1360results about How to "Improve teaching quality" patented technology

The invention provides a classroom teaching auxiliary system which comprises a data collecting device, a data interaction device and a data analyzing device, wherein the data collecting device and the data interaction device are connected in a wireless mode to carry out data transmission, and the data interaction device is connected to the data analyzing device through a data transmission cable. The data collecting device comprises an information collector which is used for checking-in, selecting, grading, voting and electronically raising hands, and at the same time the data collector collects teaching management data. The data analyzing device carries out statistic analysis on the teaching management data which are collected by the data collector, and obtains a teaching quality report. The classroom teaching auxiliary system can increase constraint force on classroom discipline, strengths supervision on teaching quality, arouses learning initiative of students, assists classroom teaching of teachers, solves the problems of style of study and style of teaching in traditional teaching, and continuously improves the teaching quality. The classroom teaching auxiliary system not only can objectively and reliably monitor quality characteristics of the classroom teaching, but also can analyze scientifically and accurately on the basis of monitoring and then provide a more reasonable teaching quality report and a rectification and reform program.

The invention provides a method for constructing a surgical virtual operation teaching and training system. The method comprises the following concrete steps: (1) acquiring various inspection data classified according to normal people and patients, intensively storing the acquired data, and constructing an integrated male virtual human model and an integrated female virtual human model; (2) carrying out geometric modeling, computational modeling and deformation computation on medical data, and carrying out modeling on bones and soft tissues by adopting a multi-outline three-dimensional reconstruction algorithm; (3) reconstructing by adopting a three-dimensional model of 3DMAX10, mapping and giving physiological characteristics to organic tissues; (4) compiling related objects and simulated scenes of a virtual operation by virtual reality modeling language (VRML); (5) carrying out preoperative preparation in the virtual operation scenes, and checking and confirming patient information; (6) carrying out complete operational details of the actual method of the virtual operation again; (7) establishing a simulated operation teaching evaluation system; and (8) carrying out comprehensive evaluation and examination on a teacher and each trainee. In the method, the simulated operation teaching system is constructed by utilizing the virtual reality technology, thereby providing a wide and transparent simulated teaching and research platform for hospitals and medical schools.

The invention provides an online classroom atmosphere evaluation system and method. The evaluation system comprises a video stream collection module, a data stream processing module, an image analysismodule, a classroom attendance analysis module, a classroom atmosphere evaluation module, a classroom atmosphere scoring module and a display module; . The invention collects classroom video stream data through a camera, and the captured video is captured frame by frame to obtain images; all the faces images are segmented and numbered sequentially, at the same time, the eigenvalues are assigned to the faces with the corresponding numbers, and then face recognition and facial expression recognition are carried out according to the number, so as to identify the number, emotion and movement posture of students in the video stream data; the score 0 is given to the students lowering heads in the image and the score 1 is given to students having interaction; according to the emotional analysisstrategy of students listening to the teacher, the current student listening student score is obtained and finally comprehensive evaluation of the classroom atmosphere score is obtained. The inventioncan evaluate the classroom quality on-line and in real time, and can effectively improve the evaluation effect.

One rotate liquid integrated experimental instrument relates to running framework, speed controlling and adjusted module, speed measuring and display module, laser and measure part. Running framework is inside of the box and the disk on the top of the box fixed with bearing of electrical machinery moves with it; the box plate owns timing switch, positive and negative turning dialing switch, speed number display and laser electrical source. There are two vertical support poles with scales which measures and fixes measuring parts of the different experiment content and adjusts the position and direction. The rotate liquid integrated physics experimental instrument is fit for acceleration of gravity, viscosity factor measure and research of optics system that combines mechanics, electricity and optics.

The invention discloses a teacher-student interaction network system and method for classroom teaching. The teacher-student interaction network system for classroom teaching comprises teacher terminalequipment, a network server device and student terminal equipment, wherein the teacher terminal equipment is used for demonstrating electronic teaching plan documents during the class, acquiring voice information when a teacher gives a lesson, meanwhile copying interfaces during demonstration of the electronic teaching plan documents as image information, merging the interfaces with the voice information to generate teaching video information, compressing and encoding the teaching video information and then transmitting the teaching video information to the network server device, and sharingthe teaching video information to all the student terminal equipment. Students can decode and play the teaching video information through the student terminal equipment. The students can transmit character or expression information to the teacher terminal equipment, and the character or expression information is displayed in a rolling manner by a bullet screen mode to remind the teacher to adjustthe teaching speed in time or answer questions in a targeted manner. The teacher-student interaction network system and method for classroom teaching can be used for classroom teaching of colleges, middle schools and primary schools, disconnection of the teacher from students is avoided, and thus, the teaching efficiency and the teaching quality are improved.

