53 results about "Lesson study" patented technology

The invention discloses a multimedia network instructional system which comprises an administrator side, a teacher side and N student sides, wherein the administrator side is used for carrying out instructional resource administration and training business administration; the teacher side is used for performing an instructional activity and carrying out a learning supporting activity; the student sides are used for carrying out course learning and communicating with a teacher and other students; the administrator side feeds back information to the teacher side or monitors the work of the teacher; the teacher side provides or correct an instructional document and an instructional resource for the administrator side; the administrator side implements a service for the student sides, and provides a course constructing module for the student sides; the student sides can mutually learn and communicate with the teacher side, and provide a course feeding-back module for the teacher side; the student sides can learn and communicate with one another, and complete a course implementing module. The multimedia network instructional system can support instructional activities of on-line learning of the students, instruction giving of the teacher and examinations, provides personalized services for users at different levels and with different demands, and provides services of learning other languages by a mother language for the users.

The invention provides a remote video education system which comprises a server module, a learning management module, an examination management module, an on-line payment module and a courseware making module, wherein the learning management module is responsible for managing user information and course learning, and the examination management module provides user on-line examination. The remote video education system is characterized by also providing various real-time and non-real-time teaching interaction modules and a remote video client module for realizing remote video learning. By the cooperation among the modules, the system can realize real-time interaction between a teacher and a learner and between two learners, monitor the learning states of learners in real time and improve the learning efficiency of learners through remote video education. The invention provides various real-time and non-real-time on-line communication modes, thereby further reducing the difference between network video remote education and traditional face-to-face education in real-time interactive communication.

A computer-based training (CBT) system using versatile resources to support multiple training scenarios in a multi-user environment. The CBT system includes an authoring program module accessible by a lesson designer to create a number of lessons. The CBT system includes one or more runner program modules accessible by lesson takers for running the lessons created with the authoring program module. The CBT system also includes a relational database accessible by the runner program modules and comprises administrative information and information for retrieving desired resources. The versatile resources reduce the memory storage requirements for a CBT system capable of supporting multiple training scenarios in a multi-user network environment. The CBT system realistically simulates multi-mode communication systems and implements progressive mentoring and voice-based progression methodologies.

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 brackets with separable fasteners for receiving a plurality of Attachable Inlay panel Accessories and/or Brackets. The Attachable Inlay panel Accessories and/or Brackets can be used as building panel kits and Brackets kits that allows an individual to create, make, form, craft, shape, design, build or construct a variety of creative activity designs such as their own activity or board games, art board, night or glow light compartment, and more without limitations to one's imagination. Great for various settings such as; Arts and Crafts, Childhood Educational and Learning Development, Play Based Learning or Activities, Family or Recreational Play, Creative Curriculum learning, Inquiry Based Learning, Connected Learning, Sand Play or Sand Tray Therapy, Early Child Development programs, Recreation Therapy, S.T.E.M. or S.T.E.A.M., Expressive Arts Therapy, assisting commonly approaches to learning in Creative building play, Construction Play, Open-Ended Play, Imaginative Play, Divergent Thinking, Game Based Learning with the optional use of (e.g., Tablets, Smartphones, Android, Mobile technology, Kindle Fire, Nook, iPad or Samsung devices), social skill activities, teddy bear play therapy, learning activities or games, using transitional objects in a therapeutic settings, Teddy Bear Therapy, 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 provides a student learning concentration degree detection method and system, and the method comprises the steps: photographing the course learning process of a student object, and obtaining the historical examination answering data of the student object; and comprehensively analyzing and processing two subjective and objective factors including a learning response action state and ahistorical examination answering state of the student object in a course learning process, so that a learning concentration degree detection result of the student object is determined. According to the method, the learning concentration state of the student object is effectively evaluated from two subjective and objective corresponding key factors, so that the reliability and accuracy of determining the learning concentration degree of the student object are improved, and the workload of learning concentration degree calculation is reduced to the maximum extent.

The invention discloses a push method for online learning new courses, which comprises the following steps: step 1, obtaining course record data of online learning by a user; step 2, classifying the course record data according to the category of the courses, using a fuzzy analytic hierarchy process to obtain a weighting value for reflecting the degree of interest of the user in each category of the courses, and establishing an evaluation model reflecting the degree of interest of the user in each category of the courses according to the weighting value; step 3, obtaining an evaluation resultthrough an evaluation model, determining the category of the courses in which the user is interested according to the evaluation result, and then, pushing the online learning course of the same category as the course category in which the user is interested to the user, wherein the course record data comprise a course category, a course completion degree, and a course learning duration. At the same time, a push terminal for online learning new courses is disclosed. The push method for online learning new courses and the terminal thereof in the invention creatively solve the shortcomings of theexisting online learning method and the terminal, are beneficial to improving the learning efficiency of the user, and can be applied to the field of online learning.

