280results about How to "Improve teaching quality" patented technology

The invention provides an AI intelligent interactive course adjustment method and system based on a large language model, and the method comprises the steps: obtaining original typing input rhythm data, including a keyboard event timestamp sequence, an event type and input contents, of a student in concept interpretation processes with different difficulties; pause time distribution, input speed change and error rate indexes are calculated according to the event timestamp sequence; according to the current concept understanding level of the student, dynamically adjusting the course difficulty gradient and the progress arrangement, if the understanding level of the student is high, increasing the course difficulty and the learning progress, and if the understanding level of the student is low, reducing the course difficulty and enhancing targeted practice and feedback; the typewriting input rhythm characteristics of the students are combined with other learning behavior data, a comprehensive learning effect evaluation model is constructed through multi-modal data fusion, the comprehensive learning effect evaluation model is used for evaluating mastering conditions of the students on different knowledge points, and weak links and dominant fields of the students are identified.

The invention relates to the technical field of college teaching, in particular to an intelligent multi-dimensional college teaching quality improvement and evaluation system, which comprises a data acquisition module, a data processing module, an intelligent analysis module, a strategy recommendation module and an effect evaluation module, and is characterized in that the data acquisition module is used for acquiring original data in a teaching process from multiple dimensions; the data processing module is used for processing the collected original data to form a standardized and structured data set; the intelligent analysis module is used for carrying out deep analysis on the processed data by applying an intelligent algorithm and carrying out multi-dimensional quantitative evaluation on the teaching quality; the strategy recommendation module is used for providing personalized teaching strategy recommendation for teachers based on the analysis and evaluation result in combination with a preset teaching quality improvement model; and the effect evaluation module is used for tracking and evaluating the teaching effect after the teaching strategy is implemented in real time. The system realizes comprehensive, objective and accurate evaluation and improvement of teaching quality of colleges and universities.

The invention relates to the technical field of education informatization, and discloses a digital teaching resource library intelligent management and application method and system. The method comprises the steps of constructing a digital resource library, constructing a resource application big data analysis model to calculate a resource quality index, a popularity index and an update index, performing intelligent resource sorting and elimination based on the indexes, analyzing the correlation between a user retrieval request and resources, and performing intelligent recommendation. According to the method, efficient management and accurate application of teaching resources are realized, the resource utilization rate and the teaching effect are improved, the storage space and the management cost are saved, and data support is provided for education decision making.

The invention discloses a virtual teaching training method and system based on a large language model and a medium, and the method comprises the following steps: determining preset feature parameters of virtual students according to teaching levels and subject contents; constructing a large language model, generating virtual students based on the large language model according to preset feature parameters of the virtual students, and inputting multi-modal teaching information; the virtual students perform model training and learning on the multi-modal teaching information to generate learning state information and feedback information; the virtual teaching expert proposes a suggestion for dynamically adjusting and optimizing the teaching strategy based on the evaluation result; dynamic learning and interactive feedback are carried out by simulating virtual students with different priori knowledge levels and cognitive competence, and meanwhile, real-time evaluation and personalized improvement suggestions are carried out on the teaching process by utilizing the constructed virtual expert system, so that a user is helped to continuously optimize a teaching strategy, and the teaching quality of a specific subject is improved.

The invention relates to the technical field of data processing, and particularly discloses a teaching material content visualization system and method based on data analysis. The knowledge graph is dynamically updated and the learning path is optimized, and reinforcement learning and the knowledge graph are combined, so that the optimal learning path most suitable for the current learning condition of the student can be found out, and the student is helped to reinforce weak knowledge points. Besides, by visually displaying the optimal learning path, the learning interest and visual understanding of the students can be enhanced, and teachers can accurately master the learning progress and weak links of the students by using visual data, so that the teaching content and strategy are further optimized, and the overall teaching quality is improved.

The invention belongs to the technical field of digital teaching, and particularly relates to a digital teaching service method based on a large model. Through cyclic feedback and continuous optimization, the teaching content can be adjusted according to the actual learning effect of the student, each knowledge point can be effectively taught, the overall teaching quality is improved, personalized teaching content and suggestions can be provided according to the learning behavior and the learning effect of each student by using a large model and data analysis, and the teaching efficiency is improved. The learning requirements of different students are met, the teaching duration is optimized according to the mastering condition of each knowledge point and the teaching duration score of the students, so that the students can master knowledge in the most suitable time, the learning efficiency is improved, the blindness and uncertainty in the teaching are reduced by collecting and analyzing a large amount of teaching data, and the learning efficiency is improved. The setting of the feedback period ensures the continuous improvement of the teaching content, enables the teaching process to be continuously optimized, and adapts to the continuously changing learning demands and environments of students.

