An english test screening method, system and storage medium

Abstract

The application discloses an English test question screening method and system and a storage medium, and comprises the following steps: obtaining a test paper file; extracting feature information of the test paper file, wherein the feature information of the test paper file comprises a test paper area and a year; marking the feature information; identifying test questions and known information in the test paper by using a large database containing information identification data, and classifying and marking the test questions according to the known information. According to the known information sent by a teacher, the test question content in the obtained test paper file is classified and marked by using a big data technology, and the test questions corresponding to the known information are screened out. The reading and screening work of the teacher is saved, and the work efficiency of the teacher and the learning effect of students are greatly improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the online education technical field, specifically to an English test question screening method, system and storage medium. BACKGROUND

[0002] Online education, as the name implies, is a teaching method with network as the medium. Through the network, students and teachers can carry out teaching activities even if they are thousands of miles apart. In addition, with the help of network courseware, students can learn anytime and anywhere, truly breaking the time and space constraints. For busy working people with unstable learning time, network distance education is the most convenient learning method. In the field of Internet education, the establishment and maintenance of online question banks is the "cornerstone". The process of cataloging new questions into the question bank relies on manual input and annotation of related information such as question knowledge points, test points, difficulty, and question types. With the rapid development of artificial intelligence, communication and computer technology, users can learn cultural courses, vocational technical training courses and other courses through computers. Online education is a new concept produced after the application of modern information technology in education, that is, education carried out by using network remote technology and environment, which requires screening of English test questions.

[0003] Under the background of online education informatization, based on curriculum standards, policies, national high school entrance examination true questions, national proposition evaluation, teaching proposition research, the part of test question screening is standardized and visualized, the information of information island is integrated, the data center is established for synchronization and visualized linkage, and the business process is gradually toolized to improve the intelligentization of the whole business process. After the students complete the classroom learning, they need to focus on the classroom and after-school teaching, and on the basis of strengthening the learning effect, they need to screen test questions for students in a targeted and personalized manner, and improve the accuracy of test question screening. The test question screening in the prior art is through a large amount of reading by teachers according to different learning focuses, which is a simple and tedious work. Repeating these simple operations will consume a lot of energy of teachers, resulting in a decrease in work efficiency of teachers and a serious impact on the learning effect of students. SUMMARY

[0004] The purpose of the present application is to provide an English test question screening method, system and storage medium to solve the problem of the test question screening in the prior art, which is through a large amount of reading by teachers according to different learning focuses, which is a simple and tedious work. Repeating these simple operations will consume a lot of energy of teachers, resulting in a decrease in work efficiency of teachers and a serious impact on the learning effect of students.

[0005] To achieve the above purpose, the present application provides the following technical scheme:

[0006] An English test question screening method, comprising the following steps:

[0007] obtaining a test paper file;

[0008] extracting feature information of the test paper file, the feature information including a test paper area and a year;

[0009] labeling the test paper file according to the feature information;

[0010] recognizing a test question and known information in the labeled test paper file by using a large database containing information recognition data;

[0011] classifying and labeling the test question according to the known information;

[0012] obtaining a screening condition;

[0013] screening a test question matching the screening condition from the classified and labeled test question.

[0014] Further preferably, the large database is established according to data fed back during a survey on teachers.

[0015] Further preferably, the large database containing information recognition data is used to recognize the test question and the known information in the test paper, including:

[0016] recognizing a keyword in the test question according to information recognition data in the large database;

[0017] dividing the test question into a selected part and an unselected part according to a position of the keyword in the test question;

[0018] classifying and labeling the selected part.

[0019] Further preferably, the known information is obtained by sending a notification information to a teacher, and the notification information is sent to the teacher by a mobile phone message, an email or a system notification.

[0020] Further preferably, the present application provides an English test question screening system, including:

[0021] a test paper obtaining module for obtaining a test paper file;

[0022] an information extracting module for extracting feature information of the test paper file;

[0023] a test paper information labeling module for labeling the feature information;

[0024] an information recognizing module for recognizing a test question and known information in the test paper by using a large database containing information recognition data;

[0025] a test question information classifying and labeling module for classifying and labeling the test question according to the known information

[0026] The screening module is configured to screen the test questions matching the screening condition from the classified and labeled test questions.

[0027] Further preferably, the present application provides an electronic device comprising:

[0028] At least one processor, and a memory connected to the at least one processor in communication, wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the steps of the above method.

[0029] Further preferably, the present application provides a computer readable storage medium, wherein the computer readable storage medium stores a plurality of computer programs, and the plurality of computer programs are configured to enable a computer to perform the steps of the above method.

[0030] Further preferably, the present application provides a computer program product, wherein the computer program is executed by a processor to implement the steps of the above method.

[0031] Compared with the prior art, the present application has the following beneficial effects:

[0032] According to the known information sent by the teacher, the test question content in the obtained test paper file is classified and labeled by big data technology, and the test questions corresponding to the known information are screened out. The work of reading and screening by the teacher is saved, and the work efficiency of the teacher and the learning effect of the students are greatly improved. BRIEF DESCRIPTION OF DRAWINGS

[0033] Figure 1 A flowchart of the English test question screening of the present application; DETAILED DESCRIPTION

[0034] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0035] Please refer to Figure 1 The present application provides a technical solution:

[0036] An English test question screening method, comprising the following steps:

[0037] S100, obtaining a test paper file;

[0038] Exemplarily, the test paper files are generally stored in a question bank, and when a teacher sets a question, the teacher first needs to select a test paper file of a corresponding type in the question bank, and thus the test paper file of the corresponding type can be directly obtained from the question bank.

