CN111967255A - Internet-based automatic language test paper evaluation method and storage medium - Google Patents

Internet-based automatic language test paper evaluation method and storage medium Download PDF

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CN111967255A
CN111967255A CN202010804712.4A CN202010804712A CN111967255A CN 111967255 A CN111967255 A CN 111967255A CN 202010804712 A CN202010804712 A CN 202010804712A CN 111967255 A CN111967255 A CN 111967255A
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question
vocabulary
user terminal
examination point
test paper
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罗楠
王振兴
陈茜
陈彬
张昌宋
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Concord University College Fujian Normal University
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Concord University College Fujian Normal University
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    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/20Natural language analysis
    • G06F40/279Recognition of textual entities
    • G06F40/284Lexical analysis, e.g. tokenisation or collocates
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B7/00Electrically-operated teaching apparatus or devices working with questions and answers
    • G09B7/02Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student

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Abstract

The invention provides an Internet-based automatic language test paper evaluation method, a storage medium and electronic equipment, wherein the method comprises the following steps: s1: acquiring a plurality of examination point vocabularies and question patterns to be generated; s2: calculating a plurality of acquired examination point vocabularies according to the question types to be generated to obtain the examination questions of the papers to be formed; s3: and arranging and combining the test questions to be grouped to generate the test paper to be pushed. By means of the method, automatic paper combination function based on vocabularies can be achieved, the generated test paper to be pushed can be pushed to a second user terminal controlled by a student through a first user terminal controlled by a teacher, so that the student can answer the test paper on line, and teaching efficiency is improved.

Description

Internet-based automatic language test paper evaluation method and storage medium
Technical Field
The invention relates to the field of communication, in particular to an internet-based automatic language test paper evaluation method, a storage medium and electronic equipment.
Background
With the development of computer technology and the internet, many schools or training institutions are put into the field of online teaching, and it is desired to provide more diversified teaching contents or more convenient teaching systems through the technology of computer multimedia. In the learning process, students often need to check the learning effect of the students through examination. However, it is not easy to produce a test paper suitable for students. In order to form a uniform test paper format, a teacher needs to copy the questions into a question setting module provided by a software manufacturer one by one and then typeset the test paper, and the process is very time-consuming and inconvenient to operate. When students use test papers to do examinations, most students need to manually fill in their own study number information, which has the defects of inconvenient filling or wrong filling and the like. In addition, after the examination paper is reviewed, because the examination paper examined by students does not have a uniform format, the data on the scanned examination paper cannot be classified, analyzed and mined. Moreover, because the answer sheet mode is mostly adopted by the marking mode of each software manufacturer, the mode has the defect of separating questions and answers, and when a student checks the wrong answer book in the later period, the questions and the answers need to be corresponded again, so that the use is very inconvenient.
Disclosure of Invention
Therefore, a technical scheme for automatic language test paper evaluation based on the internet needs to be provided, so as to solve the problems that the existing test paper output mode is complex and the teaching efficiency is influenced.
In order to achieve the above object, the present application provides, in a first aspect, an internet-based language automatic test paper evaluation method, including the steps of:
s1: acquiring a plurality of examination point vocabularies and question patterns to be generated;
s2: calculating a plurality of acquired examination point vocabularies according to the question types to be generated to obtain the examination questions of the papers to be formed;
s3: and arranging and combining the test questions to be grouped to generate the test paper to be pushed.
As an optional embodiment, the question type to be generated comprises dictation questions and/or choice questions and/or blank filling questions;
the question type to be generated includes dictation questions, and the step S2 includes:
s21: generating corresponding audio information according to the examination point vocabularies, and corresponding the examination point vocabularies to the audio information to obtain the dictation questions;
and/or, the question type to be generated comprises a choice question, and the step S2 comprises:
s22: searching an approximate vocabulary similar to the font of the current examination point vocabulary from a word stock according to the font of the examination point vocabulary, acquiring the meaning content of the approximate vocabulary, comparing the meaning content of the approximate vocabulary with the meaning content of the current examination point vocabulary, if the meaning content of the approximate vocabulary is similar to the meaning content of the current examination point vocabulary, retaining the approximate vocabulary, and if the meaning content of the approximate vocabulary is not similar to the meaning content of the current examination point vocabulary, deleting the approximate vocabulary; selecting a plurality of similar words from the reserved similar words and selecting options of the selection question formed by the similar words and the current examination point words;
and/or, the question type to be generated comprises a null filling question, and the step S2 includes:
s23: extracting example sentences containing the examination point vocabularies, and dividing the example sentences into a plurality of vocabularies according to a general separator in the reading sequence; and replacing the vocabulary matched with the examination point vocabulary in the example sentence with an underline to obtain the blank filling question.
