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43 results about "Student engagement" patented technology

Student engagement occurs when "students make a psychological investment in learning. They try hard to learn what school offers. They take pride not simply in earning the formal indicators of success (grades), but in understanding the material and incorporating or internalizing it in their lives." Since the U.S. college dropout rate for first-time-in college degree-seeking students is nearly 50% It is increasingly seen as an indicator of successful classroom instruction, and as a valued outcome of school reform. The phrase was identified in 1996 as "the latest buzzword in education circles." Students are engaged when they are involved in their work, persist despite challenges and obstacles, and take visible delight in accomplishing their work. Student engagement also refers to a "student's willingness, need, desire and compulsion to participate in, and be successful in, the learning process promoting higher level thinking for enduring understanding." Student engagement is also a usefully ambiguous term for the complexity of 'engagement' beyond the fragmented domains of cognition, behaviour, emotion or affect, and in doing so encompass the historically situated individual within their contextual variables (such as personal and familial circumstances) that at every moment influence how engaged an individual (or group) is in their learning.

Intelligent evaluation method for real-time learning and teaching effect feedback

The invention discloses an intelligent evaluation method for real-time learning and teaching effect feedback, and the method comprises the steps: carrying out the preprocessing of collected multi-modal teaching scene data of a target classroom, and obtaining a multi-modal data stream which comprises the aligned target video data, target audio data and a timestamp; pre-training the visual basic model based on the ViT architecture by adopting a plurality of education scene data sets to obtain a first model, carrying out alignment fusion on the first model and a preset variational automatic encoder structure to obtain a preset target model, and carrying out dimension reduction processing on the extracted spatial-temporal features and feature vectors by utilizing the model to obtain target features; and determining a classroom atmosphere index, a student participation index and a teaching interaction effect index based on teaching behavior characteristics, student behavior characteristics and teaching interaction behavior characteristics identified from the target characteristics, and synchronously generating a real-time teaching quality evaluation report. According to the method, the classroom information can be accurately and comprehensively analyzed, and a real-time and objective evaluation result is synchronously generated.
Owner:BEIJING FUTURE GENE EDUCATION TECH CO LTD

Student psychological evaluation system based on AI reinforcement learning optimization

The invention belongs to the field of student psychological health management, and particularly relates to a student psychological evaluation system based on AI reinforcement learning optimization. According to the system, the psychological state of the student is dynamically evaluated through multi-modal data acquisition, deep data processing and reinforcement learning optimization, and the problems of singleness and hysteresis in a traditional psychological evaluation method are solved. The system comprises a data acquisition layer, a data processing layer, a reinforcement learning optimization layer, a gamification evaluation module, a feedback and intervention layer and a user interface layer. The data acquisition layer acquires behavior, physiological and social data in multiple channels; the data processing layer performs cleaning, feature extraction and fusion on the data; the reinforcement learning optimization layer adjusts the psychological evaluation strategy in real time; the gamification evaluation module enhances the student participation degree through a task and reward mechanism; and the feedback and intervention layer provides real-time feedback and personalized intervention suggestions. The psychological evaluation accuracy, participation and intervention effect can be improved, and the method is suitable for psychological health management scenes of schools and related educational institutions.
Owner:JIANGNAN UNIV

Learning to drive via asymmetric self-play

Learning to drive via asymmetric self-play includes executing a scenario that includes a set of actors. A student action in the scenario is determined using a student model for a student actor of the set of actors, and a teacher action in the scenario is determined using a teacher model for a teacher actor of the set of actors. Learning to drive further involves processing a student reward function based on the student action to reduce a student collision likelihood of the student model and processing a teacher reward function based on the teacher action to reduce a teacher collision likelihood of the teacher model and increase the student collision likelihood of the student model. The student model and the teacher model are iteratively updated using the student reward function and the teacher reward function. The student model is saved as a virtual driver of an autonomous system.
Owner:WAABI CANADA INC

Teaching quality evaluation method and device, storage medium and electronic equipment