The invention discloses an omnidirectional real-time student nursing assistant education home-school-student wireless linkage system, which comprises a server, a plurality of nodes, a first mobile terminal and a second terminal, wherein each node is provided with a monitoring camera and a bluetooth node, the first mobile terminal is provided with a vital sign sensor, a bluetooth module, an image / video / audio acquisition module and a GPS positioning module, and the second terminal comprises an operation platform and a display platform; and an early-warning system arranged in the omnidirectional real-time student nursing assistant education home-school-student wireless linkage system comprises a safety early-warning subsystem and a positioning early-warning subsystem, the safety early-warning subsystem compares vital sign sensing data acquired by the first mobile terminal with preset indexes, generates a safety early-warning signal according to comparison results and transmits the safety early-warning signal to the second terminal in a wireless mode to achieve safety early-warning, and the positioning early-warning subsystem performs positioning through the bluetooth module of the first mobile terminal and can perform positioning through the GPS positioning module of the first mobile terminal. The omnidirectional real-time student nursing assistant education home-school-student wireless linkage system can enhance safety precaution of students, promotes home-school interactive education, and improves teaching quality.

The invention relates to a system and a method for reminding teacher emotion in classroom teaching. The system comprises a sound acquisition module, a voice recognition module, an emotion classification module and an emotion reminding module, wherein the sound acquisition module is used for acquiring voice of a teacher during the teaching process in real time and forming voice information; the voice recognition module is used for performing voice recognition on the voice information, and judging whether the voice information contains set emotional words so as to obtain voice recognition results; the emotion classification module is used for performing emotion classification on the voice information to obtain emotion classification results, and conducting confidence coefficient grading on the obtained emotion classification results; and the emotion reminding module is used for conducting emotion reminding according to the voice recognition results and the emotion classification results. The system and the method adopt combined voice recognition and emotion classification for judging emotions of the teacher during the teaching process, increase accuracy rate of emotion judgment, help the teacher to conduct emotional control effectively in classroom, and protect physical and psychological health of students while increasing teaching quality.

The invention discloses an intelligent glove, which comprises a base material, a sensor assembly, a power supply and a data processing device. At least one group of finger sensor assembly is arranged on the base material, and is connected with the data processing device through connection circuits; the power supply is responsible for supplying power; the data processing device is used for processing signals of the sensor assembly; and the sensor assembly comprises fingertip pressure sensors, finger movement attitude sensors, finger bending detection sensors and inter-finger state detection sensors, which can detect pressure data obtained when fingertips touch an object, motion direction and motion speed data of each finger, bending degree of each finger and the separation or closing state between fingers respectively. Through data acquisition and analysis and processing of the sensors, the intelligent glove not only can identify static gestures, but also can identify dynamic gestures, so that "personal example" teaching mode is truly realized, and teaching quality is improved efficiently.

The invention provides a system for assisting teachers in automatically, rapidly and accurately checking attendance in real time in the class. The system has a function of statistical analysis on attendance data and an alarm prompt function. According to the system, wireless connection between a mobile intelligent terminal for teachers and a mobile intelligent terminal for students is realized through WIFI under the condition that extra equipment is not needed, and an MAC address of the connected mobile intelligent terminal for students is matched with an MAC address of a mobile intelligent terminal for course-selecting students acquired in advance, so that automatic attendance checking is carried out. The system has the characteristics of automation, high speed, high accuracy, low cost and the like. The system consists of five parts, namely the mobile intelligent terminal for teachers, the mobile intelligent terminal for students, automatic attendance software of the mobile terminal for teachers, a PC-terminal attendance system management control center and a WEB server.

