Diagnostic tool for digital intelligence teaching
Through digital teaching diagnostic tools, real-time feedback of teaching interactions and recording of learning processes are achieved, solving the problems of insufficient interaction and inconvenient data management in traditional teaching tools, providing personalized review materials, and improving learning effects and efficiency.
Patent Information
- Application Number
- CN202511031889.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-25
- Publication Date
- 2025-09-19
AI Technical Summary
Traditional teaching tools lack real-time interactive feedback, cannot record student learning details, have cumbersome exam management, inconvenient data storage, and lack personalized review materials, which affect learning effectiveness and efficiency.
Digital teaching diagnostic tools are used, including network-connected display modules, audio modules, screen recording modules, online examination modules, network-connected touch pens and mobile terminals, to achieve teaching interaction, learning process tracking, examination management and data storage. Cloud storage and local storage are combined, and biometric modules are used to prevent cheating in exams. Personalized review materials are automatically pushed based on the examination report.
It improves teaching interactivity and learning outcomes, accurately records students' learning progress, reduces the error rate, provides personalized review materials, and improves review efficiency and exam fairness.
Smart Images

Figure CN120673637A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the field of intelligent teaching technology, and specifically relates to a digital intelligent teaching diagnosis tool. Background Art
[0002] In today's education sector, while traditional teaching tools have played an important role for a period, their shortcomings are becoming increasingly apparent with the development of educational informatization. Regarding interactive teaching, traditional teaching relies heavily on teachers' oral explanations and blackboard writing, leaving students passively accepting knowledge and lacking real-time interactive feedback. Teachers struggle to instantly assess students' understanding, and students are unable to promptly ask questions. This results in problems being left unresolved during the teaching process, impacting learning outcomes. Regarding learning process tracking, traditional tools fail to capture detailed student learning, making it difficult for teachers to fully grasp students' learning habits, key areas of difficulty, and lacking targeted instruction. Regarding exam management, traditional methods require printing and distributing test papers, a cumbersome and error-prone process. It also makes it difficult to accurately record and analyze each student's performance, hindering the rapid identification of weaknesses. Data storage and access are also inconvenient. Traditional teaching data is often stored locally, making it prone to loss and inconvenient for teachers and students to access historical data anytime, anywhere. Furthermore, post-exam practice sessions lack records, resulting in a lack of comprehensive assessment of student performance. Consequently, review materials provided to students lack personalization and cannot be accurately delivered based on student performance and weaknesses, impacting review efficiency. Therefore, the development of a digitally intelligent teaching diagnostic tool is crucial. Summary of the Invention
[0003] In view of the above, the present invention provides a digital teaching diagnostic tool to solve the problems raised in the above background technology.
[0004] A technical solution provided according to the present invention is: a digital teaching diagnostic tool, comprising: a network interconnected display module, including a teaching screen used by teachers for teaching and a learning screen used by students for learning, the teaching screen and the learning screen are connected via a wireless network, when the teacher puts teaching materials on the teaching screen, they are synchronously displayed on the learning screen in front of the students, thereby conducting teaching; the learning screen is equipped with an audio module and a screen recording module, the audio module records the teacher's teaching, marks the teaching knowledge points and pops up exercises to facilitate students to review, the screen recording module records and analyzes the students' learning process using the learning screen, and transmits it back to the teaching screen for the teacher to record and track; an online examination module, comprising a test paper distribution terminal with the teaching screen as the host and a test paper receiving terminal with each student's learning screen as the extension, each student's learning screen has an independent IP number, when distributing the test paper, the teaching screen will transmit the electronic test paper to the corresponding student according to each independent IP number The online exam can be taken on the learning screen; the network-connected touch pen includes a built-in coding label, an identification unit for judging the subjective questions on the test paper, an AI-assisted analysis unit for analyzing and judging the objective questions on the test paper, and a first acquisition module for automatically collecting the correct and incorrect answers on the test paper to form the test score data, and a first comprehensive analysis module for automatically recording the correct and incorrect answers on the test paper to generate a test report and send it to the teaching screen; it also includes a mobile terminal that students usually use, and the mobile terminal is equipped with a second acquisition module and a second comprehensive analysis module for collecting students' usual practice. When logging in to the mobile terminal with an independent IP number and practicing on the mobile terminal with the network-connected touch pen, the second acquisition module collects the practice data of the course review and knowledge point exercises after class to form the usual score data, and generates a practice report based on the usual practice score through the second comprehensive analysis module and sends it to the teaching screen; the teacher manually analyzes the test report and practice report sent to the teaching screen to generate a comprehensive score analysis report.
