37 results about "Learning achievement" patented technology

An automated recruitment system can use a variety of techniques to provide information for assisting in recruitment and selection of candidates for various activities. For example, predetermined parameters indicative of future performance for a given activity can be identified and collected electronically from candidates through a candidate portal. The collected information can be graded according to one or more of the predetermined parameters, or according to parameters derived from the one or more collected parameters, with results stored in a searchable database. The grading can be used to predict future performance of a candidate in a given activity, or more particularly, for a particular role within the activity (e.g., a baseball pitcher). A recruiter can access stored information through a portal by performing a structured search, using filters (e.g., geography, gender, age, academic performance) to identify one or more target candidates for a given position.

The invention relates to an online learning behavior engagement data acquisition and analysis system and method. The system mainly comprises a learning behavior engagement data acquisition module, an online learning behavior analysis and engagement calculation module and a visualized characterization result output module; the learning behavior engagement data acquisition module acquires learning interaction information, learning result information and knowledge construction information of learners and learning resources; and the acquired information is processed and characterized through constructing an algorithm and an analysis model, so that multidimensional analysis results can be outputted in a visualization form. The online learning behavior engagement data acquisition and analysis system and method of the invention can be applied to general learning platforms involving learning interaction activities. With the system and method of the invention adopted, fully natural state acquisition and automatic analysis of learning behavior engagement data are realized; the improvement of deep interaction between the learners and learning content can be benefitted; the learner can know their learning engagement levels at any time, so that they can enhance learning and cognitive engagement in a targeted manner and obtain great learning achievements.

The invention discloses an internet precision education tutoring system based on big data and artificial intelligence. The system comprises a teacher client, a student client, a parent client, an education manager client and a server. The teacher client, the student client, the parent client and the education manager client are connected with the server. School teaching and management are assistedbased on big data analysis and an artificial intelligence technology so that the education burden of teachers, society and education managers in three aspects is reduced. By establishing a digital resource library and careful knowledge graphs, learning conditions of students are accurately collected, and personalized tutoring plans of the students are formulated in an assisted manner. By establishing an interest stimulation module and a personalized evaluation system, the learning achievement and exploration spirit of students are stimulated. According to the invention, a four-in-one system of'school + teacher + student + parent 'is established in combination with the Internet, and the functions of real-time communication, mutual communication and self-promotion are realized.

Methods, system, and software that enables students to create high quality, automatically gradable questions without requiring any manual rating of questions, while at the same time aiding the learning of the students in each of their interactions with the system. The problem of determining the quality of student-submitted questions may be solved by automatically assigning discrimination scores to questions that indicate the extent to which successfully answering a question corresponds to overall learning achievement, e.g., total score on a set of questions. Students may then be rewarded for creating questions with high discrimination scores (as a proxy of high quality of the question) and/or correctly answering questions with high discrimination scores. A question bank of high-quality automatically gradable questions can be created that can be used in the same or future iterations of a course. Both creating the questions and taking the tests are valuable learning experiences for students.

The invention discloses an interactive self-learning system for university English and belongs to the technical field of education and teaching. The system comprises a login module, a user management module is electrically connected with a network firewall and a registration unit in an output mode respectively, a teacher module is electrically connected with a teacher management module, a personal information management section, a student mentoring module, a communication module and a test question management module in an output mode respectively, and a manager module is electrically connected with a streaming media management module, the user management module and a safety management module in an input mode respectively. According to the interactive self-learning system for university English, according to the learning experience and characteristic data of a learner, through analysis, the personalized difference teaching service can be better provided for the learner, and the teaching achievement is improved; meanwhile, by using a testing module, the learning efficiency and learning achievement after the learner learns for a certain stage can be detected in real time, by using the streaming media technology, the learning enthusiasm of the learner is fully mobilized, and the learning efficiency is improved.

The invention provides a business English intelligent system including a client terminal and a server terminal. The client terminal and the server terminal are in electrical signal connection via a data communication transmission module. The server terminal includes a central processor. The central processor is connected with a user management module, a scene picture library, a case task library,a synchronous training library, a knowledge content library, a knowledge extension library, a multi-level real-time case synthesis system, a dictionary query system, a learning achievement analysis system, and a virtual teacher guidance system. The business English intelligent system is a business English skill learning platform which combines multiple senses, multiple cases, and multiple tasks and combines online and offline practical training. Unlimited by time and place, a user can learn in spare time. The business English intelligent system has a wide range of application, simple operationand low cost.

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.

