CN112182232A - Intelligent teacher paper-composing system - Google Patents
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Abstract
The invention discloses a teacher intelligent composition system and a teacher intelligent composition method, wherein the teacher intelligent composition system comprises a teaching material input unit, a teacher composition unit and a teacher composition unit, wherein the teaching material input unit is used for inputting knowledge points, exercises and exercise answers of all chapters of the teaching material and storing the mutual correlation among the knowledge points, the exercises and the exercise answers; the test paper analysis unit is used for acquiring the test paper disclosed or input by a teacher, analyzing and counting the knowledge points corresponding to the test paper questions and the score weights of the knowledge points; the human-computer interaction unit is used for the teacher to input the logic of the test paper and for the teacher to perfect the question bank, including the difficulty of the test paper and the knowledge points of the examination of the test paper; the examination paper combination logic unit is used for acquiring examination paper combination from the question bank or randomly generating examination paper combination according to the examination paper combination logic input by the teacher and the value weight of the knowledge points; and the database is used for storing knowledge points, exercises, exercise answers, associations, knowledge point score weights and the question bank in a classified manner. According to the invention, manual paper grouping is replaced by a machine, so that the working efficiency is improved, paper grouping can be performed according to the score weights of the knowledge points, and the investigation weight of each knowledge point is reasonably set.
Description
Technical Field
The invention relates to the field of education, in particular to an intelligent teacher test paper combining system.
Background
With the popularization of computers, people can solve many problems by using the computers. For teachers, a very important task is to examine teaching results, the main examination method is examination, and a set of examination paper with moderate difficulty and reasonable knowledge point distribution is very important for examination. The traditional manual volume assembling method wastes time and has low working efficiency. When the paper is manually assembled, the paper is easy to get into a dead angle of thinking, and knowledge points can be lost.
Disclosure of Invention
The invention provides an intelligent teacher paper combination system, which solves the problems that manual paper combination methods in the prior art waste time and work efficiency is low. The problem that the knowledge points are possibly lost due to the fact that the paper is easily trapped in dead angles of thinking when being manually assembled.
The technical scheme of the invention is realized as follows:
a teacher intelligent group scroll system comprises
The teaching material input unit is used for inputting knowledge points, exercises and exercise answers of all chapters of the teaching material and storing the mutual association among the knowledge points, the exercises and the exercise answers;
the test paper analysis unit is used for acquiring the test paper disclosed or input by a teacher, analyzing and counting the knowledge points corresponding to the test paper questions and the score weights of the knowledge points;
the human-computer interaction unit is used for the teacher to input the logic of the test paper and for the teacher to perfect the question bank, including the difficulty of the test paper and the knowledge points of the examination of the test paper;
the examination paper combination logic unit is used for acquiring examination paper combination from the question bank or randomly generating examination paper combination according to the examination paper combination logic input by the teacher and the score weight of the knowledge points;
and the database is used for storing the knowledge points, the exercises, the exercise answers, the associations, the score weights of the knowledge points and the question bank in a classified manner.
As a preferred embodiment of the invention, the association of the knowledge points, the exercises and the answers of the exercises is stored, which specifically refers to the coincidence degree and the complementation degree among the knowledge points, the exercises and the answers of the exercises, and if the coincidence degree and the complementation degree are high, the group paper logic unit randomly generates test questions according to the knowledge points.
As a preferred embodiment of the present invention, the teaching material entry unit crawls knowledge points, exercises and exercise answers of each chapter by using a web crawler technology, or identifies and stores knowledge points, exercises and exercise answers of each chapter of the teaching material by using an image recognition technology, and stores the knowledge points, exercises and exercise answers of each chapter of the teaching material into the database by using a catalog of the teaching material as an index.
As a preferred embodiment of the present invention, the test paper analysis unit is further configured to analyze and count the occurrence frequency of the test paper question types, train an intelligent test paper analysis model according to the test paper, perform batch identification analysis on the test paper by using the intelligent test paper analysis model, and provide required factors for the test paper generation logic unit to randomly generate the test questions.