[0005] Preferably, each coding label corresponds to each independent IP number, thereby realizing the record analysis of each student's test paper situation.
[0006] Preferably, the learning screen also has a built-in biometric module for performing identity verification when students use the learning screen to prevent cheating during the examination.
[0007] Preferably, the biometric recognition module includes a fingerprint recognition unit and a facial recognition unit. When students log in to the learning screen, they need to verify their identity through fingerprint or facial information, and can receive electronic test papers only after the verification is passed.
[0008] Preferably, the network interconnection display module also includes a data storage module for storing the teaching audio recorded by the audio module, the learning process video recorded by the screen recording module and the test data generated by the online test module.
[0009] Preferably, the data storage module adopts a combination of cloud storage and local storage, where local storage is used to temporarily save data and cloud storage is used for long-term backup, and supports teachers and students to access historical data anytime and anywhere through authorized accounts.
[0010] Preferably, the teaching screen also has a built-in interactive feedback module, and the teacher can send question information to the learning screen of the designated student through the teaching screen. After receiving the question through the learning screen, the student uses the network-connected touch pen to answer on the learning screen. The answer content is transmitted back to the teaching screen in real time, and the teacher can view and comment on it immediately; at the same time, the interactive feedback module also supports students to send question marks to the teaching screen through the learning screen, and the teacher gives targeted explanations during the teaching process based on the content of the question mark.
[0011] The specific steps of a comprehensive analysis method of a digital teaching diagnostic tool according to the present invention during online examinations and daily practice are as follows:
[0012] 1. The teaching screen will transmit the electronic test paper to the corresponding student's learning screen according to each independent IP number;
[0013] 2. Students use the network-connected touch pen with the corresponding coded label to answer questions on the learning screen;
[0014] 3. The recognition unit of the network-connected touch pen judges subjective questions by analyzing the semantics of students' written content, keyword matching, and logical coherence. The AI-assisted analysis unit judges objective questions by comparing answers, analyzing option distribution statistics, and classifying error types. When generating test reports, the comprehensive analysis module can also simultaneously calculate the accuracy and error rates of each knowledge point and mark frequently incorrect questions and corresponding weak links in the knowledge points.
[0015] 4. The teacher manually analyzes the test reports and practice reports uploaded on the teaching screen to gain a good understanding of each student's learning situation and facilitate subsequent targeted teaching. The teacher operates the teaching screen to automatically push targeted review materials and practice questions to the corresponding student's learning screen based on the weak links in the knowledge points in the test reports and practice reports; the review materials include knowledge point analysis videos, explanations of similar examples and tiered practice questions, and the difficulty of the practice questions is dynamically adjusted according to the students' test scores. Students with better scores are pushed advanced questions, and students with poor scores are pushed basic consolidation questions.
[0016] The present invention provides a digital teaching diagnosis tool. In terms of teaching interaction, the network interconnected display and interactive feedback module realizes real-time synchronization of the teaching screen and the learning screen, allowing teachers and students to communicate in a timely manner. The teacher can immediately comment on the students' answers, and the students can also quickly feedback their questions, which greatly improves the teaching interactivity and enhances the learning effect.
[0017] In terms of learning process tracking, the screen recording module fully records the students' learning process, providing teachers with a comprehensive analysis basis and facilitating targeted teaching. In terms of exam management, the online exam module accurately distributes exam papers, and the network-connected touch pen intelligently analyzes exam papers, quickly generating detailed exam reports to help teachers understand students' situations. During regular practice, users use an independent IP number to log in to the mobile terminal. When practicing on the mobile terminal with the network-connected touch pen, the second acquisition module collects the data of regular practice, and generates a practice report based on the regular practice results through the second comprehensive analysis module and sends it to the teaching screen. The teacher manually analyzes the exam report and practice report uploaded on the teaching screen to master each student's learning situation and facilitate subsequent targeted teaching.