The invention discloses an intelligent learner-driven vehicle assisted teaching system. The intelligent learner-driven vehicle assisted teaching system includes a vehicle-mounted host, a satellite positioning system, a vehicle operating state information acquisition processing module, a communication device, an engine flameout control device and an engine flameout remote controller, wherein the satellite positioning system, the vehicle operating state information acquisition processing module and the communication device are all in communication connection with the vehicle-mounted host, the engine flameout control device is in communication connection with the vehicle operating state information acquisition processing module, and the engine flameout remote controller is in wireless communication connection with the engine flameout control device. With the satellite positioning technology-based intelligent learner-driven vehicle assisted teaching system of the invention adopted, the driving operation of a driver can be regulated, teaching quality can be improved, the training cost of a driving school can be reduced, and even autonomous training of learners with no coaches on vehicles accompanied can be realized. The popularization and application of the intelligent learner-driven vehicle assisted teaching system of the invention will bright great economic benefits and social benefits.

The invention discloses a classroom teaching evaluation method and system based on expression recognition. The method comprises the steps that S1, teacher teaching images and time tags are stored in an associated mode; S2, student classroom images are processed, classroom performance standard reaching judgment is performed on the listening state and / or understanding degree of each student at eachcollection time point, if classroom performance does not reach a standard, each collection time point is marked as a video clip tag of each student; S3, classroom performance evaluation of the students is obtained; and S4, the dense degree of each knowledge point is calculated, all the knowledge points are ordered according to the dense degrees, and classroom teaching quality evaluation is performed based on the classroom performance evaluation in a student set. According to the classroom teaching evaluation method and system, teaching evaluation is refined to each knowledge point on a classroom; and time periods when the classroom performance of each student does not reach the standard are recorded through the video clip tags, so that it is convenient to grasp the learning effect and after-class review of each student and perform accurate evaluation on the classroom teaching quality through the listening states and the understanding degrees.

The invention discloses a class-type online teaching system and method. The system consists of a plurality of clients of a social contact platform, and a cloud platform. The method comprises the steps that firstly, a teacher builds an online teaching resource on the cloud platform; secondly, the teacher uploads the teaching resource through the cloud platform and a user uploads the teaching resource from the social contact platform; thirdly, the teacher carries out the online interactive teaching for the students, and the cloud platform carries out the real-time recording of the online interactive teaching process; fourthly, the students achieves the autonomous online learning according to the student data information in a cloud platform database, and the teacher achieves the targeted explanation and comment, analysis and coaching; finally, the teacher masters the learning state of all students according to the student data information in the cloud platform database. The method is advantageous in that the method enables the students to achieve fragmented, interesting and autonomous learning; the teacher achieves the automatic and intelligent teaching management, and creates a novel teaching mode; and an external student module brings unique classroom experience.

The invention discloses an intelligent robot system for motor vehicle driver training. The intelligent robot system comprises an industry supervision platform, a public service platform and a training intelligent robot. Data interaction is performed through a wireless network, so that supervision, on-line examination and approval, intelligent teaching, a mock examination and process analysis are performed on the driver training industry. Working efficiency of a driver training industry department in charge is improved, teaching cost of a driving school is reduced, the training teaching process is standardized, teaching quality is improved, learning efficiency of learners can be rapidly improved, safety in the training process is improved, and a teaching program is implemented. In this way, potential traffic dangers are reduced, and social and public life and property safety is guaranteed.

The invention relates to an intelligent remote monitoring system which comprises a center controller, at least one monitoring subsystem, at least one intelligent holder, a monitoring server, a mobile terminal and a fixed terminal, wherein the center controller is used for transmitting a control command to each monitoring subsystem and transmitting site data to the monitoring server; each monitoring subsystem is used for controlling linkage between the intelligent holders in a corresponding monitoring region and managing the site data; each intelligent holder is used for acquiring the site data and transmitting the site data to the corresponding monitoring subsystem and the monitoring server; the monitoring server is used for receiving the site data transmitted by the center controller and the monitoring subsystems and sending site data information to the mobile terminal and the fixed terminal; the mobile terminal is connected with the monitoring server through the mobile Internet and is used for monitoring the site in real time; and the fixed terminal is directly connected with the monitoring server and is used for monitoring the site in real time. The intelligent remote monitoring system realizes intelligent monitoring for the site, is suitable for teaching management and can be applied to monitoring in the fields of public police, traffic and the like after being slightly changed.

