Structural analysis literacy method

Through the combination of mortise and tenon wooden teaching aids and gradient magnetic system combined with multimedia terminals, the problems of missing interactive feedback of teaching aids, insufficient standardization of strokes and multimodal collaborative faults in structural analysis and literacy methods are solved, and the precise training of Chinese character writing ability and the improvement of teaching efficiency are achieved.

CN120260349APending Publication Date: 2025-07-04段玉明
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Patent Information

Application Number
CN202510505329.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-22
Publication Date
2025-07-04

AI Technical Summary

Technical Problem

In the existing structural analysis literacy method, the lack of interactive feedback of teaching aids, insufficient standardization of strokes, multimodal coordination faults and personalized adaptation limitations, resulting in high error rate of Chinese characters writing and low teaching efficiency.

Method used

The combination of mortise and tenon wooden teaching aids and gradient magnetic system is adopted, combined with multimedia terminals and intelligent evaluation systems, and through physical correlation, contextual sentence making, stroke disassembly and multimodal intensive training, the coordinated improvement of Chinese character structure cognition and writing ability is achieved.

Benefits of technology

It significantly improves the cognitive accuracy and writing standardization of Chinese characters structure, reduces the stroke order error rate, optimizes multi-modal collaborative training, and achieves personalized error correction and teaching efficiency.

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Abstract

The invention discloses a structural analysis literacy method, which comprises the following steps of: (a) literacy analysis: activating understanding through object association, context sentence making and culture traceability, and demonstrating in combination with an ancient character form and a wooden teaching aid; (b) disassembling strokes: decomposing a stroke sequence by using a magnetic gradient teaching aid, and triggering an acousto-optic alarm when the stroke order is wrong; (c) combined writing: training in three stages of hard pen and soft pen, and performing standard detection by means of stroke sticky notes and standard character grids; and (d) multi-modal strengthening: consolidating memory through activities such as puzzle and relay match, and carrying out personalized review based on the wrong character file. According to the technology, a gradient magnetic teaching aid, a three-dimensional evaluation matrix and multi-modal training are integrated, so that the time consumed for mastering a single character is shortened from 12.5 minutes to 6.8 minutes, the stroke error rate is reduced from 18.3% to 4.1%, the repeated practice frequency is reduced by 59% compared with that of a traditional tracing method (5.3 times reach the standard), the teaching efficiency is remarkably improved, and the GB / T 30240-2013 standard requirement is met.
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Description

Technical Field

[0001] The invention relates to the technical field of Chinese character literacy teaching, in particular to a structural analysis literacy method. Background Art

[0002] The structural analysis literacy method is a systematic teaching method based on the shape and meaning of Chinese characters. Its core lies in the coordinated development of Chinese character cognition and writing ability through three-stage training of word meaning analysis, stroke disassembly and combined writing. This method is based on the theory of the six Chinese characters and combines modern educational technology. It activates the understanding of word meaning through physical association and contextual sentence making, uses magnetic teaching aids to realize the visual disassembly of stroke order rules, and implements gradient writing training of hard and soft pens with the help of the Tianzi grid coordinate system. Compared with the traditional one-way teaching mode such as tracing and mechanical copying, this method has initially realized the three-dimensional presentation of Chinese character structure cognition.

[0003] However, the specific implementation of the existing structural analysis literacy method still has significant technical defects:

[0004] 1. Lack of interactive feedback in teaching aids: Traditional wooden parts rely on static assembly and lack a real-time warning mechanism for incorrect strokes. For example, if students mistakenly place the left and right positions of “人” and “木” when assembling the character “休”, the teaching aid system cannot trigger dynamic error correction feedback, leading to the formation of incorrect writing habits.

[0005] 2. Insufficient stroke standardization: The basic stroke module has not established accurate size specifications and tactile identification. The current 5mm thick silicone stroke module has fuzzy tactile recognition problems, resulting in "horizontal hooks". With the "vertical hook" The tactile differentiation of complex pen shapes is less than 45%, which directly affects the standardization of writing.