The invention relates to the technical field of learning management, in particular to a pre-school smart classroom management system based on big data, and the system comprises a classroom behavior analysis module which collects pre-school classroom video stream data, extracts an image sequence, analyzes the image features, obtains the time sequence of the features and image frames through operation, and stores the time sequence; and combining and classifying the feature sequences to judge student behavior tags, and combining the tags and the image frames to generate classroom behavior feature data. According to the invention, the space distribution parameters are generated based on the position points and the activity frequency, through frequency classification and position parameter processing, the popularity distribution of the classroom activity in the space is accurately quantified, the space visualization of the classroom activity is realized, and a teacher can conveniently make a scene decision according to the classroom dynamics. Through comparison of a time sequence and an activity heat map, participation degree distribution is refined, and a teacher obtains student participation condition data with more time period and position details, so that a teaching strategy is adjusted, and personalized teaching is realized.

The invention discloses a teaching practical training system and method based on the Internet of Things, and relates to the technical field of teaching management. According to the teaching practical training system and method based on the Internet of Things, the learning behavior data of the students are monitored in real time through the Internet of Things, the learning behavior characteristics of the students are extracted through clustering analysis, and the learning mode is recognized. And according to the learning mode of the student, behavior modes of other students are matched through a collaborative filtering algorithm, and a learning adaptability index is obtained, so that learning resources and task contents are dynamically adjusted. By comprehensively analyzing the learning mode and the adaptability index of the student, the learning progress and resource allocation of the student are coordinated, and the teaching task arrangement is optimized, so that the teaching efficiency and the learning experience of the student are improved. And based on the learning behavior data and the learning mode of the student, establishing an association relationship among the student, the learning resource and the task content through a graph construction algorithm, generating a knowledge graph between the student and the knowledge point, and realizing visual display of the learning state, progress and path.

The invention relates to the technical field of smart classroom supervision, and particularly discloses a smart classroom remote monitoring method and system, and the method comprises the steps: analyzing the state of a smart classroom remote monitoring communication link, judging whether the state of the smart classroom remote monitoring communication link is qualified or not, analyzing the basic information of a smart classroom, and judging whether the state of the smart classroom remote monitoring communication link is qualified or not; comparing to obtain an intelligent classroom remote monitoring scheme, analyzing a classroom teaching state, judging whether the classroom teaching state is qualified or not, analyzing a classroom audio state, judging whether the classroom audio state is qualified or not, analyzing a classroom student learning behavior state, and judging whether the classroom student learning behavior state is qualified or not; according to the invention, the problem that the traditional teaching mode usually depends on homework and examination after class to evaluate the learning effect of students and subjective judgment of teachers and lacks timely learning state feedback is solved, the instantaneity and effectiveness of classroom teaching are improved, and the improvement of the overall teaching quality is promoted.

The present invention discloses a glass handwriting board, comprising a shooting fill light bar assembly, a handwriting glass assembly, a control box assembly and a shooting rod assembly, wherein the shooting fill light bar assembly is arranged on the front edge of the handwriting glass assembly, the control box assembly is arranged at the middle position of the bottom of the handwriting glass assembly, and the rear side of the control box assembly is connected to the shooting rod assembly. The present invention integrates the shooting rod assembly with the handwriting glass assembly through the control box assembly, so that the space occupied by the device is small; at the same time, by arranging the shooting rod assembly behind the handwriting glass assembly, the shooting rod assembly can shoot the writing content on the handwriting glass assembly, and the teacher in front of the handwriting glass assembly can also be photographed at the same time, which can strengthen the interaction between teachers and students, thereby effectively improving the teaching quality.