The invention discloses an intelligent teaching system comprising multiple teaching terminals. The intelligent teaching system comprises a cloud server, at least two teaching terminals and at least one learning terminal, wherein the cloud server stores teaching data information; the at least two teaching terminals are in network connection with the cloud server; the at least one learning terminal is in network connection with the cloud server and receives teaching information of the teaching terminals. According to the intelligent teaching system comprising the multiple teaching terminals, teaching resources are integrated by the cloud server and issued respectively by the learning terminals, and students can acquire knowledge required to be learnt through the corresponding learning terminals according to demands; besides, the compatibility of access to the teaching data information is improved through browsers.

The invention relates to the field of intelligent teaching, in particular to a student behavior analysis and identification system for an intelligent classroom. The system comprises a coordinate and posture capture module, which obtains the position coordinates of each student and captures the facial orientation posture and hand movement posture of each student. The attention point calculation module obtains the facial orientation posture of the students and calculates the classroom attention points of the students through the facial orientation posture; Behavior recognition module obtains students' attention points and hand gestures, and recognizes students' classroom behavior through students' classroom attention points and hand gestures; Behavior comparison module, to obtain the classroom behavior of each student, and compare with the classroom behavior of its neighboring students, to judge the classroom state of each student; the result feedback module is used to feedback the students' classroom state and feedback it to the teacher in real time. The present invention solves the problem that the prior art is inaccurate in identifying and judging the classroom state of students.

The invention discloses an in-class student learning status assessment system based on wearable physiological signal monitoring. The in-class student learning status assessment system based on the wearable physiological signal monitoring comprises a wearable multi-physiological signal acquisition module, a physiological signal transmission and synchronization module, a server-side data analysis module, and a learning status assessment module. The wearable multi-physiological signal acquisition module acquires electroencephalogram signals, electrocardiogram signals and pulse wave signals of students; the physiological signal transmission and synchronization module synchronizes time stamps of the various physiological signals, and transmits data to the server-side data analysis module in a wireless way; the server-side data analysis module performs pretreatments on the various physiological signals, carries out attribute extraction, inputs attribute vectors into a classification model soas to obtain learning state indexes of students, and uploads the learning state indexes to the learning status assessment module; and the learning status assessment module displays data uploaded by the server-side data analysis module to a teacher. Compared with existing evaluation ways, the in-class student learning status assessment system based on the wearable physiological signal monitoring is more intelligent, objective and accurate; and thus, the system is conducive to promotion of teaching level and teaching quality.

The invention relates to a facial-recognition-based network teaching method and system. Facial feature identification can be carried out on a student in real time during the whole courseware learning period, so that the network teaching can realize the same effect as the face-to-face teaching. Meanwhile, a certain number of times of failure is allowed, so that a stable and smooth learning environment can be provided for the student in a real-time monitoring mode and the learning of the student can be prevented from being influenced due to the detection failure or other factors. In addition, the system also provides expression management, so that the teacher can know the reflection of the student conveniently during the courseware learning and thus the network teaching environment is close to the face-to-face teaching. On the basis of the off-line learning function provided by the system, the student can carry out learning on any occasion and an objective of real-time monitoring can be achieved. Besides, with the log management module provided by the system, no more network flow is increased because of real-time monitoring when the student uses a mobile terminal for learning, thereby lowering the learning cost.

The invention discloses an intelligent auxiliary teaching method and system based on face emotion recognition, and the method comprises the steps: carrying out the preprocessing of a face image, collected by a camera device in real time, of a student, and obtaining face data; performing face emotion recognition and student identity recognition on the face data through a three-dimensional face positioning modeling technology to obtain face emotion information and identity information of the student; and inputting the face emotion information into a student state evaluation module for state evaluation, and sending the state evaluation information to an interactive display. According to the invention, emotion information collected in a classroom environment can be analyzed and counted by combining a big data mining technology; and the teaching strategy is pushed to the client, so that the teacher can comprehensively know the mental state and the learning state of the student, and can grasp the classroom teaching condition, thereby helping the teacher to improve the teaching strategy in time, and improving the teaching quality and efficiency.

The invention relates to the field of education, in particular to a cloud teaching system. The cloud teaching system comprises following steps that 1) teachers and students log in the teaching system via browsers; 2) an operation server loads teaching interfaces to teacher end browsers, loads student editors, student code operation windows and teaching interfaces to student end browsers, and then loads student lists to the teacher end browsers; 3) teachers can operate the teaching interfaces on the teacher end browsers; 4) students can write codes on the student editors, and display operation results in the student code operation windows; 5) a teacher can click any one of the students in the student lists, the operation server will transmit the student editor and the student code operation window corresponding to the student to the teacher end browser, and the teacher can correct the codes of the students on the teacher end browser. Thus, students can carry out compilation verification on contents that the teacher is explaining and teachers can help students to compile codes in a remote manner, so teaching quality is improved.

