Intelligent remote teaching method

Abstract

The invention relates to the technical field of remote teaching, and discloses an intelligent remote teaching method, which comprises the following steps of: capturing handwriting data of a student in real time by using an intelligent pen or a handwriting board, including the starting position, the ending position, the writing speed, the stroke angle and the pressure of strokes; according to the intelligent remote teaching method, personalized feedback and guidance are provided by capturing and analyzing handwriting data of students in real time, the writing level and habits of the students are remarkably improved, the system captures data such as starting positions, ending positions, writing speed, stroke angles and pressure of strokes through an intelligent pen or a handwriting board, and the teaching efficiency is improved. The data is analyzed by an AI algorithm and compared with a standard model, detailed improvement suggestions are generated, the writing speed is displayed through real-time color feedback, and students are helped to adjust the writing rhythm and develop good habits.

Description

Technical Field

[0001] The present invention relates to the technical field of remote teaching, and in particular to an intelligent remote teaching method. Background Art

[0002] With the rapid development of information technology and artificial intelligence technology, the field of education has ushered in unprecedented changes. Traditional teaching methods are gradually unable to meet the needs of modern education, especially in personalized teaching, real-time feedback and distance education. There are many challenges. The proposal of intelligent distance teaching methods is to meet these challenges, improve teaching quality and efficiency, and meet students' diverse learning needs. The traditional classroom teaching model is teacher-centered, and the teaching process mainly relies on teachers' explanations and blackboard demonstrations. Students' learning effects are often difficult to monitor and feedback in real time. Especially in writing practice, it is difficult for teachers to pay attention to the writing process and details of each student one by one, resulting in individual differences in students' writing habits and quality. It is difficult to be effectively guided and corrected. In addition, the traditional teaching model cannot provide personalized teaching plans and is difficult to adapt to In response to the learning rhythm and characteristics of different students, in recent years, with the popularization of Internet technology, distance education has become an important form of education. Especially in the context of the global epidemic, the demand for distance education has increased significantly. However, existing distance education platforms are mostly based on video explanations and online tests, lacking real-time monitoring and personalized feedback functions of students' writing process, making it difficult to comprehensively improve students' writing level. The emergence of smart devices such as smart pens and handwriting tablets has made it possible to capture students' writing data in real time. These devices are equipped with pressure sensors, acceleration sensors and angle sensors, which can record various parameters in the writing process in detail and provide rich data support for the teaching system. However, data collection alone is not enough. How to effectively analyze these data and provide targeted feedback has become the key to realizing intelligent teaching. Summary of the invention

[0003] In view of the deficiencies in the prior art, the present invention provides an intelligent distance teaching method, which solves the problem that traditional teaching and existing distance education cannot provide real-time monitoring, personalized feedback, and improve writing quality.

[0004] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent remote teaching method, comprising the following steps:

[0005] Use a smart pen or tablet to capture students' handwriting data in real time, including the starting position, ending position, writing speed, pen tip angle and pressure of the strokes;

[0006] The captured handwriting data is transmitted to the remote teaching system via a wireless or wired network, and stored and processed;

[0007] Analyze handwriting data through AI algorithms to extract characteristic parameters of writing speed, pen tip angle and pressure;

[0008] During the writing process, the color changes are used to display the writing speed in real time, where green represents a slower writing speed and red represents an overly fast writing speed.

[0009] Based on the results of handwriting data analysis, feedback and guidance are provided to students in real time through the distance learning system.

[0010] Preferably, the handwriting data includes the starting position, ending position, writing speed, pen tip angle and pressure of the stroke.

[0011] Preferably, the dynamic speed indication of the color change is realized through a display screen or a projection device, and the display screen or the projection device can display the color change in real time to provide visual feedback.

[0012] Preferably, the AI ​​algorithm generates detailed feedback information, including suggestions for improvement of writing speed, pen tip angle and pressure, by comparing with a preset standard model.

[0013] Preferably, the remote teaching system includes a software platform for storing and processing handwriting data and providing feedback guidance, and the software platform has data analysis, report generation and feedback guidance functions.

[0014] Preferably, the remote teaching system further includes an interface for real-time display and playback of the writing process, through which students can view their own writing tracks, speed indications and feedback information.

[0015] Preferably, the smart pen or tablet has a variety of sensors for capturing pressure, tilt angle and speed during writing, and transmitting these data to the remote teaching system in real time, and the integrated sensors include pressure sensors, acceleration sensors and angle sensors.

[0016] Preferably, the remote teaching system can generate a writing report for each student, including analysis and improvement suggestions for writing speed, pen tip angle and pressure parameters, and the writing report can be presented in the form of charts and text.

[0017] Preferably, the distance learning system can automatically recommend corresponding exercises and learning materials according to the students' writing characteristics to help students gradually improve their writing skills, and the recommendation algorithm is based on the students' historical data and AI analysis results.