The invention discloses a student classroom behavior intelligent analysis and judgment system and method, and relates to the technical field of classroom behavior recognition, and the system comprises a data collection and storage module, a behavior analysis module, a monitoring time control module and an after-class feedback module. Through a target recognition algorithm, a labeling technology and a face recognition technology, generating a bounding box of a student position in each second frame image, recognizing a student identity and recording a coordinate range and a name of the corresponding bounding box; a behavior recognition model is constructed through a labeling technology and a key point technology, and corresponding student behaviors are analyzed when different analysis signals are received; monitoring face features of teachers in a classroom through a face recognition technology to adjust a classroom behavior monitoring period; analyzing the number of times and the total number of abnormal behaviors of each student, and carrying out special marking on a specified student; according to the invention, intelligent behavior identification of different types of students and intelligent adjustment of the monitoring period under different conditions are realized.

The embodiment of the invention discloses a teaching quality evaluation system and method based on big data analysis, and belongs to the technical field of teaching analysis, and the method comprises the steps: obtaining historical scores of students, carrying out the analysis and evaluation, obtaining the rating of the students, carrying out the teaching testing of the students at preset intervals, and obtaining the current scores of the students. The current score of the student is compared with the historical score to obtain score change, the teaching content of the teacher in the current period is subjected to quality analysis and evaluation according to the historical rating and score change of the student to obtain a teaching quality evaluation result, the student subjectively scores and evaluates to obtain a subjective evaluation result, and the subjective evaluation result is subjected to evaluation. And adjusting the teaching quality evaluation result according to the subjective evaluation result to obtain a final evaluation result, according to the embodiment of the invention, an accurate teaching content evaluation result can be obtained through objective score change and subjective evaluation scoring, and meanwhile, a teacher can adjust the teaching content of different periods according to the evaluation results of different periods, so that the teaching quality is improved. The teaching quality is improved.

The embodiment of the invention provides an educational resource data sharing method and system, and the method comprises the steps: distributing a first conference role or a second conference role of a multimedia teaching conference for each conference terminal participating in the conference when the multimedia teaching conference is created, and enabling different conference terminals to be arranged in different classrooms; acquiring educational resource data in real time from the first conference terminal to which the first conference role is allocated; and sharing the educational resource data to a second conference terminal to which the second conference role is allocated, so that the second conference terminal displays the educational resource data. According to the embodiment of the invention, cross-region and cross-school real-time sharing of educational resources is realized, effective utilization and fair distribution of high-quality educational resources are promoted, and balanced development of education and improvement of teaching quality are promoted.

The invention relates to the technical field of medical images, in particular to a nervous system medical image case database construction system based on artificial intelligence, which comprises a nervous system medical image database module, a teaching interactive learning platform module, a user self-test module and a user online examination module. The teaching system truly restores a diagnosis report written in a clinical working environment of a doctor, organically combines book knowledge with clinical practice, can arouse the learning enthusiasm and initiative of imaging medical students and living training users aiming at complex nervous system medical imaging teaching, improves the teaching quality and practical skills, and improves the teaching efficiency. The learning effect is fed back in real time through the computer, rapid fusion of theoretical knowledge and clinical practice is promoted, accurate lesson preparation of teachers is facilitated, a flexible and convenient education mode and an accurate and individualized training mode are achieved, the training process of image resident physicians is accelerated, the teaching efficiency and quality are improved, and the system adapts to a modern teaching mode.

The embodiment of the invention provides a teaching material generation method and device, electronic equipment and a program product, and relates to the technical field of computer teaching. The teaching material generation method comprises the following steps: acquiring a target keyword for generating a teaching material; wherein the target keywords comprise knowledge point keywords, region keywords and audience keywords; the region keywords are used for representing regions to which audiences belong or regions related to knowledge points represented by the knowledge point keywords, and the audience keywords are used for representing age stages of the audiences; determining each candidate scene object based on the target keyword; the determined candidate scene objects are displayed; and in response to a selection operation for the displayed candidate scene object, generating a teaching material which aims at the knowledge point represented by the knowledge point keyword and is related to a target scene object indicated by the selection operation. Therefore, the scheme can improve the interestingness of the teaching material.

