42results about How to "Improve learning experience" patented technology

The invention belongs to but not limited to the technical field of emotion recognition, and discloses a multi-modal classroom emotion recognition method and system based on modal adaptive learning, and the method comprises the steps: building a multi-modal data collection system, collecting the multi-modal data, such as texts, audios and videos, in a classroom teaching process in real time, and carrying out the real-time collection of the multi-modal data; and preprocessing and feature extraction are carried out on data of different modes. For emotion expression feature differences of different classroom scenes, a multi-modal data fusion method based on adaptive modal scoring (AMS) is provided, and a time sequence modeling and emotion classification model is constructed. The multi-modal fusion and time sequence modeling mechanism simulates the multi-dimensional perception of the teacher on the emotional states of the students in the class, and enhances the interpretability of the emotion recognition system. According to the system, weighted fusion is carried out on data features from texts, audios and videos through fusion of multi-modal data, and complete emotion feature representation is formed.

The invention relates to the technical field of online education, in particular to an intelligent learning scene pushing system based on a spatio-temporal sequence, which comprises a spatio-temporal data acquisition module, a spatio-temporal feature analysis module, a learning scene recommendation module, a feedback collection module, a self-adaptive optimization module and a data security protection module, the spatio-temporal data acquisition module is used for acquiring learning time and spatial data of a user in real time, the spatio-temporal feature analysis module extracts a user learning rule based on data analysis, the learning scene recommendation module pushes learning content suitable for a current environment according to an analysis result, and the adaptive optimization module dynamically adjusts a learning strategy according to user feedback. Personalized learning experience is ensured, and the data security protection module guarantees user privacy and data security through encryption and authority management; according to the invention, accurate and efficient learning pushing can be realized under different learning situations, and the method is suitable for the fields of online education, intelligent learning platforms and the like.

The invention provides an enterprise employee safety knowledge learning method based on AI and an incentive mechanism. The method comprises the following steps: firstly, developing a safety knowledge learning platform by using uniapp and Node.js, and designing a recommendation system through an AI technology training model and a collaborative filtering algorithm to form an intelligent learning platform; the employees input work types after logging in, an AI model generates a safety knowledge learning graph, personalized learning is carried out through a mobile terminal, and the platform recommends related contents according to learning history and interests. Introducing an incentive mechanism, setting incentive measures such as learning milestone rewards and point ranking, and implementing positive and negative incentive according to the learning condition of the employees; the platform formulates a personalized learning plan and notifies through intelligent learning reminding in combination with learning habits of employees and social media use behaviors, and an enterprise establishes a perfect assessment mechanism and supervises the learning progress; the platform supports safe knowledge sharing and communication, a feedback mechanism is formed by using intelligent analysis, and learning results and suggestions are pushed regularly, so that a good continuous learning atmosphere is created.

The invention relates to the technical field of education course playing, in particular to a multimedia education course resource playing method and device, and the method comprises the steps: reading student identity data based on an electronic student identity card, carrying out the identity verification, and obtaining an access authorization certificate; calling multimedia education course resources associated with student courses from the server, and adjusting playing parameters according to current course requirements of students to obtain personalized playing configuration; after the personalized playing configuration is checked before playing and the content is verified to be appropriate, based on the playing ready state, a multimedia playing process is executed, the playing quality is adjusted in real time, and an operation request of a student is responded to obtain an interactive monitoring record; and based on the interaction monitoring record, evaluating the watching behavior and the interaction quality of the student, optimizing the education course recommendation content in the future time period, and obtaining an education course recommendation content updating result. According to the invention, personalized multimedia education course resource recommendation can be provided according to the specific academic state of the student, so that the education course resource allocation is more accurate.

