Intelligent education question bank construction and reviewing system

Abstract

The invention relates to an intelligent education question bank construction and reviewing system, and aims to improve the efficiency and quality of examination question generation and reviewing through automatic and intelligent means. The system integrates a plurality of functional modules such as test question automatic generation, question bank management, intelligent test paper composition, test paper release and recovery, automatic scoring and feedback and the like, and a complete education question bank construction and reviewing process is formed. The system has the remarkable advantages of high examination question generation efficiency, good examination question quality, accurate intelligent reading, convenient examination paper composition and examination paper marking functions and the like, provides powerful support for teaching management in the education field, is helpful for improving the teaching efficiency and quality, and promotes the comprehensive development of students.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence and educational technology, and in particular to an intelligent education question bank construction and marking system. Background Art

[0002] In the traditional way of generating and marking test questions, teachers usually need to spend a lot of time and energy to manually write test questions. This process is not only inefficient, but also the quality of the test questions is difficult to guarantee. Due to the subjectivity and randomness of manual questions, there are often problems such as repetition, biased questions, and varying degrees of difficulty in the test questions, which not only affects the fairness and accuracy of the test, but also brings troubles to students' learning.

[0003] In terms of exam marking, the traditional marking method requires a lot of manpower, a large workload and a long time. At the same time, due to the subjective factors in the marking process, different examiners may give different scores to the same answer sheet, which further affects the fairness and accuracy of the exam.

[0004] In order to solve the above problems, in recent years, with the continuous development of artificial intelligence technology, some artificial intelligence-based test generation and marking systems have emerged. These systems have improved the efficiency of test generation and marking to a certain extent, but there are still some shortcomings.

[0005] First, the existing AI test question generation system lacks flexibility and personalization, and is unable to generate test questions that meet the requirements according to the specific syllabus and teaching objectives. As a result, the generated test questions may not accurately reflect the teaching content and teaching objectives, thus affecting the effectiveness of the test.

[0006] Secondly, existing systems also have shortcomings in intelligent grading. Although these systems can automatically grade objective questions, they are still not accurate enough for subjective questions. Since subjective questions require understanding the answer content and in-depth analysis, the existing systems have limited semantic understanding and analysis capabilities, so they cannot accurately evaluate students' answers.

[0007] In addition, the existing AI test generation and grading systems have relatively simple functions and lack key functions such as test paper composition and grading. This means that teachers still need to perform a lot of manual operations when using these systems, and cannot truly achieve automated and intelligent teaching management.

[0008] Therefore, it is necessary to develop a more intelligent, efficient and flexible test generation and marking system to solve the problems of the existing system and meet the urgent needs of the education field for automated and intelligent teaching management. Summary of the invention

[0009] In order to solve the problems of the prior art, the present invention provides an intelligent education question bank construction and marking system.

[0010] In order to solve the above technical problems, the present invention is implemented by the following technical solutions: an intelligent education question bank construction and review system, comprising:

[0011] The automatic test question generation unit receives the teaching syllabus as input, uses a pre-trained large language model to analyze and understand the teaching content, and automatically generates test questions that meet the requirements based on preset parameters such as question type, difficulty level, and knowledge point coverage;

[0012] A question bank storage and management unit, which is used to store the test questions generated by the test question automatic generation unit, and provides search, classification, editing and update functions for the question bank, so that teachers can filter and modify the test questions according to their needs;

[0013] An intelligent test paper generating unit, which automatically selects test questions from the question bank storage and management unit to generate a personalized test paper according to the test paper structure, question type ratio, difficulty distribution and other requirements set by the teacher;

[0014] The test paper publishing and collection unit is used to publish the generated test paper to the student's learning platform, receive the answer sheet submitted by the student, and record the time when the answer sheet is submitted;

[0015] The automatic scoring and feedback unit automatically scores objective questions by comparing them with standard answers, and uses a large language model to perform semantic analysis on subjective questions. It automatically gives scores based on the degree of match between the answer content and the preset scoring criteria, and provides an interface for teachers to review and manually adjust the scores.

[0016] In this implementation, the pre-trained large language model (LLM) is used to deeply understand and analyze the teaching content, thereby automatically generating test questions that meet the teaching needs. The system combines artificial intelligence technology, data processing technology, and educational teaching theory to improve the efficiency and accuracy of educational assessment while reducing the workload of teachers;

[0017] The specific steps are as follows:

[0018] Step 1: The system first receives the teaching syllabus as input, which contains key information such as teaching objectives, knowledge points, and teaching difficulty.

[0019] Step 2: Using a pre-trained large language model, the system conducts an in-depth analysis of the syllabus to extract key knowledge points and teaching requirements.

