54 results about "Individualized learning" patented technology

A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a training opportunity to understand and solve optimally. The system utilizes an artificial intelligence engine driving individualized and dynamic feedback with synchronized audio, video, graphics and animation used to simulate real-world environment and interactions. Multiple “correct” answers are integrated into the learning system to allow individualized learning experiances in which navigation through the system is at a pace controlled by the learner. Multiple users or students can utilize the simulated environment simultaniously and interactively from mupltiple viewpoints. A dynamic feedback system is utilized theat narrowly tailors feedback and focuses it based on the performance and characteristics of the student to assist the student in reaching a predefined goal.

A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a training opportunity to understand and solve optimally. Mistakes are noted and remedial educational material presented dynamically to build the necessary skills that a user requires for success in the business endeavor. The system utilizes an artificial intelligence engine driving individualized and dynamic feedback with synchronized audio, video, graphics and animation used to simulate real-world environment and interactions. Multiple “correct” answers are integrated into the learning system to allow individualized learning experiences in which navigation through the system is at a pace controlled by the learner. Multiple “roles” are also available for the student to learn from each simulated environment from multiple viewpoints. A robust business model provides support for realistic activities and allows a user to experience real world consequences for their actions and decisions and entails realtime decision-making and synthesis of the educational material. A dynamic feedback system is utilized that narrowly tailors feedback and focuses it based on the performance and characteristics of the student to assist the student in reaching a predefined goal.

A modularized system and method for interactively diagnosing and addressing workplace issues that can lead to employee turnover includes computer-delivered assessment and training modules, each directed to a particular aspect of improving employee retention by focusing on retention competencies. Some modules are intended for employee use; others, for supervisors. The employee sector modules are primarily administered for the purpose of data collection, the resulting data utilized to prescribe assessment and training modules to the supervisor. The supervisor sector modules include an assessment adapted to create an individualized learning plan, wherein questions assess understanding of the topic, and then a job simulation is presented, guiding the user through a simulation applying the concepts from the lesson, followed by a mastery assessment. After passing the mastery assessment, the user can view and print learning activities and key learning points for each program.

A course guiding system based on non-zero start point and knowledge point in network education belongs to the field of computer technologies. The invention includes an initial knowledge domain construction module, an individualized knowledge domain generation module, an individualized learning route generation module, a history learning record module, a knowledge structure level evaluation module, and an individualized learning resource recommendation module. With knowledge point as the core, the invention constructs courses into the corresponding knowledge point tree and graph among knowledge points; learners are examined on knowledge points at each stage; by the analysis of learners' learning data and test of learning effect, the system obtains the learning status of learners at each knowledge point, their learning prediction result and knowledge point structure, recommends the corresponding learning resources and students to learners, and helps learners form the self-organized learning community to enhance the learning quality.

A computer-implemented method for teaching basal math and science may include: testing a student with a computerized test to produce a completed test; scoring the completed test on a computer to produce a score; determining a grade level for the student based on the score; generating a weak areas assessment for the student based on the completed test; and generating a computer-based individualized learning plan based on the determined grade level, a curriculum, and the weak areas assessment. The method may further include providing computerized coursework to a student based on the individualized learning plan.

A computer-based method is provided that determines a “gap” between the skill(s) possessed by a user and those desired to be possessed and then creates a training regimen to fill that gap. The method maps the skill gap with at least one course from a database and automatically creates a set of training interventions that contains the at least one course, the set modifiable by an administrator. Then the user is automatically presented with the training regimen.

A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a business opportunity to understand and solve optimally. Mistakes are noted and remedial educational material presented dynamically to build the necessary skills that a user requires for success in the business endeavor. The system utilizes an artificial intelligence engine driving individualized and dynamic feedback with synchronized video and graphics used to simulate real-world environment and interactions. Multiple “correct” answers are integrated into the learning system to allow individualized learning experiences in which navigation through the system is at a pace controlled by the learner. A robust business model provides support for realistic activities and allows a student to experience real world consequences for their actions and decisions and entails realtime decision-making and synthesis of the educational material optimized for the student's unique personality.

An online learning behavior analysis-based individualized learning recommending method comprises the following steps of 1 collecting the data, and obtaining the learner log data, the student score data and the student character data of an online learning platform; 2 extracting and mining the features; 3 preparing a dataset to train a BP neural network and testing the accuracy of a model; 4 utilizing the trained model to predict the scores of the new learners; 5 issuing the questionnaires to the learners, and collecting the questionnaire data; 6 carrying out the k-means clustering analysis on the questionnaire data; 7 combining the character features of the different learners to recommend the individualized learning methods. The present invention provides a BP neural network prediction method that is higher in prediction precision and can analyze the online learning time regularity of the learners more comprehensively. According to the present invention, the characters of the learners can be analyzed, and the individualized learning methods can be recommended to the learners.