The invention relates to the technical field of brain-computer interfaces, in particular to an emotion perception interaction method and system for a brain-computer interface earphone, and the method comprises the following steps: obtaining an electroencephalogram signal and a voice signal of a user; preprocessing the electroencephalogram signal and the voice signal; electroencephalogram features are extracted from the preprocessed electroencephalogram signals, and voice features are extracted from the preprocessed voice signals; performing multi-modal feature fusion based on the electroencephalogram features and the voice features to obtain fusion features; identifying an emotional state of the user based on the fused feature; adjusting earphone output parameters according to the emotional state; obtaining user feedback; and updating the model based on user feedback; the deep fusion of the electroencephalogram and the voice signal is realized through the innovative DAMCLN algorithm, and the accuracy of emotion recognition is remarkably improved. Test results show that the emotion recognition accuracy of the method reaches 92.5% and is far higher than that of the prior art; intelligent parameter adjustment based on the emotional state of the user is realized, and the score of the user reaches 8.7.

The invention discloses a coal mine fireproof simulation training method based on a virtual reality technology, relates to the technical field of coal mine fireproof simulation training, is used for solving the problem that a virtual scene and student operation are asynchronous due to sensor data delay or misalignment in the training process, and comprises the following steps: collecting action data of a student in real time; comprise posture change, hand movement and position coordinate information. Seamless synchronization of the sensor and the virtual scene is ensured through the time synchronization algorithm and the dynamic compensation model, and the safety and effectiveness of training are improved. In combination with a sliding window, a prediction algorithm and a redundancy detection mechanism, the system has high fault-tolerant capability, and training continuity and stability are guaranteed. The dynamic path planning under the fire spreading trend is realized by adopting the A * algorithm, and the guidance is quickly adjusted and corrected when the trainee deviates from the path, so that the real-time response capability and the immersion of training are improved, and the trainee is helped to quickly make a decision and act in an emergency.

The invention relates to the technical field of online education, and discloses an online teaching system, which comprises an intelligent handwriting recognition module used for capturing a writing track of a user, detecting a stroke sequence, force, an angle and a writing sequence and analyzing writing content, and the intelligent handwriting recognition module is used for recognizing the writing content through an advanced sensor and an algorithm. The stroke sequence error detection module captures a writing track of a user in real time, analyzes multiple items of information such as stroke sequence, force and angle, sets a writing path of the user as a vector, and calculates an included angle between strokes by using a track analysis algorithm, so that stroke sequence errors are accurately recognized, and the accuracy of error detection is improved. According to the method, the writing process can feed back the defects in the writing process in time, the user is helped to continuously improve in the learning process, and then the error detection and recording module not only can automatically recognize errors occurring in the writing process of the user, but also can record the error parts in detail.

The invention discloses a personalized teaching method and system based on multi-dimensional learning style analysis, and relates to the technical field of teaching. The personalized teaching system based on multi-dimensional learning style analysis comprises a learning style analysis module, and the learning style analysis module is connected with a teaching content management module. According to the system, a personalized learning plan can be made according to the learning style and progress of students through a personalized learning path and an intelligent recommendation engine, learning is flexible and efficient, in addition, rich teaching resources such as videos, interactive courses and textbooks in the system enhance the diversity and interestingness of learning, and the learning efficiency is improved. The real-time feedback and multi-dimensional evaluation mechanism ensures continuous support in the learning process and helps students to adjust strategies in time to optimize the learning effect, the system also combines online and offline mixed teaching, provides wider learning choices, enhances interaction and communication opportunities between teachers and students, and improves the learning efficiency. Therefore, the teaching effect and the satisfaction degree of students are effectively improved.

The invention relates to the technical field of education, and discloses a personalized intelligent tutoring system and method. According to the system, personalized intelligent tutoring is realized by constructing a digital resource library and comprehensively analyzing answering conditions of students. According to the technical key points, the method comprises the steps of evaluating test question quality and student learning cognition quality through a student test question answering big data analysis model, and generating a comprehensive analysis result; and through a personalized tutoring decision analysis model, specific reasons of wrong questions of the students are determined based on an analysis result, and corresponding tutoring measures are provided. The system can accurately identify weak links in learning according to double dimensions of test question quality and student learning cognition, formulate a targeted review scheme, and effectively improve the learning effect and review efficiency of students.

