord with the student information of the answering and are not contained in B' from the wrong answer database, and sending all wrong answers as the wrong answers of the student to the wrong answer database for storage;
the human-computer interaction terminal comprises: a teacher end and a student end;
the teacher side includes: the teacher selects at least one item of all item information contained in the student information and the subject information as a wrong question screening condition f, and sends the wrong question screening condition f to the knowledge point counting module; error-prone knowledge point sets B and C under corresponding error screening condition f for teachers to checknAnd DnThe data of (a); the student end is used for the teacher to call the evaluation test paper under the corresponding wrong-question screening condition f from the evaluation database to look up, modify or export the evaluation test paper and distribute the evaluation test paper to the student end conforming to the student information in the wrong-question screening condition f;
the student terminal includes: the student selects at least one item of all item information contained in the student information and the subject information as a wrong question screening condition f, and sends the wrong question screening condition f to the knowledge point counting module; error-prone knowledge point sets B and C under corresponding error question screening condition f for students to checknAnd DnThe data of (a); the student who accords with the student information in the wrong question screening condition f calls the evaluation test paper from the evaluation database or receives the evaluation test paper sent from the teacher end to answer, and sends the answer result to the evaluation module; the system is used for the students to call the evaluation results of the corresponding evaluation test paper which accords with the information of the students from the evaluation database for checking.
2. The system for dynamically and intelligently managing problem errors based on knowledge points as claimed in claim 1, wherein the test question classification and analysis module further comprises: the method is used for classifying the subjects of the externally introduced evaluation test questions so as to obtain the subject information of each evaluation test question, analyzing and extracting the evaluation knowledge points of each evaluation test question, and then sending the evaluation test questions containing the subject information and the evaluation knowledge points to an evaluation database for storage.
3. The system of claim 2, wherein the test question classification analysis module further comprises: the system is used for classifying the subjects of externally introduced evaluation test questions to obtain subject information of each evaluation test question, automatically solving each evaluation test question, storing generated answers of the evaluation test questions in an evaluation database, analyzing and extracting evaluation knowledge points of each evaluation test question in the automatic problem solving process, and then sending the evaluation test questions containing the subject information and the evaluation knowledge points to the evaluation database for storage.
4. The system of claim 1, wherein the knowledge point-based dynamic intelligent management system for wrong questions comprises:
the evaluation module further comprises: the system is used for sending out a prompt that the test questions need to be updated to a teacher end for displaying when the test questions cannot be extracted from the evaluation database to generate the evaluation test paper according to the evaluation test paper generation conditions;
the teacher end further includes: used for displaying the test question updating prompt sent by the evaluation module to remind relevant personnel of updating the error-prone knowledge point set B according to the error-prone knowledge point set B under the corresponding error question screening condition fnNumber of occurrences in all mistakes CnAnd each error-prone knowledge point BnDistribution ratio D ofnAnd correspondingly updating the evaluation test questions stored in the evaluation database.
5. The system of claim 1, wherein the student information comprises a grade, a class and a school number; the subject information includes mathematics, language, English, biology, chemistry, physics, politics, history, and geography.
6. The system of claim 1, wherein the teacher end and the student end further comprise: and the method is used for screening the electronic file wrong questions or/and the problem solving results thereof from the wrong question database to be consulted and exported by taking at least one item of all item information contained in the student information and the subject information as a data query condition f'.
7. The system of claim 1, wherein the conditions for generating the evaluation test paper further comprise that the evaluation test paper does not contain the same or similar test questions as the error questions screened by the knowledge point statistics module.
8. The system of claim 7, wherein the test questions similar to the selected wrong questions are selected by the knowledge point statistics module, and some of the keywords of the test question stem are the same as the keywords of the wrong questions, and the rest are synonyms.
9. The system of claim 1, wherein the knowledge point-based dynamic intelligent management system for wrong questions comprises:
the human-computer interaction terminal also comprises a family terminal;
the parent end includes: the system is used for the parents to call the evaluation results of the corresponding evaluation test paper of the guardian students from the evaluation database for viewing.
