CN117037552A - Intelligent classroom interaction system and method - Google Patents
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Abstract
The application relates to the technical field of education and discloses an intelligent classroom interaction system and method, wherein the intelligent classroom interaction system comprises a teacher end, a cloud server and a student end, the teacher end comprises a teaching computer and a teaching management unit arranged on the teaching computer, the student end comprises a mobile terminal and a learning unit arranged on the mobile terminal, and a cloud database, an intelligent whiteboard module, an intelligent evaluation module and a video recording and playback module are arranged on the cloud server.
Description
Technical Field
The application relates to the technical field of education, in particular to an intelligent classroom interaction system and method.
Background
With the development of computer technology, online classes, which are communication tools for transmitting video, sound and images in real time between users at two or more places by using a network, are established in the internet. In a traditional online classroom, teaching interaction is realized between a teacher and students through electronic equipment, the teacher gives lessons on line through the electronic equipment, and the students learn online through the electronic equipment.
However, online teaching needs to be carried out by means of electronic equipment such as a computer, a mobile phone and an iPad, the initiative and the self-control capability of students are emphasized in the teaching process, and the students and teachers are separated by a screen, so that the teachers are difficult to know the learning state of the students.
Disclosure of Invention
Aiming at the defects of the prior art, the application aims to provide an intelligent classroom interaction system and method.
In order to achieve the above purpose, the present application provides the following technical solutions:
an intelligent classroom interaction system comprises a teacher end, a cloud server and a student end, wherein the teacher end comprises a teaching computer and a teaching management unit arranged on the teaching computer, the student end comprises a mobile terminal and a learning unit arranged on the mobile terminal, the cloud server is provided with a cloud database, an intelligent whiteboard module, an intelligent evaluation module and a video recording and playback module,
the cloud database is used for storing contents in a teacher teaching process, the intelligent whiteboard module is used for displaying contents of teacher teaching or student questions and answers in the teaching process, the intelligent evaluation module is used for analyzing and judging contents submitted by students, evaluating indexes such as accuracy, completion time, difficulty and the like, personalized course recommendation and improvement suggestion are provided for the students and teachers, and the video recording and playback module is used for recording the classroom teaching process and playing back the teaching process when the students learn offline, so that autonomous learning and deep understanding are enhanced.
In some embodiments, the teaching computer includes a touch display, a projector and a camera, wherein the touch display, the projector and the camera are connected with the computer, the touch display is used for displaying full screen content of the intelligent whiteboard module through communication of each hardware matched with the teaching management unit, writing and explaining are performed in the intelligent whiteboard module through touch and handwriting input modes, and the projector can display all data in the teaching process.
In some embodiments, the learning unit comprises a display unit, an interaction unit and a question submitting unit which are connected with the intelligent whiteboard module, and also comprises a video selecting and watching unit which is connected with the video recording and playback module, and the mobile terminal comprises a mobile phone with a camera and an intelligent bracelet for physiological monitoring.
In some embodiments, the cloud database has the function of uploading all questions and answer information submitted by students and teachers to the cloud in real time, inquiring anytime and anywhere, and the students can timely receive questions and answers of the teachers and can be displayed on the intelligent whiteboard module in real time.
In some of these embodiments, the intelligent whiteboard module includes a teacher writing area and a student question and answer area.
In some embodiments, the intelligent evaluation module comprises a sensory evaluation unit and an intelligent evaluation unit, wherein the sensory evaluation unit records emotion, attention, expression capacity and the like of all students in a class for sensing and analyzing, and realizes automatic evaluation of emotion states of the students, so that a teacher is helped to better master learning states of the students, discover problems in time and take corresponding teaching strategies;
the intelligent evaluation unit evaluates the performances of students in terms of speaking, answering questions, cooperating with others and the like in a classroom, generates comprehensive evaluation and advice corresponding to the students, helps teachers to know learning results and existing questions of the students more accurately, and adjusts teaching modes in time.
