Intelligent cloud platform based on artificial intelligence

Abstract

The invention relates to an intelligence cloud platform based on artificial intelligence, and the platform comprises the following components: a user interface module which is used for receiving the input of a user and displaying the learning content and feedback; the data processing module comprises the following sub-modules: a, a data collection sub-module used for collecting learning data of a user; b, a data analysis sub-module used for analyzing user data to identify a learning mode and effect; c, a personalized recommendation sub-module used for generating personalized learning suggestions according to the analysis result; the knowledge base module comprises learning resources of a plurality of fields; the intelligent tutoring module is used for providing targeted learning guidance by using a machine learning algorithm; the cloud database is used for storing user data, learning materials and historical learning data; the security module is used for protecting the security of data transmission and storage; and the interactive cooperation module allows online communication and cooperative learning of multiple users.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence, and in particular to an artificial intelligence-based Zhixue Cloud platform. Background Art

[0002] With the rapid development of computer science and artificial intelligence, intelligent education has become a future development trend. The existing cloud platform has a low degree of intelligence and cannot meet students' efficient and personalized needs, resulting in poor learning effects and user experience. Summary of the invention

[0003] In order to overcome the problems in the prior art, the present invention provides an AI-based Zhixue Cloud platform, which aims to create an efficient, personalized and interactive online learning environment. The platform integrates a variety of intelligent algorithms and modules to improve learning effects and user experience.

[0004] To achieve the above object, the present invention adopts the following technical solutions:

[0005] The AI-based Zhixue Cloud Platform includes the following components:

[0006] A user interface module, used to receive user input and display learning content and feedback;

[0007] The data processing module includes the following submodules: a. a data collection submodule, which is used to collect users' learning data; b. a data analysis submodule, which is used to analyze user data to identify learning patterns and effects; c. a personalized recommendation submodule, which is used to generate personalized learning suggestions based on the analysis results;

[0008] Knowledge base module, which contains learning resources in multiple fields;

[0009] Intelligent tutoring module, which uses machine learning algorithms to provide targeted learning guidance;

[0010] Cloud database, which stores user information, learning materials and historical learning data;

[0011] Security module, which protects the security of data transmission and storage;

[0012] Interactive collaboration module allows multiple users to communicate and learn collaboratively online.

[0013] Preferably, the user interface module includes a course browsing and selection interface, interactive tools, a learning content display area, and progress tracking and feedback.

[0014] Preferably, the intelligent tutoring module includes student information management, natural language processing, cognitive model and performance model, and data collection and storage.

[0015] Preferably, the security module includes data encryption, identity authentication mechanism, access control, network security, and security policy.

[0016] Preferably, the interactive collaboration module includes communication tools, task allocation and management, UI interaction components, and design pattern implementation.

[0017] Compared with the prior art, the present invention has the following beneficial effects:

[0018] The present invention uses data mining and analysis technology to extract valuable information from a large amount of user interaction data, and provides customized learning paths and resource recommendations for each learner. This helps students master knowledge more efficiently and saves time in finding suitable learning materials. Secondly, the platform's intelligent tutoring module combines machine learning and natural language processing technology to provide students with real-time question answering and learning support. This instant feedback mechanism not only improves learning efficiency, but also enhances students' self-confidence and learning motivation. Furthermore, the interactive collaboration module promotes communication and cooperation among students. Through real-time communication tools, shared workspaces and task management functions, students can assist each other in completing projects and assignments, enhancing teamwork capabilities. Finally, the platform's security module adopts strict data encryption and access control measures to ensure the security of users' personal information and learning data, providing users with a safe and reliable learning environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a structural schematic diagram of the present invention. DETAILED DESCRIPTION

[0020] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the specific implementation mode, structure, characteristics and effects of the present invention are described in detail below in combination with the accompanying drawings and preferred embodiments.

[0021] like Figure 1 As shown, the AI-based Zhixue Cloud Platform includes the following components: a user interface module for receiving user input and displaying learning content and feedback;

[0022] The user interface module includes the following components:

[0023] Login / registration interface: provides users with the function of registering new accounts and logging in to existing accounts, usually including username and password input boxes, as well as options for forgetting passwords and staying logged in.

[0024] Navigation bar / menu: helps users navigate in the app, usually including quick access to main areas such as home page, course list, learning progress, personal center, etc.

[0025] Course browsing and selection interface: displays available courses and resources, allowing users to filter and select according to their interests and needs.

[0026] Learning content display area: presents detailed information of the selected course, such as videos, documents, charts and other multimedia learning materials.

[0027] Interactive tools: such as comment areas, question-and-answer sections, and live chat rooms, which enable users to communicate with other learners and teachers.

[0028] Personalized recommendations: Display customized learning suggestions and resources based on user historical behavior and preferences.

[0029] Settings / Preferences: Allow users to customize their learning experience, such as adjusting font size, selecting a theme color, or turning notifications on / off.

[0030] Progress tracking and feedback: Record the user's learning progress, provide completion status of tests and exercises, and regular learning reports and feedback.

[0031] Help and Support: Provides FAQs, options to contact customer service, and user guides to help users solve problems encountered during use.