[0018] Data storage utilizes a combination of cloud and local storage, allowing teachers and students to easily access historical data at any time. A biometric recognition module effectively prevents cheating and ensures exam fairness. Furthermore, the tool automatically delivers personalized review materials based on exam reports, meeting the needs of individual students, improving review efficiency, and helping students better grasp knowledge, further advancing the development of intelligent and personalized education. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] Figure 1 It is a structural schematic diagram of the present invention.
[0020] Figure 2 The present invention is a structural diagram of an Internet device including an Internet display module, an online examination module and an Internet touch pen.
[0021] Figure 3 It is a flow chart of the principle of test report generation.
[0022] Figure 4 It is a flow chart of the principles of exercise report generation.
[0023] In the figure, 1. Teaching screen; 2. Learning screen; 3. Audio module; 4. Screen recording module; 5. Network interconnection touch pen; 6. Biometric module; 7. Data storage module; 8. Interactive feedback module; 9. Online examination module. DETAILED DESCRIPTION
[0024] The present invention will be further described below with reference to the accompanying drawings and some embodiments.
[0025] exist Figures 1-4In the invention, a digital teaching diagnosis tool is provided, comprising: a network interconnected display module, including a teaching screen 1 used by teachers for teaching and a learning screen 2 used by students for learning. The teaching screen 1 and the learning screen 2 are connected via a wireless network. When the teacher puts teaching materials on the teaching screen 1, the teaching materials are displayed synchronously on the learning screen 2 in front of the students, thereby conducting teaching; the teaching screen 1 also has a built-in interactive feedback module 8. The teacher can send question information to the learning screen 2 of the designated student through the teaching screen 1. After the student receives the question through the learning screen 2, he or she uses the network interconnected touch pen 5 to answer on the learning screen 2. The answer content is transmitted back to the teaching screen 1 in real time, and the teacher can view and comment on it immediately. At the same time, the interactive feedback module 8 also supports students to send question marks to the teaching screen 1 through the learning screen 2, and the teacher gives targeted explanations during the teaching process based on the content of the question marks; the teaching screen 1 and the learning screen 2 are connected through a wireless network to achieve synchronous display of teaching materials, allowing students to follow the teacher's teaching rhythm in real time. The built-in interactive feedback module 8 allows the teacher to send question information to designated students. After the students use the network-connected touch pen 5 to answer, the answer content is sent back to the teaching screen 1 in real time, and the teacher can view and comment on it immediately; students can also send question marks to the teaching screen 1 through the learning screen 2, and the teacher gives targeted explanations based on the question marks, which greatly enhances the interactivity of teaching.
[0026] In this embodiment, the learning screen 2 has built-in audio module 3 and screen recording module 4. The audio module 3 records the teacher's teaching, marks the teaching knowledge points and pops up exercises to facilitate students to review. The screen recording module 4 records and analyzes the students' learning process using the learning screen 2, and transmits it back to the teaching screen 1 for the teacher to record and track; the screen recording module 4 in the learning screen 2 can record the students' learning process using the learning screen 2, and transmit it back to the teaching screen 1 for the teacher to record and track, so that the teacher can fully understand the students' learning habits, learning key points and difficulties, and provide a basis for carrying out targeted teaching.
[0027] In this embodiment, the online examination module 9 includes a test paper distribution terminal with the teaching screen 1 as the host and a test paper receiving terminal with each student's learning screen 2 as an extension. Each student's learning screen 2 has an independent IP number. When distributing test papers, the teaching screen 1 will transmit the electronic test paper to the corresponding student's learning screen 2 according to each independent IP number, and then an online examination can be conducted; the test paper is distributed with the teaching screen 1 as the host, and each student's learning screen 2 is an extension to receive the test paper, and each learning screen 2 has an independent IP number. The teaching screen 1 transmits the electronic test paper according to the independent IP number, which realizes the accurate distribution of test papers, improves the test efficiency, and reduces the possibility of errors.