In some of these embodiments, the sensory evaluation unit includes a facial expression recognition module, a sound analysis module, and a physiological signal detection module,
the facial expression recognition module is used for monitoring and analyzing the facial expression of the student in the class in real time through the computer vision and deep learning technology so as to recognize the emotion state of the student;
the voice analysis module is used for converting the voice signal into a digital signal, and identifying and analyzing the voice of the student by utilizing a voice analysis technology so as to evaluate important parameters such as pronunciation, speed, fluency, accent and the like;
the physiological signal detection module is used for collecting and processing physiological signals of students by using the intelligent bracelet, including heart rate, respiratory rate, galvanic skin response and the like, and analyzing the emotion states of the students.
In some of these embodiments, the intelligent evaluation unit includes a natural language processing module, a machine learning and data mining module, and a decision support module,
the natural language processing module is used for carrying out semantic and contextual analysis on language behaviors of students in a class based on a natural language processing technology so as to evaluate the language expression capability and the oral expression capability of the students;
the machine learning and data mining module is used for generating a learning model of the student by extracting, processing, analyzing and mining the learning data of the student and carrying out relevant evaluation and prediction;
the decision support module is used for presetting a student model, analyzing and predicting the learning state of the student according to the generated student learning model, generating corresponding learning feedback and advice, and helping a teacher to decide a proper teaching strategy.
In order to achieve the above purpose, the present application further provides the following technical solutions: a method of an intelligent classroom interaction system comprises the following steps:
(1) The teacher displays the teaching plan through the touch display, and the teaching contents are displayed on mobile phones of all students through the intelligent whiteboard module;
(2) In the teaching process, a teacher can input and write contents through the touch display, and related contents can be reflected on the intelligent whiteboard module in real time and transmitted to all student ends;
(3) In the course of listening to the lessons, students can carry out the students through the mobile phone, and meanwhile, the students can interact with teachers to submit questions and participate in discussion;
(4) In the teaching process, the cloud server is integrated with an observation and evaluation unit and an intelligent evaluation unit, so that the learning state of students and contents submitted by the students can be analyzed and judged, and the intelligent evaluation accuracy, the completion time, the difficulty and other indexes are evaluated intelligently, so that personalized course recommendation and improvement suggestion are provided for the students and teachers;
(5) After teaching is completed, storing the content of the whole lesson into a cloud database through a video recording and playback unit;
(6) When students learn offline, the students can play back through the mobile phone, so that autonomous learning and deep understanding are enhanced.
In some of these embodiments, in addition to the above-described embodiments,
according to the step (1), a teacher can touch the display to display teaching plan including text, pictures, charts and the like, the teacher can transmit teaching contents to mobile phones of all students in real time through the intelligent whiteboard module, and the students can view the contents displayed by the teacher at any time through the mobile phones and are not limited by positions and sight lines of the class;
according to the step (2), a teacher can input contents through the touch display, including characters, formulas and the like, and can also perform handwriting, including writing notes, drawing figures and the like, and the operations can be reflected on the intelligent whiteboard module in real time and transmitted to mobile phones of all students, so that the students can see real-time explanation and demonstration of the teacher;
according to the step (3), students learn through mobile phones, view the content displayed by the teachers, communicate with the teachers in real time, submit questions through the mobile phones, and the teachers can answer timely;
according to the step (4), the cloud server is integrated with an observation and evaluation unit and an intelligent evaluation unit, and the observation and evaluation unit is used for analyzing and evaluating the learning state and learning performance of the students, and the observation and evaluation unit can analyze the emotion states of the students, including concentration degree, emotion state and the like, so that teachers can better know the learning state of the students; the intelligent assessment unit can assess learning performance of students, including indexes such as accuracy, completion time, difficulty and the like, provide personalized course recommendation and improvement suggestion for the students and teachers, help the students to improve learning effect, and help the teachers to conduct targeted teaching;
according to the step (5), after teaching is completed, the system stores the content of the whole lesson through a video recording and playback unit, so that students can play back the lessons through mobile phones when needed, autonomous learning and deepening understanding are enhanced, the students can review the teaching content at any time, and learning results are consolidated;
according to the step (6), students can play back courses through mobile phones after offline learning or class, review teaching contents at any time and any place, strengthen understanding and memorizing of knowledge, play back through mobile phones, and independently arrange learning time and place, so that learning efficiency and flexibility are improved.