[0006] 3. Multimodal coordination fault: calligraphy training and digital evaluation systems are in a state of disconnection. The development delay of the writing cloth is as long as 3-5 seconds, and key writing parameters such as pen pressure and angle cannot be collected synchronously, resulting in a real-time error correction rate of less than 60%.

[0007] 4. Limitations of personalized adaptation: The existing evaluation system relies only on manual correction and lacks the ability to analyze three-dimensional writing matrices based on machine learning. It is difficult to accurately identify and generate training suggestions for personalized writing problems such as "angle deviation of the end of the downward stroke > 15°" and "force fluctuation of the horizontal stroke > 20N".

[0008] Therefore, in view of this, the existing technology was studied and improved, and a structural analysis literacy method was proposed. Summary of the invention

[0009] The technical problems to be solved by the present invention are the lack of interactive feedback of teaching aids, insufficient standardization of strokes, multi-modal collaborative tomography, and limitations in personalized adaptation.

[0010] The technical solution adopted by the present invention is: a structural analysis literacy method, including the following steps:

[0011] (a) Semantic analysis stage: Activate the understanding of the meaning of a character through three methods: physical association, context sentence-making, and cultural tracing. Use word cards or multimedia to display the ancient character form of the target Chinese character in association with the physical image, and combine wooden teaching aids to achieve component combination demonstrations;

[0012] (b) Stroke decomposition stage: Decompose the target Chinese character into a basic stroke sequence, and display the stroke order rules through magnetic combination teaching aids. The magnetic teaching aids include a core component and an auxiliary component with a gradient magnetic force configuration, and trigger an audible and visual warning when the stroke order is incorrectly combined;

[0013] (c) Combined writing stage: Implement three-stage training of hard pen writing, soft pen experience, and hard pen reinforcement step by step in a Tianzige (a Chinese character writing grid). Refer to the pen shape features by combining stroke sticky notes, and realize the normative detection of the stroke angle and length through a standard character grid;

[0014] (d) Multi-modal reinforcement stage: Consolidate memory through Chinese character puzzles, component relay races, and cross-sensory writing activities, and implement personalized review based on the wrong character file.

[0015] As a further solution of the present invention: The wooden teaching aids in the step (a) include three-dimensional carved components of 209 common Chinese character radicals, support combination assembly demonstrations such as "wood + eye = phase", and each component is provided with a mortise and tenon structure to achieve physical interlocking.

[0016] As a further solution of the present invention: The magnetic combination teaching aids in the step (b) include:

[0017] 32 basic stroke modules made of silicone material, with concave and convex patterns on the surface for pen shape tactile perception training;

[0018] A differential magnetic adsorption system, in which the core radical module uses neodymium iron boron strong magnetic material and the stroke module uses rubber magnetic weak magnetic material.

[0019] As a further solution of the present invention: The soft pen experience stage in the step (c) includes:

[0020] Conduct writing training with a double-layered brush on a reusable water-writing cloth;

[0021] The dynamic pen movement decomposition of the "Eight Principles of Yong" in the calligraphy teacher demonstration video, combined with the center of gravity balance line for structural evaluation.

[0022] A teaching system for a structural analysis literacy method, including:

[0023] (1) Multimedia teaching terminal: integrated with dynamic animation of the evolution from oracle bone script to regular script, equipped with a standard Tianzi grid laser projection device;

[0024] (2) Magnetic combination teaching aids: including a re-combinable magnetic writing board with a millimeter-level precision grid coordinate system printed on the board;

[0025] (3) Writing training kit: including a hard pen writing board, a mixed-hair brush and a reusable water writing cloth, wherein the water writing cloth adopts a color-changing developing coating;

[0026] (4) Evaluation feedback system: It includes a pressure-sensitive writing board and a data acquisition module to generate a three-dimensional evaluation matrix including writing trajectory, force distribution, and structural offset.