The utility model discloses a machining automation practical training device based on an industrial robot, and the structure of the device comprises a table body table top, a feeding module, a machining module, a polishing module, a positioning tray, a free tray, a detection module, a robot unit, and a carrier, and one side of the top wall of the table body table top is provided with the robot unit. A feeding module, a detecting module, a polishing module and a machining module are arranged on the other side of the top wall of the table top of the table body from left to right corresponding to the robot unit, and a positioning tray used for placing a carrier and a free tray used for placing detected are arranged in the middle of the top wall of the table top of the table body. According to the practical training device, operations such as carrying, processing, polishing, assembling, detecting and storing of workpieces are achieved, a production line of an industrial site is miniaturized, various manufacturing devices serve as practical training objects, the practical training device is closer to actual production, and the practical training effect and teaching quality are improved.

A sequential control simulation method and system of a centralized control station simulation system comprises the following steps: establishing a primary wiring diagram and an interval diagram through the simulation system, and collecting data information; establishing an equipment switch disconnecting link association table; associating equipment of the simulation system with a switch and a disconnecting link associated with the equipment, and establishing an index; decomposing the operation state of the equipment according to the association of the equipment, the switch and the disconnecting link to obtain the operation state of the switch; based on a switch operation state, establishing an indexed equipment switch disconnecting link association table, and modeling a scheduling instruction ticket; on the basis of the obtained scheduling instruction ticket model, the simulation system automatically generates an operation instruction ticket according to the initial state and the target state according to the equipment state recorded by the equipment switch disconnecting link association table with the established index; analyzing the operation instruction ticket according to a time sequence to form an event set, and inserting a to-be-executed event list of the simulation system; and the simulation system carries out analysis according to the time sequence and feeds back corresponding states including operation success or operation failure, and one-key sequential control is completed.

The invention relates to a digital teaching system based on a multi-mode intelligent technology. A teaching end displays digital content through screen equipment; the control end provides a digital classroom control capability for teachers or assistant teachers through mobile equipment; the student end realizes real-time interaction between students and the digital classroom through a mobile device configured with a voice device; the server is configured with an intelligent knowledge base, analyzes classroom data based on an intelligent algorithm and a big data analysis technology, generates a learning path and recommendation resources according to student conditions, processes questions with the help of natural languages, and drives the whole teaching to operate intelligently. According to the invention, classroom interaction intellectualization can be realized, teaching quality can be improved, multidisciplinary knowledge coverage and dynamic adaptation can be realized based on an intelligent knowledge base, modular course design and dynamic interaction are optimized, dialogue type and touch type interaction modes are fused, popularization application of code-free teaching design is supported, and teaching experience is improved. And classroom effect optimization driven by real-time data, enhanced teaching feedback and long-term improvement are facilitated.

The invention discloses a feedback teaching evaluation method and system based on learning condition cloud data, and relates to the technical field of teaching quality feedback, and the method comprises the steps: collecting the experiment process record data of students, and evaluating the experiment synchronization degree based on the experiment process record data; collecting student experiment process videos, judging wrong experiment actions, and evaluating experiment accuracy based on the wrong experiment actions; student experiment reports are collected, experiment keywords are extracted, and the experiment understanding degree is evaluated based on the experiment keywords; evaluating the experiment teaching quality based on the experiment synchronization degree, the experiment accuracy degree and the experiment understanding degree; the teaching condition of the teacher is fed back based on the experiment teaching quality; the experiment synchronization degree, accuracy and understanding degree are judged based on the learning condition cloud data, the teaching quality is analyzed in a multi-level mode, the teaching evaluation accuracy can be improved, the teaching condition can be fed back in time, and the teaching quality can be improved for teachers.

The present invention discloses a multi-scale feature fusion classroom behavior detection method and system, which realizes accurate detection of students' classroom behavior based on an improved YOLOv5 detection model, including: 1) constructing a student classroom behavior data set, dividing a training set, a validation set and a test set, and annotating and labeling the divided data; 2) performing data enhancement on the training set; 3) clustering the training set with a priori frames; 4) using the training set to train the improved YOLOv5 detection model; 5) decoding the prediction results obtained in the forward propagation of the improved YOLOv5 detection model; 6) using CIOU's non-maximum suppression to screen the overlapping parts of the prediction frame, retaining the prediction frame with the highest confidence; 7) drawing the obtained prediction frame on the original picture, and marking the prediction category information in the upper left corner area of ​​the prediction frame. The present invention can help teachers better understand students' classroom learning, thereby improving the teaching quality of the classroom, improving students' learning efficiency, and helping to promote the development of smart education.