As an alternative embodiment, step S1 is preceded by:
receiving a vocabulary library page number range and a preset format file uploaded by a first user terminal, wherein the vocabulary library comprises a plurality of examination point vocabularies, and the preset format file comprises to-be-generated question types and the number of each question type;
step S1 includes:
extracting a plurality of examination point vocabularies from the vocabulary library according to the page number range of the vocabulary library, and obtaining the question types to be generated and the number of each question type from the preset format file;
the types and the number of the test questions of the test paper to be pushed are the same as the types and the number of the question types to be generated, which are obtained from the preset format file.
As an alternative embodiment, step S3 is followed by:
receiving answer environment parameters set by a first user terminal, and sending the test paper to be pushed and the answer environment parameters to a second user terminal; the answering environment parameters comprise the time for completing the test paper.
As an optional embodiment, after detecting that the second user terminal starts answering the test paper to be pushed, if the answering time reaches the time for completing the test paper, the receiving of the input information of the second user terminal is stopped, and the answer result on the current second user terminal is uploaded to the first user terminal.
As an alternative embodiment, the method comprises:
comparing the answer result of the second user terminal with a preset standard result to obtain a wrong question record of the current second user terminal;
and pushing the test questions corresponding to the corresponding wrong question records to the second user terminal according to the rule of the memory curve and the preset time and date sequence.
As an optional embodiment, the answer environment parameter further includes limiting the screen-cutting times; the method comprises the following steps:
when detecting that the screen switching times of the second user terminal are larger than the preset screen switching times, stopping receiving input information of the second user terminal, and uploading an answer result on the current second user terminal to the first user terminal; the screen switching times refer to the times of switching from the application program running on the current screen to other application programs.
As an alternative embodiment, step S3 includes:
acquiring the types of the test papers input by a first user terminal and the quantity of the test papers of each type, and arranging and combining the test questions of each test paper to be assembled to generate a plurality of test papers to be pushed of different types; the number of the test papers to be pushed of each type is the same as that of the input test papers corresponding to the type, and the question types of the test papers to be pushed of different types are not completely the same.
The second aspect of the present application also provides a storage medium having stored therein a computer program for executing the method according to the first aspect of the present invention.
The third aspect of the present application also provides an electronic device comprising the storage medium according to the second aspect of the present invention.
Different from the prior art, the invention provides an Internet-based automatic language test paper evaluation method, a storage medium and electronic equipment, wherein the method comprises the following steps: s1: acquiring a plurality of examination point vocabularies and question patterns to be generated; s2: calculating a plurality of acquired examination point vocabularies according to the question types to be generated to obtain the examination questions of the papers to be formed; s3: and arranging and combining the test questions to be grouped to generate the test paper to be pushed. By means of the method, automatic paper combination function based on vocabularies can be achieved, the generated test paper to be pushed can be pushed to a second user terminal controlled by a student through a first user terminal controlled by a teacher, so that the student can answer the test paper on line, and teaching efficiency is improved.
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Fig. 1 is a flowchart of an internet-based language automatic test paper evaluation method according to an embodiment of the present invention.
Detailed Description
To explain technical contents, structural features, and objects and effects of the technical solutions in detail, the following detailed description is given with reference to the accompanying drawings in conjunction with the embodiments.
As shown in fig. 1, the present application provides an internet-based automatic language test paper evaluation method, which includes the following steps:
the process first proceeds to step S1: and acquiring a plurality of examination point vocabularies and question patterns to be generated.
The examination point vocabulary can be Chinese, English or other languages, preferably, in the embodiment, the examination point vocabulary is English. The examination point vocabularies can be obtained from a vocabulary library, the vocabulary library can be divided into different difficulty levels according to the requirements of different application scenes, and the examination point vocabularies can be divided into four-level vocabularies, six-level vocabularies, Abbe vocabularies and the like by taking English as an example. The question types to be generated comprise selection questions, blank filling questions, dictation questions and the like, and the ways of obtaining the question types to be generated by operation based on the vocabularies are different when the question types to be generated are different.
S2: and calculating the acquired examination point vocabularies according to the question types to be generated to obtain the examination questions of the papers to be formed.