The invention discloses a campus distance education system based on a campus network. The campus distance education system comprises a central server, a user terminal, gateway equipment, a teaching center, a parents APP and an examination center, wherein the user terminal comprises a student terminal, a teacher terminal and a parents terminal, the teaching center comprises an interactive center and a courseware management module, the examination center comprises a data center and a supervision center, and the supervision center comprises an interface detection center and a time length detection enter. Teachers upload course contents and test questions to the examination center and the teaching center through the teacher terminal, students perform course learning and examination through the student terminal, and in the examinations, the examinations of the students can be supervised through the examination center, and the parents can know the performance of the students at any time through the parents APP.

The invention discloses a system and a method which can be achieved through general computer equipment. After a user starts the system on a tablet computer connected to a communication network, a business logic controller of the system provides the user with three possible operation interfaces according to present information of a classroom activity: the first relates to basic information registration related to the classroom activity before a specific class begins, including registration of student basic information, class schedule and three types of commonly used describing statement sets of learning state. The second is operation for recording the student learning state during the class, including three types of attendance, interaction evaluation and behaviour observation, and the third refers to that all the recorded student learning state information or the class learning state statistical information is listed through a multi-selection type list switch mode and is sent to the parents of the students through a short messaging service device.

The invention discloses a learning method and system based on forced learning supervision and intelligent recommendation, and the method comprises the steps that S1, a learning platform issues a learning task to a user, and after the user logs in the learning platform, the user learns a course corresponding to the learning task on the learning platform based on the learning task; S2, in the learning process of the user, the learning platform randomly pops up a question and answer page related to the course, and after the user answers correctly, the course can to be played continuously; S3, after the course is completely learned, the learning platform generates the after-class detection test questions for the user, evaluates an answer result of the user to obtain a detection score, and performs wrong question statistics; and S4, the learning platform intelligently recommends courses to the user in combination with the course learning condition of the user. According to the present invention, the learning process can be effectively supervised, the learning efficiency and the learning effect are improved, and the effectiveness and the accuracy of course pushing can be improved.

The invention provides an online education man-machine interaction method and an online education man-machine interaction system based on artificial intelligence, and relates to the field of online education. The system comprises a user side, a teacher side, a learning assessing unit, an online asking system, a knowledge point classified storage module, an intelligent conversion system, a course learning organizational form, a movement recognition system and a video teaching module, wherein the video teaching module is connected with the user side and the teacher side. With the method and thesystem provided by the invention, the problems that in the existing online education, the interaction between a user and a teacher is far insufficient, the learning progresses of the users are inconsistent, the mastering degrees for knowledge points are different, and the uniform course timetable can not satisfy the personalized demand of audiences are solved.

The invention discloses a piano teaching system including a teacher module, a student module, a piano module, a display control module and a scoring module, the display control module is arranged in the piano module, the teacher module, the student module, and the scoring module are arranged in the display control module, the teacher module is used by teachers to edit lesson plans, edit student information and push lessons; the editing of the lesson plans includes the increasing or deleting of the lesson plans and the increasing or reducing of the class hours; the editing of the student information includes the editing of the classes by the teachers and the editing of the student information of the corresponding class; the pushing of the lessons includes the pushing of the teacher's selection of the lesson plans to the student module; the student module is used for students to take courses and view academic records; the scoring module is used to evaluate the student scores and output the student scores; and the display control module is an intelligent tablet terminal for reception, processing, and display. The piano teaching system can adopt the one-to-more teaching mode, and also can adopt the one-to-one mode, thereby facilitating the teaching.

The present invention relates to the technical field of computer software, especially to a middle school student English new word memory system. The system comprises a central processing unit, a network system, a hardware system, a new word module processor and a new word memory module; the new word memory module is configured to input unit words in middle school English textbooks matching with students' school ages and simulate situations where words appear, students can perform online learning of English new words through computers or smart phones after or prior to completion of English course learning to learn new words in the situations and memory new words according to simulated new word situations, context and sentences so as to effectively improve the students' memory ability on English new words, improve the students' learning interest and memory effect in English new words and improve the students' English learning.

The invention discloses a remote education learning system based on a cloud service, relates to the technical field of remote education, and aims to solve the problem that an existing education platform is limited in the improvement on the practical ability of students. The technical scheme is characterized in that the remote education learning system comprises a login module, a learning module and a management module, wherein the learning module is provided with a database and at least one training course module; the database is arranged in a cloud server; training information of all trainingcourses is stored in the database; and each training course module comprises a course introduction unit, an application unit, an authorization unit, a course learning unit and a contact unit. The remote education learning system has the effects of improving the practical ability of the students in the course teaching process, outputting technicians capable of going on sentry instantly for enterprises, lowering the personnel training investment cost for the enterprises, and shortening the career training period of employees at the same time.