The invention relates to the technical field of teaching equipment, and discloses an online teaching auxiliary device for oral language teaching of teachers, which comprises a fixed support column used for the structure and installation of all structures, a fixed support column matched with a fixed disc I for fixing a scissor-type support mechanism I, a fixed support column matched with a fixed disc II for fixing a scissor-type support mechanism II, and a fixed support column matched with a fixed disc II for fixing a scissor-type support mechanism II, the two-way transmission mechanism and the operation motor are located at the top of the fixed supporting column and matched for automatic unfolding of the first shear type supporting mechanism, and the first shear type supporting mechanism, the shear type linkage mechanism and the second shear type supporting mechanism are synchronously unfolded through the linkage column. Students can practice and cope with various situations in a safe environment, so that the adaptive capacity and decision-making skills of the students are improved, the system covers multiple aspects of oral teaching, comprehensive education content is provided from reception, reservation to dispute handling, it is ensured that the students can comprehensively understand and master various aspects of oral teaching, and the teaching efficiency is improved. And visualization and multi-sensory learning are realized.

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 present invention relates to the field of educational resource recommendation technology, specifically to an educational resource recommendation method and system based on artificial intelligence; first, an educational resource engine is constructed, and then a preliminary user portrait is generated by collecting basic user information, and the user portrait is dynamically updated in combination with the user's personalized needs, and then data is interacted with the educational resource engine based on a data reliability transmission method, educational resource data is called, and collaborative filtering and content-based recommendation methods are used to weightedly fuse the recommended content, provide personalized learning resources for users, and generate learning path planning for users. During the user's learning process, the system monitors the user's learning behavior and optimizes the recommendation model in combination with user feedback. The present invention achieves accurate, efficient, adaptable and reliable educational resource recommendation effects through personalized recommendation, intelligent learning path planning, resource matching optimization, data reliability transmission and adaptive optimization.

The invention relates to the technical field of personalized education platforms, in particular to an artificial intelligence-based personalized education platform and method.The artificial intelligence-based personalized education platform comprises a storage module, an information acquisition module, a target generation module, a scheme making module and a display module, and the scheme making module is used for generating an interested knowledge point sequence according to interested knowledge points set by a user and displaying the interested knowledge point sequence; interested knowledge points in the interested knowledge point sequence are divided into a plurality of preset sub-learning points, and an interest value judgment unit is arranged in the scheme making module; the display module is connected with the target generation module, the display module comprises a plurality of small screens, a plurality of preset sub-learning points are displayed through the small screens, the characteristics of each learner can be accurately grasped, and customized learning content and paths are provided; the learning effect can be evaluated in real time, and targeted feedback and guidance can be given in time; the learning progress and content can be dynamically adjusted according to the performance and state of the learner; and humanized learning experience is provided.

The invention discloses an assistant teaching method and system based on an artificial intelligence large model, and the method comprises the steps: collecting the learning behavior data of a student, building a student learning condition model based on the learning behavior data, and carrying out the real-time diagnosis and analysis of a learning state; a knowledge graph covering teaching contents is established, so that the relation and reasoning between concepts can be conveniently searched; a hidden knowledge structure is found by using a graph neural network technology, and the organizability of teaching contents is improved; teaching content and steps are dynamically adjusted according to the learning condition and progress of the student, and personalized learning experience is provided; teaching content suitable for the learning characteristics of the target student is generated for each student; a virtual experiment environment simulating a real situation is constructed, so that students can perform practical operation; teaching strategies are adjusted in real time according to feedback of students, and high learning participation degree is kept; learning condition analysis and improvement suggestions are provided for teachers, and continuous improvement of teaching quality is promoted. The learning effect is improved, the learning experience is enhanced, and the teaching management is optimized.