The invention discloses a teaching quality evaluation method and device, a storage medium and electronic equipment, and relates to the technical field of education, knowledge points with high student participation degree are screened out by using a preset knowledge point screening algorithm, the knowledge points really concerned and participated by students in a classroom can be found out, and the teaching quality evaluation efficiency is improved. And the attraction of teaching contents and the acceptance degree of students are reflected. Evaluation is performed according to the proportion of the teaching feedback knowledge point cluster in the teaching plan text, and the actual teaching effect is compared with the teaching plan, so that the achievement condition of the teaching target can be objectively measured, and the accuracy of teaching quality evaluation is improved.
Owner:浙江海亮科技有限公司

Intelligent psychological health education system and method for realizing home-school interaction and subject fusion based on education robot

The invention discloses an intelligent psychological health education system based on an education robot. The system comprises (1) AI family-school cooperation: an improved YOLOv7 algorithm captures classroom behaviors, dynamic Gaussian blur protects privacy, directionally pushes student participation images containing desensitization IDs, supports AI to generate personalized communication verbal skills, and improves the degree of participation of parents; (2) an interdisciplinary fusion engine: constructing a knowledge graph to associate psychological courses with mathematics, sports and other subjects, predicting an optimal fusion opportunity in combination with educational administration data, and generating a double-teacher collaborative teaching plan; (3) interest and emotion driven daily penetration: analyzing student interest labels based on a latent semantic model (LFM), and triggering personalized family task pushing in combination with multi-modal emotion recognition to realize intelligent penetration of psychological health education in a family scene; and (4) full-link privacy protection: adopting differential privacy, block chain and federated learning technologies to realize'all anonymity 'and'availability and invisibility' of data, and ensuring information security through three-level desensitization and quantum encryption, so that the system meets the requirements of'personal information protection method '.
Owner:张景飞

System and method for providing an interactive virtual classmate to promote student participation in a virtual reality classroom

A virtual learning system is introduced herein that provides a virtual reality classroom environment having a virtual agent. The virtual agent plays the role of an active student and promotes classroom participation through verbal and nonverbal interactions with the teacher and other students. The virtual agent, which is embodied as a 3D virtual avatar in virtual reality, interacts with an actual teacher and actual students with both spoken language and body gestures. The behaviors of the virtual agent avatar help to encourage other students to participate more actively in the virtual classroom environment.
Owner:PURDUE RES FOUND

A webcam and alarm system for online teaching

The present invention discloses a webcam and alarm system for online teaching, specifically in the field of online teaching, which is used to solve the problem of online teaching quality analysis. Through image processing and deep learning technologies, the facial expressions and upper body movements of each student can be completely captured in the teaching video, improving the image processing efficiency and the accuracy of feature recognition, ensuring data integrity, and providing a reliable basis for behavior analysis and engagement assessment. Combining Haar cascade classifier, VGG-Face and SVM classification technologies, it accurately identifies and analyzes the emotions and behaviors of students, optimizes teaching content and methods, and enhances students' engagement and satisfaction. Using clustering algorithms to analyze the student participation time series, identify teaching peaks and troughs, evaluate the teaching effect through the teaching quality index, guide teaching adjustments, enhance the pertinence and effectiveness of curriculum design, improve teaching transparency and adjustability, and better respond to students' needs.
Owner:WUYUEFENG (SHENZHEN) TECHNOLOGY CO LTD

Student classroom participation degree analysis method based on double-flow hypergraph convolutional network

The invention aims to provide a student classroom participation degree analysis method based on a double-flow hypergraph convolutional network. The method is used for solving the problem that an existing student classroom participation degree analysis model does not consider emotion and behavior interaction influences among students in a classroom. The method comprises the following specific steps: collecting image data of students in class; constructing a participation degree model based on the double-flow hypergraph convolutional network, wherein the participation degree model comprises a multi-feature encoder, a multivariate propagation module, a multi-frequency propagation module and a participation degree classifier; extracting multi-dimensional features of the image data through a multi-feature encoder; modeling the infection effect participated by the students through a multivariate propagation module, and capturing multi-frequency information from the extracted features through a multi-frequency propagation module; and the participation degree classifier fuses the outputs input into the multivariate propagation module and the multi-frequency propagation module, and predicts the student participation degree. According to the method, the parallel hypergraph and the graph convolutional network are adopted, so that the accuracy of analysis and prediction is improved.
Owner:SOUTHWEST UNIV