The invention discloses an atrial septum puncture training model and method, and belongs to the technical field of medical instruments. The puncture needle is connected with the puncture sheath, the puncture needle is connected with the wire, the binocular camera is connected with the control element and the display screen, the 3D heart model comprises a left atrium, a right atrium, a ventricle, a magnetic iron block and an electromagnetic coil, a port of the 3D heart model is composed of a ferromagnet and three red mark points, and the binocular camera and the white light light source are placed above the 3D heart model. A trumpet-shaped opening and an electromagnet catheter are placed at an ideal puncture point of the 3D heart model and used for simulating the force in the puncture process, and the binocular camera and the puncture point interface are connected with the controller and the screen. By simulating the anatomical structure and physiological environment of a real human body, a safe practice platform capable of being repeatedly operated is provided for medical staff.

The invention belongs to the technical field of optical adjustment, and particularly relates to a multimedia interactive teaching machine which is characterized in that replacement modules are symmetrically arranged at the bottom end of a display, a cleaning module is arranged at one side end of the display, a dustproof module is arranged at the other side end of the display, and an adjustment module is arranged between the replacement modules; according to the invention, dual cleaning operations of scraping and wiping are carried out on the display screen through the angle shovel and the anti-static sponge, so that the cleanliness of the display screen can be fully ensured; in the process, the board dust cabin is used for specifically adsorbing the dust overflowing in the scraping process of the corner shovel, and the dust is collected by the dust collecting pipe, so that the dust-free property of the teaching environment is improved; besides, in a non-teaching state, the roller shutter can be pulled out step by step through the adsorbability between the closing strip and the iron plate until the screen of the display is completely covered, so that the screen of the display is protected from the outside in a separated manner, the short circuit phenomenon of the display is fully reduced, and meanwhile, the display definition of the display is improved.

The utility model relates to the technical field of geological structure teaching, and discloses a geological structure demonstration device which comprises a vertical cylinder. A through movable channel is formed in the vertical cylinder, a strip-shaped opening communicating with the movable channel is formed in the side face of the vertical cylinder, a plurality of rock-soil storage parts are arranged in the movable channel, and the distance between any two adjacent rock-soil storage parts can be adjusted. Different types of geological soil layer simulation plates are rotationally connected to the side surfaces of the plurality of rock-soil storage parts respectively, and the plurality of geological soil layer simulation plates abut against each other in pairs; different types of rock and soil are respectively stored in the plurality of rock and soil storage parts, and the different types of rock and soil respectively correspond to the corresponding geological soil layer simulation plates. The utility model provides a geologic structure demonstration device, which solves the problem that the characteristics and the formation process of each rock stratum are inconvenient to explain independently.

The invention discloses an emotion recognition method and system for a teaching assistant robot, and relates to the technical field of emotion recognition, and the method comprises the steps: constraining the frequency of data collection, and summarizing the obtained data to generate a multi-modal emotion data set; labeling the data in the multi-modal emotion data set, and preprocessing the labeled multi-modal emotion data; the multi-modal emotion data collected in real time is used as input, the trained emotion recognition classification model outputs a corresponding recognition result, and a corresponding response strategy is matched for the teaching assistant robot according to the recognition result; and after the teaching assisting robot makes a response, an improvement coefficient is constructed according to feedback data changes in the observation period, and if the improvement coefficient does not exceed an improvement threshold value, a response strategy is optimized and adjusted. Response can be made quickly, and the teaching quality is improved; the response strategy is predicted by constructing a teaching feedback prediction model, and the effectiveness of the response strategy can also be ensured.

The invention belongs to the field of artificial intelligence, and relates to a teaching interaction preemptive answer positioning method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a set of video frame sequences and a corresponding mixed audio file; key frames in the set of the video frame sequences are identified, feature extraction is carried out, short-time Fourier transform is carried out on the mixed audio, and then feature extraction is carried out on the audio; performing multi-modal fusion to generate an audio mask; calculating momentum information of continuous video frames and generating momentum embedding, and performing spectrum embedding processing according to the audio mask; a momentum sensing Transform module is input, and sequence information is generated; performing residual fusion to generate a spectrum mask; and generating a visual sound source localization map. The positioning accuracy is improved by multi-modal fusion, the time sequence sensitivity is enhanced by momentum embedding and frequency spectrum embedding, the feature integration is optimized by residual fusion, the intuition is enhanced by a visual sound source positioning graph, the interactivity and interestingness of learning are enhanced, and the teaching efficiency and quality are improved.

