52 results about "Personalized education" patented technology

The present invention is directed to a learning system that enables a user to continually build a personalized store of knowledge. The learning system may utilize a portable PC, for example, a laptop, tablet PC, or handheld device, on which a user develops a personalized education profile that includes documents (e.g., books, articles, homework) and modifications (e.g., notes, links, sketches) to the documents. The modifications are separately stored in a storage medium of the portable PC so they may be separately categorized, searched, and retrieved. Personalized summaries of documents and modifications may be generated based on the categorization of such documents and modifications. The personalized summaries are particularly useful when a user desires to review the subject matter taught by the documents and modifications.

The invention provides an intelligent classroom system, relating to the technical field of school auxiliary equipment. The intelligent classroom system includes an intelligent blackboard, a classroom host, a mobile terminal for teachers, a mobile terminal for students, and a routing device. The intelligent blackboard is connected with the classroom host, the classroom host is connected with the routing device through circuit, the routing device is connected with the mobile terminal for teachers and the mobile terminal for students via downward communication interfaces, and the intelligent blackboard, the mobile terminal for teachers, and the mobile terminal for students are provided with touch control modules and display modules. The intelligent classroom system can rapidly realize the sharing and display of knowledge, enhances the teacher-student interaction in classroom teaching, and arouses students' interest. Moreover, the intelligent classroom system automatically acquires the data of teachers and students during the classroom teaching and supports the analysis of teacher-student customized education data and group education big data.

The invention discloses a personalized early education system. The system comprises a body feeling capturing module, a voice acquisition module, a graph acquisition module, a character content acquisition module, an interactive display screen, an intelligent analysis identification module, a content filtering classification module, a baby hobby talent database, a baby behavior database, a teaching plan content knowledge database, an offline teaching plan content source, a digital library and an online content. Early education experts capture baby behavior (a physical aspect) and thinking (a spiritual aspect) data through a body feeling technology, a voice identification technology, a graph identification technology and a character content understanding technology. Through an intelligent analysis technology, the teaching plan content that the baby needs is interacted with the baby so as to form accurate knowledge transmission. ''Objective personalization'', ''process personalization'', ''result personalization'' and ''premise personalization'' of the personalized education is thoroughly solved. An early education teacher can realize ''four personalization'' work which can not be achieved by human in the past. Preschool children with ages of 0-6 can obtain complete personalized and heuristic education in six years. Personalized potential development is achieved and creative ability of the baby is cultivated maximumly.

The invention relates to an evaluation and problem recommendation system for individualized education, and discloses a data mining module and system. According to the data mining module and system, the ability (pass rate) of a student for solving problems can be accurately predicted. On the basis of prediction on the pass rate of the student for the problems and knowledge points, a recommendation system for recommending problems in an individualized mode is built, and the recommendation system can differentiate the strong level, the medium level and the weak level of the students.

The present invention is directed to methods and systems for producing educational material on a specific topic of interest. More specifically, the invention relates to an automated platform for providing specific financial information, through a graphic user interface, responsive to an end user's query. The invention is operative to generate financial wellness assessments and education plans personalized for individuals. The invention also includes systems and methods for aggregating and analyzing responses of a plurality of associated users to generate financial wellness assessment reports for associations (e.g., employers). Associations using this aggregated and analyzed data are therefore able to design an effective and impactful financial education program for their members.

The invention discloses an education resource recommendation method, device and equipment and a storage medium. The method comprises the steps of obtaining portrait data of a learner and a course to be recommended; according to the portrait data and the course to be recommended, obtaining education resource information matched with the learner; and sending the education resource information to thelearner terminal. According to the method, courses are combed according to fine-grained knowledge points, association relationships among the knowledge points are established, and a knowledge graph is constructed. The education resource information is labeled based on the defined knowledge points, and based on the crowdsourcing mode, an explanation video corresponding to the education resource information is produced. According to the method and the device, by drawing the portraits of the learners, the mastery degree of the learners on the knowledge points, the preference degree of the learners on the videos and the like are known, the personalized education resource information and explanation videos are recommended to the learners based on the portraits of the learners, the personalizedrequirements of different learners can be considered, and the learning efficiency of the learners is improved.

The invention discloses an education cloud computing platform. The education cloud computing platform is characterized in that a user carries out cloud security access through a network, training and examinations are received in an interactive network television mode and an electronic whiteboard mode, automatic evaluation is carried out and related individualized education resources are matched by watching specified contents, accumulating watching time to specific class hours and answering questions correctly, and the education cloud computing platform is also used for examining and approving whether the user is qualified for taking the examinations or not. The education resources are deployed in usable server clusters in the network in a cloud mode. The studied contents and the time data are written in an intelligent electronic key and a backstage cloud database simultaneously. The invention further discloses a cloud class network education training system and a cloud exercise network service system.