As a preferred embodiment of the present invention, the human-computer interaction unit is further configured to allow the teacher to input the number of the volume groups;
the paper-assembling logic unit is used for generating the test papers with the corresponding quantity, inquiring whether the test papers with the corresponding quantity have the same test questions, if so, reserving one test paper and replacing the same test questions of the rest quantity of test papers.
As a preferred embodiment of the present invention, the teaching material entry unit is further configured to import knowledge points, exercises and answers of the exercises of each chapter in the Excel table.
An intelligent teacher volume method comprises the following steps:
s1, inputting knowledge points, exercises and exercise answers of all chapters of the teaching material, and storing the mutual correlation among the knowledge points, the exercises and the exercise answers;
s2, acquiring the test paper disclosed or input by the teacher, analyzing and counting the knowledge points corresponding to the test paper questions and the value weights of the knowledge points;
s3, the teacher inputs the logic of the group paper and the question bank for the teacher to complete, wherein the logic of the group paper comprises the difficulty of the test paper and the knowledge point of the examination of the test paper;
and S4, obtaining test paper from the question bank or randomly generating test paper according to the paper-forming logic and knowledge point score weight input by the teacher.
In a preferred embodiment of the present invention, the association between the knowledge points, the exercises and the answers to the exercises stored in step S1 is specifically the degree of coincidence and the degree of complementation between the knowledge points, the exercises and the answers to the exercises, and if the degree of coincidence and the degree of complementation are high, the test question is randomly generated by the group paper logic unit according to the knowledge points.
As a preferred embodiment of the present invention, step S2 further includes analyzing and counting the frequency of occurrence of the question types of the test paper, training an intelligent test paper analysis model according to the test paper, performing batch identification analysis on the test paper by the intelligent test paper analysis model, and providing required factors for the test paper logic unit to randomly generate the test questions.
As a preferred embodiment of the present invention, the method further comprises the following steps:
and S5, checking the formed test paper for duplicate.
The invention has the beneficial effects that: the machine replaces manual paper grouping, the working efficiency is improved, paper grouping can be performed according to the score weights of the knowledge points, and the investigation weight of each knowledge point is reasonably set.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic block diagram of one embodiment of an intelligent teacher rollup system of the present invention;
FIG. 2 is a flowchart illustrating an embodiment of a method for intelligent teacher volume generation.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in FIG. 1, the invention provides an intelligent teacher paper-composing system, which comprises
The teaching material input unit is used for inputting knowledge points, exercises and exercise answers of all chapters of the teaching material and storing the mutual association among the knowledge points, the exercises and the exercise answers;
the test paper analysis unit is used for acquiring the test paper disclosed or input by a teacher, analyzing and counting the knowledge points corresponding to the test paper questions and the score weights of the knowledge points;
the human-computer interaction unit is used for the teacher to input the logic of the test paper and for the teacher to perfect the question bank, including the difficulty of the test paper and the knowledge points of the examination of the test paper;
the examination paper combination logic unit is used for acquiring examination paper combination from the question bank or randomly generating examination paper combination according to the examination paper combination logic input by the teacher and the score weight of the knowledge points;
and the database is used for storing the knowledge points, the exercises, the exercise answers, the associations, the score weights of the knowledge points and the question bank in a classified manner.
The association of the knowledge points, the exercises and the exercise answers is stored, namely the coincidence degree and the complementary degree of the knowledge points, the exercises and the exercise answers, and if the coincidence degree and the complementary degree are high, the paper combination logic unit randomly generates test questions according to the knowledge points. Specifically, for example, the knowledge points of the Chinese words include pinyin and characters of the words, the problem is that Chinese characters are written according to the pinyin or pinyin is written according to the Chinese characters or correct pinyin is selected, and it can be known that the knowledge points are obtained after the answers of the problem and the problem are complementary, and the knowledge points include similar words and antisense words of the words. For example, the application of a formula is examined in a math test paper, and the problem and the answer of the problem are knowledge points. For example, spelling of a word in a foreign language test paper gives a part of the word, the word is supplemented by an examinee, the coincidence degree of the exercises and the knowledge points is high, and the exercises and answers of the exercises are complemented to form the knowledge points to be investigated. Aiming at the problems which are only simple application to the knowledge points, the test questions can be generated randomly by the paper-making logic unit according to the knowledge points, and the paper-making logic unit is a rule-based system based on the rules set by the teacher.