[0028] In this embodiment, the network-connected touch pen 5 includes a built-in coding label, an identification unit for judging subjective questions on the test paper, an AI-assisted analysis unit for analyzing and judging objective questions on the test paper, and a first acquisition module for automatically collecting the correctness of the test paper to form test score data, automatically record the correctness of the test paper, generate a test report, and send it to the first comprehensive analysis module of the teaching screen 1; each coding label corresponds to each independent IP number, thereby realizing the recording and analysis of each student's test paper situation; the built-in coding label corresponds to an independent IP number, the identification unit performs semantic understanding, keyword matching and logical coherence analysis on the subjective questions, and the AI-assisted analysis unit performs answer comparison, option distribution statistics and error type classification on the objective questions. The first acquisition module uses the identification unit and the AI-assisted analysis unit to analyze the correctness and subjective questions of the test paper, generate first collection information, and send it to the first comprehensive analysis module, so that the first comprehensive analysis module generates a test report and simultaneously calculates the accuracy and error rate of each knowledge point, marks the frequently wrong questions and the corresponding weak links of the knowledge points, and facilitates the teacher to fully understand the test situation of each student.
[0029] It also includes mobile terminals (including mobile phones, tablets, and computers) that students usually use. The mobile terminals are equipped with a second collection module and a second comprehensive analysis module for collecting students' daily practice. When using an independent IP number to log in to the mobile terminal and using the network-connected touch pen 5 to practice on the mobile terminal, the second collection module collects the practice data of course review and knowledge point exercises after class to form regular performance data, and records and analyzes the learning process of students using mobile terminals. At the same time, the number of times students punch in for study attendance is recorded to generate captured information, and the captured information is generated every two weeks through the second comprehensive analysis module. The completed practice report is sent to the teaching screen 1. The teacher manually analyzes the test report and practice report uploaded by the teaching screen 1 to generate a comprehensive performance analysis report, so as to master the learning situation of each student and facilitate subsequent targeted teaching. The teaching screen 1 is operated to automatically push targeted review materials and practice questions to the corresponding student's learning screen according to the weak links of the knowledge points in the test report and practice report; the review materials include knowledge point analysis videos, explanations of similar examples and layered practice questions, and the difficulty of the practice questions is dynamically adjusted according to the students' test scores. Students with better scores are pushed advanced questions, and students with poor scores are pushed basic consolidation questions.
[0030] In this embodiment, the learning screen 2 also has a built-in biometric module 6 for identity authentication when students use the learning screen 2 to prevent cheating during the examination; the biometric module 6 includes a fingerprint recognition unit and a facial recognition unit. When students log in to the learning screen 2, they need to verify their identity through fingerprints or facial information. Only after the verification is passed can they receive electronic test papers; the learning screen 2 has a built-in biometric module 6, including a fingerprint recognition unit and a facial recognition unit. When students log in to the learning screen 2, they need to verify their identity through fingerprints or facial information. Only after the verification is passed can they receive electronic test papers, which effectively prevents cheating during the examination and ensures the fairness and impartiality of the examination.
[0031] In this embodiment, the network interconnection display module also includes a data storage module 7, which is used to store the teaching audio recorded by the audio module 3, the learning process video recorded by the screen recording module 4, and the examination data generated by the online examination module 9; the data storage module 7 adopts a combination of cloud storage and local storage, local storage is used for temporary storage of data, cloud storage is used for long-term backup, and supports teachers and students to access historical data anytime and anywhere through authorized accounts; adopts a combination of cloud storage and local storage, local storage is used for temporary storage of data, cloud storage is used for long-term backup, and supports teachers and students to access historical data anytime and anywhere through authorized accounts, which facilitates data storage and management and improves data security and accessibility.