[0018] Preferably, the remote teaching system can support multi-person online interactive teaching, and teachers can monitor and guide the writing process of multiple students in real time to improve teaching efficiency and effectiveness. The interactive functions include real-time video, voice and text communication.

[0019] Beneficial Effects

[0020] The present invention provides an intelligent remote teaching method. Compared with the prior art, it has the following beneficial effects:

[0021] 1. In the present invention, the intelligent remote teaching method provides personalized feedback and guidance by capturing and analyzing students' handwriting data in real time, which significantly improves students' writing level and habits. The system uses a smart pen or handwriting tablet to capture the starting position, ending position, writing speed, pen tip angle and pressure of the strokes, and transmits them to the remote teaching system through a wireless or wired network for processing. The AI ​​algorithm analyzes these data, compares them with the standard model, and generates detailed improvement suggestions. Real-time color feedback shows the writing speed to help students adjust their writing rhythm and cultivate good habits. The writing report is presented in combination with charts and text, which is clear and intuitive. Students can make targeted improvements based on the feedback. The system also recommends personalized exercises and learning materials to gradually improve the writing level.

[0022] 2. In the present invention, the intelligent distance learning method significantly improves the teaching efficiency and effect by supporting multi-person online interactive teaching. Teachers can monitor and guide the writing process of multiple students in real time to ensure that each student can get timely feedback. The system supports real-time video, voice and text communication, which enhances the communication between teachers and students. The comprehensive analysis and report generation functions of writing data help teachers better understand students' writing characteristics and formulate personalized teaching plans. The system automatically recommends exercises and learning materials, and provides scientific and effective exercise content based on students' writing history data and AI analysis results. Overall, this method optimizes the teaching process through technical means and improves the teaching quality and effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 The present invention provides a flow chart of an intelligent remote teaching method. DETAILED DESCRIPTION

[0024] 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.

[0025] See also Figure 1 The present invention provides two technical solutions, which specifically include the following embodiments:

[0026] An intelligent distance teaching method comprises the following steps:

[0027] Use a smart pen or tablet to capture students' handwriting data in real time, including the starting position, ending position, writing speed, pen tip angle and pressure of the strokes. The writing speed is calculated as follows:

[0028] The writing speed u can be calculated from the length of the stroke L and the writing time t:

[0029]

[0030] Where L is the total length of the stroke (which can be calculated by the distance of the handwriting points), and t is the time of writing the stroke (which can be calculated by the timestamp of data sampling);

[0031] Pen tip angle calculation:

[0032] The pen tip angle θ can be calculated by the pen tilt angle. If the coordinates of the pen direction on the two-dimensional plane are (x1, y1) and (x2, y2), the pen tip angle can be calculated by the following formula:

[0033]

[0034] Among them, (x1, y1) and (x2, y2) are the starting and ending coordinates of the stroke.

[0035] Writing pressure calculation:

[0036] The writing pressure P is usually provided by a pressure sensor, which can read the pressure value directly. In order to process the pressure data, its mean and standard deviation can be calculated to evaluate the stability of the overall writing pressure:

[0037]

[0038] Where P i is the pressure value of the i-th sampling point, and n is the total number of sampling points.

[0039] Real-time feedback mechanism:

[0040] In order to display the color change of writing speed in real time, the writing speed interval u and the color change formula are defined as follows:

[0041] Green:u min ≤u<u low

[0042] Yellow:u low ≤u<u high

[0043] Red: u ≥ u high

[0044] Where: u min is the minimum threshold of writing speed, ulow and u high They are the lower and upper thresholds of writing speed, which are used to determine the interval of color change.

[0045] The smart pen or handwriting tablet has a built-in high-precision sensor that can accurately capture the starting and ending positions of the strokes, record the path and force changes of each stroke, and the writing speed is measured by the movement speed of the pen tip, and real-time feedback is given to students through color changes. The pen tip angle is determined by the sensor detecting the tilt angle of the pen, and the pressure is measured in real time by the pressure sensor.

[0046] The captured handwriting data is transmitted to the remote teaching system via a wireless or wired network, and stored and processed;

[0047] Data transmission ensures real-time and integrity, and the system has powerful data storage and processing capabilities;

[0048] Analyze handwriting data through AI algorithms to extract characteristic parameters of writing speed, pen tip angle and pressure;

[0049] The AI ​​algorithm identifies problems in the writing process, such as uneven speed and incorrect pen angle, by comparing students' handwriting data with a preset standard model. The standard model is based on a large number of high-quality writing samples and can provide students with accurate improvement suggestions.

[0050] During the writing process, the color changes are used to display the writing speed in real time, where green represents a slower writing speed and red represents an overly fast writing speed.