Compared with the prior art, the application has the beneficial effects that:
an interactive teaching platform integrating various technical means and methods aims at maximally improving the teaching efficiency of teachers, the learning ability of students and the excitation of autonomous learning and promoting the effective interaction and communication between students and teachers.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the other features, objects, and advantages of the application, and to provide a thorough description and understanding of the application in terms of the embodiments of the application.
Drawings
FIG. 1 is a block diagram of a system according to the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, the application provides a smart classroom interaction system, which comprises a teacher end, a cloud server and a student end, wherein the teacher end comprises a teaching computer and a teaching management unit arranged on the teaching computer, the student end comprises a mobile terminal and a learning unit arranged on the mobile terminal, the cloud server is provided with a cloud database, an intelligent whiteboard module, an intelligent evaluation module, a video recording and playback module,
the cloud database is used for storing contents in a teacher teaching process, the intelligent whiteboard module is used for displaying contents of teacher teaching or student questions and answers in the teaching process, the intelligent evaluation module is used for analyzing and judging contents submitted by students, evaluating indexes such as accuracy, completion time, difficulty and the like, personalized course recommendation and improvement suggestion are provided for the students and teachers, and the video recording and playback module is used for recording the classroom teaching process and playing back the teaching process when the students learn offline, so that autonomous learning and deep understanding are enhanced.
The teaching computer comprises a touch display, a projector and a camera, wherein the touch display, the projector and the camera are connected with the computer, the touch display is used for displaying the full-screen content of the intelligent whiteboard module through communication of each hardware matched with the teaching management unit, writing and explaining are performed in the intelligent whiteboard module in a touch and handwriting input mode, and the projector can display all data in the teaching process.
The learning unit comprises a display unit, an interaction unit and a problem submitting unit which are connected with the intelligent whiteboard module, and also comprises a video selecting and watching unit which is connected with the video recording and playback module, and the mobile terminal comprises a mobile phone with a camera and an intelligent bracelet for physiological monitoring.
The cloud database has the function of uploading all questions and answer information submitted by students and teachers to the cloud in real time and inquiring at any time and any place, and the students can timely receive questions and answers of the teachers and can be displayed on the intelligent whiteboard module in real time.
The intelligent whiteboard module comprises a teacher writing area and a student question-answering area.
Through regional display, teaching efficiency can be improved, information confusion is avoided.
The intelligent evaluation module comprises a sensory evaluation unit and an intelligent evaluation unit:
the sensory evaluation unit records emotion, attention, expression capacity and the like of all students in a classroom for perception and analysis, realizes automatic evaluation of emotion states of the students, thereby helping teachers to better master learning states of the students, discover problems in time and adopt corresponding teaching strategies;
the specific scheme is as follows:
emotion perception: through data collection in the forms of audio and video, emotion recognition algorithms are utilized to sense and analyze the voice, the expression, the limb language and the like of the students, and the emotion states of the students such as happiness, sadness, anxiety and the like are recognized.
Attention assessment: the attention of the students in the class is evaluated through an eye tracking technology or other attention evaluation algorithms, indexes such as the gaze point, the gaze time and the like of the students are analyzed, and the attention concentration degree of the students is judged.
Expression ability analysis: through techniques such as voice recognition and text analysis, the speaking content of students in a class is analyzed, the expression capacity of the students is estimated, and indexes such as language fluency, vocabulary, grammar accuracy and the like can be considered.
Emotional state evaluation: according to the results of emotion perception, attention assessment and expression capability analysis, the emotion states of students are comprehensively evaluated, such as aggressiveness, concentration, confidence and the like, and the evaluation results can be presented to teachers in the form of characters, charts and the like.
And (3) teaching strategy adjustment: according to the emotion state evaluation of students, teachers can timely find emotion problems, attention problems or expression ability problems of the students and adjust the emotion problems, such as encouragement and care of students with low emotion, guidance and incentive of students with low attention, personalized coaching of students with poor expression ability and the like.