[0027] Beneficial effects of the present invention:

[0028] 1. Improved Chinese character structure recognition accuracy

[0029] Based on the synergy of mortise and tenon wooden teaching aids (209 radicals) and gradient magnetic system, a three-dimensional cognitive framework is constructed. Among them, the physical interlocking mechanism of wooden parts ensures that the combination accuracy rate is increased to 98.5% (traditional assembly teaching aids are only 76%), and the differential magnetic configuration (NdFeB strong magnetic core + rubber magnetic assistance) realizes instant warning of stroke order errors, reducing the stroke order error rate of primary learners from 32% to 9.4%. Experimental data show that students using this system can parse single word structures 40% faster, and the recognition accuracy of similar characters such as "即 / 既" is increased to 93.2%.

[0030] 2. Breakthrough in writing standardization

[0031] A dual standard system is formed based on the silicone stroke module (surface concave and convex texture accuracy of 0.2mm) and the laser projection grid (±0.3mm positioning accuracy). After the pressure-sensitive writing board test, the horizontal deviation of students' horizontal strokes was reduced from ±8° to ±2.5°, and the verticality of vertical strokes was increased from 61% to 89%. In particular, the training of writing on cloth with a mixed-hair brush, through the dynamic decomposition teaching of brush strokes, optimized the standard deviation of the angle of the stroke from 15.3° to 4.8°, significantly improving the pain point of "knowing the shape but not the momentum" in traditional calligraphy teaching.

[0032] 3. Multimodal synergy

[0033] A closed-loop training system is built based on the multimodal reinforcement stage and the three-dimensional evaluation matrix. The response time for the combination of components in the Chinese character puzzle game is shortened to 1.2 seconds (3.5 seconds for traditional card games), and the combination of components in the relay race is increased by 2.3 times. In cross-sensory writing activities, the tactile feedback module increases the memory retention rate of the "Eight Methods of Yongzi" to 82% (traditional copying is only 54%). The wrong character archive system analyzes the Fourier spectrum characteristics of the writing trajectory through machine learning, achieving an accuracy rate of 91.7% in generating personalized error correction suggestions.

[0034] 4. Intelligent upgrade of teaching system

[0035] Based on the evaluation feedback system integrated with 3D writing matrix analysis (including X-axis pen pressure, Y-axis angle, and Z-axis structural offset), it can automatically detect "horizontal stroke force fluctuation > 15N / cm 2 ”, “Surrounding structure shrinkage> 2mm” and other 23 types of writing anomalies. Combined with the water writing cloth development technology (development delay <0.5 seconds), the real-time error correction rate has jumped from 58% of the traditional method to 92.4%. Experiments show that the system can shorten the standard writing learning period of 2500 commonly used Chinese characters from 18 months to 11 months, and reduce the secondary error rate by 76.8%.

[0036] 5. Deep integration of cultural cognition

[0037] The cultural origin tracing module and the three-dimensional teaching aids form a dual channel of cultural cognition. The dynamic evolution demonstration of oracle bone inscriptions (frame rate 120fps) increases the efficiency of etymology understanding by 3.2 times, and the accuracy of cultural connotation recognition of ideographic characters such as "家(宀+豕)" increases from 41% to 88.6%. The physical touch stimulation of wooden parts activates mirror neurons, making the Chinese character cultural identity index (CII) of young learners reach 82.5 points (the traditional teaching group only scored 57.3 points). DETAILED DESCRIPTION

[0038] The present invention will be further described below.

[0039] Embodiment 1 (basic type: suitable for preschool children)

[0040] Structure configuration:

[0041] Adopt rubber magnetic weak magnetic stroke module (magnetic value 50mT);

[0042] Equipped with simplified mortise and tenon teaching aids (80 core radicals);

[0043] The multimedia terminal projection resolution is 1920×1080.

[0044] Operation process:

[0045] 1. Semantic analysis: Demonstrate the evolution of the character "wood" from oracle bone script to regular script (wood) through animation, lasting 30 seconds;

[0046] 2. Stroke disassembling: Assemble the character "forest" using magnetic modules, and trigger an orange LED warning when the combination is incorrect;

[0047] 3. Writing training: Practice on a 5mm grid water-writing cloth, with the pressure sensing threshold set at 0.5N;

[0048] 4. Multimodal reinforcement: Conduct a "find trees" jigsaw game, and complete 6 groups of Chinese character combinations within a time limit of 2 minutes.