[0039] In S110, feature information of the test paper file is extracted, and the feature information of the test paper file includes a test paper area and a year;

[0040] Exemplarily, the test paper file of the corresponding type is selected according to the area and the year of the test paper file, and thus the more accurate test paper file can be directly obtained from the test paper file of the corresponding type.

[0041] In S120, the test paper file is labeled according to the feature information.

[0042] Exemplarily, the obtained test paper file is labeled according to the area and the year of the test paper file.

[0043] In S130, the test questions and the known information in the labeled test paper file are identified by using a large database containing information identification data.

[0044] Exemplarily, the large database is established according to data fed back by the teacher during investigation. Specifically, the teacher can find some representative keywords during daily teaching and checking of student homework, and the keywords can be used to locate the known information. The teacher can upload the keywords to the large database. The large database needs to filter the keywords, and the filtering method includes primary filtering and secondary filtering. In the primary filtering, the large database compares multiple keywords uploaded by multiple teachers or multiple keywords uploaded by one teacher, and removes the keywords that are completely same or have too high similarity. In the secondary filtering, the large database compares the keywords to be uploaded with the keywords already stored in the large database, to remove the keywords that are completely same or have too high similarity, and save storage space. The keywords in the test questions are identified according to the information identification data in the large database. The test questions are divided into selected parts and non-selected parts according to the positions of the keywords in the test questions, and the selected parts are classified and labeled.

[0045] In S140, a screening condition is obtained.

[0046] Exemplarily, the test questions that match the screening condition are selected from the test questions that have been classified and labeled.

[0047] In the present application, the known information is obtained by sending notification information to the teacher, and the notification information is sent to the teacher by means of a mobile phone message, an email or a system notification.

[0048] The present application further provides an English test question screening system, which comprises:

[0049] a test paper acquisition module configured to acquire a test paper file;

[0050] an information extraction module configured to extract feature information of the test paper file;

[0051] a test paper information labeling module configured to label the feature information;

[0052] an information recognition module configured to recognize test questions and known information in the test paper by using a large database containing information recognition data;

[0053] a test question information classification and labeling module configured to classify and label the test questions according to the known information

[0054] a screening module configured to screen test questions matching the screening conditions from the classified and labeled test questions.

[0055] The present application provides an electronic device, comprising:

[0056] at least one processor, and a memory connected to the at least one processor in communication, wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to enable the at least one processor to perform the steps of the above method.

[0057] The present application provides a computer readable storage medium, wherein the computer readable storage medium stores a plurality of computer programs, and the plurality of computer programs are used to enable a computer to perform the steps of the above method.

[0058] The present application provides a computer program product, wherein the computer program is executed by a processor to implement the steps of the above method.

[0059] It is apparent for those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, and the present application can be implemented in other specific forms without departing from the spirit or essential characteristics of the present application. Therefore, the embodiments should be regarded as exemplary and non-limiting, and the scope of the present application is defined by the appended claims rather than the above description, and it is intended to encompass all changes falling within the meaning and scope of the equivalent elements of the claims, and any drawing reference in the claims should not be regarded as limiting the involved claims.

[0060] The above description is only the preferred embodiment of the present application, but the protection scope of the present application is not limited thereto, and any skilled person in the art can make equivalent substitutions or changes to the technical solution and the inventive concept of the present application within the technical range disclosed by the present application, which should be covered within the protection scope of the present application.

Claims

1. An English test question screening method, characterized by, The method comprises the following steps: obtaining a test paper file; extracting feature information of the test paper file, the feature information comprising test paper regions and years; annotating the test paper file according to the feature information; identifying test questions and known information in the annotated test paper file by using a large database containing information identification data, the large database being established according to data fed back during a survey of teachers, identifying keywords in the test questions according to the information identification data in the large database, dividing the test questions into selected parts and non-selected parts according to positions of the keywords in the test questions, and classifying and annotating the selected parts; classifying and annotating the test questions according to the known information; obtaining a screening condition; screening test questions matching the screening condition from the test questions that have been classified and annotated.

2. The method of claim 1, wherein: The known information is obtained by sending notification information to teachers, and the notification information is sent to the teachers by means of mobile phone messages, emails or system notifications.

3. An English test screening system, characterized by, The method comprises the following steps: a test paper obtaining module for obtaining a test paper file; an information extracting module for extracting feature information of the test paper file, the feature information comprising test paper regions and years; a test paper information annotating module for annotating the test paper file according to the feature information; an information identifying module for identifying test questions and known information in the test paper by using a large database containing information identification data, the large database being established according to data fed back during a survey of teachers, and identifying keywords in the test questions according to the information identification data in the large database; a test question information classifying and annotating module for classifying and annotating the test questions according to the known information, dividing the test questions into selected parts and non-selected parts according to positions of the keywords in the test questions, and classifying and annotating the selected parts; a screening module for screening test questions matching a screening condition from the test questions that have been classified and annotated.

4. An electronic device, comprising: The method comprises the following steps: at least one processor and a memory connected to the at least one processor in communication, wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to make the at least one processor execute steps of the method according to any one of claims 1-2.

5. A computer-readable storage medium, characterized in that: The computer readable storage medium stores a plurality of computer programs, and the plurality of computer programs are used to make a computer execute steps of the method according to any one of claims 1-2.

6. A computer program product, characterised in that: The computer program is executed by the processor to implement steps of the method according to any one of claims 1-2.

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