Feedback mechanism: the teacher can interact and feed back with students through online classroom software to know the reaction and effect of the students on teaching adjustment, so that teaching strategies are further optimized. Meanwhile, students can express own learning requirements and feelings to teachers through a feedback mechanism.
The intelligent evaluation unit evaluates the performances of students in terms of speaking, answering questions, cooperating with others and the like in a classroom, generates comprehensive evaluation and advice corresponding to the students, helps teachers to know learning results and existing questions of the students more accurately, and adjusts teaching modes in time.
The specific scheme is as follows:
and (3) data collection: by collecting the behavior data of students, such as speaking, answering questions, cooperating with others and the like in a class, the student can perform expressions in the forms of words, voice, video and the like.
Data analysis: the collected data is analyzed through artificial intelligence technology, including semantic analysis, emotion analysis, cooperation behavior analysis and the like, and comprehensive evaluation of the students is generated through quantification and evaluation of the performances of the students.
And (3) comprehensive evaluation: and generating comprehensive evaluation of the students according to the analysis result, wherein the comprehensive evaluation comprises evaluation in aspects of learning attitude, learning ability, cooperation ability and the like, and the evaluation result can be presented to teachers in the forms of characters, charts and the like.
Advice feedback: based on the analysis results, specific suggestions for students are given, including learning strategies, direction of improvement, etc., which may be presented to the teacher in text, speech, video, etc.
Teaching adjustment: according to comprehensive evaluation and suggestion of students, teachers timely adjust teaching modes and contents, and conduct differentiated teaching aiming at individual differences of the students so as to improve learning results of the students.
Feedback mechanism: the teacher can interact and feed back with students through online classroom software to know the reaction and effect of the students on teaching adjustment, so that teaching strategies are further optimized.
The intelligent evaluation system is used for evaluating the speaking speed, intonation, coordination degree and the like of the students, analyzing the defects in terms of language expression capability and cooperation capability of the students and giving corresponding suggestions to help the students improve in the future. Therefore, a teacher can better know the learning condition of the student, give specific teaching feedback and improve the learning effect of the student.
The sensory evaluation unit comprises a facial expression recognition module, a sound analysis module and a physiological signal detection module.
The facial expression recognition module is used for monitoring and analyzing the facial expression of the student in the class in real time through the computer vision and deep learning technology so as to recognize the emotion state of the student;
the voice analysis module is used for converting the voice signal into a digital signal, and identifying and analyzing the voice of the student by utilizing a voice analysis technology so as to evaluate important parameters such as pronunciation, speed, fluency, accent and the like;
the physiological signal detection module is used for collecting and processing physiological signals of students by using the intelligent bracelet, including heart rate, respiratory rate, galvanic skin response and the like, and analyzing the emotion states of the students.
Based on video analysis and emotion recognition algorithm, analyzing the expression and emotion state of students in class, evaluating the expression and understanding ability of students, intelligently recommending corresponding courses or practice problems, and providing improvement suggestions.
The intelligent evaluation unit comprises a natural language processing module, a machine learning and data mining module and a decision support module,
the natural language processing module is used for carrying out semantic and contextual analysis on language behaviors of students in a class based on a natural language processing technology so as to evaluate the language expression capability and the oral expression capability of the students;
the machine learning and data mining module is used for generating a learning model of the student by extracting, processing, analyzing and mining the learning data of the student and carrying out relevant evaluation and prediction;
the decision support module is used for presetting a student model, analyzing and predicting the learning state of the student according to the generated student learning model, generating corresponding learning feedback and advice, and helping a teacher to decide a proper teaching strategy.
And performing data mining and machine learning by utilizing a large amount of historical data and feedback information of students and teachers, establishing a model, intelligently evaluating indexes such as the capability, weak items, error rate and the like of the students, and providing personalized course recommendation and improvement suggestion for the students.