The invention discloses a domain knowledge modeling and knowledge level estimation method in an adaptive learning system, and particularly relates to the field of adaptive learning. The problem that class education services in the existing education field are difficult to meet personalized education requirements is solved. The method specifically comprises two aspects of domain knowledge modelingbased on a knowledge graph and knowledge level estimation based on a deep learning technology. The domain knowledge modeling based on the knowledge graph comprises the steps of determining a subject knowledge graph framework; Collecting digital teaching resources, analyzing structural characteristics and language characteristics of texts of the digital teaching resources, and constructing an education corpus used for extracting subject knowledge graphs, wherein the education corpus comprises four corpora of word segmentation and part-of-speech tagging, syntactic analysis, named entities and entity relations; Subject knowledge graph construction. Knowledge level estimation based on a deep learning technology comprises the steps of domain data preprocessing and vectorization, automatic extraction of domain features by adopting a CNN, feature vector dimension reduction, and deep knowledge tracking based on an LSTM model.

The present invention relates to a method of creating databases for data mining in medical applications. In one embodiment, the present invention relates to providing a data-driven objective reimbursement model incorporating performance and quality measures, tied to patient, exam, context, and provider-specific variables. In another embodiment, the present invention creates standardized databases where context, patient, provider, and technology specific variables are used to create an objective quantitative measure of exam complexity, which can be correlated with performance times and outcomes measures for iterative refinement. In another embodiment, through the combined analysis of examination complexity, interpretation accuracy, and interpretation times, specific to each individual radiologist, external pacers are created which can be customized to a radiologist's individual needs and preferences. The derived data is used to identify best practice patterns and end-user performance, which can be used by radiologists for individualized education and training.

A novelty toy body, inflatable body, mascot or costume body, configured for housing a detachable multi-functional housing compartment, the detachable multi-functional housing compartment insert assembly having a general compartment cavity comprising a plurality of separable fasteners for receiving a plurality of Attachable Accessory Templates. The Attachable Accessory Templates being used to for different settings involving such as but not limited to; Global Education Initiatives, Sand Play Therapy, Recreation Therapy, Activity Based Learning using Electronic devices, social skill activities, Teddy Bear Therapy, adult or children counseling, Art Therapy, using transitional objects in a therapeutic setting, behavioral hospitals, Individuals with special needs, Individualized Education Program (IEP), furthermore comprising programs such as, Curriculum Based Programs, Head Start, Preschool Programs, Child Care Programs, After School Programs, Private or Public Schools, Home Schools, Daycares, to help improve one's hand-eye coordination, fine or gross motor skills, pattern recognition, letters, numbers, reading or writing skills.

The invention discloses a computer assisted instruction (CAI) expert system comprising an expert module, a man-machine interface, a student interface, an inference machine, a regular module, a database and a knowledge base, wherein, the expert module chooses questions from the database for students by the regular module, students feed back the result to the expert module on line, and then the expert module diagnoses the results of the students and chooses knowledge from the database to form the knowledge base for students to study by the regular module; the expert module is a teaching assisted system formed by abundant experiences of educational experts to realize that a virtual teacher formed by abundant experiences of experts carries out teaching on one student; according to on-line feedback, the expert module diagnoses the mark level of the student to call suitable study contents, which fully embodies individual education to students; the called study content can be repeatedly adjusted for several times to perform pertinence interactive teaching and instructing so as to improve studying effect and increase studying interest.

The invention provides a customized educational resource recommending method and apparatus. The method comprises the following steps of: (1) determining a current initial recommendation vector of a user according to current initial preference information of the user about educational resources; (2) obtaining a current customized recommendation vector of the user according to a learning record and the current initial recommendation vector of the user; (3) calculating a correlation r between the current initial recommendation vector and the current customized recommendation vector; and (4) if the correlation r is greater than a designated threshold value s, performing filtering according to the current customized recommendation vector to obtain a recommended resource; or if the correlation r is less than or equal to a designated threshold value s, prompting the user to re-select an interest category and returning to step (1). According to the technical scheme, accurate customized educational resources can be recommended to different users, and therefore users can quickly find a content that matches interests of the users.

The invention relates to an intelligent classroom knowledge management platform and an intelligent classroom knowledge management method based on semantic techniques and gamification. The platform comprises a knowledge management platform for results, wherein the knowledge management platform for results is used for integrating and analyzing individual data collected by an individual data collection platform, used for establishing knowledge banks for each student and each teacher, used for forming association of entity data of the knowledge banks, used for establishing knowledge spectrums, and used for establishing a management platform with intelligent data retrieval and analysis service by using data analysis techniques. By using in-class and off-class gamification intelligent equipment, diverse learning modes are provided for students, and thus the learning enthusiasm of the students can be maximized; and student behaviors are subjected to data analysis, individual recommendation and feedback are provided after analysis, and thus individual education is achieved.