[0020] Step 3: The system fetches materials related to the teaching content from the Internet or other teaching resource libraries. These materials include but are not limited to textbooks, teaching materials, exercise books, etc.

[0021] Step 4: Based on the test question generation algorithm of the large language model, the system integrates the parsed teaching content and the captured network resources, and automatically generates test questions that meet the requirements according to preset parameters such as question type, difficulty level, knowledge point coverage, etc.

[0022] Step 5: The generated test questions are stored in the question bank, which is classified and managed according to attributes such as question type, difficulty, and knowledge points.

[0023] Step 6: The system provides a question bank editing interface, allowing teachers to edit, update or delete test questions in the question bank online to ensure the timeliness and accuracy of the question bank.

[0024] Step 7: Teachers can customize the structure, question type distribution and score ratio of the test paper based on teaching needs through the test paper template setting module provided by the system.

[0025] Step 8: The intelligent test-writing unit automatically selects test questions from the question bank and generates personalized test papers according to the requirements set by the teacher.

[0026] Step 9: After the test paper is compiled, the system provides a test paper preview function, allowing teachers to make final checks and adjustments.

[0027] Step 10: The system publishes the generated test paper to the student's learning platform or system through the test paper publishing channel management module.

[0028] Step 11: After the student completes the answer sheet, the system receives and stores the answer sheet to ensure the security and integrity of the answer sheet.

[0029] Step 12: For objective questions, the system uses an exact matching algorithm to automatically score.

[0030] Step 13: For subjective questions, the system uses the semantic understanding capabilities of a large language model to conduct an in-depth analysis of the answer content and give a reasonable score.

[0031] Step 14: The system provides a teacher scoring review interface, allowing teachers to view automatic scoring results and make manual adjustments to ensure the accuracy and fairness of the scoring.

[0032] Step 15: Finally, the system provides feedback to teachers and students, including test scores, analysis of wrong questions, etc., so that teachers and students can understand the learning outcomes and improvement directions.

[0033] In a specific implementation, the test question automatic generation unit includes:

[0034] Teaching content analysis module, used to analyze the teaching syllabus and extract key knowledge points and teaching requirements;

[0035] Network resource crawling module, used to obtain materials related to teaching content from the Internet;

[0036] The test question generation algorithm integrates the parsed teaching content and captured network resources based on a large language model to generate test questions that meet the requirements.

[0037] In a specific implementation, the question bank storage and management unit includes:

[0038] The exam question classification module manages exam questions by category, difficulty, knowledge points and other attributes;

[0039] The test question editing interface allows teachers to edit, update or delete test questions in the question bank online.

[0040] In a specific implementation, the intelligent test-taking unit includes:

[0041] The test paper template setting module allows teachers to customize the test paper structure, question type distribution and score ratio;

[0042] The test paper preview function provides a preview of the test paper after it is completed, so that teachers can make final checks and adjustments.

[0043] In a specific implementation, the test paper issuing and collecting unit includes:

[0044] Test paper release channel management, supporting test paper release on multiple learning platforms or systems;

[0045] Answer sheet collection and storage ensures that answer sheets submitted by students are stored safely to facilitate subsequent scoring and analysis.

[0046] In a specific implementation, the automatic scoring and feedback unit includes:

[0047] The objective question scoring module uses an exact matching algorithm to automatically score;

[0048] The subjective question scoring algorithm, based on the semantic understanding ability of a large language model, conducts in-depth analysis of the answers to subjective questions and gives a reasonable score;

[0049] The teacher scoring review interface provides teachers with the function of viewing automatic scoring results and making manual adjustments.

[0050] The beneficial effects of the present invention are:

[0051] 1. The present invention can automatically generate test questions that meet the requirements of the syllabus through algorithms and models. This function greatly reduces the burden on teachers, freeing them from the tedious work of setting questions, so that they can devote more time and energy to teaching research and quality improvement. At the same time, the automatic generation of test questions also ensures the timeliness and pertinence of the test questions, which helps to smoothly advance the teaching progress and steadily improve the teaching quality.

[0052] 2. Thanks to the ability of the big model to learn from massive data, the test questions generated by the present invention are not only numerous but also of high quality. These test questions can more accurately reflect the teaching objectives and test requirements, helping students to better grasp the key points and difficulties in the process of preparing for the test. In addition, by continuously optimizing and adjusting the algorithm model, the system can also continuously generate novel and diverse test questions, avoiding students from falling into the misunderstanding of mechanical memory and test-taking skills, and truly promoting students' understanding and mastery of knowledge.