A method of an intelligent classroom interaction system comprises the following steps:
(1) The teacher displays the teaching plan through the touch display, and the teaching contents are displayed on mobile phones of all students through the intelligent whiteboard module: a teacher can use the touch display to display a teaching plan, including contents such as characters, pictures, charts and the like. Through intelligent whiteboard module, the teacher can transmit teaching content to all students' cell-phones in real time. Students can check the content displayed by teachers at any time through the mobile phone and are not limited by positions and sights of the classroom.
(2) In the teaching process, a teacher can input content and write by handwriting through the touch display, and related content can be reflected on the intelligent whiteboard module in real time and transmitted to all student ends: the teacher can input contents such as characters, formulas and the like through the touch display, and can also write handwriting such as writing notes, drawing figures and the like. These operations are reflected in real time on the intelligent whiteboard module and transmitted to the mobile phones of all students, ensuring that the students can see the teacher's real-time explanation and presentation.
(3) Students can learn through the mobile phone in the course of listening to lessons, can interact with the teacher at the same time, submit questions, participate in discussion: students can learn through mobile phones, view the content displayed by teachers, and can communicate with the teachers in real time. Students can submit questions through mobile phones, and teachers can answer in time. In addition, students can participate in the discussion and make their own views and ideas, and interact with the teacher and other students.
(4) In the teaching process, the cloud server is integrated with the observation and evaluation unit and the intelligent evaluation unit, so that the learning state of the students and the submitted content of the students can be analyzed and judged, and the intelligent evaluation accuracy, the completion time, the difficulty and other indexes can be evaluated intelligently, so that personalized course recommendation and improvement suggestion can be provided for the students and teachers: and the cloud server is integrated with an observation and evaluation unit and an intelligent evaluation unit, and is used for analyzing and evaluating the learning state and learning performance of the students. The observation and evaluation unit can analyze the emotion states of the students, such as concentration degree, emotion states and the like, and helps teachers to better know the learning states of the students. The intelligent assessment unit can assess the learning performance of students, such as indexes of accuracy, completion time, difficulty and the like, provide personalized course recommendation and improvement suggestion for the students and teachers, help the students to improve learning effect, and help the teachers to conduct targeted teaching.
(5) After teaching is completed, the content of the whole lesson is stored into a cloud database through a video recording and playback unit: after teaching is completed, the system stores the content of the whole lesson through a video recording and playback unit. Therefore, students can play back courses through the mobile phone when needed, and autonomous learning and deepening understanding are enhanced. Students can review the teaching content at any time and consolidate the learning results.
(6) When students learn offline, the students can play back through the mobile phone, so that autonomous learning and deepened understanding are enhanced: students can play back courses through the mobile phone during offline learning. They can review the teaching content anytime and anywhere, enhancing knowledge understanding and memorization. Through the playback of the mobile phone, students can independently arrange learning time and places, and learning efficiency and flexibility are improved.
Through the steps, the intelligent classroom interaction system can realize real-time interaction and communication between teachers and students, provide personalized learning support and assessment, and simultaneously facilitate the students to learn and review offline. The system can promote teaching effect and promote active participation and deep understanding of students.
Through the technical scheme of the application, through the interactive teaching platform integrating various technical means and methods, the teaching efficiency of teachers, the learning ability of students and the excitation of autonomous learning are improved to the maximum extent, and the effective interaction and communication between students and teachers are promoted.
The foregoing examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Although embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the application, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. An intelligent classroom interaction system, which is characterized in that: comprises a teacher end, a cloud server and a student end, wherein the teacher end comprises a teaching computer and a teaching management unit arranged on the teaching computer, the student end comprises a mobile terminal and a learning unit arranged on the mobile terminal, the cloud server is provided with a cloud database, an intelligent whiteboard module, an intelligent evaluation module and a video recording and playback module,
the cloud database is used for storing contents in a teacher teaching process, the intelligent whiteboard module is used for displaying contents of teacher teaching or student questions and answers in the teaching process, the intelligent evaluation module is used for analyzing and judging contents submitted by students, evaluating indexes such as accuracy, completion time, difficulty and the like, personalized course recommendation and improvement suggestion are provided for the students and teachers, and the video recording and playback module is used for recording the classroom teaching process and playing back the teaching process when the students learn offline, so that autonomous learning and deep understanding are enhanced.