In the first aspect, taking the to-be-generated question type as an example of a dictation question, step S2 includes: s21: and generating corresponding audio information according to the examination point vocabularies, and corresponding the examination point vocabularies to the audio information to obtain the dictation questions. Taking an english word as an example, the audio information refers to a standard pronunciation of the current english word, the dictation question refers to that a user dictating a word corresponding to the audio information according to the standard pronunciation, and when the dictation question is embodied on a test paper, only the audio information can be reserved, and an examination point word corresponding to the audio information is hidden (for example, underlining processing is performed).
In the second aspect, taking the topic type to be generated as an example of the choice topic, step S2 includes: s22: searching an approximate vocabulary similar to the font of the current examination point vocabulary from a word stock according to the font of the examination point vocabulary, acquiring the meaning content of the approximate vocabulary, comparing the meaning content of the approximate vocabulary with the meaning content of the current examination point vocabulary, if the meaning content of the approximate vocabulary is similar to the meaning content of the current examination point vocabulary, retaining the approximate vocabulary, and if the meaning content of the approximate vocabulary is not similar to the meaning content of the current examination point vocabulary, deleting the approximate vocabulary; and selecting a plurality of similar words from the reserved similar words and selecting options of the selection question formed by the similar words and the current examination point words.
Taking English vocabulary as an example, the vocabulary similar to the composition mode can be searched from the word stock as the wrong options of the current selection question according to the English letter composition of the current examination point vocabulary, and if the meaning content (such as Chinese paraphrase) is similar to the examination point vocabulary, the options of the selection question will be interfered. Therefore, the meaning content of the approximate vocabulary is compared with the meaning content of the current examination point vocabulary, if the similar meaning content is similar to the current examination point vocabulary, the approximate vocabulary is kept, otherwise, the approximate vocabulary is deleted, and therefore the interference option is effectively eliminated. The title of the selection question is an example sentence containing the current examination point vocabulary, and the position of the examination point vocabulary in the example sentence is replaced by underline during processing, and corresponding typesetting options are arranged below the example sentence, thereby completing the generation of the selection question.
In a third aspect, the question type to be generated includes a null-filling question, and step S2 includes: s23: extracting example sentences containing the examination point vocabularies, and dividing the example sentences into a plurality of vocabularies according to a general separator in the reading sequence; and replacing the vocabulary matched with the examination point vocabulary in the example sentence with an underline to obtain the blank filling question. In short, the example sentence generation manner of the gap filling question is different from the choice question type in that the gap filling question is not additionally generated to be an alternative.
Step S2 may be followed by step S3: and arranging and combining the test questions to be grouped to generate the test paper to be pushed.
Preferably, the test questions to be grouped may be arranged based on the question type sequence, for example, dictation questions, selection questions and blank filling questions at the beginning of the test paper. Of course, the order of the test questions may be adaptively adjusted according to actual needs.
In some embodiments, step S1 is preceded by: receiving a vocabulary library page number range and a preset format file uploaded by a first user terminal, wherein the vocabulary library comprises a plurality of examination point vocabularies, and the preset format file comprises to-be-generated question types and the number of each question type. The first user terminal is a user terminal controlled by a teacher, and in an actual application scene, the test paper to be pushed can be generated by selecting a vocabulary library page range and a preset format file. For example, a teacher may select a page range of a unit in the four-level vocabulary library, and the system extracts all the examination point vocabularies within the selected page range and generates corresponding question types in the manner described above.
Preferably, in this embodiment, step S1 includes: extracting a plurality of examination point vocabularies from the vocabulary library according to the page number range of the vocabulary library, and obtaining the question types to be generated and the number of each question type from the preset format file; the types and the number of the test questions of the test paper to be pushed are the same as the types and the number of the question types to be generated, which are obtained from the preset format file. Therefore, the teacher only needs to select the page number range of the vocabulary library and upload the preset format file, and the system can automatically generate the test paper matched with the preset format file (namely the generated question type arrangement and the number of the question types are matched with the question type arrangement and the number of the question types contained in the preset format file), so that the operation steps of the teacher are greatly simplified, and the paper combination efficiency is improved.
Of course, in other embodiments, the teacher may also directly input the generated question types and the number corresponding to each question type through the first user terminal controlled by the teacher to generate the test paper to be pushed, so as to meet the requirements of different application scenarios.