Environmental art design course teaching quality monitoring method based on online data

The invention provides an environmental art design course teaching quality monitoring method based on online data, and relates to the technical field of education, and the method comprises the steps: collecting the teaching data of an environmental art design course in real time through an online teaching platform, including the student participation degree, the homework submission condition, the online test score, the classroom interaction record and the teacher teaching feedback; and according to the teaching data, through clustering analysis and association rule analysis, constructing a teaching quality monitoring model so as to analyze the relationship between the online data and the teaching quality. According to the invention, teaching data are collected and analyzed in real time, a teaching quality monitoring model is constructed, teaching problems are accurately identified, timely feedback is provided to guide teaching improvement, a monitoring scheme is dynamically adjusted to adapt to teaching changes, and teaching quality is guaranteed and continuously improved.
Owner:HUNAN HUGONG ELECTRIC CO LTD +1

Student engagement tracking and analysis system

A computer implemented method includes monitoring, by one or more processors, student interactions with computing devices during a class session to collect student interaction data and obtaining an engagement score representative of a student being on track by interacting with content relevant to a predefined learning objective. A communication is selected to direct the student to interactions to increase the engagement score. Following the communication, student interactions are monitored to determine a post communication engagement score. An effectiveness score of the communication is modified based on a change between the post communication engagement score and the engagement score.
Owner:LENOVO (SINGAPORE) PTE LTD

Second classroom student demand management method

The invention provides a second classroom student demand management method. The second classroom student demand management method comprises the steps of calling a student dynamic demand portrait model to push activity resources during login; collecting a multi-modal interaction behavior sequence of the student in real time, and extracting multi-granularity spatial-temporal characteristics to generate an instant interest snapshot; if an interest evolution signal appears between the snapshot and the long-term interest file, inputting the interest evolution signal into a dynamic demand awareness network for reasoning to obtain a demand evolution vector and an intensity value; selecting aggressive or progressive strategies to update the portrait model; when the resource list is refreshed, the updated model is used for generating a personalized recommendation sequence and pushing the personalized recommendation sequence to the terminal, so that dynamic and accurate recommendation is realized. According to the invention, the pushing accuracy of the second classroom activity resources and the student participation degree can be improved, the cold start problem of newly registered or low-activity users is solved, and the adaptability of the system and the user experience are enhanced.
Owner:YUNNAN VOCATIONAL COLLEGE OF MECHANICAL & ELECTRICAL TECH

Universal Educational Dashboard for Monitoring Student AI Usage and Learning Engagement Analysis

The invention provides a comprehensive system for monitoring and analyzing student engagement with AI tools across various educational platforms. It includes a Teacher Dashboard for real-time analytics on student interactions with AI tools. The system tracks human prompts, text edits, and interaction frequency, generating personalized feedback to ensure genuine learning. Teachers can manage large student enrollments, contact colleagues within the system, and utilize a Grading Assistance Tool that suggests grades based on an algorithm analyzing AI engagement and learning outcomes.
Owner:WRIGHT KRYSTLE MARIE

Intelligent system for managing pre-health experiential learning, professional networking, and credential validation

A computer implemented platform coordinates student participation in clinical shadowing and volunteering. An application server communicates with user devices to authenticate student and professional accounts, display filtered opportunity listings, and record attendance with timestamp and geolocation captured from a student device. The platform generates a session identifier, binds the captured fields to the identifier, and transmits a validation request to a verified professional or organization leader. Upon receiving validation, the system persists a tamper resistant log entry, updates cumulative progress against program specific hour goals, and triggers reminders generated by a requirements engine. Interfaces allow in app messaging for scheduling and confirmation. An export module formats validated histories for direct electronic submission to application portals or for download, enabling end to end discovery, recording, verification, tracking, and export.
Owner:CHANDLER EMILY +2