The invention discloses a novel post training assessment system for ability assessment, which relates to the technical field of post training system. The invention comprises a post capability requirement unit, a pre-training capability evaluation unit, a capability promotion course unit, a post-training capability assessment unit, a data storage unit, a data pushing unit and a statistical analysisunit. The data storage unit is respectively connected with a data pushing unit, a post competency requirement unit, a pre-training competency assessment unit and a post-training competency assessmentunit. The invention evaluates the pre-training operation level and the pre-training theoretical knowledge respectively, examines the post-training operation level and the post-training theoretical knowledge, and evaluates the learning achievement of the employee during the training period in a more detailed manner. At the same time, the statistical analysis unit comprehensively analyzes the employee's personal educational background information, work experience information and evaluation scores before and after training, so as to avoid the ability evaluation gap caused by educational background and work experience.

The present invention provides a teaching management system for a talent training index system. The system is characterized in that: based on the Internet and the cloud computing technology, by integrating educational resources, a unified, open and shared school service platform is built, and a result-oriented education concept is carried out; courses are designed according to reverse design principles, and a curriculum system is built with the final learning achievement as both the starting point and the end point; the OBE teaching mode changes from the traditional curriculum orientation to the output orientation, from the teacher-centered form to the student-centered form, and from the quality control to the continuous improvement, so that development of the talent training program is subverted; accurate academic status presentation is brought to the school by using big data analysis, and the academic status presentation can be imported into the teaching platform through the achievement of the school; and generation of the talent development program of the predetermined index system can provide the basis for administrative decision-making, the campus time and spatial dimensions can be expanded, and the teaching efficiency can be improved, and comprehensive teaching-centered informatization can be realized.

The invention discloses a knowledge point system teaching method. The knowledge point system teaching method comprises the following steps: S1, constructing a knowledge point system, namely, aiming atthe learning subjects, the learning content, the learning objectives or the learning stage, starting from the integral knowledge content and the knowledge structure, constructing the complete knowledge point system; S2, constructing a relation graph among the knowledge points, and marking the optimum learning path of one certain knowledge point; S3, establishing the mapping relation between the learning content and the knowledge points; S4, enabling students to learn the knowledge points according to the established mapping relation; and S5, detecting the knowledge content, and checking the learning achievement. With the teaching method provided by the invention, a personalized learning solution is independently and intelligently provided for the students; according to the mastering levelfor the knowledge points of the students, by utilizing the 'intelligent mapping relation between learning materials and knowledge points', a learning solution suitable for the current learning stageof the students is provided for the students, the most suitable learning materials are provided for the students, and thus the learning efficiency is improved.

The invention discloses a online teaching learning and growth management system based on a big data technology, which constructs an online learning environment centered on a student, and records the learning data of the learner on the recording line, forms a learning time, a resource search data to fusion and large data analysis, and forms a multi-dimensional data such as classroom learning data,interactive communication data, classroom real training data, job evaluation data, learning achievement data and resource sharing data, The invention establishes a learning growth model based on big data technology for each online learner, carries out personalized teaching and supervision, and improves the learning efficiency of online learners.

The embodiment of the invention provides a voice evaluating method and a computer storage medium. The voice evaluating method comprises the following steps: according to text data corresponding to to-be-evaluated voice data, generating a to-be-evaluated vector of the to-be-evaluated voice data; according to a preset standard content vector, the to-be-evaluated vector and a similarity calculation model, calculating the similarity between the preset standard content vector and the to-be-evaluated vector, wherein the similarity calculation model is used for calculating the similarity according tothe preset standard content vector and the cosine value of the to-be-evaluated vector, and enabling the calculated similarity to be a numerical value greater than 0; and according to the similarity and a preset voice scoring rule, generating and outputting evaluating result data of the to-be-evaluated voice data. With the voice evaluating method, the learning achievement can be evaluated in expression training courses.

The invention provides a system and a method for students' autonomous learning. By setting a learning module and adopting a video learning, audio learning and text learning mode, the learning mode isdiversified, the learning form is avoided to be single, the learning is more interesting, and the learning enthusiasm and the learning effect of users are improved. By setting up the exercise module,we can consolidate the learning content by video shooting, reading aloud, painting and writing exercises, deepen the learning memory, so as to increase the students' learning enthusiasm and improve the learning efficiency; By setting up a sharing interaction module, the learning achievement can be shared with other students and other students can be encouraged to learn. At the same time, studentscan choose the challenging items in video shooting, reading aloud, painting and writing exercises to challenge, stimulate students' learning desire, realize the competition among students, and encourage them to learn together. The whole device can record students' learning records, improve learning efficiency and stimulate students' learning enthusiasm.