In certain embodiments, step S3 is followed by: receiving answer environment parameters set by a first user terminal, and sending the test paper to be pushed and the answer environment parameters to a second user terminal; the answering environment parameters comprise the time for completing the test paper. The second user terminal is terminal equipment operated by students, and the first user terminal controlled by the teacher can synchronously set the answering time of the current test paper when the test paper to be pushed is sent to the second user terminal, so that the second user terminal can answer the test paper of the test paper completed by the teacher after receiving the test paper to be pushed, and the effective propulsion of the examination or the follow-up small test is ensured.
In certain embodiments, the method comprises: and after detecting that the second user terminal starts answering the test paper to be pushed, if answering time reaches the time for completing the test paper, stopping receiving input information of the second user terminal, and uploading an answer result on the current second user terminal to the first user terminal. Like this, when the examination time arrived, the automatic rolling function can be realized to the system, has both promoted efficiency and has guaranteed the fairness of examination again.
Preferably, the method comprises: comparing the answer result of the second user terminal with a preset standard result to obtain a wrong question record of the current second user terminal; and pushing the test questions corresponding to the corresponding wrong question records to the second user terminal according to the rule of the memory curve and the preset time and date sequence.
The memory curve tells people that forgetting in learning is regular, and the forgetting process is fast and slow. Assuming that x hours have passed after the initial memory, the memory rate y approximately satisfies y 1-0.56x ^ 0.06. By observing the curve, it can be easily found that the learned knowledge is only 25% of the original knowledge left after one day if the learned knowledge is not closely reviewed. As time goes on, the forgetting speed is reduced, and the forgetting quantity is reduced. After some experiment, two groups of students study a lesson, the group A does not review after learning, the memory rate is 36% after one day, and only 13% remains after one week. The second group was reviewed according to the Ebinghaos memory law, with a memory rate of 98% after one day and 86% after one week, the memory rate of the second group being significantly higher than that of the first group.
Therefore, the step of pushing the test questions corresponding to the corresponding wrong question records to the second user terminal according to the rule of the memory curve and the preset time and date sequence comprises the following steps: and pushing corresponding error questions to the second user terminals according to the second user terminals, wherein the time and the date are sequentially after one day, three days, one week and two weeks, and the completion time is correspondingly set during each pushing so that the second user terminals can finish answering again within the preset time. In order to make the review of students more targeted, corresponding weights can be set for the wrong questions pushed at each time and date, the wrong questions in the next period are pushed by integrating the weights, and the weights are determined according to the correctness of the wrong questions in the historical data of the students.
For example, if a student makes a mistake of 20 questions in a certain examination, the system will push the 20 questions to the student for practice after one day, and if the student makes a mistake of 10 questions in the practice, then in the pushing mistake after three days, the system will push the 10 questions that the student made a mistake cumulatively in the last practice, and for the 10 questions that the last practice has made a pair, although the pushing will also be performed, the weight value of the pushing will be reduced, if the student makes all the 10 questions that the student made a pair last time in the course of the practice, the system will only recommend 5 questions that the two exercises made a pair to the student for practice in the course of the next (after one week), and if the 5 questions are made a pair again, the 5 questions will not be pushed any more in the course of the next (after two weeks). Through the balance calculation of the error rate statistics and the number of the pushing wrong questions, the pushing of the wrong questions can be more targeted, so that students can master corresponding knowledge points more easily, and the teaching quality is improved.
In some embodiments, the answer environment parameters further include limiting the number of screen cuts; the method comprises the following steps: when detecting that the screen switching times of the second user terminal are larger than the preset screen switching times, stopping receiving input information of the second user terminal, and uploading an answer result on the current second user terminal to the first user terminal; the screen switching times refer to the times of switching from the application program running on the current screen to other application programs. Preferably, the limited screen-cutting times are two times.
In short, after the test paper to be pushed is sent to the second user terminal, the student can answer the corresponding application program or applet on the second user terminal, and in order to prevent cheating among students, the answer interface needs to be kept running at the front end of the second user terminal all the time, so that the answer interface can be realized by setting the limited screen switching times. Therefore, the fairness of the examination can be effectively ensured.
In certain embodiments, step S3 includes: acquiring the types of the test papers input by a first user terminal and the quantity of the test papers of each type, and arranging and combining the test questions of each test paper to be assembled to generate a plurality of test papers to be pushed of different types; the number of the test papers to be pushed of each type is the same as that of the input test papers corresponding to the type, and the question types of the test papers to be pushed of different types are not completely the same. In short, the generated test paper can have different question types and quantity, which means that a plurality of different sets of test paper are formed and pushed to different second user terminals, thereby further avoiding the possibility of mutual cheating among students. Preferably, a random number algorithm can be adopted to push the test paper to be pushed, namely, the generated multiple sets of test paper are completely random when being pushed to multiple second user terminals, and everyone does not know the question type and the number of the test paper distributed by the everyone, so that the possibility of mutual cheating among students is further avoided.