The application discloses a kind of education resource sequence recommendation method, device and equipment based on three-view structure distillation and storage medium, the method includes: based on student-course interaction log, the learning sequence of time sequence course index is constructed, three types of view hypergraph are constructed according to semantic, path, concept structure multidimensional feature, three-view course representation matrix is generated by structure coding fusion, and the recommended list is output by inputting education resource recommendation model;Education resource recommendation model generates student state vector by the coding of Transformer, and the total course score is obtained by fusing three-view branch score and predicted;The present application predicts the education resource recommendation by three-view collaborative scoring from multiple perspectives, accurately captures course representation, effectively depicts learning path high-order law, improves the accuracy, explainability and generalization ability of education resource recommendation in sparse interaction and cold start scene.

The invention discloses an evaluation method for vision-language model alignment limitation. The evaluation method comprises the following steps: respectively extracting an image and embedding text features by using a text and an image encoder of a pre-training model CLIP; calculating the similarity between the images or the texts based on the cosine similarity, and setting a threshold value to screen data meeting conditions; constructing a reference data set by adopting TT2I and II2T strategies; testing the performance of the vision-language model on Flickr30K and MSCOCO data sets, evaluating by using a recall rate R (at) K index, and analyzing the performance difference of the model on an alignment limit reference and an original data set; according to the method, the AlignVLM method shows the excellent ability in the aspect of detecting vision-language model alignment defects, and verifies the performance of different models and strategies in complex alignment tasks. An effective tool is provided for developing a more robust vision-language model, and the generalization ability of the model is improved.

The invention discloses an electronic circuit experiment teaching method and system based on mixed reality, and relates to the technical field of virtual-real interaction, and the method specifically comprises the steps: obtaining an electronic component, splitting the electronic component, and constructing an electronic component model database; identifying and tracking the physical object, and acquiring identification information and real-time position data of the physical object; obtaining an external input instruction, and analyzing the external input instruction to obtain an operation instruction; calling related data in the electronic component model and / or the theory knowledge base according to the operation instruction and the identification information of the physical object; and displaying the related data, and performing corresponding interactive operation on the related data according to the received gesture data or eye movement data or real-time position data and a preset rule. According to the invention, a real-time interactive learning environment is provided, so that students can understand abstract concepts more intuitively and perform operation practice in a virtual environment, the learning efficiency is improved, and the sense of participation and interest of the students are enhanced.

The present application provides a resource status update method, device and electronic device. The method includes: determining whether a status update request for a target network learning resource is received; if the status update request is not received, obtaining log information corresponding to the target network learning resource, and obtaining and updating the user's processing status for the target network learning resource based on the log information; or if the status update request is not received, determining the user's processing status for the target network learning resource based on the user's interactive data information and preset rules in the process of processing the target network learning resource, and updating the processing status. The present application can avoid the problem that the network resource learning status cannot be updated normally due to the failure of ajax request sending, thereby improving the user's learning experience.

The invention discloses a VR multi-user interaction flexible space system, and relates to the technical field of multi-user VR interaction, teaching course arrangement is obtained from a management manual of a specified campus, the accuracy and practicability of a virtual environment are ensured, and the environment requirement information is set in a VR platform by a worker, so that the user experience is improved. The virtual teaching environment is customized and optimized in a personalized manner, the VR platform accurately optimizes the internal space according to the teaching environment type, the number of people needing to be accommodated in the space and the space layout, the practicability of the environment and the comfort level of students are improved, VR equipment is used for collecting the face information of the students, an exclusive VR image is generated, the immersion and the reality are enhanced, and in the interaction evaluation stage, the interaction evaluation efficiency is improved. Through guidance of the conflict processing module, optimization of resource allocation and interaction experience is facilitated, the conflict processing module evaluates interaction conflicts of students in a VR environment in real time, virtual experiment apparatuses are intelligently allocated according to priority information, and fairness and efficiency of resource allocation are ensured.

A safety training method and device, relating to the technical field of safety training. In this method, the construction position information corresponding to the first user is obtained, and the construction position information is the position information of the first user in the construction project; the historical record information of the first user is obtained; the first safety training content is determined according to the historical record information and the construction position information; the first safety training content is displayed to the first user, so that the first user can learn the first safety training content. The technical solution provided in this application is implemented, by determining the first safety training content according to the construction position information and historical record information of the first user, displaying the first safety training content to the first user, and recommending matching safety training content according to the needs of the first user, so as to solve the problem that the learning effect of construction personnel cannot be evaluated during unified safety training, resulting in a poor learning experience.

