The present application relates to the technical field of big data and smart education, and in particular to a system for teaching art courses based on smart cloud technology.
Smart education focuses on improving the quality and efficiency of education and teaching by innovative educational models and means in addition to modern information technology in the field of education (educational management, educational teaching and educational interaction), as well as comprehensively and deeply exploiting new technologies such as Internet, Internet of Things, cloud computing and big data etc., so as to establish a digital, internet-based, intelligent and multimedial modern educational system.
A cloud service supporting platform is required to support large-scale applications in the internet environment and to continuously expand education service application software, so as to support the large number of users and high utilizing frequency of the integrated application solutions for smart education; the cloud service supporting platform is expected to provide an elastic deployment environment for the upper-layer cloud-based applications, and to support services such as global data integration and consolidation, unified identity management and unified authentication of users, virtual community-based interaction and collaboration environment support, large-scale content management and services, interface services and management support for upper-layer applications, and operation and maintenance support such as operation monitoring and resource pool management of the cloud service platform.
Digital teaching resources facilitate students to better understand the content and therefore improve the effectiveness of teaching; yet, it is increasingly challenging for educational users to find matching or suitable courseware despite the more accessible digital teaching resources related to online teaching.
In view of solving the above technical problems, the present application provides a system for teaching art courses based on smart cloud technology, and the developed system promotes classroom teacher-student interaction, improves classroom interest, and facilitates analysis and evaluation of students' learning performance, effectively improving students' learning enthusiasm and learning effectiveness.
In order to achieve the above technical objectives, the present application provides a system for teaching art courses based on smart cloud technology, including:
Optionally, the system for teaching art courses based on smart cloud technology also includes:
Optionally, the system for teaching art courses based on smart cloud technology also includes:
Optionally, the electronic course designing function is designed to obtain and collate art course resources and then derive art courses through the resource management subsystem;
Optionally, the intelligent scheduling function is used to generate a course schedule based on course selection of student users, learning situation and teaching situation of teacher users and teacher rating, in which, based on a percentage of student users' learning situation in a total number of student users, a course selection authority is automatically generated through the background management subsystem, and the course selection authority is used to indicate the authority of student users to select courses, and student users with a percentage of 10 percent (%) or less of learning situation are entitled to directly select teacher users.
Optionally, the smart learning subsystem generates learning permissions according to the learning situation, and the learning permissions are used to indicate the learning permissions of the art course, where the learning situation includes learning grade and learning level, the learning level is used to obtain a primary permission of the art course corresponding to the learning level, the learning grade is used to obtain a secondary permission corresponding to the primary permission, and the secondary permission is used to indicate a course level permission of learning the art course.
The learning assistant function is used to provide corresponding learning materials according to the course level permission.
Optionally, the resource management subsystem is used for obtaining course materials through the course resource upload function;
Optionally, the background management subsystem sends questionnaires of art courses and teacher users corresponding to the art courses to student users through the questionnaire management function, then adjusts the art courses according to feedback of the questionnaires, and generates ratings against teacher users as well as learning situation of student users, in which the ratings against teacher users are generated according to the learning permissions of student users and a number of student users participating in the questionnaires, and the ratings are input into the campus management subsystem as performance appraisals used to generate performance salaries for teacher users through the salary management function.
The present application discloses the following technical effects:
In order to more clearly illustrate the technical schemes in the embodiments of the present application or in the prior art, the following drawings necessary for the embodiments will be briefly described, and it is obvious that the drawings in the following description are only some embodiments of the present application, other drawings may be obtained according to these drawings without any creative labor for a person of ordinary skill in the art.
For clarity of the objectives, technical schemes and advantages of the embodiments of the present application, the technical schemes in the embodiments of the present application will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present application.
As shown in
The smart learning subsystem further includes an attendance function, which is used to obtain an attendance information of student users online, and transmit the attendance information to the teaching management subsystem to generate the learning situation, and the attendance function is turned on when a relative position of the smart learning subsystem against the teaching management subsystem is a preset area.
The smart learning subsystem provided by the present application is used for issuing assignment for student users through the assignment function, including individual assignment and collective assignment, where the collective assignment is the assignment required to be completed by several student users together; and the smart learning subsystem generates the learning situation of each student user and the rating of the teacher user according to the average of the collective results of several collective work.
According to the present application, each subsystem in the system for teaching art courses based on smart cloud technology may be realized by ways of different software, for instance, the smart learning subsystem in the system is realized on mobile terminals in the form of application (APP), which is convenient for student users to learn at anytime and anywhere; and the teaching management subsystem is set up in different areas to enable a mobile open function.
The system provided by the present application has strict restrictions on user rights; for example, the teaching management subsystem may only be logged in by teacher users, and the present application adopts face recognition+cloud technology so as to ensure the security of teacher users. The system covers the whole campus network and has not only local area network function but also internet function; it realizes the learning track monitoring of student users through blockchain technology, which provides favorable technical support for student users' self-evaluation; in addition, it provides comprehensive evaluation of student users by big data technology, which provides data reference for employers when student users graduate.
The system of the present application utilizes an online whiteboard+shared classroom technology to optimize the utilization of teacher resources and provide an independent learning platform for students through online teaching. The present application, for the first time, introduces a collective assignment function for the art course, which helps student users experience the working process of collective collaboration by sharing the assignment among each student, providing technical ideas for collaborative design, and, in the collective role, the work of multiple student users may be set up in a certain link for comparison, making it convenient for student users to communicate and learn from each other.
The system provided by the present application provides a comprehensive service platform that integrates “technology, education and public welfare” for smart education. The platform serves teacher users, student users, parents and administrators, providing one-stop solutions for “teaching, learning, management and connection”, and is committed to creating a basic education ecosystem of “resources+platform+services” so as to develop education to be modernized, intelligent and open.
This application claims priority to PCT/CN2022/079512, filed on Mar. 7, 2022, the contents of which are hereby incorporated by reference.
Number | Date | Country | |
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Parent | PCT/CN2022/079512 | Mar 2022 | US |
Child | 18153279 | US |