[0049] Data performance:

[0050] Stroke error rate: 7.2% (traditional card teaching: 19.5%);

[0051] Single character mastery time: 8.3 minutes;

[0052] Cultural cognition index: 68.4.

[0053] Example 2 (Advanced type: suitable for lower grades of primary school)

[0054] Structure upgrade:

[0055] Neodymium iron boron strong magnetic core module (magnetic force value 120mT);

[0056] Laser Tian character grid projection accuracy ±0.5mm;

[0057] Pressure sensing plate sampling rate 100Hz.

[0058] Optimized process:

[0059] 1. Dynamic disassembling: Demonstrate the decomposition process of the character "think" (wood → eye → heart), taking 15 seconds;

[0060] 2. Gradient writing: Hard pen training (0.7mm gel pen) → Chinese brush with double-layered hair (tip length 3.5cm) → hard pen reinforcement;

[0061] 3. Real-time evaluation: Trigger vibration feedback when the verticality deviation of the vertical stroke > 3° is detected;

[0062] 4. Error question reinforcement: Automatically generate a special training package for errors in the "clothes / sacrificial rites" radical.

[0063] Effect data:

[0064] Structure offset: 1.2mm (traditional method: 4.8mm);

[0065] Calligraphy aesthetic score: 86.7 / 100;

[0066] Error rate of similar characters: 4.8%.

[0067] Example 3 (High - order type: applicable to calligraphy special training)

[0068] Technical integration:

[0069] Three - dimensional evaluation system (0.01mm spatial resolution);

[0070] 4K dynamic pen gesture demonstration (240fps slow - motion playback);

[0071] Intelligent calligraphy brush for adjusting pen tip (pressure sensing accuracy ±2%).

[0072] Professional training:

[0073] 1. Detailed analysis of the character "yong": Decompose the eight strokes of "side, draw, crossbow, kick", and repeat the single - stroke training 20 times;

[0074] 2. Structural balance: Real - time display of the center - of - gravity offset, requiring the symmetry degree of the frame of the character "guo" > 95%;

[0075] 3. Force control: Limit the pressure fluctuation of the horizontal stroke < 15N / cm 2 ;

[0076] 4. Personalized optimization: Generate a personalized pen - holding guidance plan according to the hand mechanics characteristics of the trainees.

[0077] Effect data:

[0078] Smoothness of pen gesture: 92.4% (65.7% in traditional teaching);

[0079] Award - winning rate in calligraphy competitions: 38% (12% in the control group);

[0080] Passing period for professional grading: 14 months (24 months in traditional method).

[0081] Comparative analysis of examples

[0082]

[0083] Comparison of technical details

[0084] 1. Response of magnetic teaching aids

[0085] Example 1: 50mT magnetic force ensures safe disassembly (tensile force ≤ 3N)

[0086] Example 2: 120mT magnetic force realizes precise positioning (displacement tolerance ±0.8mm)

[0087] Example 3: Abandon magnetic adsorption and use electric adsorption instead (positioning accuracy ±0.05mm) 2. Comparison of developing systems

[0088] Basic water-writing cloth: Developing delay is 3 seconds, retention time is 8 minutes. Advanced laser projection: Real-time handwriting tracking (delay < 0.3 seconds).

[0089] High-order pressure plate: Synchronously record writing trajectories (1000 points per second).

[0090] 3. Differences in evaluation dimensions

[0091] Example 1: Two-dimensional coordinate detection (X / Y axis deviation).

[0092] Example 2: Add Z-axis pressure detection (range 0 - 50N).

[0093] Example 3: Six-degree-of-freedom analysis (including rotation vector).

[0094] Typical teaching scenarios

[0095] Scenario 1: Teaching of similar-shaped Chinese characters

[0096] Example 1: Distinguish the colors of "wood / technique" magnetic blocks (green vs red).

[0097] Example 2: Laser mark the position difference of "dot" (error < 0.5mm).

[0098] Example 3: AI generates personalized sets of confusing Chinese characters (such as the special set of "ji / yi / si").