The utility model relates to the technical field of atmospheric circulation teaching, and discloses a tester for atmospheric circulation teaching. According to the device, a storage box body is fixedly connected to the lower end of the experiment box frame, a heat preservation pad is fixedly connected to one side of the interior of the storage box body, a drawer is slidably connected to the side, opposite to the storage box body, of the heat preservation pad, and a handle is fixedly connected to one side of the drawer; one end, opposite to the experiment box frame, of the storage box body is fixedly connected with a plurality of footstands. An ice block placing box is additionally arranged for the tester used for atmospheric circulation teaching, and a heat preservation pad is used for guaranteeing the temperature of ice blocks and preventing the ice blocks from being excessively melted to affect the teaching effect. By placing ice cubes, the movement and influence of a cold air mass in atmospheric circulation can be simulated. Students can observe the interaction between a cold air mass and a warm air mass so as to more intuitively understand the influence of air masses with different temperatures on atmospheric circulation.

The invention provides a dialogue service evaluation method and device, computer equipment and a storage medium. The method comprises the steps that dialogue information of multiple candidate dialogue services is acquired, and the dialogue information comprises simulation answer information and service output information; dialogue information of each candidate dialogue service in the multiple candidate dialogue services is input into a service evaluation model to obtain a dialogue score of each candidate dialogue service, and the service evaluation model is obtained based on big language model training; and determining a target dialogue service from the plurality of candidate dialogue services according to the dialogue score of each candidate dialogue service. By means of the method, the target dialogue service can be determined more comprehensively and efficiently, and the effect of the learning experience of the user for language learning through the dialogue service is improved.

The invention provides an information service providing method based on driving learning, a medium and electronic equipment, and the method comprises the steps: obtaining a vehicle-mounted function request, wherein the vehicle-mounted function request indicates at least one of service time, a learning road segment, a vehicle-mounted function and a teaching mode; determining service personnel based on the vehicle-mounted function request; and based on the vehicle-mounted function request and the service personnel, learning service information is generated, and the learning service information is used for establishing a learning channel about the vehicle-mounted function within the service time. According to the invention, various learning modes of the vehicle-mounted function can be flexibly provided for the user, and online and offline teaching is provided for service personnel, so that the time of the user is saved, and the user can efficiently learn and fully utilize the specific vehicle-mounted function.

The invention relates to the field of education, and particularly discloses a problem error analysis method based on cognitive dimension, which comprises the following steps: a) a problem identification stage: identifying a specific problem with an error from a to-be-analyzed problem set through a natural language processing technology and a machine learning algorithm, the problem set covers problems in learning, testing, evaluation and knowledge application scenes, and an average error rate Er (P) in the problem set is calculated; b) an error classification stage: classifying the identified problem errors according to the cognitive dimension; through natural language processing and machine learning technologies, errors can be accurately recognized from a large number of problems, the average error rate is calculated, a solid foundation is provided for subsequent analysis, meanwhile, the errors are classified carefully according to the cognitive dimension, the accuracy and comprehensiveness of classification are ensured in combination with multiple technical means, and the classification accuracy and comprehensiveness are improved. And deep analysis of a cognitive mechanism behind an error is facilitated.

The invention relates to the technical field of Internet of Things teaching, in particular to an experiential 3D Internet of Things teaching system which comprises a 3D modeling and scene construction module, an Internet of Things equipment simulation module, an interactive experience module, a data analysis and visualization module, an education content management module and a privacy protection module. The 3D modeling and scene construction module is used for providing tools and resources and supporting creation and self-definition of vivid 3D models and virtual scenes; the data analysis and visualization module integrates a powerful data analysis tool and a visualization function, and helps students to understand and process data generated by the Internet of Things equipment. According to the invention, highly vivid 3D modeling and scene construction, a comprehensive Internet of Things equipment simulation and programming environment, and deep integrated data analysis and visualization functions are creatively integrated, and an immersive and highly interactive learning experience is provided for students by using advanced technology stacks and algorithms, so that the learning experience of the students is improved. And the practical ability and the data analysis skill of the people in the field of the Internet of Things are effectively improved.