The test paper analysis unit is also used for analyzing and counting the frequency of the test paper question types, training an intelligent test paper analysis model according to the test paper, carrying out batch identification analysis on the test paper by the intelligent test paper analysis model, and providing required factors for the test paper generation logic unit to randomly generate the test questions.
In the specific operation process, a plurality of key factors are extracted from the test questions and used as input vectors, knowledge points for examination of the test questions are used as output vectors, and when the test questions are randomly generated by the paper grouping logic unit, the knowledge points are used as the input vectors to output the key factors to be included in the test questions. And (4) judging the correctness of the randomly generated test questions by a teacher, and if errors occur, inputting the errors into the intelligent test paper analysis model as a correction function to avoid the same errors.
The method specifically comprises the steps of obtaining a test question group paper from a question library, dividing a question into a standard answer and a nonstandard answer, judging whether the question has question deformation logic or not for the question with the standard answer, if so, randomly deforming the question according to the question deformation logic, otherwise, randomly extracting the question; randomly extracting questions aiming at questions without standard answers; the questions with standard answers and the questions without standard answers are combined into a test paper.
The teaching material input unit adopts a web crawler technology to crawl knowledge points, exercises and exercise answers of all chapters or adopts an image recognition technology to recognize and store the knowledge points, the exercises and the exercise answers of all chapters of the teaching material, and the catalogue of the teaching material is used as an index to be stored in the database.
The human-computer interaction unit is also used for the teacher to input the number of the group volume;
and the paper combination logic unit is used for generating the test papers with the corresponding quantity, inquiring whether the test papers with the corresponding quantity have the same test questions, if so, reserving one test paper of the test papers, and replacing the same test questions of the rest quantity of the test papers.
And the teaching material recording unit is also used for importing the knowledge points, the exercises and the exercise answers of all the chapters in the Excel table.
As shown in fig. 2, the invention also discloses a teacher intelligent volume combination method, which comprises the following steps:
s1, inputting knowledge points, exercises and exercise answers of all chapters of the teaching material, and storing the mutual correlation among the knowledge points, the exercises and the exercise answers;
the association between the knowledge points, the exercises and the exercise answers stored in step S1 specifically refers to the coincidence degree and the complementation degree between the knowledge points, the exercises and the exercise answers, and if the coincidence degree and the complementation degree are high, the paper-making logic unit randomly generates test questions according to the knowledge points.
S2, acquiring the test paper disclosed or input by the teacher, analyzing and counting the knowledge points corresponding to the test paper questions and the value weights of the knowledge points;
step S2 also includes analyzing and counting the frequency of the test paper question type, training an intelligent test paper analysis model according to the test paper, carrying out batch identification analysis on the test paper by the intelligent test paper analysis model, and providing needed factors for the test paper logic unit to randomly generate the test paper.
S3, the teacher inputs the logic of the group paper and the question bank for the teacher to complete, wherein the logic of the group paper comprises the difficulty of the test paper and the knowledge point of the examination of the test paper;
and S4, obtaining test paper from the question bank or randomly generating test paper according to the paper-forming logic and knowledge point score weight input by the teacher.
And S5, checking the formed test paper for duplicate. The step is used for avoiding generating repeated test paper and avoiding cheating of examinees, and the step is specifically set according to the requirements of users.
According to the invention, manual paper grouping is replaced by a machine, so that the working efficiency is improved, paper grouping can be performed according to the score weights of the knowledge points, and the investigation weight of each knowledge point is reasonably set.