The present invention discloses a teaching quality assessment system based on big data. The system comprises a student terminal-score analysis module, a teacher terminal-score analysis module, a school terminal-teaching quality analysis module and an education bureau terminal-teaching quality analysis module; the teacher terminal-score analysis module is configured for teachers to perform browsing and analysis of the administered class test scores; the school terminal-teaching quality analysis module is configured for school administrators to perform browsing and analysis of the administered class test scores; and the education bureau terminal-teaching quality analysis module is configured to the education bureau managers to perform browsing and analysis of the administered region school test scores. Through the analysis of test scores each time, the teaching quality assessment system based on big data can obtain each layer of score dimension reports which are displayed for each role, and carries out each comparison mode to provide reliable scientific basis for improvement of the teaching level assessment through lateral comparison and vertical comparison.

The invention relates to a terminal examination evaluation system and an evaluation method using the same. The terminal examination evaluation system includes a server, a student terminal system and a teacher terminal system which realize interaction through the Internet, wherein a question bank and question bank answers are stored in the server, homework assignments and examination papers formed by setting questions in the question banks according to attributes of ''question type'', ''score'', ''examination time'', ''grade of difficulty'' are also stored in the server, the server sends a homework assignment and an examination paper to the student terminal system according to an examination command sent by the teacher terminal system, the student terminal system displays the homework assignment or examination paper, a student answer is input to the student terminal system by a user, and is then uploaded back to the server, the server receives the student answer, performs reading and commenting according to the question bank answer, and then sends a reading and commenting result to the examination terminal system and the student terminal system.

The invention discloses an admission, training, internship and employment device based on a job model, and belongs to the field of Internet + vocational education. A task-centered job model based on 'one warehouse (task warehouse), two libraries (knowledge library and skill library), three teaches (boss, master and mentor) and four platforms (admission, training, working and recruitment)' is built. Students go into the job model through an admission cloud platform, and complete learning and examination of related post courses in the task warehouse, the knowledge library and the skill library precisely configured by the three teachers on a training cloud platform. Students accept tasks assigned by the three teachers on a working cloud platform, and can be instructed, evaluated and examined by the three teachers. Meanwhile, students can go into a recruitment cloud platform to apply for a real post and go into employment. According to the invention, admission, training, working and recruitment of posts are controlled in a quantified, standardized and normalized way through the job model, which is beneficial to large-scale customized cultivation and helps students to be recruited quickly and developed toward highly-skilled talents.

The invention discloses an Internet-based interactive behavior art course teaching system and a using method thereof. The teaching system comprises a login module for identifying user identities, a teacher module for teachers to make and upload video courseware, for students to online learn the video courseware, and for school administrators to check and manage the video courseware; an interactivemodule for students and / or parents to interact with teachers online and for the school administrators to perform supervision; and a sharing module for the students to display works, for the teachersto evaluate and rate the works, and for the school administrators to check and manage the works. The Internet-based interactive behavior art course teaching system enables the students to independently choose learning content and to complete the course anytime and anywhere, and can improve the learning effect through one-on-one interaction with the teacher. The school administrators can monitor the curriculum and the interaction, and improve teaching quality.

The invention discloses a method for realizing computer-aided teaching via virtual reality and software research and development technologies. A teaching management platform is built via software development technologies and provides a series of standard WEB interface service; expansion programs for common tools are developed via application program secondary development technologies, the expansion programs call interface service of the teaching management platform when providing basic integrated functions, and therefore seamless connection between the teaching management platform and the common tools is realized; the teaching management platform comprises the following modules: an our work space module, a teaching courseware management module, a teaching practical training module, a system integration module, a teaching test module, a teaching assessment and feedback module, a query and searching module and a privilege management module. Via use of the method, a teacher can be helped to finish teaching management tasks, teaching test tasks, and teaching assessment and feedback tasks. Real learning and practical training environments are simulated via adoption of computer simulation technologies, learning and testing can be realized via an interaction mode, and optimal teaching and learning effects can be achieved.

