13 results about "Student education" patented technology

The invention relates to a construction method for an education prediction large model based on AI students, and the method comprises the following steps: 1, constructing a standard model for learners of 0-100 years old, collecting the cognitive behavior data of real learners, and forming a dynamic data set according to the number of days of age as a unit; 2, extracting a 6-18-year-old K12 stage data subset from the dynamic data set, and forming a standard student model by analyzing learning features; step 3, utilizing a large language model to perform inverse derivation on the dynamic data set and the standard student model, and generating a personalized learning path conforming to individual learning rules and cognitive development; and 4, dynamically adjusting a learning path by adopting reinforcement learning and a Monte Carlo tree search algorithm, and performing path prediction in combination with the starting point of the initial state of the student and the terminal point of the model model knowledge base.

The present invention discloses a captive portal system with connection monitoring and on-premises content and applications management system which will let the end user, particularly students, educators, and others in the community to access a range of educational and informational web applications. The system comprises a content server hosting locally cached content, a router connected to the content server which routes the data from the content server to the access point installed on a rapidly deployable tower and distributes the internet and offline content via Wi-FI through an antenna installed on top of the rapid deployable tower.

ARTIFICIAL INTELLIGENCE BASED COMPUTER DEVICE FOR STUDENT EDUCATION PATTERN OBSERVATION

Method for generating an indication of completion of an education or vocational course by a registered student includes directing the student to study multiple segments of the course, and performing a test of each segment to determine comprehension thereof. Testing entails directing the student to place a headset on their head in a position in which a display is readable, performing biometric verification to verify identification of the student as the registered student, presenting test questions on the display and receiving via a user interface, a response to each question, determining passing of the test, and associating passing of the test of each segment with identification of the student and then generating and storing in a database an indication of passing of that segment. A student record in the database is updated to include an indication of course completion after indications of passing of all segments are in the database.

The invention relates to a college student education teaching material aided design method and system based on knowledge sharing, and relates to the technical field of big data analysis, and the method comprises the steps: obtaining a plurality of published teaching materials of a to-be-designed subject; determining a plurality of knowledge points of the to-be-designed subject based on the multiple publication teaching materials of the to-be-designed subject; obtaining shared teaching feedback data of the subject to be designed; according to the shared teaching feedback data of the subject to be designed, constructing a same composition of the plurality of knowledge points; acquiring learning condition data of associated subjects corresponding to the plurality of students; obtaining multi-modal auxiliary learning resources of the plurality of knowledge points; and based on the learning condition data of the associated subjects corresponding to the multiple to-be-learned students, the isomorphic composition of the multiple knowledge points and the multi-modal auxiliary learning resources of the multiple knowledge points, an education textbook design scheme of the subjects is generated, and the method has the advantage of improving the intelligent level of college student education textbook auxiliary design.

The invention belongs to the technical field of student education management systems, and particularly relates to a behavior prediction model construction method based on ideological and political lesson learning, and the method comprises the steps: 1, installing an intelligent sensing device on a student desk, and enabling the intelligent sensing device to obtain a posture signal, an expression signal and a physiological signal of a student; 2, setting distributed edge computing nodes, locally operating a lightweight Transform model, and extracting a posture feature vector, an expression feature vector and a physiological feature vector of a student; 3, aggregating multi-classroom edge node features, and constructing a global behavior analysis model; weights are dynamically distributed according to class features, and federal learning aggregation frequency and model compression ratio are automatically selected; step 4, generating a behavior baseline based on student historical data, and identifying an abnormal behavior deviating from a normal state; and outputting a three-dimensional visualization report. The ideological and political lesson learning behaviors of students can be accurately monitored.

A compulsory portal system with a connected monitoring and local content and application management system that will allow end users, particularly students, educators and others in a community, to access a range of educational and information web applications. The system includes a content server hosting locally cached content, a router connected to the content server that routes data from the content server to an access point mounted on a fast deployment tower and distributes internet and offline content via Wi-FI through an antenna mounted on top of the fast deployment tower.

1. Name of the product in this design: Learning Machine. 2. Purpose of this design: As an interactive listening and reading device for student education. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention relates to the technical field of information control and internet platforms, and discloses a college public course hybrid teaching control method and system, and the method comprises the steps: a user terminal selects a teacher terminal or a student terminal through registration information, distributes different permissions according to the teacher terminal or the student terminal, and selects different modes; sending a student data collection instruction; obtaining students, carrying out statistical induction on the data, and carrying out index management and quality management on the student data after induction; performing student data prediction according to index management and quality management; analyzing a student data prediction result, endowing the student data prediction result with a classification label, and performing uplink processing on student data; performing an adjustment difficulty adjustment test on student data of the target student obtained in the block chain; and course pushing is carried out according to a test result. The system comprises a terminal module, a prediction module and a push module. According to the invention, by classifying the labels, predicting the student learning data and pushing the related data according to the predicted student learning data, the learning ability of the students and the student education management efficiency are improved.

The invention provides a student mental health prediction method and system based on multi-view semi-supervision, and relates to the field of mental health prediction. A positive sample set containing student education feature vectors and psychological health labels and a to-be-predicted unmarked sample set are obtained, the positive sample set and the to-be-predicted unmarked sample set are input into the psychological health prediction model, and a reliable negative sample selection module screens out a reliable negative sample set according to the distance between the positive sample set and the to-be-predicted unmarked sample set; the multi-view cooperative training module comprises classifiers corresponding to multiple education data, and is used for extracting education data and labels in the positive sample set and the reliable negative sample set, training the classifiers, performing psychological health prediction on unmarked sample sets to be predicted, and synthesizing false labels of the classifiers based on a cost-sensitive mechanism to obtain a psychological health prediction result; and obtaining a psychological health prediction result of the to-be-predicted unmarked sample and generating a comment. The prediction performance of the model is improved by introducing a PU learning normal form, combining multi-view student related data and classifier cooperative training and fusing complementary information among different view data.

Data Processing device for student education learning

The utility model discloses a desk and chair for student education relates to educational equipment technical field, this desk and chair for student education, including desktop, the bottom fixedly connected with connecting frame of desktop, the bottom welding of connecting frame has fixed block no. 1, and the outer wall of connecting frame is connected with the clamping plate, two the clamping plate all are located the bottom of desktop, the bottom fixedly connected with telescopic link no. 1 of fixed block no. 1, the bottom of telescopic link no. 1 is bolted and has bottom support foot, the bottom one side of desktop is bolted and has two limit blocks, and the inner wall of two limit blocks all is connected with sliding rod. The utility model discloses a desk and chair for student education, it has the height of student and the distance between desk and chair, can carry out flexible adjustment, satisfy the use demand of different age stage, different height student, when moving, desk and chair can synchronous movement, use more convenient, and improved the stability and security of desk and chair in the process of using.

The invention relates to the technical field of student education management, in particular to a comprehensive student management system and method, and the system comprises a server side, a student side, a basic management module, an exercise health management module and a cross validation module. The server side is used for data integration, analysis processing and instruction issuing; the student terminal supports students to complete identity authentication, academic task interaction, attendance checking and card punching and exercise data acquisition and synchronization through student numbers; the basic management module is used for realizing student academic data recording and analysis, attendance checking whole-process management and campus resource reservation and scheduling; the exercise health management module is used for exercise amount statistics and health degree evaluation; and the cross verification module is used for realizing multi-dimensional consistency verification. According to the invention, cheating behaviors are effectively avoided, data authenticity and management justice are guaranteed, integrated fine management is realized, campus management efficiency is remarkably improved, and reliable technical support is provided for high-quality promotion of quality-oriented education.