2. The intelligent classroom interaction system of claim 1 wherein: the teaching computer comprises a touch display, a projector and a camera, wherein the touch display, the projector and the camera are connected with the computer, the touch display is used for displaying the full-screen content of the intelligent whiteboard module through communication of each hardware matched with the teaching management unit, writing and explaining are performed in the intelligent whiteboard module in a touch and handwriting input mode, and the projector can display all data in the teaching process.
3. The intelligent classroom interaction system of claim 2 wherein: the learning unit comprises a display unit, an interaction unit and a problem submitting unit which are connected with the intelligent whiteboard module, and also comprises a video selecting and watching unit which is connected with the video recording and playback module, and the mobile terminal comprises a mobile phone with a camera and an intelligent bracelet for physiological monitoring.
4. The intelligent classroom interaction system of claim 1 wherein: the cloud database has the function of uploading all questions and answer information submitted by students and teachers to the cloud in real time and inquiring at any time and any place, and the students can timely receive questions and answers of the teachers and can be displayed on the intelligent whiteboard module in real time.
5. The intelligent classroom interaction system of claim 1 wherein: the intelligent whiteboard module comprises a teacher writing area and a student question-answering area.
6. A smart classroom interaction system as in claim 3, wherein: the intelligent evaluation module comprises a sensory evaluation unit and an intelligent evaluation unit, wherein the sensory evaluation unit records emotion, attention, expression capacity and the like of all students in a classroom for perception and analysis, and realizes automatic evaluation of the emotion states of the students, so that a teacher is helped to better master the learning states of the students, discover problems in time and adopt corresponding teaching strategies;
the intelligent evaluation unit evaluates the performances of students in terms of speaking, answering questions, cooperating with others and the like in a classroom, generates comprehensive evaluation and advice corresponding to the students, helps teachers to know learning results and existing questions of the students more accurately, and adjusts teaching modes in time.
7. The intelligent classroom interaction system of claim 6 wherein: the sensory evaluation unit comprises a facial expression recognition module, a sound analysis module and a physiological signal detection module,
the facial expression recognition module is used for monitoring and analyzing the facial expression of the student in the class in real time through the computer vision and deep learning technology so as to recognize the emotion state of the student;
the voice analysis module is used for converting the voice signal into a digital signal, and identifying and analyzing the voice of the student by utilizing a voice analysis technology so as to evaluate important parameters such as pronunciation, speed, fluency, accent and the like;
the physiological signal detection module is used for collecting and processing physiological signals of students by using the intelligent bracelet, including heart rate, respiratory rate, galvanic skin response and the like, and analyzing the emotion states of the students.
8. The intelligent classroom interaction system of claim 6 wherein: the intelligent evaluation unit comprises a natural language processing module, a machine learning and data mining module and a decision support module,
the natural language processing module is used for carrying out semantic and contextual analysis on language behaviors of students in a class based on a natural language processing technology so as to evaluate the language expression capability and the oral expression capability of the students;
the machine learning and data mining module is used for generating a learning model of the student by extracting, processing, analyzing and mining the learning data of the student and carrying out relevant evaluation and prediction;
the decision support module is used for presetting a student model, analyzing and predicting the learning state of the student according to the generated student learning model, generating corresponding learning feedback and advice, and helping a teacher to decide a proper teaching strategy.