The present invention provides a method for realizing learning based on recreational activities. With the method adopted, a user can learn related knowledge/do related exercises in recreational activities which the user is interested in, so that learning achievements can be improved. The method includes the following steps that: recreational activity information is obtained through a first client,wherein the recreational activity information contains the related information of activities in electronic games; related knowledge or exercises are obtained from a preset database and/or the Internet according to the recreational activity information; and the obtained knowledge or exercises are displayed, so that the user can learn or do the exercises according to the displayed knowledge or exercises. The method of the present invention is applicable to scenes where learning is performed based on electronic games.

The invention relates to a real estate evaluation method based on machine learning, in particular to the following steps: (1) preparing in the early stage: adopting a distributed file system for storing large data, firstly deploying a large data storage system; (2) starting the evaluation process, comparing and analyzing the information between the real estate to be evaluated and the database through the big data analysis and data mining analysis technology to identify the characteristics of the real estate; (3) according to the characteristic system of the immovable property obtained in the step (2), automatically matching the evaluation methods to be used from a plurality of evaluation methods, selecting the evaluation methods, referring to the reference factors of the comparison data, and calculating and giving the final evaluation value according to the calculation formula; at the same time, the appraisal process will be completed after the real estate information and operation experience of the appraisal being stored in the learning achievement database and database. Based on computer machine learning, continuous learning, and accumulating the results of the database information, the reference factors of evaluation calculation are optimized, so that the evaluation results more scientific and objective.

The invention discloses a rotatable bookshelf, which is characterized in that a bearing seat inlaid in the upper center of the base is provided, the upper end of the bearing seat is installed with a main shaft, and the lower end of the bearing seat is connected with a low-speed motor through an auxiliary shaft. The front end of the low-speed motor is provided with a low-speed motor shaft, a longitudinal gear is welded on the low-speed motor shaft, and a transverse gear is welded at the bottom of the auxiliary shaft. The cap is positioned under the fixed cap on the main shaft and at the bottom of the main shaft to install a plurality of support rods, and two clips are uniformly installed on each support rod. Through the above settings, the present invention is easy to operate. You only need to clamp the books you need to read, and then rotate the books through the cooperation of the main shaft and the low-speed motor when reading different books, and you can read them at any time, which improves learning. Efficiency will also improve students' academic performance to a certain extent.

The invention belongs to the technical field of big data, and relates to a formability optimization system and method for a cloud data education and training process. The formability optimization system for the cloud data education and training process comprises a student feedback information acquisition module, a learning intention judgment module, a learning effect judgment module, a learning condition judgment module, an intelligent gateway A, a data processor, a learning score input module, an intelligent gateway B, a database and a machine learning module. Through the mutual communicationbetween the education terminal and the cloud server, the system can quickly reach the optimal state by utilizing the big data technology and machine learning, and the learning states of students aredivided into willingness, conditions and effects, and the hierarchical analysis enables the system evaluation to be more objective. During the course improvement process of the machine learning module, the improved partitioning feature matching algorithm is adopted to match the willingness degrees of the students with the courses, so that the correct matching of feature points can be well achieved, the use value is very high, and the matching precision and the calculation speed are improved.

The invention provides a learning effect obtaining method, a device and an electronic device, which relate to the technical field of education and teaching. The learning effect obtaining method comprises the following steps: emotion recognition is carried out on facial images of students and teachers to obtain subject emotion information, and the analysis result of the learning subject is obtainedaccording to the subject emotion information. Acquiring subject learning process information, and obtaining a learning process analysis result according to the subject learning process information; testing the examination papers of the students, obtaining examination scores, and obtaining an analysis result of learning scores according to the examination scores; according to the analysis result of the learning subject, the analysis result of the learning process and the analysis result of the learning achievement, a comprehensive learning effect is obtained, which solves the technical problemthat the analysis and acquisition process of the existing learning effect in the prior art is too one-sided, and the final learning effect is not accurate enough.

The invention discloses an online intelligent incentive teaching system. The system comprises a client port and a remote server. The remote server comprises an information acquisition module, a modelprocessing module, an effect simulation module, an excitation module, a feedback module and a database module; the information acquisition module reads the client port to obtain learning data of the student user; the model processing module is used for generating a learning state value S, an action factor value A and a value factor value V; the effect simulation module is used for substituting thelearning state value S, the action factor value A and the value factor value V into a pre-stored algorithm to obtain a target score BS and target spent time BT; the excitation module substitutes theBS, BT and learning data into a pre-stored algorithm to obtain an excitation index Ex; and the feedback module calls a feedback material corresponding to the Ex and sends the feedback material to theclient port. By simulating the learning state of the student, the student user is helped to clarify the learning expectation, the learning achievement feeling of the student user is improved, and thelearning incentive effect is optimized.