[0032] In this embodiment, when taking online exams and regular practice, the following steps are included:
[0033] 1. The teaching screen 1 will transmit the electronic test paper to the corresponding student's learning screen 2 according to each independent IP number;
[0034] 2. Students use the network-connected touch pen 5 with the corresponding code label to answer questions on the learning screen 2;
[0035] 3. The recognition unit of the Internet Touch Pen 5 judges subjective questions by understanding the semantics of students' written content, matching keywords, and analyzing logical coherence. The AI-assisted analysis unit judges objective questions by comparing answers, analyzing option distribution statistics, and classifying error types. When generating test reports, the comprehensive analysis module can also simultaneously calculate the accuracy and error rates of each knowledge point and mark frequently incorrect questions and corresponding weak links in the knowledge points.
[0036] 4. The teacher manually analyzes the test reports and practice reports uploaded on the teaching screen 1 to master the learning situation of each student and facilitate subsequent targeted teaching. The teacher operates the teaching screen to automatically push targeted review materials and practice questions to the corresponding student's learning screen based on the weak links of the knowledge points in the test reports and practice reports; the review materials include knowledge point analysis videos, explanations of similar examples and tiered practice questions, and the difficulty of the practice questions is dynamically adjusted according to the students' test scores. Students with better scores are pushed advanced questions, and students with poor scores are pushed basic consolidation questions.
[0037] Through the above steps, the teacher manually operates the teaching screen 1 to push targeted review materials and exercises to the corresponding student's learning screen 22 based on the weak links of the knowledge points in the teacher's comprehensive performance analysis report. The review materials include knowledge point analysis videos, explanations of similar examples and layered exercises, and the difficulty of the exercises is dynamically adjusted according to the students' test scores. Students with better grades are pushed advanced questions, and students with poor grades are pushed basic consolidation questions, which improves the targetedness and effectiveness of the review.
[0038] An algorithm formula for some functions of the intelligent teaching diagnosis tool (such as test report generation, practice report generation, review material push, etc.).
[0039] 1. Test paper distribution algorithm for online examination module
[0040] Ti=f(IPi,Q)where i=1,2,…,n
[0041] ●Ti: The electronic test paper received by the i-th student’s learning screen.
[0042] ●IPi: The independent IP number of the i-th student’s learning screen.
[0043] Q: Electronic test papers distributed on the teaching screen.
[0044] f: Distribution function, which distributes the test paper Q to the corresponding learning screen according to the independent IP number.
[0045] 2. Automatic scoring algorithm for subjective and objective questions
[0046] Scoring of subjective questions:
[0047] S subjective = g (semantic understanding, keyword matching, logical coherence)
[0048] S Subjective: The score of the subjective question.
[0049] g: A comprehensive scoring function based on semantic understanding, keyword matching, and logical coherence analysis.
[0050] Objective Question Scoring:
[0051] S objective = h (answer comparison, option distribution, error type)
[0052] S Objective: The score of objective questions.
[0053] ●h: Comprehensive scoring function based on answer comparison, option distribution statistics and error type classification.
[0054] 3. Test report generation algorithm
[0055] R=i=1∑n(S subjective i+S objective i)+knowledge point analysis
[0056] ●R: Examination report.
[0057] ●Knowledge point analysis: including the accuracy and error rates of each knowledge point, frequently-erroneous questions and weak links.
[0058] 4. Review materials and practice questions push algorithm
[0059] Exercise difficulty adjustment:
[0060] Di={D high D low if score i≥threshold other cases
[0061] ●Di: The difficulty of the exercises received by the i-th student.
[0062] ●D High: Increase the difficulty of the question.
[0063] D Low: Difficulty level of basic consolidation questions.
[0064] ●Score i: the test score of the i-th student.
[0065] ●Threshold: The standard value for distinguishing high and low scores.
[0066] Review material push:
[0067] Mi=k(weak link i, Di)
[0068] Mi: review materials received by the i-th student.
[0069] k: Push function, which generates review materials based on the weak links of knowledge points and the difficulty of exercises, including knowledge point explanation videos, explanations of similar examples, and tiered exercises.
[0070] 5. Storage strategy of data storage module
[0071] Storage Location = {Local Storage Cloud Storage If Data Type = Temporary Data If Data Type =
[0072] Long-term data
[0073] ●Local storage is used for temporary data storage, and cloud storage is used for long-term backup, allowing teachers and students to access historical data anytime and anywhere through authorized accounts.