Intelligent teaching analysis system and method based on big data

The invention provides an intelligent teaching analysis system and method based on big data, and the method comprises the steps: obtaining the real-time physiological monitoring data and behavior monitoring data of a student in a classroom progress process; real-time pattern recognition is carried out on the real-time physiological monitoring data and the behavior monitoring data, and a physiological state index sequence and an action feature vector set are generated; performing multi-modal time sequence correlation analysis on the physiological state index sequence and the action feature vector set to generate a dynamic learning state map; based on the dynamic learning state map, an intelligent teaching analysis result is generated, and the intelligent teaching analysis result comprises a content adjustment instruction and an interaction guide strategy for the current teaching stage. According to the invention, the dynamic adaptability of the classroom teaching strategy and the student participation degree are improved.
Owner:ZHEJIANG XIAOYANG TECH CO LTD

A teaching big data intelligent analysis method

The application provides a teaching big data intelligent analysis method. The teaching big data intelligent analysis method comprises the following steps: obtaining teaching history data based on big data technology; obtaining learning characteristic data of each student based on the teaching history data analysis; classifying the students according to a preset classification rule and the learning characteristic data to obtain a student classification result; obtaining student participation data of online teaching and offline teaching of a target teacher; and performing teaching analysis on the target teacher to determine an online teaching and offline teaching evaluation result of the target teacher. The application analyzes the teaching history data of the teacher, considers the whole situation, analyzes the preference of each student for the online teaching and offline teaching, and combines the participation data of the students in the online teaching and offline teaching of the teacher in the actual teaching process to reasonably analyze the teaching of the teacher, so that intuitive teaching feedback information is provided for the teacher, and the teaching method of the teacher is facilitated to be improved.
Owner:SHANGRAO HEDAXIN TECH CO LTD

Intelligent teaching analysis system and method based on big data

The present application provides an intelligent teaching analysis system and method based on big data, wherein the method includes: obtaining students' real-time physiological monitoring data and behavioral monitoring data during the class; performing instant pattern recognition on the real-time physiological monitoring data and behavioral monitoring data respectively to generate physiological state indicator sequences and action feature vector sets; performing multimodal time series correlation analysis on the physiological state indicator sequences and action feature vector sets to generate dynamic learning state maps; based on the dynamic learning state maps, generating intelligent teaching analysis results, the intelligent teaching analysis results include content adjustment instructions and interactive guidance strategies for the current teaching stage. The present application improves the dynamic adaptability of classroom teaching strategies and student participation.
Owner:ZHEJIANG XIAOYANG TECH CO LTD

Interactive teaching content generation method and system supporting real-time data processing

The invention relates to the technical field of interactive teaching, and discloses an interactive teaching content generation method and system supporting real-time data processing. The method comprises the following steps: acquiring real-time teaching data including student behavior data and teaching content data; performing learning state evaluation analysis on the student behavior data to obtain a learning state evaluation result; comparing the result with a preset state threshold value, and generating a teaching content adjusting signal when the result does not accord with the preset state threshold value; acquiring associated data of the teaching content based on the signal, and performing content reconstruction analysis to obtain reconstructed teaching content; and generating interactive teaching content based on the reconstructed teaching content. According to the method, learning behaviors and teaching content changes of students are captured in real time, the teaching content is adjusted in time in combination with learning state evaluation, the generated interactive teaching content can promote participation of the students, personalized learning requirements are met, and the pertinence and effectiveness of teaching are improved.
Owner:GUANGZHOU PINGYUN INFORMATION TECH CO LTD

High school physics law dynamic teaching system, method, device and medium

The embodiment of the invention discloses a high school physics law dynamic teaching system, method and device and a medium, and the system calls an API interface of Geo Ge bra, and generates a dynamic model according to input physical parameters; a slider, a check box and a gesture operation control are integrated through the interaction control module; physical quantity values and change curves are displayed in real time through a data visualization module, and theoretical formula derivation results are superposed; and a student operation log is recorded through a learning analysis module, and an error analysis report is generated. Through functional reconstruction and educational transformation of GeoGebra, the GeoGebra is converted into an exploration type teaching platform suitable for the cognitive level of senior high school students, the mathematical modeling ability of the GeoGebra is deeply coupled with physics teaching requirements, a dynamic modeling, interactive control and data visualization integrated teaching system is constructed, and the teaching efficiency is improved. The problems of insufficient abstract concept visualization, low student participation degree, weak model construction capability and the like in traditional physics teaching are solved.
Owner:BEIJING UNIV OF CHEM TECH +1