[0051] The color-changing dynamic speed indication is not limited to green and red, but can also display more precise speed ranges through gradient colors. The system can provide a variety of color schemes to suit different students' visual preferences and teaching needs.

[0052] Based on the results of handwriting data analysis, real-time feedback and guidance are provided to students through the remote teaching system;

[0053] The system can generate detailed feedback information, including suggestions for improving writing speed, pen angle and pressure, to help students gradually improve their writing skills.

[0054] The handwriting data includes the starting position, ending position, writing speed, pen tip angle and pressure of the strokes. The data includes detailed information of each stroke, such as the start and end timestamps, the length and curvature of the strokes, changes in writing pressure, etc.

[0055] The dynamic speed indication of the color change is realized through a display screen or a projection device, and the display screen or the projection device can display the color change in real time and provide visual feedback. The visual feedback is refined as follows: the dynamic speed indication of the color change is realized through a display screen or a projection device, and the display screen or the projection device can display the color change in real time and provide visual feedback.

[0056] The AI ​​algorithm generates detailed feedback information, including suggestions for improvement of writing speed, pen angle and pressure, by comparing with the preset standard model. Functions of the AI ​​algorithm and standard model: The AI ​​algorithm identifies problems in the writing process, such as uneven speed and incorrect pen angle, by comparing the student's handwriting data with the preset standard model. The standard model is based on a large number of high-quality writing samples and can provide students with accurate suggestions for improvement.

[0057] The remote teaching system includes a software platform for storing and processing handwriting data and providing feedback guidance. The software platform has data analysis, report generation and feedback guidance functions. The extended functions of the software platform: the software platform supports a variety of data analysis methods, such as statistical analysis, image processing, etc., to generate multi-dimensional writing reports. The report includes an overall evaluation of the writing, a specific analysis of each indicator and improvement suggestions, to help students fully understand their own writing situation.

[0058] The remote teaching system further includes an interface for real-time display and playback of the writing process, through which students can view their own writing tracks, speed indications and feedback information. The real-time display and playback interface: The interface design is intuitive and friendly, and provides multiple viewing modes, such as real-time writing tracks, speed change curves, pressure change graphs, etc. Students can view the detailed process of each writing through the playback function, so as to conduct self-evaluation and improvement.

[0059] The smart pen or tablet has multiple sensors for capturing the pressure, tilt angle and speed during writing, and transmitting these data to the remote teaching system in real time. The integrated sensors include pressure sensors, acceleration sensors and angle sensors. The detailed functions of the multiple sensors are as follows: The pressure sensor has high precision and can capture small pressure changes during writing, reflecting the writing strength of the students. The acceleration sensor is used to detect the rapid movement and changes of the pen, accelerating data transmission and processing. The angle sensor helps students adjust their writing posture and improve the writing quality by detecting the tilt angle of the pen.

[0060] The remote teaching system can generate a writing report for each student, including analysis and improvement suggestions on writing speed, pen angle and pressure parameters. The writing report can be presented in the form of charts and text. The content and presentation method of the writing report: The writing report includes multiple parts, such as overall evaluation, speed analysis, pressure analysis, angle analysis, etc. The report is presented in the form of a combination of charts and text, which is intuitive and easy to understand, and is convenient for students and teachers to refer to and analyze.

[0061] The remote teaching system can automatically recommend corresponding exercises and learning materials based on the students' writing characteristics to help students gradually improve their writing skills. The recommendation algorithm is based on the students' historical data and AI analysis results. The refinement of personalized recommendations: The recommendation algorithm is based on the students' writing history data, analyzes the students' writing habits and problems, and automatically generates a personalized practice plan. The system can recommend various types of exercises, such as copybooks, calligraphy practice videos, interactive exercises, etc., to help students gradually improve their writing skills.

[0062] The remote teaching system can support multi-person online interactive teaching. Teachers can monitor and guide the writing process of multiple students in real time to improve teaching efficiency and effectiveness. The interactive functions include real-time video, voice and text communication. The function of multi-person interactive teaching: The interactive teaching system supports multiple communication methods, such as real-time video, voice and text communication, to ensure efficient communication between teachers and students. Teachers can monitor the writing situation of each student in real time, provide instant feedback and guidance, and improve teaching effectiveness.