[0074] 6. Authentication Algorithm
[0075] Verification result = fingerprint recognition ∨ facial recognition
[0076] When logging into the learning screen, students must verify their identity using fingerprint or facial information. Only after passing the verification can they receive the electronic test paper.
[0077] These formulas and algorithms describe the core functions of intelligent teaching diagnostic tools, including key steps such as test paper distribution, automatic scoring, test report generation, review material push, data storage, and identity authentication.
[0078] These algorithm formulas can be integrated into the back-end system of intelligent teaching diagnostic tools, and by calling corresponding functions, functions such as test report generation, review material push, and subjective and objective question analysis can be realized.
[0079] When the present invention is implemented in detail: the teaching screen 11 will transmit the electronic test paper to the corresponding student's learning screen 22 according to each independent IP number; the student uses the network interconnected touch pen 55 with the corresponding coding label to answer questions on the learning screen 22; the recognition unit of the network interconnected touch pen 55 judges the subjective questions including the semantic understanding of the student's writing content, keyword matching and logical coherence analysis. The first acquisition module uses the recognition unit and the AI assisted analysis unit to analyze the right and wrong of the test paper and the subjective questions, generates the first acquisition information, and sends it to the first comprehensive analysis module, so that the first comprehensive analysis module generates the test report and synchronously calculates the accuracy and error rate of each knowledge point, marks the high-frequency error questions and the corresponding knowledge point weaknesses, so that the teacher can fully understand the test situation of each student; students usually use independent IP numbers to log in to the mobile terminal, and when using the network interconnected touch pen 5 to practice on the mobile terminal, the second acquisition module collects the after-class course review and knowledge The practice data of the point exercises are used to form the regular performance data, and the learning process of the students using the mobile terminal is recorded and analyzed. At the same time, the number of times the students punch in for study attendance is recorded to generate crawled information. Every two weeks, the crawled information is used to generate a practice report and sent to the teaching screen 1 through the second comprehensive analysis module. The teacher manually analyzes the test report and practice report uploaded by the teaching screen 1 to generate a comprehensive performance analysis report, so as to master the learning situation of each student and facilitate subsequent targeted teaching. The teaching screen 1 is operated to automatically push targeted review materials and practice questions to the corresponding student's learning screen according to the weak links of the knowledge points in the test report and practice report; the review materials include knowledge point analysis videos, explanations of similar examples and layered practice questions, and the difficulty of the practice questions is dynamically adjusted according to the student's test scores. Students with better scores are pushed advanced questions, and students with poor scores are pushed basic consolidation questions, which improves the pertinence and effectiveness of test review and regular training.
[0080] It is worth noting that: in the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly defined and specified. In the present invention, unless otherwise clearly specified and defined, the terms "install", "connect", "connect", "fix" and the like should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection. The circuits described in the present invention are all commonly used circuits in the art, and other related components are all existing commonly used components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances.
[0081] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above and that the present invention may be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention. Therefore, the embodiments should be considered in all respects as illustrative and non-restrictive, and the scope of the present invention is defined by the appended claims, not the foregoing description, and is intended to encompass all variations within the meaning and scope of the accompanying claims. Any reference signs in the claims should not be construed as limiting the claim to which they relate.