The invention discloses a CTS2 differential intelligent course evaluation method based on a multi-modal large model. According to the invention, a multi-modal large model is introduced, and class evaluation analysis is carried out by fusing various modal data such as texts, audios, images and the like. Compared with a traditional lesson evaluation system which only processes a single mode (such as text or audio), the introduction of the multi-mode data enables the lesson evaluation result to be more comprehensive and accurate. According to the method, classroom teaching activities can be understood from multiple angles, the objectivity and diversity of class evaluation are remarkably improved, various tiny differences in classroom teaching can be accurately recognized and interpreted through the data processing and analysis capability of a multi-modal large model, and differentiated class evaluation results are generated. Experimental data show that the system can significantly improve the accuracy of course evaluation, and particularly in a scientific experiment course, a course evaluation result generated by the system shows high accuracy and consistency in multiple dimensions such as experimental design, teaching methods and student participation.

The utility model discloses a thyroid puncture training device, relates to the puncture needle technical field, the thyroid puncture training device includes: control shell, first connecting lead and regulating switch, the right side of control shell is connected with the first connecting lead, the upper side of first connecting lead is fixedly equipped with regulating switch, and the right side of control shell is connected with the first connecting lead. By arranging a puncture needle, a scale line and a limiting warning plate, an operator can visually observe the length of the part entering the interior of human tissue, the limiting warning plate can play a warning role, the efficiency of learning the puncture technology is improved, the accuracy is improved, and the safety of the operator is improved. A needle placing frame and a protective pad are arranged, puncture needles can be conveniently placed when training is not carried out, the situation that the puncture needles are placed randomly, and reuse of the puncture needles is affected is avoided, the structure is reasonable, functions are complete, operation is convenient, and therefore the teaching quality can be remarkably improved.

The invention discloses a method for dynamically monitoring the psychological health state of college students through side-writing data, and the method comprises the following steps: firstly, carrying out the feature extraction and word vector conversion of the side-writing data and common college student psychological health problems, measuring the similarity of quantized feature words through a clustering method and a cosine distance, and determining a clustering center point; and a K value of clustering is determined. Secondly, according to factors such as social criticality, disease incidence, importance degree and the like, sequencing and weighting the quantized feature words, finally, assigning scores to the extracted features in combination with weights, and setting a quantification standard in a threshold theory;

The invention relates to the technical field of teaching tools, in particular to a visual demonstration teaching aid device for heat storage and heat release processes of a phase change material. The visual demonstration teaching aid device comprises a teaching aid base, and a heating module, a heating circulation module, a phase change heat storage module, a heat release circulation module, a phase change heat release module and a controller which are fixedly mounted on the teaching aid base, the controller is electrically connected with the heating module, the heating circulation module and the heat release circulation module, and the controller monitors the temperature of the heating module through a first temperature sensor and monitors the temperature of the phase change heat storage module through a second temperature sensor. By arranging a set of reasonable teaching aid and controlling the teaching aid through an accurate control technology and a monitoring technology, the temperature change process of heat storage and heat release of the phase change material can be reasonably and vividly displayed, and the basic principle of phase change heat storage can be effectively displayed, so that students can be helped to understand knowledge, and the teaching quality and efficiency can be improved.

The invention provides a teaching method and system for progressive AI ethic scene simulation in different learning segments, and the method comprises the steps: constructing a progressive AI ethic scene library in different learning segments according to different scene grades and corresponding task requirements; configuring a scene simulation platform and an AI ethic guidance module; based on the AI ethical scene library, the scene simulation platform and the AI ethical guidance module, progressive scene simulation and real-time task guidance are executed; in the process of executing scene simulation and real-time task guidance, collecting and analyzing multi-modal teaching data in real time; and based on an analysis result, generating a teaching evaluation and personalized promotion scheme. According to the AI ethical teaching system, the practicability and immersion of ethical teaching are improved, large-scale personalized teaching is realized, a scientific and comprehensive literacy evaluation standard is established, a data-driven teaching optimization closed loop is formed, and the AI ethical teaching system based on branch learning, scene simulation and intelligent guidance is constructed.