The present invention discloses a teacher teaching evaluation method based on big data. The method comprises the steps of (a) evaluating teaching of a teacher and establishing a database, (b) allowingthe database to record punching information of the teacher in every workday and record lateness, early leave and delay of the teacher, (c) carrying out statistics of academic performance of studentsin a substitute class where the teacher is located and uploading the academic performance to the database, (d) allowing a patrol teacher to listen to a class of a substitute teacher, grade the substitute teacher and upload score results to the database, (e) comprehensively calculating results recorded in the database to obtain an average score, and (f) logging in the database to enter a teacher number to query the comprehensive result of the teacher. The work situation, teaching situation and substitute education of the teacher are comprehensively evaluated, the average score is calculated, the result of the teacher can be queried in the database, through the evaluation method, the teacher can be effectively assessed in all aspects, and the teacher is supervised to work meticulously and complete teaching tasks well.

The present invention provides an online teaching match-making system applied to a dual-interface learning device. The dual-interface learning device comprises a system platform, teaching data and a learning evaluation database. An external client device is connected with the dual-interface learning device to read the teaching data and perform learning achievement evaluation, and is connected witha cloud server platform through a network transmission interface, the cloud server platform comprises a teacher resource database for teachers to log in, when students require the cloud server platform to support online teaching, the server platform can employ the learning evaluation database to obtain the individual learning achievements of the students and analyze and calculate the learning items to be reinforced of the students, then teachers with related specialties and experience are selected from the teacher resource database are passed back to the students to allow the students to select real-time or reserved online teaching so as to improve the learning efficiency.

The invention relates to a multifunctional school uniform. The multifunctional school uniform comprises a uniform body, light-reflecting safety strips, pockets, pocket flaps, a storage battery, a voice recording-playing module, a power switch, a recording and playing selector, a volume adjuster, a power output USB socket, a headset jack, a circuit board and a solar panel, wherein the solar panel is arranged on the back shoulder portion of the uniform body, the light-reflecting safety strips are arranged on the front and back portions of the uniform body, the storage battery, the voice recording-playing module, the power switch, the recording and playing selector, the volume adjuster, the power output USB socket and the headset jack are assembled on the circuit board which is arranged at the position, corresponding to the inner side of one of the pockets, of the uniform body, and the storage battery is in plug-in mounting connection with the solar panel through a lead. The multifunctional school uniform has the advantages that the multifunctional school uniform is reasonable in structural design, easy to manufacture, convenient and practical, can help students review and preview learned content to improve learning achievements during rest and leisure, and particularly, is capable of guaranteeing safety by warning passing vehicles when the students cross the road at night.

The invention belongs to the technical field of learning score improvement management systems, and particularly relates to a system capable of automatically improving academic achievements based on acloud platform. The system comprises a router, playing hardware, a cloud platform system, a display terminal and an offline education subsystem, wherein the offline education subsystem and the displayterminal are in communication connection with the cloud platform system through the router; the cloud platform system comprises a cloud server, and a background management system, a front-end systemand a database which are installed in the cloud server. The database is used for storing user basic data, purchase data and music playing duration data; and the front-end system provides an access interface for the APP. The system has the advantages of clear logic, simple structure, suitability for students, easiness in popularization and the like.

The present invention provides an attention reminding system for English classes belonging to the technical field of teaching auxiliary equipment, and aims to solve problems of inattention of students in classes and unquantifiable usual results in the prior art. The attention reminding system for English classes includes a motor, a housing, a shaft coupler, a threaded shaft, a tapered roller bearing, a polarization block, a driver and a control unit. The motor is fixed on one end of the housing, the threaded shaft passes through the housing, one end of the threaded shaft is connected with the output end of the motor through the shaft coupler, the other end of the threaded shaft is connected with the polarization block, and the threaded shaft is in fit contact with the housing through the tapered roller bearing. The control unit controls the driver to drive the motor to operate or stop. According to the attention reminding system, an English teacher can remind the inattentive students and quantify reminding times so that the attention of students in English classes is ensured and the English learning achievement is increased. The attention reminding system for English classes provides the basis for usual result scoring in English classes.