Claims
1. A digital teaching diagnostic tool, characterized by: include: The network-connected display module includes a teaching screen used by teachers for teaching and a learning screen used by students for learning. The teaching screen and the learning screen are connected via a wireless network. When the teacher displays teaching materials on the teaching screen, the teaching materials are synchronously displayed on the learning screen in front of the students, thereby conducting teaching. The learning screen has built-in audio modules and screen recording modules. The audio module records the teacher's teaching, marks the teaching knowledge points, and pops up exercises for students to review. The screen recording module records and analyzes the students' learning process using the learning screen and transmits it back to the teaching screen for the teacher to record and track. The online examination module includes a test paper distribution terminal with the teaching screen as the host and a test paper receiving terminal with each student's learning screen as the extension. Each student's learning screen has an independent IP number. When distributing the test paper, the teaching screen will transmit the electronic test paper to the corresponding student's learning screen according to each independent IP number, so that the online examination can be carried out; A network-connected touch pen includes a built-in coding tag, a recognition unit for judging subjective questions on the test paper, an AI-assisted analysis unit for analyzing and judging objective questions on the test paper, and a first acquisition module for automatically collecting correct and incorrect test results to form test score data, and a first comprehensive analysis module for automatically recording correct and incorrect test results to generate a test report and send it to the teaching screen; The mobile terminal also includes a mobile terminal used by students on a regular basis. The mobile terminal is provided with a second collection module and a second comprehensive analysis module for collecting students' regular practice data. When students log in to the mobile terminal using an independent IP number and practice on the mobile terminal using a network-connected touch pen, the second collection module collects after-class course review and knowledge point practice data to form regular performance data. The regular practice results are generated into a practice report through the second comprehensive analysis module and sent to the teaching screen; The teacher manually analyzes the test reports and practice reports sent to the teaching screen and generates a comprehensive performance analysis report.
2. A digital teaching diagnostic tool according to claim 1, characterized in that: Each coding label corresponds to each independent IP number, thus enabling the recording and analysis of each student's test paper situation.
3. The digital teaching diagnostic tool according to claim 1, characterized in that: The learning screen also has a built-in biometric module for identity verification when students use the learning screen to prevent cheating during the exam.
4. The digital teaching diagnostic tool according to claim 3, characterized in that: The biometric module includes a fingerprint recognition unit and a facial recognition unit. When students log in to the learning screen, they need to verify their identity through fingerprint or facial information. Only after the verification is passed can they receive the electronic test paper.
5. The digital teaching diagnostic tool according to claim 1, characterized in that: The network interconnection display module also includes a data storage module for storing the teaching audio recorded by the audio module, the learning process video recorded by the screen recording module and the test data generated by the online test module.
6. The digital teaching diagnostic tool according to claim 5, characterized in that: The data storage module adopts a combination of cloud storage and local storage. Local storage is used to temporarily save data, and cloud storage is used for long-term backup. It also supports teachers and students to access historical data anytime and anywhere through authorized accounts.
7. The digital teaching diagnostic tool according to claim 6, characterized in that: The teaching screen also has a built-in interactive feedback module. The teacher can send question information to the learning screen of the designated student through the teaching screen. After receiving the question through the learning screen, the student uses the network-connected touch pen to answer on the learning screen. The answer content is transmitted back to the teaching screen in real time, and the teacher can view and comment on it immediately. At the same time, the interactive feedback module also supports students to send question marks to the teaching screen through the learning screen, and the teacher will give targeted explanations during the teaching process based on the content of the question marks.
8. The method for using a digital teaching diagnostic tool according to claims 1-7, characterized in that: When taking the online exam, there are several steps involved; 1. The teaching screen will transmit the electronic test paper to the corresponding student's learning screen according to each independent IP number; 2. Students use the network-connected touch pen with the corresponding coded label to answer questions on the learning screen; 3. The recognition unit of the network-connected touch pen judges subjective questions by analyzing the semantics of students' written content, keyword matching, and logical coherence. The AI-assisted analysis unit judges objective questions by comparing answers, analyzing option distribution statistics, and classifying error types. When generating test reports, the comprehensive analysis module can also simultaneously calculate the accuracy and error rates of each knowledge point and mark frequently incorrect questions and corresponding weak links in the knowledge points.
4. The teacher manually analyzes the test reports and practice reports uploaded on the teaching screen to gain a good understanding of each student's learning situation and facilitate subsequent targeted teaching. The teacher operates the teaching screen to automatically push targeted review materials and practice questions to the corresponding student's learning screen based on the weak links in the knowledge points in the test reports and practice reports; the review materials include knowledge point analysis videos, explanations of similar examples and tiered practice questions, and the difficulty of the practice questions is dynamically adjusted according to the students' test scores. Students with better scores are pushed advanced questions, and students with poor scores are pushed basic consolidation questions.