The present invention is not limited to the above preferred embodiments, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides a teacher intelligence group volume system which characterized in that: comprises that
The teaching material input unit is used for inputting knowledge points, exercises and exercise answers of all chapters of the teaching material and storing the mutual association among the knowledge points, the exercises and the exercise answers;
the test paper analysis unit is used for acquiring the test paper disclosed or input by a teacher, analyzing and counting the knowledge points corresponding to the test paper questions and the score weights of the knowledge points;
the human-computer interaction unit is used for the teacher to input the logic of the test paper and for the teacher to perfect the question bank, and the logic of the test paper comprises the difficulty of the test paper and the knowledge point of the examination of the test paper;
the examination paper combination logic unit is used for acquiring examination paper combination from the question bank or randomly generating examination paper combination according to the examination paper combination logic input by the teacher and the score weight of the knowledge points;
and the database is used for storing the knowledge points, the exercises, the exercise answers, the associations, the score weights of the knowledge points and the question bank in a classified manner.
2. The teacher intelligent volume system of claim 1, wherein: the association of the knowledge points, the exercises and the exercise answers is stored, namely the coincidence degree and the complementary degree of the knowledge points, the exercises and the exercise answers, and if the coincidence degree and the complementary degree are high, the paper combination logic unit randomly generates test questions according to the knowledge points.
3. The teacher intelligent volume system of claim 1, wherein: the teaching material input unit adopts a web crawler technology to crawl knowledge points, exercises and exercise answers of all chapters or adopts an image recognition technology to recognize and store the knowledge points, the exercises and the exercise answers of all chapters of the teaching material, and the catalogue of the teaching material is used as an index to be stored in the database.
4. The teacher intelligent volume system of claim 1, wherein: the test paper analysis unit is also used for analyzing and counting the frequency of the test paper question types, training an intelligent test paper analysis model according to the test paper, carrying out batch identification analysis on the test paper by the intelligent test paper analysis model, and providing required factors for the test paper generation logic unit to randomly generate the test questions.
5. The teacher intelligent volume system of claim 1, wherein: the human-computer interaction unit is also used for the teacher to input the number of the group volume;
the paper-assembling logic unit is used for generating the test papers with the corresponding quantity, inquiring whether the test papers with the corresponding quantity have the same test questions, if so, reserving one test paper and replacing the same test questions of the rest quantity of test papers.
6. The teacher intelligent volume system of claim 1, wherein: the teaching material recording unit is also used for importing knowledge points, exercises and exercise answers of all chapters in the Excel table.
7. An intelligent teacher volume method is characterized by comprising the following steps:
s1, inputting knowledge points, exercises and exercise answers of all chapters of the teaching material, and storing the mutual correlation among the knowledge points, the exercises and the exercise answers;
s2, acquiring the test paper disclosed or input by the teacher, analyzing and counting the knowledge points corresponding to the test paper questions and the value weights of the knowledge points;
s3, the teacher inputs the logic of the group paper and the question bank for the teacher to complete, wherein the logic of the group paper comprises the difficulty of the test paper and the knowledge point of the examination of the test paper;
and S4, obtaining test paper from the question bank or randomly generating test paper according to the paper-forming logic and knowledge point score weight input by the teacher.
8. The teacher intelligent test paper making method according to claim 7, wherein the association of the knowledge points, the exercises and the answers to the exercises stored in step S1 is specifically the degree of coincidence and the degree of complementation among the knowledge points, the exercises and the answers to the exercises, and if the degree of coincidence and the degree of complementation are high, the test paper logic unit randomly generates test papers according to the knowledge points.
9. The intelligent teacher organizing method of claim 7, wherein the step S2 further comprises analyzing and counting the frequency of the test paper question types, training an intelligent test paper analysis model according to the test paper, performing batch recognition analysis on the test paper by the intelligent test paper analysis model, and providing the required factors for the test paper logic unit to randomly generate the test paper.
10. The teacher intelligent volume method of claim 7, further comprising the steps of:
and S5, checking the formed test paper for duplicate.
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| CN114064842A (en) * | 2021-11-30 | 2022-02-18 | 江西智泉信息技术有限公司 | Training system and method for question bank data |
| CN115658928A (en) * | 2022-12-14 | 2023-01-31 | 成都泰盟软件有限公司 | Method and device for assembling test paper, computer equipment and storage medium |
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