A method and system automate data maintenance, transformation, and utilization for an individualized education consulting business. The system is designed to build a customized service plan for each student's unique needs. A College Admission Optimizer is a logistic regression model, based on the admission history of college applications, and a student's personality, individual interests, and current academic performance, and it calculates the chances of admission for each selected school, and provides a strategic opinion. The system and method quantify admission criteria and optimizes student's chance of getting into colleges.

In accordance with the present invention, an interactive education application is provided. The application receives preferences from the user and retrieves media assets, where the application assembles the media assets and other content into a personalized lesson. In addition, the application provides messaging features between the user and other users relating to the personalized lesson.

The invention discloses an intelligent education method and system based on cloud computing. The method comprises the steps of obtaining first basic attribute information of a first user; obtaining first demand information of the first user; inputting the first basic attribute information and the first demand information into a training model, obtaining the training model through training of multiple sets of training data, wherein each set of training data comprises the first basic attribute information, the first demand information and identification information used for identifying course levels; obtaining output information of the training model, and obtaining first class hour information according to the first course grade information; obtaining time planning information of the first user; and when the matching degree of the time planning information of the first user and the first class hour information meets a first preset condition, obtaining a first recommended course. Therefore, personalized education service is provided for the user in combination with user attributes and requirements, so that an expected learning effect is achieved, and the technical effect of improvingthe user experience is achieved.

The invention discloses a training terminal based on cloud service. A teacher records a teaching video and an associated after-class exercise explanation video in advance through a teaching machine terminal device, and uploads the same to a cloud server. When a student encounters a difficulty in learning, voice questioning can be performed through training terminal equipment or corresponding questions can be directly scanned by using the training terminal equipment. The training terminal equipment acquires a corresponding teaching video from the server for the student to watch and learn, pushes the associated after-class exercise explanation videos to the student, allows the student to expand learning and achieves good interactivity, meets the requirements of the students for personalizededucation, realizes personalized communication between the training terminal and the students, and facilitates the students to better perform after-class learning.

The present invention provides a method and system for individualized academic counseling in an educational consulting company. The system is designed to build a customized plan for each of the student's unique needs. Based on his / her personality, individual interests, and current academic performance, it generates an extracurricular activity plan, internship development, essay assistance, diagnostic report, chances of admission analysis, one-on-one tutoring, and premium college application consultation.

The invention discloses an adaptive education system based on artificial intelligence. The system comprises a control center, a teacher end and student ends, and also comprises an evaluation unit which is used for evaluating the learning stages of students, a learning evaluation unit used for evaluating the learning progress conditions of the students, a learning path customization unit used for formulating personalized learning schemes according to different learning progresses of the students and a knowledge storage unit used for storing knowledge covering the whole education knowledge system. The control center is connected with the teacher end, the student ends, the evaluation unit, the learning evaluation unit, the learning path customization unit and the knowledge storage unit separately. The invention further provides an adaptive education method based on the artificial intelligence. According to the present invention, the teaching aid can automatically adapt to the learning conditions of the students and dynamically adjust teaching according to the learning conditions, so that the personalized education taking the students as the centers is really realized, and the customized education idea of the Confucius is truly realized.

The invention relates to an individualized education analysis system and method based on video analysis, belongs to the technical field of intelligent teaching, and particularly relates to an education analysis system and method based on video analysis. The system comprises a video monitoring system, a host server, a central server, first switching equipment, second switching equipment and a client. The individualized education analysis system of the invention is an analysis system by virtue of artificial intelligence video analysis, can realize automatic collection, automatic analysis and automatic transmission of classroom teaching related data, reduce labor cost, provide a decision-making basis for teaching research and teaching management, provide teachers with reference for classroomteaching adjustment and improvement, and provide targeted guidance for students' autonomous learning. At the same time, the system is simple in structure, easy to deploy, and low in cost, the client can use an existing PC or smartphone, and is easy to upgrade and maintain, the upgrade and maintenance cost is low, in general, only software of the central server and the host server need to be upgraded, and the intelligent degree is high.

The invention relates to a personalized customization central kitchen capable of accurately tracing and a management method thereof. A clean area capable of reaching the food processing safety standard is adopted; air in the single-person operation room is not communicated with air in an external automatic processing space; an operator does not need to wear protective clothing or monkey clothing when entering a single-person operation room; when most of the products are cooked, operators only need to prove that the products are healthy people under the strictest food and health quarantine requirements at the moment and then carry out conventional disinfection and sterilization; the stable, safe and clean state except for a single-person operation room is not affected, personalized flexibleoperation of operators can be fully guaranteed, and personalized education live broadcast, feeding and breeding and other work can be conveniently carried out. And all articles entering and exiting the single-person operation room can be subjected to disinfection operation and disinfection time is recorded before entering, the single-person operation room and operators for producing products canbe accurately traced, and accurate tracing to seconds and individuals is realized on the basis of fully ensuring the processing safety.