Ideological and political personalized teaching system based on AI intelligent recommendation

The invention discloses an ideological and political personalized teaching system based on AI intelligent recommendation, particularly relates to the field of personalized teaching demonstration, and is used for solving the problem that teaching contents in an existing ideological and political classroom are difficult to give consideration to students of different majors in a large class teaching scene. The system constructs a classroom logic display structure comprising a main teaching demonstration layer and a professional adaptation demonstration layer, generates a case structure tree comprising core demonstration nodes and professional adaptation sub-nodes, and calculates a matching relationship between the professional adaptation sub-nodes and student course system labels by using a graph neural network model. And generating corresponding adaptive content sequences for different professional groups. The system generates a cooperative control instruction set based on a unified teaching time axis, and drives the main speaking demonstration layer and each specialty adaptive demonstration layer to synchronously present case contents in a classroom teaching process, so that multi-specialty differentiation teaching demonstration is realized on the premise of ensuring the consistency of teaching main lines, and the ideological and political classroom teaching effect and the student participation degree are improved.
Owner:FUZHOU GEZHI MIDDLE SCHOOL FUJIAN PROVINCE

Intelligent education management system and method based on artificial intelligence

The invention discloses an intelligent education management system and method based on artificial intelligence, and relates to the technical field of education management, and the method comprises the steps: collecting classroom speech, distinguishing different student speech through employing a voiceprint recognition technology, building a classroom interaction round recognition algorithm, and analyzing the classroom student participation degree Cy; obtaining the answer correctness, the number of times of modification, the answering starting time and the submitting time of each question according to the homework answering record, calculating the total answering time of students and the answering time of single questions, constructing a student homework database, analyzing the difficulty degree # imgabs0 # of the single questions, marking the difficult questions, and storing the difficult questions in the homework database; counting the difficult question proportion, the average answer total duration and the average answer total accuracy of the after-class homework, and analyzing an after-class homework evaluation index Pj; and obtaining a classroom student participation degree Cy and an after-class homework evaluation index Pj, and introducing a time decay effect and a cooperative gain factor to analyze a classroom evaluation index Pz. And teaching evaluation is changed from static result guiding to dynamic process optimization.
Owner:DONGYING HUIXING NETWORK TECHNOLOGY CO LTD

Novel second classroom prediction and early warning optimization method

The invention discloses a novel second classroom prediction and early warning optimization method, which belongs to the technical field of artificial intelligence and machine learning, and comprises the following steps: constructing a three-index system by integrating college basic information, student registration information, behavior data and second classroom activity and growth records; according to the method and the system, student individual and tribe prediction and early warning are realized by using an SVR + CNN-LSTM + Attention model, data-driven dynamic management and intelligent decision making are realized, the technical problems of systematization, quantification and prediction in traditional college second classroom management and real-time evaluation of student participation degree, growth progress and tribe activity quality are solved, data accuracy and timeliness are improved, and the method and the system have good application prospects. According to the method, the privacy compliance is ensured, efficient processing of multi-source heterogeneous data is realized, organization and management standardization and process are realized, and an output module provides a second class report card, credit and growth record early warning, personalized activity recommendation, activity index reports and multi-dimensional data visualization.
Owner:ANHUI UNIVERSITY OF ARCHITECTURE

Intelligent English teaching system for English teaching

The invention relates to the technical field of English teaching, in particular to an intelligent English teaching system for English teaching, which comprises the following modules: an intelligent lesson preparation module, an interactive teaching module, an intelligent evaluation module, a voice training module, a learning resource library module, a learning condition analysis module, a personalized learning module and a home-school communication module. The intelligent lesson preparation module is used for helping teachers to quickly integrate teaching resources and generate personalized teaching plans according to teaching themes and learning conditions; the intelligent English teaching system enriches teaching resources, motivates learning interest, integrates massive teaching resources and covers various forms and themes, teachers can easily obtain and apply to teaching, through the interactive teaching module, various interactive tools such as preemptive answering and group discussion areas are provided, the teachers can conveniently organize classroom interaction and know learning conditions of students in real time, and the teaching efficiency is improved. The classroom atmosphere is activated, the participation degree and enthusiasm of students are improved, and learning condition analysis and personalized learning modules are used.
Owner:周春霞