[0053] 3. The built-in intelligent marking module of the present invention can automatically mark according to the preset test points, greatly improving the efficiency of marking. This function not only reduces labor costs, but also reduces errors caused by human factors, ensuring the fairness and accuracy of the marking results. At the same time, intelligent marking can also provide timely feedback on students' answers and provide teachers with targeted teaching suggestions, which helps teachers better understand students' learning conditions and adjust teaching strategies and methods in a timely manner.

[0054] 4. The present invention also provides convenient test paper composition and grading functions, so that teachers can easily manage teaching. Through simple operations, teachers can quickly assemble test papers that meet teaching needs and adjust the difficulty and question type distribution of the test papers as needed. In the grading stage, the system can automatically count and analyze students' answer data, provide teachers with detailed teaching feedback and evaluation reports, help teachers understand students' learning situation more comprehensively, and provide strong support for subsequent teaching work. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is a schematic diagram of the internal structure of the system of the present invention.

[0056] Figure 2 It is a schematic diagram of the system flow framework of the present invention. DETAILED DESCRIPTION

[0057] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] like Figure 1 , Figure 2 The intelligent education question bank construction and marking system shown includes: an automatic test question generation unit, which receives the teaching syllabus as input, uses a pre-trained large language model to analyze and understand the teaching content, and automatically generates test questions that meet the requirements according to preset parameters such as question type, difficulty level, knowledge point coverage, etc.; a question bank storage and management unit, which is used to store the test questions generated by the automatic test question generation unit, and provides search, classification, editing and update functions for the question bank, so that teachers can screen and modify test questions according to needs; an intelligent test paper unit, which automatically selects test questions from the question bank storage and management unit according to the test paper structure, question type ratio, difficulty distribution and other requirements set by the teacher, and generates personalized test papers; a test paper publishing and recycling unit, which is used to publish the generated test papers to the student's learning platform, receive the answer papers submitted by the students, and record the time when the answer papers are submitted; an automatic scoring and feedback unit, which automatically scores objective questions by comparing with standard answers, and performs semantic analysis on subjective questions using a large language model, automatically gives scores according to the degree of matching between the answer content and the preset scoring standard, and provides an interface for teachers to review and manually adjust the scores.

[0059] The automatic test question generation unit further includes: a teaching content analysis module, which is used to analyze the teaching outline and extract key knowledge points and teaching requirements; a network resource crawling module, which is used to obtain information related to the teaching content from the Internet; a test question generation algorithm, which integrates the analyzed teaching content and the crawled network resources based on a large language model to generate test questions that meet the requirements.

[0060] The question bank storage and management unit also includes: a test question classification module, which classifies and manages test questions according to question type, difficulty, knowledge points and other attributes; a test question editing interface, which allows teachers to edit, update or delete test questions in the question bank online.

[0061] The intelligent test-setting unit also includes: a test paper template setting module that allows teachers to customize the test paper structure, question type distribution and score ratio;

[0062] The test paper preview function provides a preview of the test paper after it is completed, so that teachers can make final checks and adjustments.

[0063] The paper release and collection unit also includes: paper release channel management, supporting the release of paper on multiple learning platforms or systems; answer paper collection and storage, ensuring the safe storage of answer papers submitted by students for subsequent scoring and analysis.

[0064] The automatic scoring and feedback unit also includes: an objective question scoring module that uses an exact matching algorithm for automatic scoring; a subjective question scoring algorithm that, based on the semantic understanding ability of a large language model, conducts in-depth analysis of the answers to subjective questions and gives a reasonable score;

[0065] The teacher scoring review interface provides teachers with the function of viewing automatic scoring results and making manual adjustments.

[0066] Overall system structure:

[0067] The overall structure of the system of the present invention comprises an automatic test question generation unit, a question bank storage and management unit, an intelligent test paper composition unit, a test paper publishing and collection unit, and an automatic scoring and feedback unit.

[0068] Test question automatic generation unit:

[0069] This module uses a pre-trained large model to automatically generate test questions that meet the requirements based on the syllabus content. This module mainly includes the following steps:

[0070] a) Receive the contents of the teaching syllabus and analyze the knowledge points, teaching objectives, difficulty requirements and other information of the teaching syllabus.

[0071] b) According to the contents of the syllabus, obtain relevant teaching resources from the Internet, including textbooks, teaching materials, exercises, etc.

[0072] c) Use the big model to analyze teaching resources and generate test questions that meet the requirements based on different question types.

[0073] Question bank storage and management unit:

[0074] This module is responsible for storing and managing the generated test questions, and provides functions such as search, screening, and modification.