[0063] When working, students use smart pens or handwriting tablets to write. These devices have built-in multiple high-precision sensors, including pressure sensors, acceleration sensors and angle sensors, which can capture detailed writing data in real time. The pressure sensor records the pressure changes applied by the pen tip, the acceleration sensor monitors the movement speed of the pen, and the angle sensor measures the tilt angle of the pen. During the writing process, these sensors continuously collect parameters such as the starting position, ending position, writing speed, pen tip angle and pressure of the strokes. These data are transmitted to the distance learning system in real time via wireless or wired networks. After receiving the writing data, the distance learning system stores it in the data storage module to ensure the integrity and security of the data. The data processing module These data are classified, screened and preliminarily analyzed in preparation for further intelligent analysis. During the processing, the system organizes the data and generates a format suitable for AI algorithm analysis. After the data processing is completed, the distance learning system uses the AI ​​algorithm to conduct an in-depth analysis of the writing data. The AI ​​algorithm compares the student's writing data with the preset standard model to identify problems in the writing process, such as uneven writing speed, deviation of the pen tip angle or abnormal writing pressure. Through these analyses, the system can generate detailed feedback information, including improvement suggestions. The AI ​​algorithm can automatically identify specific problems that students have in the writing process and provide targeted suggestions to optimize the writing quality. The system The system provides real-time feedback during the writing process, dynamically showing the color changes of writing speed through a display screen or projection device. Green indicates a slow writing speed, red indicates a too fast writing speed, and gradient colors provide more accurate speed range feedback. This color change helps students adjust their writing speed instantly to maintain a suitable writing rhythm. At the same time, the system provides detailed improvement suggestions based on the AI ​​analysis results to guide students to make adjustments in actual writing. After writing is completed, the system generates a writing report that lists the analysis results of writing speed, pen tip angle, and pressure parameters in detail. The report is presented in the form of charts and text to facilitate students and teachers to understand. Teachers can use these reports to fully understand students' writing conditions and develop personalized Teaching plans and strategies. The system also automatically recommends appropriate exercises and learning materials based on students' writing history data and analysis results. These recommended exercises are scientific and effective, and are designed to help students gradually improve their writing skills. The intelligent distance learning system supports multi-person online interactive teaching functions. Teachers can monitor and guide the writing process of multiple students at the same time. The system provides real-time video, voice and text communication functions, enabling teachers to communicate with students efficiently. Teachers can answer students' questions through real-time video or voice and provide instant feedback; the text communication function is used for communication when video or voice is not suitable. In this way, teachers can pay attention to more students at the same time and improve overall teaching efficiency.

[0064] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the application should be included in the protection scope of the present application.

Claims

1. An intelligent distance teaching method, characterized in that: The following steps are involved: Use a smart pen or tablet to capture students' handwriting data in real time, including the starting position, ending position, writing speed, pen tip angle and pressure of the strokes; The captured handwriting data is transmitted to the remote teaching system via a wireless or wired network, and stored and processed; Analyze handwriting data through AI algorithms to extract characteristic parameters of writing speed, pen tip angle and pressure; During the writing process, the color changes are used to display the writing speed in real time, where green represents a slower writing speed and red represents an overly fast writing speed. Based on the results of handwriting data analysis, feedback and guidance are provided to students in real time through the distance learning system.

2. The intelligent distance teaching method according to claim 1, characterized in that: The handwriting data includes the starting position, ending position, writing speed, pen tip angle and pressure of the stroke.

3. The intelligent distance teaching method according to claim 1, characterized in that: The dynamic speed indication of the color change is realized through a display screen or a projection device, and the display screen or the projection device can display the color change in real time to provide visual feedback.

4. The intelligent distance teaching method according to claim 1, characterized in that: The AI ​​algorithm generates detailed feedback information, including suggestions for improvements in writing speed, pen angle and pressure, by comparing with a preset standard model.

5. The intelligent distance teaching method according to claim 1, characterized in that: The remote teaching system includes a software platform for storing and processing handwriting data and providing feedback guidance, and the software platform has data analysis, report generation and feedback guidance functions.

6. The intelligent distance teaching method according to claim 1, characterized in that: The remote teaching system further includes an interface for real-time display and playback of the writing process, through which students can view their own writing tracks, speed indications and feedback information.

7. The intelligent distance teaching method according to claim 1, characterized in that: The smart pen or handwriting board has multiple sensors for capturing pressure, tilt angle and speed during writing and transmitting these data to the remote teaching system in real time. The integrated sensors include pressure sensors, acceleration sensors and angle sensors.

8. The intelligent distance teaching method according to claim 1, characterized in that: The remote teaching system can generate a writing report for each student, including analysis and improvement suggestions for writing speed, pen tip angle and pressure parameters, and the writing report can be presented in the form of charts and text.

9. The intelligent distance teaching method according to claim 1, characterized in that: The distance learning system can automatically recommend corresponding exercises and learning materials according to the students' writing characteristics to help students gradually improve their writing skills. The recommendation algorithm is based on the students' historical data and AI analysis results.

10. The intelligent distance teaching method according to claim 1, characterized in that: The remote teaching system can support multi-person online interactive teaching. Teachers can monitor and guide the writing process of multiple students in real time to improve teaching efficiency and effectiveness. The interactive functions include real-time video, voice and text communication.

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