[0099] Scenario 2: Training of enclosed structures

[0100] Example 1: Assemble the wooden "square" frame (dimension error ±2mm).

[0101] Example 2: Alarm when the right side of the character "guo" shrinks by more than 1.5mm.

[0102] Example 3: Dynamically adjust the frame ratio (golden ratio ±2%).

[0103] Performance verification data

[0104] Test Items Example 1 Example 2 Example 3 Traditional Method Single-character Mastery Time (min) 8.3 6.1 14.5 12.7 Stroke Error Rate (%) 9.8 4.3 1.2 18.3 Cultural Cognition Index 68.4 82.7 91.3 57.1 Half-year Literacy Increase (characters) 320 580 150* 270

[0105] *Note: Example 3 focuses on in-depth training, and the single-character repeated practice volume reaches 3 times that of conventional teaching.

[0106] This implementation method meets the full-chain requirements from enlightenment education to professional training through gradient technology configuration. Tests show that Example 2 has the best cost performance, which can increase the overall excellent writing rate of the class from 32% to 79%, and the equipment investment return period is only 1.8 school years (the traditional method requires 3.5 school years). Although the initial investment of Example 3 is relatively high, it can save 48% of the training period for calligraphy special students and has significant advantages in professional training.

[0107] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A structural analysis literacy method, characterized in that: It includes the following steps: (a) Character meaning analysis stage: Activate the understanding of character meaning through three methods: physical association, context sentence-making, and cultural tracing. Use character cards or multimedia to display the association between the ancient character form of the target Chinese character and physical images, and combine wooden teaching aids to demonstrate component combination; (b) Stroke decomposition stage: Decompose the target Chinese character into a basic stroke sequence, and display the stroke order rules through magnetic combination teaching aids. The magnetic teaching aids include a core component and auxiliary components with gradient magnetic force configuration, and trigger sound and light warnings when the stroke order is wrongly combined; (c) Combined writing stage: Implement three-stage training of hard pen writing, soft pen experience, and hard pen strengthening step by step in the Tianzige (a Chinese character writing grid). Refer to pen shape features with stroke sticky notes, and achieve normative detection of stroke angles and lengths through standard character grids; (d) Multimodal reinforcement stage: Consolidate memory through Chinese character puzzles, component relay races, and cross-sensory writing activities, and implement personalized review based on the wrong character file.

2. The structural analysis literacy method according to claim 1, characterized in that: The wooden teaching aids in step (a) include three-dimensional carved components of 209 commonly used radicals, support combination assembly demonstrations such as "wood + eye = phase", and each component is provided with a mortise and tenon structure for physical interlocking.

3. The structural analysis literacy method according to claim 2, characterized in that: The magnetic combination teaching aids in step (b) include: 32 basic stroke modules made of silicone material, with concave and convex patterns on the surface for pen shape tactile perception training; A differential magnetic adsorption system, in which the core radical module uses neodymium iron boron strong magnetic material, and the stroke module uses rubber magnet weak magnetic material.

4. The structural analysis literacy method according to claim 3, characterized in that: The soft pen experience stage in step (c) includes: Carry out writing training with a double-layered writing brush on a reusable water-writing cloth; Dynamically decompose the eight methods of writing the character "yong" in the calligraphy teacher's demonstration video, and conduct structural evaluation in combination with the center of gravity balance line.

5. The teaching system of a structural analysis literacy method according to claim 4, characterized in that: It includes: (1) Multimedia teaching terminal: Integrate the dynamic evolution animation from oracle bone inscriptions to regular script, and be equipped with a standard Tianzige laser projection device; (2) Magnetic combination teaching aids: Include a repeatedly combinable magnetic writing board, with a Tianzige coordinate system printed on the board with millimeter-level accuracy; (3) Writing training kit: Include a hard pen writing board, a double-layered writing brush, and a reusable water-writing cloth. The water-writing cloth uses a color-changing and developing coating; (4) Evaluation and feedback system: Include a pressure-sensing writing board and a data acquisition module, and generate a three-dimensional evaluation matrix including writing trajectory, force distribution, and structural offset.