[0075] Intelligent test unit:

[0076] This module automatically selects test questions from the question bank and compiles the test paper according to the test paper structure set by the teacher, and generates the test paper file.

[0077] Test paper issuing and collection unit:

[0078] This module is responsible for issuing the generated test papers to students and receiving students' answer sheets.

[0079] Automatic Grading and Feedback Unit:

[0080] This module is responsible for automatically marking students' answer sheets. For objective questions, the system automatically compares the answers to see if they are consistent; for subjective questions, the big model will determine whether the answers meet the requirements based on the preset test points and give a score.

[0081] Example: Teacher uploads the syllabus and sets exam requirements:

[0082] Teachers select the "Upload Outline" function to upload the syllabus file to the system.

[0083] Teachers set the test question types and difficulty requirements based on teaching objectives and actual conditions. For example: 10 multiple-choice questions, 10 true-or-false questions, and 10 essay questions, with a medium difficulty level.

[0084] The system automatically generates test questions:

[0085] According to the syllabus content and examination requirements, the system uses a large model to obtain relevant content from the Internet and generate examination questions that meet the requirements.

[0086] Teachers create and publish test papers:

[0087] The teacher selects the "Test Paper Compilation" function, chooses appropriate test questions from the generated test question bank, and compiles the test paper.

[0088] The teacher selects the "Publish Test Paper" function to publish the completed test paper to the students.

[0089] Student answers:

[0090] Students receive the test papers and answer the questions.

[0091] Automatic review by the system:

[0092] After students submit their answers, the system automatically reviews them. For objective questions, the system automatically compares the answers to see if they are consistent; for subjective questions, the big model will determine whether the answers meet the requirements based on the preset test points and give a score.

[0093] Teachers review the test paper:

[0094] Teachers can view students' test responses and modify the scores for each question.

[0095] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Intelligent education question bank construction and review system, characterized by: include: The automatic test question generation unit receives the teaching syllabus as input, uses a pre-trained large language model to analyze and understand the teaching content, and automatically generates test questions that meet the requirements based on preset parameters such as question type, difficulty level, and knowledge point coverage; A question bank storage and management unit, which is used to store the test questions generated by the test question automatic generation unit, and provides search, classification, editing and update functions for the question bank, so that teachers can filter and modify the test questions according to their needs; An intelligent test paper generating unit, which automatically selects test questions from the question bank storage and management unit to generate a personalized test paper according to the test paper structure, question type ratio, difficulty distribution and other requirements set by the teacher; The test paper publishing and collection unit is used to publish the generated test paper to the student's learning platform, receive the answer sheet submitted by the student, and record the time when the answer sheet is submitted; The automatic scoring and feedback unit automatically scores objective questions by comparing them with standard answers, and uses a large language model to perform semantic analysis on subjective questions. It automatically gives scores based on the degree of match between the answer content and the preset scoring criteria, and provides an interface for teachers to review and manually adjust the scores.

2. The intelligent education question bank construction and marking system according to claim 1, characterized in that: The test question automatic generation unit further comprises: Teaching content analysis module, used to analyze the teaching syllabus and extract key knowledge points and teaching requirements; Network resource crawling module, used to obtain materials related to teaching content from the Internet; The test question generation algorithm integrates the parsed teaching content and captured network resources based on a large language model to generate test questions that meet the requirements.

3. The intelligent education question bank construction and marking system according to claim 1, characterized in that: The question bank storage and management unit also includes: The exam question classification module manages exam questions by category, difficulty, knowledge points and other attributes; The test question editing interface allows teachers to edit, update or delete test questions in the question bank online.

4. The intelligent education question bank construction and marking system according to claim 1, characterized in that: The intelligent test paper forming unit also includes: The test paper template setting module allows teachers to customize the test paper structure, question type distribution and score ratio; The test paper preview function provides a preview of the test paper after it is completed, so that teachers can make final checks and adjustments.

5. The intelligent education question bank construction and marking system according to claim 1, characterized in that: The test paper issuing and recycling unit also includes: Test paper release channel management, supporting test paper release on multiple learning platforms or systems; Answer sheet collection and storage ensures that answer sheets submitted by students are stored safely to facilitate subsequent scoring and analysis.

6. The intelligent education question bank construction and marking system according to claim 1, characterized in that: The automatic scoring and feedback unit also includes: The objective question scoring module uses an exact matching algorithm to automatically score; The subjective question scoring algorithm, based on the semantic understanding ability of a large language model, conducts in-depth analysis of the answers to subjective questions and gives a reasonable score; The teacher scoring review interface provides teachers with the function of viewing automatic scoring results and making manual adjustments.

Images