[0032] The data processing module includes the following submodules: a. a data collection submodule, which is used to collect users' learning data; b. a data analysis submodule, which is used to analyze user data to identify learning patterns and effects; c. a personalized recommendation submodule, which is used to generate personalized learning suggestions based on the analysis results;

[0033] Knowledge base module, which contains learning resources in multiple fields;

[0034] The intelligent tutoring module uses machine learning algorithms to provide targeted learning guidance; the intelligent tutoring module includes the following components: Student information management: This module is responsible for storing and managing students' basic information and learning records so that the system can analyze and track students' learning progress and results. Learning analysis: By analyzing students' learning situations, such as progress, results, and habits, this module aims to understand the learning status of each student and provide personalized suggestions accordingly. Natural language processing: This technology enables the system to understand and respond to students' queries, providing an interactive experience close to that of human teachers. Computer vision: Used to recognize and analyze students' handwritten or drawing assignments, enhancing the possibility of interactive learning. Data collection and storage: The intelligent tutoring system needs to collect a large amount of learning data and store them in a secure, reliable, and easily accessible system for subsequent analysis and use. Cognitive models and performance models: These models are built based on the skills required to solve problems and use algorithms to measure and track students' performance while providing dynamic help and feedback.

[0035] Cloud database, which stores user information, learning materials and historical learning data;

[0036] Security module, which protects the security of data transmission and storage; includes the following components: Data encryption: Use advanced encryption technology (such as SSL / TLS) to protect the security of data during transmission and prevent sensitive information from being intercepted or tampered with. Authentication mechanism: Verify user identity through username and password, multi-factor authentication or biometric technology to ensure that only authorized users can access the system. Access control: Implement role-based access control (RBAC) or attribute-based access control (ABAC) to ensure that users can only access data and resources within their authority. Network security: Use tools such as firewalls, intrusion detection systems (IDS) and intrusion prevention systems (IPS) to protect the network from unauthorized access and various network attacks. Audit log: Record all access and operations to key parts of the system so that they can be tracked and analyzed when security issues arise. Data backup and recovery: Regularly back up databases and key files to ensure that data can be quickly restored when lost or damaged. Vulnerability management: Regularly conduct security scans and vulnerability assessments, and promptly repair discovered vulnerabilities to prevent malicious exploitation. Security policy and training: Develop strict security policies and regularly conduct security awareness training for employees to reduce security incidents caused by human errors. Compliance monitoring: ensuring that the platform complies with relevant data protection laws and industry standards, such as GDPR or HIPAA. Abnormal behavior monitoring: using machine learning algorithms to analyze user behavior to identify and respond to suspicious activities, thereby preventing potential security threats.

[0037] The interactive collaboration module allows multiple users to communicate and learn collaboratively online. The interactive collaboration module includes the following components:

[0038] Communication tools: This may include instant messaging services, discussion forums, and integrated email systems, enabling users to communicate in real time. Shared workspaces: Allow multiple users to collaborate on the same document or project, providing version control and synchronization capabilities to ensure that everyone is always using the latest information. Task assignment and management: Tools to assign tasks, set deadlines, and track progress help teams manage workflow and responsibilities. Calendar and event management: Assist in scheduling meetings, planning project milestones and other important events. File sharing and storage: Cloud storage solutions for storing, sharing, and backing up work-related files. Interactive whiteboards and presentations: For use in online meetings, supporting visual collaboration and discussion. UI interaction components: For example, drop-down menus, sliding input bars, pagers, etc., to improve the interactivity and user experience of the user interface. Design pattern implementation: For example, template method, strategy pattern, observer pattern, etc., to achieve loose coupling between the framework and the application through late binding.

[0039] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments with equivalent changes without departing from the scope of the technical solution of the present invention. However, any brief introduction and modification of the above embodiments made according to the technical essence of the present invention without departing from the content of the technical solution of the present invention are made.

Claims

1. Intelligent learning cloud platform based on artificial intelligence, It is characterized in that It includes the following components: A user interface module, used to receive user input and display learning content and feedback; The data processing module includes the following submodules: a. a data collection submodule, which is used to collect the user's learning data; b. Data analysis submodule, used to analyze user data to identify learning patterns and effects; c. Personalized recommendation submodule, used to generate personalized learning suggestions based on the analysis results; Knowledge base module, which contains learning resources in multiple fields; Intelligent tutoring module, which uses machine learning algorithms to provide targeted learning guidance; Cloud database, storing user information, learning materials and historical learning data; Security module, which protects the security of data transmission and storage; Interactive collaboration module allows multiple users to communicate and learn collaboratively online.

2. According to the artificial intelligence-based Zhixue Cloud Platform of claim 1, It is characterized in that The user interface module includes a course browsing and selection interface, interactive tools, a learning content display area, and progress tracking and feedback.

3. According to the artificial intelligence-based Zhixue Cloud Platform of claim 1, It is characterized in that The intelligent tutoring module includes student information management, natural language processing, cognitive model and performance model, and data collection and storage.

4. According to the artificial intelligence-based Zhixue Cloud Platform of claim 1, It is characterized in that The security module includes data encryption, identity authentication mechanism, access control, network security, and security policy.

5. According to the artificial intelligence-based Zhixue Cloud Platform of claim 1, It is characterized in that The interactive collaboration module includes communication tools, task allocation and management, UI interaction components, and design pattern implementation.

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