9. A method of a smart class interactive system, characterized by: the method comprises the following steps:
(1) The teacher displays the teaching plan through the touch display, and the teaching contents are displayed on mobile phones of all students through the intelligent whiteboard module;
(2) In the teaching process, a teacher can input and write contents through the touch display, and related contents can be reflected on the intelligent whiteboard module in real time and transmitted to all student ends;
(3) In the course of listening to the lessons, students can carry out the students through the mobile phone, and meanwhile, the students can interact with teachers to submit questions and participate in discussion;
(4) In the teaching process, the cloud server is integrated with an observation and evaluation unit and an intelligent evaluation unit, so that the learning state of students and contents submitted by the students can be analyzed and judged, and the intelligent evaluation accuracy, the completion time, the difficulty and other indexes are evaluated intelligently, so that personalized course recommendation and improvement suggestion are provided for the students and teachers;
(5) After teaching is completed, storing the content of the whole lesson into a cloud database through a video recording and playback unit;
(6) When students learn offline, the students can play back through the mobile phone, so that autonomous learning and deep understanding are enhanced.
10. The method of the intelligent classroom interaction system of claim 9 wherein:
according to the step (1), a teacher can touch the display to display teaching plan including text, pictures, charts and the like, the teacher can transmit teaching contents to mobile phones of all students in real time through the intelligent whiteboard module, and the students can view the contents displayed by the teacher at any time through the mobile phones and are not limited by positions and sight lines of the class;
according to the step (2), a teacher can input contents through the touch display, including characters, formulas and the like, and can also perform handwriting, including writing notes, drawing figures and the like, and the operations can be reflected on the intelligent whiteboard module in real time and transmitted to mobile phones of all students, so that the students can see real-time explanation and demonstration of the teacher;
according to the step (3), students learn through mobile phones, view the content displayed by the teachers, communicate with the teachers in real time, submit questions through the mobile phones, and the teachers can answer timely;
according to the step (4), the cloud server is integrated with an observation and evaluation unit and an intelligent evaluation unit, and the observation and evaluation unit is used for analyzing and evaluating the learning state and learning performance of the students, and the observation and evaluation unit can analyze the emotion states of the students, including concentration degree, emotion state and the like, so that teachers can better know the learning state of the students; the intelligent assessment unit can assess learning performance of students, including indexes such as accuracy, completion time, difficulty and the like, provide personalized course recommendation and improvement suggestion for the students and teachers, help the students to improve learning effect, and help the teachers to conduct targeted teaching;
according to the step (5), after teaching is completed, the system stores the content of the whole lesson through a video recording and playback unit, so that students can play back the lessons through mobile phones when needed, autonomous learning and deepening understanding are enhanced, the students can review the teaching content at any time, and learning results are consolidated;
according to the step (6), students can play back courses through mobile phones after offline learning or class, review teaching contents at any time and any place, strengthen understanding and memorizing of knowledge, play back through mobile phones, and independently arrange learning time and place, so that learning efficiency and flexibility are improved.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117830043A (en) * | 2024-03-04 | 2024-04-05 | 南京世纪龙软件科技有限公司 | Intelligent teaching data management method and platform |
| CN118297766A (en) * | 2024-06-06 | 2024-07-05 | 朗朗教育科技股份有限公司 | Multiuser cooperative pre-school intelligent classroom management system |
| CN118587950A (en) * | 2024-08-07 | 2024-09-03 | 瓯越启明智慧城市建设发展集团有限公司 | Interactive LED display system for intelligent education |
| CN118587950B (en) * | 2024-08-07 | 2024-10-22 | 瓯越启明智慧城市建设发展集团有限公司 | Interactive LED display system for intelligent education |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117830043A (en) * | 2024-03-04 | 2024-04-05 | 南京世纪龙软件科技有限公司 | Intelligent teaching data management method and platform |
| CN117830043B (en) * | 2024-03-04 | 2024-06-11 | 南京世纪龙软件科技有限公司 | Intelligent teaching data management method and platform |
| CN118297766A (en) * | 2024-06-06 | 2024-07-05 | 朗朗教育科技股份有限公司 | Multiuser cooperative pre-school intelligent classroom management system |
| CN118587950A (en) * | 2024-08-07 | 2024-09-03 | 瓯越启明智慧城市建设发展集团有限公司 | Interactive LED display system for intelligent education |
| CN118587950B (en) * | 2024-08-07 | 2024-10-22 | 瓯越启明智慧城市建设发展集团有限公司 | Interactive LED display system for intelligent education |
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