The invention discloses a learning behavior analysis system based on big data. The learning behavior analysis system comprises a system management module, a client, a learning behavior data acquisition module, a learning behavior data mining and analysis module, a data storage module and a personalized learning module, the system management module comprises user management, information management and authority management; the client comprises a student end, a teacher end and a teaching management layer; the learning behavior data acquisition module comprises a course learning unit, an interest group unit and a learning forum unit; the data storage module comprises a student model, a domain knowledge model, a resource description module and a teaching model; and the learning behavior data mining and analysis module comprises mode mining, decision reasoning, capability evaluation, learning diagnosis, teaching strategy and personalized resource recommendation. According to the invention, mining analysis is carried out on the learning sequence when students access corresponding platforms to obtain valuable association rules and group feature sequences, and the association rules and the group feature sequences are used for carrying out self-adaptive recommendation on learning contents, so that personalized teaching is achieved.

The invention discloses an inorganic chemistry course teaching tutoring management method based on big data and artificial intelligence, and the method comprises the steps that a teacher carries out decomposition of course teaching materials and learning requirements, and carries out recording of a live course on time; students register on a teaching system, enter the teaching system for learning, enter classes of courses according to course selection and class grouping results, check and read course tutoring teaching materials of each chapter according to requirements of course tutors, and perform live course learning on time; in the learning process, the students ask questions on site, the tutoring teacher answers the questions, online communication is achieved, the teacher arranges curriculum homework after class, the students complete the curriculum homework, and unit evaluation and scoring are conducted after curriculum chapter learning is finished; through collecting teacher teaching and student learning states, student after-class feedback and examination results, big data analysis is carried out, a good teaching mode, key knowledge content and difficult point knowledge content are summarized, teaching management is facilitated, a teaching scheme is optimized, and teaching quality is improved.

A method and apparatus for the development of educational courses and curriculum using a secure web based server computer platform and software application that aligns course outcomes and course learning objectives with core and specialized course competencies and uniquely develops course summary and compliance reports that may be used for course approval and accreditation of an educational institution. The course development software program provides a course syllabus that includes presentation summaries, textbook, video, test and other materials and assignments for a teacher to easily organize and present daily activities for the classroom.

The invention discloses a student learning habit analysis system based on big data, which relates to the technical field of online teaching and comprises a behavior analysis module, a behavior evaluation module, a course auxiliary module and a teaching analysis module. The behavior analysis module is used for carrying out bad learning behavior identification through a learning behavior detection model; the behavior evaluation module is used for performing learning deviation coefficient analysis on the student according to the identification result and reminding the student to concentrate on learning in time; the teaching analysis module is used for acquiring learning deviation coefficients of all students in real time and performing teaching deviation analysis; if the teaching deviation value is larger than or equal to the teaching threshold value, a teacher is reminded to change the teaching content or the teaching mode of the current teaching course, so that the teaching quality and efficiency are improved; and the course auxiliary module is used for analyzing course preferences of the students according to the course learning records, judging whether the students need to be subjected to extracurricular tutoring or not, providing correct guidance for healthy development of the students, and preventing the students from deviating from the course.

The invention discloses a system for constructing and evaluating a professional group course system, and belongs to the technical field of course education. The system mainly comprises a central server, a user end, an educational administration management end, an external camera module, a professional group course module and a user center module. Login, use learning and real-time updating and management of data information of a professional group course system are completed through the user side and the educational administration management side; The external camera module identifies the faceof the learner and logs in the group course system, so that the accuracy of login information and the rapidity of login of the system are improved; A professional or post is retrieved through the professional group course module, course content, videos, audios, course learning difficulty points, learning methods and matters needing attention related to the professional or post are known, the postrelated to the professional or post is recommended, and effect evaluation after training is carried out; The method has the advantages of convenience in storage, accuracy in matching and convenience in operation.

The invention relates to the technical field of art AI evaluation platforms, and particularly to an art AI evaluation platform and a use method thereof. The system comprises an evaluation system, a network server and a remote interactive teaching system. The evaluation system comprises a curriculum work evaluation module and a singleton work evaluation module. The curriculum work evaluation modulecomprises a curriculum evaluation data receiving unit, a curriculum standard data storage unit, a curriculum comparison unit, a curriculum evaluation analysis unit, a feedback integration unit and anevaluation result notification unit. The platform can be used in the course learning result evaluation of an art interactive teaching platform. Other single-case art work of the user can be evaluatedby independent use. The learning effect of the user can be evaluated in real time and fed back to the student user quickly, meanwhile, the learning result can be fed back to related tutoring teachers, the teachers can make a next step of judgment and operation conveniently, and the related tutoring teachers can remind the student user to correct errors through the remote interactive teaching system according to requirements.