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 relates to the technical field of electronic learning products, in particular to a teaching situation feedback method and a teaching situation feedback device. The teaching situation feedback device comprises an evaluation system, a background judgment and diagnosis system, a recommendation system, a question answering system, a parent information auxiliary system, an intelligent appraisal and analysis system and a teacher checking system. The teaching situation feedback method and the teaching situation feedback device have the advantages that basic teaching situations can be collected during class, more information can be collected after class, teaching information is more three-dimensional, teachers can check knowledge point mastering conditions of students in their classes through the device to perform targeted teaching, and accordingly, the important reference basis is provided for the teachers to improve teaching; the students learn in a targeted manner, and different problems are solved in a targeted manner; the teachers explain teaching content for different students and different problems on the basis of mastering learning conditions of the classes, and accordingly, the individualized learning objective of teaching the students according to their aptitudes is achieved. The teaching situation feedback method and the teaching situation feedback device can be applied to electronic educational equipment such as learning computers and educational tablet personal computers.

The invention specifically relates to an individualized learning-oriented educational resource recommendation method and system. The method comprises the following steps of: S1, acquiring basic characteristic data of learners and establishing a resource interestingness model and a learning style model of the learners according to the basic characteristic data, wherein the basic characteristic data comprises identity information, learning behavior records and educational resource operation records of the learners; S2, establishing a learner characteristic model according to the resource interestingness model and the learning style model; S3, calculating the similarity between different learners or the similarity between different educational resources according to the learner characteristic model; and S4, generating a target learner-oriented educational resource recommendation result according to the similarity between different learners or the similarity between different educational resources. Through the technical scheme provided by the invention, the target learner-oriented education resource individualized recommendation can be realized.

The present invention discloses a language teaching coaching and study synchronization integration system on the basis of mobile interaction and big data analysis. The system provided by the invention comprises a background server, a mobile terminal APP and a web terminal. The background server is configured to store user registering/activation information, teaching resource, user behavior data and user timing and charging information; the mobile terminal APP includes an individualized learning module, an evaluation and feedback module, a voice evaluation module and a management module; a user is able to perform language learning through the individualized learning module; the evaluation and feedback module is configured to record the user learning condition and generate a curve or a chart; the voice evaluation module is configured to receive user pronunciation, and score user pronunciation and give out a rectification suggest by comparing the user pronunciation with a standard pronunciation; the management module is configured to manage system users and system daily maintenance and manage user learning conditions; and the web terminal is connected with the background server, internal users or educational administration personal may inquire, maintain and manage data through the wed terminal or the background server.

A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a training opportunity to understand and solve optimally. Mistakes are noted and remedial educational material presented dynamically to build the necessary skills that a user requires for success in the business endeavor. The system uses an artificial intelligence engine driving individualized and dynamic feedback with synchronized video and graphics used to simulate real-world environment and interactions. Multiple “correct” answers are integrated into the learning system to allow individualized learning experiences in which navigation through the system is at a pace controlled by the learner. A robust business model provides support for realistic activities and allows a user to experience real-world consequences for their actions and decisions and entails realtime decision-making and synthesis of the educational material. The system is architected around a time based model to manage and control the system.

An interactive learning system and method are provided that identify a “gap” between the skill(s) possessed by the individual and those required by an organization and then creates a training regimen to fill that gap. The system and method precisely map the training to the defined required skills by identifying a skill desired to be possessed of a user and accessing a first electronic database that comprises a set of skills currently possessed by the user. Next the desired skill is compared with the possessed set of skills. If the possessed set of skills does not comprise the desired skill, the desired skill is mapped with a training regimen resident in a second electronic database. Then the user is automatically presented with the training regimen. A desired skill level may also be also specified and compared with the skill level currently possessed by the user. If the desired skill level has not yet been achieved, again a mapping is performed and a linked training regimen presented to the user.

A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a training opportunity to understand and solve optimally. Mistakes are noted and remedial educational material presented dynamically to build the necessary skills that a user requires for success in the business endeavor. The difficulty level is automatically adjusted to the student's skill level. The system utilizes an artificial intelligence engine driving individualized and dynamic feedback with synchronized audio, video, graphics and animation used to simulate real-world environment and interactions. Multiple “correct” answers are integrated into the learning system to allow individualized learning experiences in which navigation through the system is at a pace controlled by the learner. A robust business model provides support for realistic activities and allows a user to experience real world consequences for their actions and decisions and entails realtime decision-making and synthesis of the educational material. A dynamic feedback system is utilized that narrowly tailors feedback and focuses it based on the performance and characteristics of the student to assist the student in reaching a predefined goal.