The present application also provides a storage medium having stored therein a computer program for executing the method as described hereinbefore. The storage medium is an electronic component with a data storage function, and includes but is not limited to: RAM, ROM, magnetic disk, magnetic tape, optical disk, flash memory, U disk, removable hard disk, memory card, memory stick, etc.
The present application also provides an electronic device comprising a storage medium as described in the foregoing. The electronic device can be an intelligent mobile device such as a mobile phone, a tablet computer and a personal digital assistant, and can also be an electronic device such as a personal computer and a scanner.
The invention provides an Internet-based automatic language test paper evaluation method, a storage medium and electronic equipment, wherein the method comprises the following steps: s1: acquiring a plurality of examination point vocabularies and question patterns to be generated; s2: calculating a plurality of acquired examination point vocabularies according to the question types to be generated to obtain the examination questions of the papers to be formed; s3: and arranging and combining the test questions to be grouped to generate the test paper to be pushed. By means of the method, automatic paper combination function based on vocabularies can be achieved, the generated test paper to be pushed can be pushed to a second user terminal controlled by a student through a first user terminal controlled by a teacher, so that the student can answer the test paper on line, and teaching efficiency is improved.
It should be noted that, although the above embodiments have been described herein, the invention is not limited thereto. Therefore, based on the innovative concepts of the present invention, the technical solutions of the present invention can be directly or indirectly applied to other related technical fields by making changes and modifications to the embodiments described herein, or by using equivalent structures or equivalent processes performed in the content of the present specification and the attached drawings, which are included in the scope of the present invention.

Claims (10)

1. An Internet-based automatic language test paper evaluation method is characterized by comprising the following steps:
s1: acquiring a plurality of examination point vocabularies and question patterns to be generated;
s2: calculating a plurality of acquired examination point vocabularies according to the question types to be generated to obtain the examination questions of the papers to be formed;
s3: and arranging and combining the test questions to be grouped to generate the test paper to be pushed.
2. The method for automatically evaluating an internet-based language questionnaire according to claim 1, wherein the question type to be generated comprises a dictation question and/or a choice question and/or a blank filling question;
the question type to be generated includes dictation questions, and the step S2 includes:
s21: generating corresponding audio information according to the examination point vocabularies, and corresponding the examination point vocabularies to the audio information to obtain the dictation questions;
and/or, the question type to be generated comprises a choice question, and the step S2 comprises:
s22: searching an approximate vocabulary similar to the font of the current examination point vocabulary from a word stock according to the font of the examination point vocabulary, acquiring the meaning content of the approximate vocabulary, comparing the meaning content of the approximate vocabulary with the meaning content of the current examination point vocabulary, if the meaning content of the approximate vocabulary is similar to the meaning content of the current examination point vocabulary, retaining the approximate vocabulary, and if the meaning content of the approximate vocabulary is not similar to the meaning content of the current examination point vocabulary, deleting the approximate vocabulary; selecting a plurality of similar words from the reserved similar words and selecting options of the selection question formed by the similar words and the current examination point words;
and/or, the question type to be generated comprises a null filling question, and the step S2 includes:
s23: extracting example sentences containing the examination point vocabularies, and dividing the example sentences into a plurality of vocabularies according to a general separator in the reading sequence; and replacing the vocabulary matched with the examination point vocabulary in the example sentence with an underline to obtain the blank filling question.
3. The method for automatically profiling based on internet language according to claim 1, wherein step S1 is preceded by the steps of:
receiving a vocabulary library page number range and a preset format file uploaded by a first user terminal, wherein the vocabulary library comprises a plurality of examination point vocabularies, and the preset format file comprises to-be-generated question types and the number of each question type;
step S1 includes:
extracting a plurality of examination point vocabularies from the vocabulary library according to the page number range of the vocabulary library, and obtaining the question types to be generated and the number of each question type from the preset format file;
the types and the number of the test questions of the test paper to be pushed are the same as the types and the number of the question types to be generated, which are obtained from the preset format file.
4. The method for automatically profiling based on internet language according to claim 1 or 3, wherein the step S3 is followed by further comprising:
receiving answer environment parameters set by a first user terminal, and sending the test paper to be pushed and the answer environment parameters to a second user terminal; the answering environment parameters comprise the time for completing the test paper.