The invention discloses a digital teaching material management system based on an intelligent classroom teaching system. The digital teaching material management system comprises an intelligent ventilation system, an intelligent door / window system, a high fidelity audio system, an intelligent air-conditioning system, a cloud monitoring camera, a projector, a hoisting microphone, an intelligent lighting system, an intelligent safe-guard system, an electronic classroom brand, an intelligent platform system, a digital teaching material management system and an interactive system. The system disclosed by the invention is scientific and reasonable in process and safe and convenient to use, character, graph, image, sound and resource management platforms are integrated, vivid sound image displayas well as a novel network resource platform and a teaching management platform are adopted, the teaching means and management means are enriched, the teaching resource and management resources are expanded, teacher resource and leadership management informationization can be enriched, the school classroom becomes simple, high-efficiency and intelligent, independent thinking and self-directed learning abilities are developed, the teaching pressure of the teachers is reduced, and the overall teaching level of the classroom is improved.

An embodiment of the invention relates to an online teaching method and device. The method includes: receiving a first student lesson-taking request transmitted by a first student end, wherein the first student lesson-taking request comprises information of a first student; receiving a teacher lesson-giving request transmitted by a teacher end, wherein the teacher lesson-giving request comprises the information of a teacher; determining a second student matched with the information of the first student according to the information of the first student; determining that the first student and the second student are the student members of one class; determining that the teacher matched with the information of the first student is the teacher of the class according to the information of the first student and the information of the teacher. The online teaching method and device has the advantages that the class and the teacher can be automatically distributed for the students according to the conditions of the students, class division efficiency during online teaching can be increased, and teaching efficiency and teaching quality can be increased favorably.

The invention discloses a student state evaluation method and system based on posture recognition. The method comprises the following steps: obtaining classroom videos of all students in a classroom and teaching videos of teachers in real time; intercepting a plurality of video clips from the classroom video at intervals; wherein each video clip is associated with a time label; segmenting single-person video clips of all students in the video clips; for any one single video clip, playing the video clip; recognizing personal information of students in the single video clip by utilizing a face recognition algorithm, recognizing postures of the students in the single video clip based on a posture recognition model, and outputting classroom performance evaluation of each student and time labels corresponding to all postures which do not meet classroom requirements in each student posture time set. The postures of all the video clips of the students are scientifically integrated to evaluatethe classroom performance of the students, the time labels corresponding to the postures which do not meet the classroom requirements of the students are recorded, the students can conveniently review missing knowledge points in a targeted mode after class, and teachers can also improve the teaching mode according to the postures.

The invention provides a homework method of assigning and acquiring exercises intelligently and automatically according to pages, which is used for a cloud education system. The cloud education system comprises student terminals, a teacher terminal, and a cloud server. A homework exercise database is established in a cloud server, and is set according to exercises of exercise books of students. The student terminal is used to edit and input the exercise serial numbers of the exercise book, and is used to push the exercise serial numbers to the various student terminals, and the student terminals are used to receive the exercise serial numbers, and the homework is completed on the exercise books. After the homework is completed, the student terminals are used to shoot the answers of the exercises of the exercise books according to the pages, and the answers are transmitted to the personal homework files of the cloud server, and the answers of the exercises are graded by the system automatically, and scores are fed back to the student terminals and the teacher terminal, and then the teacher terminal is used to correct subjective items, and is used to push the answers and the solution methods of the subjective items to the students. The exercise assignment, the automatic acquisition of the answers according to the pages, and the intelligent exercise division are realized, and therefore the energy of the teachers is saved; and after the students complete the homework, feedbacks are provided quickly, and then the personal homework files are formed, and the learning of the students is completed in a cooperated way.

The invention discloses a work correction system and method, and the system comprises an obtaining module which is used for obtaining a to-be-corrected work and importing the to-be-corrected work into electronic equipment in a format of images; a correction module which is used for correcting the imported work and storing the correction result; and a remark module which is used for the call of the remarks in a remark database for the remarking of the corrected work. The method is implemented in the correction system. The system and method can achieve a purpose of replacing manual correction with electronic correction. A teacher can obtain the experience like conventional manual correction under the condition of reducing the workload. The teacher also can remark the errors in the work timely, and carries out concluding and analyzing. Meanwhile, the correction feedback list generated during correction can provide a tool for arranging and correcting work errors for a student, and enables the arrangement and correction of the errors of the students, so the method and system are convenient and effective.