An ideological and political individualized teaching system based on AI intelligent recommendation

ActiveCN121563736Bachieve synchronizationRealize staggered peak displayData processing applicationsBiological modelsNerve networkGraph neural networks
This invention discloses an AI-based personalized ideological and political education teaching system, specifically in the field of personalized teaching demonstrations, designed to address the problem that existing ideological and political education classrooms, in large-class settings, struggle to cater to students from different majors. The system constructs a logical display structure for the classroom, comprising a main lecturer demonstration layer and a major-specific adaptation demonstration layer. It generates a case structure tree containing core demonstration nodes and major-specific adaptation sub-nodes. Using a graph neural network model, it calculates the matching relationship between major-specific adaptation sub-nodes and student course system tags, generating corresponding adaptation content sequences for different major groups. Based on a unified teaching timeline, the system generates a collaborative control instruction set, driving the main lecturer demonstration layer and each major-specific adaptation demonstration layer to synchronously present case content during classroom teaching. This achieves differentiated teaching demonstrations across multiple majors while ensuring consistency in the main teaching line, thereby improving the effectiveness of ideological and political education classroom teaching and student participation.
Owner:FUZHOU GEZHI MIDDLE SCHOOL FUJIAN PROVINCE

Magdeburg hemisphere experiment teaching aid

ActiveCN223728354UEducational modelsMagdeburg hemispheresMechanical engineering
The utility model discloses a Magdeburg hemisphere experiment teaching aid which comprises a first sealing cavity and a second sealing cavity, a detachable structure is arranged between the first sealing cavity and the second sealing cavity, and a sealing ring is arranged between the first sealing cavity and the second sealing cavity. Steel plates are arranged on the inner sides and the outer sides of the first sealing cavity and the second sealing cavity, screws are arranged on the steel plates on the two sides in a penetrating mode, nuts are arranged on the screws on the outer side faces of the first sealing cavity and the second sealing cavity to fix the steel plates on the inner sides and the outer sides, and pull rings are arranged at the ends of the screws on the outer sides. According to the utility model, the atmospheric pressure experiment can be realized in various modes, the student participation degree is high, the experiment effect is high, and the safety is high.
Owner:CHANGZHOU QUWEI SCIENCE & EDUCATION EQUIPMENT CO LTD

College scientific research process automation and intelligent decision system and method

The invention discloses a college scientific research process automation and intelligent decision-making system and method, and aims to solve the problem of college scientific research management. According to the method, various data such as scientific research achievements of teachers and student participation projects are collected through a multi-channel data interface, and a Bayesian probability model is used for cleaning and standardization processing. Data are stored by means of the block chain in combination with an RSA asymmetric encryption algorithm, and safety is guaranteed. And constructing a knowledge graph by applying a natural language processing technology and a Skip-gram model, and mining a scientific research relationship. And deeply analyzing data through a machine learning algorithm, and identifying project risks and opportunities. And personalized scientific research service recommendation is provided for teachers and students based on user preferences. A scientific research process is automatically generated and monitored, intelligent suggestions are provided for scientific research management decisions according to analysis results, resource allocation is optimized by integrating multiple factors, and intelligent and scientific development of scientific research management of colleges and universities is promoted.
Owner:JIANGXI YIYONG CLOUD DIGITAL TECHNOLOGY CO LTD +1

Student engagement nudging based on content interaction

A computer implemented method includes obtaining, by one or more processors, a learning objective for a class session. The student interactions with computing devices are monitored during the class session to collect student interaction data. The collected student interaction data is analyzed using a machine learning model trained to identify patterns indicative of engagement or disengagement with the learning objective, wherein the machine learning model applies a topic analysis algorithm to content accessed by the students to determine a relevance score relative to the predefined learning objective. An engagement status is determined for each student based on the relevance score and a predetermined engagement threshold. Real-time feedback is generated for an educator based on the engagement status or each student, wherein the feedback includes actionable recommendations for interventions to enhance engagement.
Owner:LENOVO (SINGAPORE) PTE LTD