5. The method for evaluating an internet-based automatic language grouping according to claim 4, wherein after it is detected that the second user terminal starts answering the test paper to be pushed, if the answering time reaches the time for completing the test paper, the receiving of the input information of the second user terminal is stopped, and the answer result on the current second user terminal is uploaded to the first user terminal.
6. The method for automatic internet-based language profiling according to claim 5, wherein the method comprises:
comparing the answer result of the second user terminal with a preset standard result to obtain a wrong question record of the current second user terminal;
and pushing the test questions corresponding to the corresponding wrong question records to the second user terminal according to the rule of the memory curve and the preset time and date sequence.
7. The method for automatically evaluating an internet-based language questionnaire of claim 4, wherein the answer environment parameters further comprise a limit screen-cut number; the method comprises the following steps:
when detecting that the screen switching times of the second user terminal are larger than the preset screen switching times, stopping receiving input information of the second user terminal, and uploading an answer result on the current second user terminal to the first user terminal; the screen switching times refer to the times of switching from the application program running on the current screen to other application programs.
8. The method for automatically profiling internet-based language according to claim 1, wherein the step S3 includes:
acquiring the types of the test papers input by a first user terminal and the quantity of the test papers of each type, and arranging and combining the test questions of each test paper to be assembled to generate a plurality of test papers to be pushed of different types; the number of the test papers to be pushed of each type is the same as that of the input test papers corresponding to the type, and the question types of the test papers to be pushed of different types are not completely the same.
9. A storage medium, characterized in that a computer program is stored in the storage medium for performing the method according to any of claims 1 to 8.
10. An electronic device characterized in that it contains a storage medium according to claim 9.
CN202010804712.4A 2020-08-12 2020-08-12 Internet-based automatic language test paper evaluation method and storage medium Pending CN111967255A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113763767A (en) * 2021-08-25 2021-12-07 赣州市加薪教育科技有限公司 Learning test question pushing method and device, computer equipment and storage medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101460449B1 (en) * 2013-08-05 2014-11-20 포항공과대학교 산학협력단 Method for Automatic Fill-in the Blank Question Generation and the Recorded Medium Performing the same
CN107170317A (en) * 2017-06-08 2017-09-15 南京信息工程大学 Online testing method and system based on cloud platform
CN109558511A (en) * 2018-12-12 2019-04-02 广东小天才科技有限公司 A kind of dictation enters for method and device
CN109783601A (en) * 2018-11-23 2019-05-21 浙江蓝鸽科技有限公司 Computer intelligence group volume method and its system based on knowledge on testing point
CN110209563A (en) * 2019-05-31 2019-09-06 掌阅科技股份有限公司 Examination question assessment monitoring and managing method, electronic equipment and computer storage medium
CN110400117A (en) * 2018-04-24 2019-11-01 中国移动通信集团有限公司 A kind of based reminding method, electronic equipment and the storage medium of wrong topic
CN111400506A (en) * 2020-03-13 2020-07-10 苏州思必驰信息科技有限公司 Ancient poetry proposition method and system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101460449B1 (en) * 2013-08-05 2014-11-20 포항공과대학교 산학협력단 Method for Automatic Fill-in the Blank Question Generation and the Recorded Medium Performing the same
CN107170317A (en) * 2017-06-08 2017-09-15 南京信息工程大学 Online testing method and system based on cloud platform
CN110400117A (en) * 2018-04-24 2019-11-01 中国移动通信集团有限公司 A kind of based reminding method, electronic equipment and the storage medium of wrong topic
CN109783601A (en) * 2018-11-23 2019-05-21 浙江蓝鸽科技有限公司 Computer intelligence group volume method and its system based on knowledge on testing point
CN109558511A (en) * 2018-12-12 2019-04-02 广东小天才科技有限公司 A kind of dictation enters for method and device
CN110209563A (en) * 2019-05-31 2019-09-06 掌阅科技股份有限公司 Examination question assessment monitoring and managing method, electronic equipment and computer storage medium
CN111400506A (en) * 2020-03-13 2020-07-10 苏州思必驰信息科技有限公司 Ancient poetry proposition method and system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
丁向民: ""多项选择题自动生成技术综述"", 《现代计算机》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113763767A (en) * 2021-08-25 2021-12-07 赣州市加薪教育科技有限公司 Learning test question pushing method and device, computer equipment and storage medium

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