10. The system according to any one of claims 1 to 9, wherein the system comprises:
the teacher end further includes: the assessment database is used for the teacher to call the assessment test paper under the corresponding wrong-question screening condition f to set a scoring standard and send the scoring standard to the assessment module;
the evaluation module further comprises: and the system is used for scoring and ranking each answer result of the test paper under the corresponding wrong question screening condition f according to the scoring standard, and sending the scoring and ranking results to a teacher end.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111344317.3A CN113918588A (en) | 2021-11-12 | 2021-11-12 | Wrong question dynamic intelligent management system based on knowledge points |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111344317.3A CN113918588A (en) | 2021-11-12 | 2021-11-12 | Wrong question dynamic intelligent management system based on knowledge points |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113918588A true CN113918588A (en) | 2022-01-11 |
Family
ID=79246406
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111344317.3A Pending CN113918588A (en) | 2021-11-12 | 2021-11-12 | Wrong question dynamic intelligent management system based on knowledge points |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113918588A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116110263A (en) * | 2023-03-02 | 2023-05-12 | 广东天波教育科技有限公司 | Answering method and system based on electronic student identity card, electronic equipment and storage medium |
-
2021
- 2021-11-12 CN CN202111344317.3A patent/CN113918588A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116110263A (en) * | 2023-03-02 | 2023-05-12 | 广东天波教育科技有限公司 | Answering method and system based on electronic student identity card, electronic equipment and storage medium |
| CN116110263B (en) * | 2023-03-02 | 2024-01-26 | 广东天波教育科技有限公司 | Answering method and system based on electronic student identity card, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109272789A (en) | Learning effect assessment system and appraisal procedure based on data analysis | |
| Kotsiantis et al. | Using learning analytics to identify successful learners in a blended learning course | |
| CN110909035A (en) | Personalized review question set generation method and device, electronic equipment and storage medium | |
| CN108984516B (en) | Online course content evaluation method and system based on bullet screen evaluation cloud data | |
| US20190272769A1 (en) | Information processing device, information processing method, and non-transitory computer readable medium storing information processing program | |
| WO2022170985A1 (en) | Exercise selection method and apparatus, and computer device and storage medium | |
| CN110782375A (en) | Online learning overall process dynamic analysis method and system based on data | |
| CN112530220A (en) | Online live broadcast and examination system for vocational education | |
| CN113918588A (en) | Wrong question dynamic intelligent management system based on knowledge points | |
| CN114492803A (en) | Knowledge graph-based question and answer generation method and device and automatic examination question generation system | |
| Friel et al. | A framework for assessing knowledge and learning in statistics (K-8) | |
| CN112364123A (en) | Method for automatically organizing questions and updating difficulty level of question bank in real time | |
| CN112507792A (en) | Online video key frame positioning method, positioning system, equipment and storage medium | |
| Uskov et al. | Data cleaning and data visualization systems for learning analytics | |
| CN111091483A (en) | Personalized student homework distribution system and homework distribution method thereof | |
| CN111488330A (en) | Digital network teaching system for medical examination morphology | |
| CN114005325B (en) | Teaching training method, device and medium based on big data | |
| Barendsen et al. | Eliciting computing science teachers’ PCK using the content representation format: Experiences and future directions | |
| CN114782227A (en) | Test paper analysis system, method, computer equipment and storage medium | |
| CN111508289B (en) | Language learning system based on word use frequency | |
| CN113869569A (en) | Learning score prediction and personalized intervention method based on decision tree | |
| CN111882935A (en) | Research learning system and method | |
| Ogunkunle et al. | A data mining based optimization of selecting learning material in an intelligent tutoring system for advancing STEM education | |
| CN111402656A (en) | Cloud computing teaching system | |
| Zhu et al. | Development and validation of information literacy assessment tool for primary students |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |