Intelligent test paper composition system for advanced mathematics

Abstract

The invention relates to the technical field of intelligent test paper generation systems, and discloses an advanced mathematics intelligent test paper generation system, which comprises a user management module used for verifying login information input by a target user and storing an operation record of the target user in an intelligent test paper library management system; the test question label management module is used for loading a corresponding preset question bank and a preset test paper template according to the user information of the target user, and displaying the corresponding preset question bank and the preset test paper template; and the test question generation module is used for receiving a label condition set by the target user, and selecting a target test paper generation template from the preset test paper generation templates according to the label condition. According to the method, the proper template is selected according to the knowledge mastering condition of the students, and finally the design of the test paper is completed. According to the invention, test papers with different difficulty coefficients are finally generated according to the learning level of students, and the efficiency and scientificity of teaching evaluation are improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent test paper generation systems, and in particular to an intelligent test paper generation system for higher mathematics. Background Technology

[0002] In modern school teaching and management, "examinations," as a component of the teaching process, are essentially used to assess student learning outcomes and reflect teachers' teaching levels and effectiveness. Traditional manual test paper creation methods are prone to issues such as identical questions to previous years, unreasonable assessment of knowledge points, and errors in writing or printing. Furthermore, they are unsuitable for the demands of online teaching. With the development and progress of education, the application of intelligent test paper management systems in educational systems has yielded positive results. A question bank is an important teaching resource, and its construction and improvement provide strong support for evaluating teaching quality and standards. Test papers are the output element of the question bank; generating scientifically sound assessment papers using existing question banks is the embodiment of the question bank's value. However, the difficulty levels of assessment papers generated by existing intelligent test paper management systems vary widely, failing to improve the efficiency and scientific rigor of teaching assessment. AIGC, or Artificial Intelligence Generated Content, refers to technologies based on generative adversarial networks (GANs), large-scale pre-trained models, and other artificial intelligence methods. It learns from and identifies existing data to generate relevant content with appropriate generalization capabilities. The core idea of ​​AIGC is to utilize artificial intelligence algorithms to generate content with a certain degree of creativity and quality. Through training models and learning from large amounts of data, AIGC can generate relevant content based on input conditions or guidance, improving the user experience of human-computer interaction. It can classify and process existing advanced mathematics problems and reorganize them into a set of on-demand exam papers, demonstrating promising application prospects. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide an intelligent test paper generation system for advanced mathematics in order to overcome the problems mentioned above.

[0004] The technical problem solved by this invention is achieved through the following technical solution: A high-level mathematics intelligent test paper generation system, characterized in that: This includes a working system based on AIGC technology and a volume creation system embedded within that system; The test paper generation system includes a user management module, which is used to verify the login information entered by the target user and to store the operation records of the target user in the intelligent test paper library management system. The test question tag management module is used to load the corresponding preset question bank and preset test paper template according to the user information of the target user, and to display the corresponding preset question bank and preset test paper template. The test question generation module is used to receive the tag conditions set by the target user, select the target test paper template from the preset test paper template according to the tag conditions, and obtain a standard test paper with question stems, question numbers and corresponding answers. The format output module outputs the test paper content generated by the test question generation module to a Word document. For the attached images in the question stem, it converts them into LaTeX format and pastes them into the Word document.

[0005] Preferably, the test question tag management module includes question type tags, question difficulty tags, question test point tags, question keyword tags, question score tags, and question expected answer time tags.

[0006] Preferably, the calculation logic formula for the question difficulty label module is: Dc=1-A / T, where Dc represents the difficulty label value of the question, A represents the average score of the examinee, and T represents the full score.

[0007] Preferably, the number of test samples for A is not less than 50.

[0008] Preferably, the test papers are randomly generated or comprehensively generated depending on the method of generating the test papers. The random generation of test papers is carried out by a single sampling, while the comprehensive generation of test papers is carried out by multiple samplings.

[0009] Preferably, the step of classifying the test questions in the candidate library according to the course categories in the test paper generation conditions and generating a classification array according to the number of course categories specifically includes: classifying the test questions in the candidate library according to the course categories, generating a list collection as a classification array according to the number of course categories, where the subscript of the list collection represents the index, the content corresponding to the index is the course category, and each course category corresponds to a subset used to store the corresponding sub-category.

[0010] Preferably, the estimated time tag for answering the question is used to control the time taken to answer the entire test paper, and the question generation module has verification logic to accumulate the estimated time for answering the question and then perform time weighting before generating the question.

[0011] Preferably, the time weighting is the sum of the cumulative time of the expected answer time tag for the question multiplied by half the difficulty of the question.

[0012] The advantages and positive effects of this invention are: Using AICG as a medium, advanced mathematics knowledge test questions are modularized and stored in a database. By linking tags, test questions that meet the user's needs can be reorganized into a complete test paper, which greatly improves the personalization and efficiency of mathematics teaching and provides students with a richer learning experience. Furthermore, this system requires designated account login to ensure the uniqueness, completeness, and traceability of the exam papers. Based on the purpose of the exam, the system assesses students' mastery of specified knowledge points. By considering factors such as difficulty level, question type, key concepts, keywords, point values, and estimated time required to answer each question, the system determines eligible candidates and arranges the questions in the order they appear in the exam, thus generating an exam paper. Students can select a suitable template based on their knowledge level to complete the final exam paper design. In this invention, exam papers of varying difficulty levels are generated based on students' learning levels, improving the efficiency and scientific rigor of teaching assessment. Attached Figure Description

[0013] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0014] Figure 1 This is a system design block diagram of the present invention; Figure 2 This is a flowchart of the processing procedure of the present invention. Detailed Implementation

[0015] The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, illustrating only the basic structure of the invention, and therefore only show the components relevant to the invention. The embodiments of the invention are further described in detail below with reference to the accompanying drawings: A high-level mathematics intelligent test paper generation system, characterized in that: This includes a working system based on AIGC technology and a volume creation system embedded in that system; The test paper generation system includes a user management module, which is used to verify the login information entered by the target user and to store the operation records of the target user in the intelligent test paper library management system. The test question tag management module is used to load the corresponding preset question bank and preset test paper template according to the user information of the target user, and to display the corresponding preset question bank and preset test paper template. The test question generation module is used to receive the tag conditions set by the target user, select the target test paper template from the preset test paper template according to the tag conditions, and obtain a standard test paper with question stems, question numbers and corresponding answers. The format output module outputs the test paper content generated by the test question generation module to a Word document. For the attached images in the question stems, the images are converted to LaTeX format and then pasted into the Word document. Preferably, the test question tag management module includes tags for question type, question difficulty, question test point, question keywords, question score, and question estimated answer time.

[0016] Preferably, the calculation logic formula for the question difficulty label module is: Dc=1-A / T, where Dc represents the difficulty label value of the question, A represents the average score of the examinee, and T represents the full score.

[0017] Preferably, the number of test samples for A is not less than 50.

[0018] Preferably, the test papers are randomly generated or comprehensively generated depending on the method of generating the test papers. The random generation of test papers is carried out by a single sampling, while the comprehensive generation of test papers is carried out by multiple samplings.

[0019] Preferably, the step of classifying the test questions in the candidate library according to the course categories in the test paper generation conditions and generating a classification array according to the number of course categories specifically includes: classifying the test questions in the candidate library according to the course categories, generating a list collection as a classification array according to the number of course categories, where the subscript of the list collection represents the index, the content corresponding to the index is the course category, and each course category corresponds to a subset used to store the corresponding sub-category.

[0020] Preferably, the estimated time tag for answering the question is used to control the time taken to answer the entire test paper, and the question generation module has verification logic to accumulate the estimated time for answering the question and then perform time weighting before generating the question.

[0021] Preferably, the time weighting is the sum of the cumulative time of the expected answer time tag for the question multiplied by half the difficulty of the question.

[0022] It should be emphasized that the embodiments described in this invention are illustrative rather than limiting. Therefore, this invention is not limited to the embodiments described in the specific implementation. Any other implementation methods derived by those skilled in the art based on the technical solutions of this invention also fall within the scope of protection of this invention.

Claims

1. A high-level mathematics intelligent test paper generation system, characterized in that: This includes a working system based on AIGC technology and a volume creation system embedded within that system; The test paper generation system includes a user management module, which is used to verify the login information entered by the target user and to store the operation records of the target user in the intelligent test paper library management system. The test question tag management module is used to load the corresponding preset question bank and preset test paper template according to the user information of the target user, and to display the corresponding preset question bank and preset test paper template. The test question generation module is used to receive the tag conditions set by the target user, select the target test paper template from the preset test paper template according to the tag conditions, and obtain a standard test paper with question stems, question numbers and corresponding answers. The format output module outputs the test paper content generated by the test question generation module to a Word document. For the attached images in the question stem, it converts them into LaTeX format and pastes them into the Word document.

2. The intelligent test paper generation system for advanced mathematics according to claim 1, characterized in that: The test question tag management module includes question type tags, question difficulty tags, question test point tags, question keyword tags, question score tags, and question estimated answer time tags.

3. The intelligent test paper generation system for advanced mathematics according to claim 2, characterized in that: The calculation logic formula for the question difficulty label module is: Dc=1-A / T, where Dc represents the difficulty label value of the question, A represents the average score of the examinee, and T represents the full score.

4. The intelligent test paper generation system for advanced mathematics according to claim 3, characterized in that: The number of test samples for A shall not be less than 50.

5. The intelligent test paper generation system for advanced mathematics according to claim 4, characterized in that: Depending on the method of test paper generation, either random test papers or comprehensive test papers may be generated. Random test papers are generated in a single draw, while comprehensive test papers are generated through multiple draws.

6. The intelligent test paper generation system for advanced mathematics according to claim 5, characterized in that: The step of classifying the test questions in the candidate library according to the course categories in the test paper generation conditions and generating a classification array according to the number of course categories specifically includes: classifying the test questions in the candidate library according to the course categories, generating a list collection as a classification array according to the number of course categories, where the subscript of the list collection represents the index, the content corresponding to the index is the course category, and each course category corresponds to a subset used to store the corresponding subcategories.

7. The intelligent test paper generation system for advanced mathematics according to claim 6, characterized in that: The estimated time tag for answering the questions is used to control the time taken to answer the entire test paper. The question generation module has verification logic to accumulate the estimated time for answering the questions and then perform time weighting before generating the questions.

8. The intelligent test paper generation system for advanced mathematics according to claim 7, characterized in that: The time-weighted average is calculated by multiplying the total estimated time for answering the question by half the difficulty level of the question.

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