The invention provides an online and offline mixed education method and system based on occupational ideas of students, electronic equipment and a storage medium. The education method comprises the steps: obtaining a target occupational role and first personalized features of student users; matching a first personalized course system and teacher users corresponding to the student users from a pre-established course module library and a pre-established teacher information library of the professional role according to the target professional role and the first personalized features; and providing online or offline teaching of the corresponding course under the teaching of the corresponding teacher users for the student users according to the first personalized course system. According to the invention, ability and knowledge course teaching corresponding to the occupational ideal of each student user and taught by the matched teacher user are provided for the student user according to the occupational ideal of the student user, and a personalized education scheme is realized.

The invention relates to the technical field of electronic education, and discloses a graph presentation method of a teaching effect. The assessment data of each knowledge unit is processed, graphs corresponding to the knowledge units are marked with different colors according to a processing result, and therefore, the mastering degree of a student on each knowledge unit can be obtained and is reflected in a graph global way. Therefore, a teaching result can be quickly and intuitively displayed to teachers and students, great convenience is brought for arranging teaching activities, the graph presentation method is especially favorable for carrying out individualized education under a mode of big-class education and is convenient for practical popularization and application, and the distribution of education resources can be optimized.

The invention discloses an online operation method and device. An online homework method includes: receiving a request instruction sent by a user through an issuing terminal, wherein the request instruction includes a test question number and a game number, and according to the test question number and game number in the request instruction, obtaining a preset test question and a preset game, associating the preset test questions with the preset game to obtain game assignments, and sending the game assignments to the answering terminal so that students can answer the game assignments through the answering terminal. According to the instructions issued by the terminal, the specified test questions and the game are associated to obtain the game homework, and the game homework is sent to the answering terminal for students to answer. This method can realize personalized education, increase students' learning interest, and improve students' learning efficiency.

The invention discloses an implementation method of a student integral system excitation system. The method comprises the following steps of creating classes and setting the classes; students being added to classes; commenting the students; performing report analysis; performing team message notification. According to the student integral system excitation system implementation method, comprehensive performance of students can be subjected to process omnibearing quantitative assessment, potential of the students is fully stimulated, comprehensive and personalized development of the students ispromoted, a comprehensive quality evaluation report is automatically generated, students, teachers and parents are helped to obtain a real and effective diagnosis report, and the student integral system excitation system implementation method is suitable for popularization and application; and meanwhile, working intensity of education work such as teachers and the like can be reduced.

An embodiment comprises a method associated with a computer system activity comprising one or more tasks, carried out by one or more users. The method comprises the step of furnishing a knowledge database with one or more knowledge teachings, wherein each knowledge teaching corresponds to one of the tasks. The method further comprises implementing a procedure at selected intervals, to determine whether any user in a group of users lacks specified knowledge related to one of the tasks. Responsive to determining that a particular user lacks specified knowledge related to a particular task, a knowledge teaching is presented to the particular user which corresponds to the particular task, and includes at least some of the specified knowledge which the particular user has been determined to lack. Feedback sent from the particular user, in response to receiving the presented knowledge teaching, is then selectively evaluated.

The invention discloses a personalized education management system and method based on data analysis, and a medium. Compared with a conventional personalized education push scheme, the system carries out the evaluation of an interest scheme and the understanding acceptance capability of students, generates a personalized screening scheme, and carries out screening of the personalized screening scheme through an interest screening scheme and a student learning pushing scheme; in this way, content involved in the finally obtained personalized training scheme is more in line with interests, hobbies and understanding acceptability of students, fatigue of long-time learning can be effectively relieved, and self-learning willingness of the students is improved. Meanwhile, a progressive training scheme which does not span the understanding and accepting range of the students also enables the students to accept and understand the training learning content more quickly.

A system and a method for generating individualized academic worksheets are provided. The method includes accessing a database of problems and student data relating to at least one student, including evaluation data associated with practice worksheets that were previously administered to the students. The method further includes selecting problems from the database using the evaluation data for each student and generating an individualized practice worksheet file including the selected problems. Each practice worksheet file includes instructions for printing a presentation of each problem and at least one evaluation area. The method further includes updating the evaluation data, wherein after a printed copy of a practice worksheet file is administered to the student, the evaluation areas of the printed copy are marked with evaluation marks by a human evaluator in accordance with the human evaluator's evaluation, and the updated evaluation data is based on the evaluation marks.