The invention provides a chess teaching intelligent chessboard based on a large model and an interaction method thereof, and relates to the technical field of chess intelligent teaching, the intelligent chessboard is characterized in that multiple rows and columns of chess points are arranged in parallel, each chess point is set as an LED indicating lamp, and each LED indicating lamp is controlled by pressing a trigger circuit; left pins of each row of pressing chess points of the pressing trigger circuit are connected to form a plurality of row lines. The right side pins of each column of pressing chess points are connected to form a plurality of column lines; the pressing trigger circuit is connected with the plurality of control chips; a key switch of the circuit board can be triggered by pressing each chess point; the pressing trigger circuit realizes detection of multi-row and multi-column digital signals in a row and column scanning mode, and identifies the positions of chess pieces placed on chess points of the chessboard; electric signals of the microswitches at the positions of the chess pieces are sent to the microcontroller, the microcontroller converts the electric signals into chess state change data and sends the data to the large model AI for analysis, and teaching interaction of the teaching intelligent chessboard is achieved through the large model.

The invention belongs to the technical field of character and image recognition, and particularly relates to a multimedia teaching system with a character and image recognition function. Comprising a user interface module, an image recognition module, a voice recognition and synthesis module, a database management module, a content management module, a learning analysis module, a network communication module, a security and authority management module and a feedback and evaluation module, the image recognition module is responsible for processing images from a camera or other input equipment and recognizing and extracting characters in the images by using an optical character recognition technology, and the voice recognition and synthesis module recognizes voice input of a user and converts voice into texts. According to the invention, by integrating a plurality of advanced technologies, an omnibearing and highly interactive teaching environment is provided, the teaching efficiency can be significantly improved, the learning experience of students can be enhanced, and teachers can be helped to make data-driven decisions.

The utility model discloses a kind of multi-angle rotating projection devices, it is related to projector technical field, including projector, further include: clamping component, for the projection device is fixed on support surface;Lifting assembly, it is set on the clamping component, for driving the projector to carry out lifting movement;Rotary component, it is set on the lifting assembly, for driving the projector to carry out horizontal direction rotation.The utility model is through setting clamping component, through rotating handle operating screw rod, laborsaving and accurate.Using person can be intuitively controlled the tightness degree of clamping by rotating number, avoid damaging equipment due to excessive force, simultaneously chuck can be rotatably arranged at the end of screw rod, prevent rotating friction piano surface, cause scratch to appear on the surface of piano cover, and by cooperation between L-shaped rod and spring, chuck two sides can be abutted to the side of piano cover, avoid chuck autorotation.

This utility model relates to the field of teaching aids technology and discloses a sound teaching aid, including a main board and an amplitude adjustment plate. An adjustment mechanism is fixedly installed at the center of the upper surface of the main board. Slots are formed at the front and rear ends and near the edges on both sides of the upper surface of the main board. A locking block is fixedly installed at the lower end and one side of the amplitude adjustment plate. The adjustment mechanism includes an adjustment box and a positioning block. Positioning grooves are formed on the upper surface, front and rear ends, and both sides of the adjustment box. Circular magnets are embedded in each of the five positioning grooves. A square magnet is embedded in the lower end of the positioning block. A steel ruler is fixedly installed on the upper end of the positioning block by bolts. In this utility model, the magnetically fixed adjustment mechanism facilitates adjustment of the spatial orientation of the steel ruler, enabling adjustment from vertical to horizontal placement. Combined with the synchronously adjustable amplitude adjustment plate, it helps users observe the changes in the vibration amplitude of the steel ruler at different horizontal angles, thus better understanding the vibration propagation of sound in different directions.