A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a business opportunity to understand and solve optimally. Mistakes are noted and remedial educational material presented dynamically to build the necessary skills that a user requires for success in the business endeavor. The system utilizes an artificial intelligence engine driving individualized and dynamic feedback with synchronized video and graphics used to simulate real-world environment and interactions. Multiple “correct” answers are integrated into the learning system to allow individualized learning experiences in which navigation through the system is at a pace controlled by the learner. A robust business model provides support for realistic activities and allows a user to experience real world consequences for their actions and decisions and entails realtime decision-making and synthesis of the educational material. The system includes tools for analysis, logging and display of regression analysis information for a presentation as it is presented.

A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a training opportunity to understand and solve optimally. Mistakes are noted and remedial educational material presented dynamically to build the necessary skills that a user requires for success in the business endeavor. The system uses an artificial intelligence engine driving individualized and dynamic feedback with synchronized video and graphics used to simulate real-world environment and interactions. Multiple “correct” answers are integrated into the learning system to allow individualized learning experiences in which navigation through the system is at a pace controlled by the learner. A dynamic toolbar that contains information that is context sensitive and utilities that are integrated into the presentation is instantiated from a database of presentation tailored information.

A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a business opportunity to understand and solve optimally. Mistakes are noted and remedial educational material presented dynamically to build the necessary skills that a user requires for success in the business endeavor. The system utilizes an artificial intelligence engine driving individualized and dynamic feedback with synchronized video and graphics used to simulate real-world environment and interactions. Multiple “correct” answers are integrated into the learning system to allow individualized learning experiences in which navigation through the system is at a pace controlled by the learner. A website is linked to the presentation to provide context-sensitive information to assist the learner.

The invention discloses a smart classroom system, which comprises a pre-class unit, a class unit, a after-class unit and an out-of-class unit, wherein the pre-class unit is used for realizing pre-class preparation, class lesson preparation, classroom interaction and preview summarization; the class unit is used for realizing cross-region and cross-school remote real-time teaching live broadcast, cross-region and cross-school remote real-time teaching interaction, cross-region and cross-school cooperative teaching, cross-region and cross-school real-time teaching, cross-region and cross-schoolreal-time teaching competition and cross-region and cross-school Internet-assisted teaching research and classroom teaching evaluation; the after-class unit is used for providing micro-lesson learning, remedial learning, interactive question answering and individualized learning after the class; the out-of-class unit is used for realizing communication with an outside community and interaction between parents and schools; and the pre-class unit, the class unit, the after-class unit and the out-of-class unit are mutually connected. The smart class system disclosed by the invention has the beneficial effects of realizing fabrication collecting and flowing of teaching resources, being conducive to improving the learning interests of students, and increasing the objectiveness and fairness of educational teaching management.

A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a business opportunity to understand and solve optimally. Mistakes are noted and remedial educational material presented dynamically to build the necessary skills that a user requires for success in the business endeavor. Multiple “correct” answers are integrated into the learning system to allow individualized learning experiences in which navigation through the system is at a pace controlled by the learner. A robust business model provides support for realistic activities and allows a user to experience real world consequences for their actions and decisions and entails realtime decision-making and synthesis of the educational material. The system includes tools for analysis, logging and display of regression analysis information for a presentation as it is presented.

A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a business opportunity to understand and solve optimally. Mistakes are noted and remedial educational material presented dynamically to build the necessary skills that a user requires for success in the business endeavor. The system utilizes an artificial intelligence engine driving individualized and dynamic feedback with synchronized video and graphics used to simulate real-world environment and interactions. Multiple “correct” answers are integrated into the learning system to allow individualized learning experiences in which navigation through the system is at a pace controlled by the learner. A robust business model provides support for realistic activities and allows a student to experience real world consequences for their actions and decisions and entails realtime decision-making and synthesis of the educational material optimized to the characteristics of the student.

The invention relates to an individualized closed-loop learning method. The individualized closed-loop learning method comprises the following steps: 1, after finishing a lesson, selecting examination questions matched with knowledge points of the lesson to carry out a classroom test; 2, answering the examination questions by students and transmitting answers to a cloud server; 3, matching the answers of the students with standard answers by the cloud server; 4, selecting different exercise combinations from a system exercise library for each student by the cloud server so as to generate individualized work; 5, transmitting the individualized work to network learning spaces by the cloud server, accessing the network learning spaces by the students and finishing the individualized work, and uploading work results to the cloud server; 6, matching the work results of the students with the standard answers by the cloud server, and then pushing individualized learning videos to the students according to the work conditions of the students; and 7, feeding back work result data of the students, and micro-lesson learning conditions pushed to the students by the system to teachers, so as to finish closed loops of learning the knowledge points of the students.