Personalized online learning optimization system based on big data
By designing a personalized online learning optimization system based on big data, the problem of lack of real-time social interaction and poor student self-discipline in the online learning system is solved, and flexible and personalized learning experience and motivation for learning is achieved.
Patent Information
- Application Number
- CN202411780490.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-05
- Publication Date
- 2025-03-21
AI Technical Summary
The lack of constraints on real-time social interaction and student self-discipline in online learning systems leads to students who may miss real-time interaction and teamwork opportunities with classmates and teachers, and lack motivation and binding in learning.
A personalized online learning optimization system based on big data is designed, including modules such as user management, course management, discussion and interaction, homework and quizzes, questions and answers, real-time interaction, evaluation and feedback, learning analysis, rewards and learning motivation, practice and field experience, and system management. Through big data analysis and personalized recommendation, students' learning motivation and promote real-time interaction.
It realizes students' flexibility in learning in independent time and place, and provides personalized learning paths and resource recommendations, stimulates students' learning motivation, enhances the interaction and cooperative spirit of learning, and solves the problem of poor self-discipline for students.
Smart Images
Figure CN119671804A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the field of learning systems, and in particular is a personalized online learning optimization system based on big data. Background Art
[0002] An online learning system is a system that provides education and training services through the Internet. It allows students to access course content through the Internet at any time and any place, and communicate and interact with teachers and other students.
[0003] The advantages of online learning systems include providing flexible learning time and place, personalized learning experience, convenient access to learning resources, etc. It has been widely used in education and training at all levels and has been increasingly accepted and used around the world.
[0004] However, although online learning systems provide certain communication and interaction functions, they lack real-time and face-to-face social interaction compared to traditional face-to-face teaching. Students may miss the opportunity to interact with classmates and teachers in real time and work in teams. In addition, online learning requires students to have the ability of self-management and self-discipline, which may be a challenge for some students. Without a formal classroom environment and real-time supervision, students may lack motivation and restraint in learning. Summary of the invention
[0005] Technical problems to be solved: How to solve interaction problems and poor student self-discipline.
[0006] Technical solution: The present invention provides a personalized online learning optimization system based on big data, including: a user management module: used to register, log in and manage the account information of students, teachers and administrators; a course management module: used to create, edit and manage the course content, learning materials and learning objectives in the online learning system; a learning resource management module: used to upload, organize and manage various learning resources in the online learning system; a discussion and interaction module: providing discussion forums, online discussions and question answering functions to promote interaction and communication between students, between teachers and between students and teachers; an assignment and test module: used to assign, submit and evaluate assignments and tests, including automated marking and grading functions; a question and answer module: providing an online question function so that students can ask questions at any time. Teachers ask questions and get answers; Real-time interaction module: provides virtual classes, real-time video conferencing and collaboration tools to support real-time interaction and teamwork; Evaluation and feedback module: used to evaluate students' learning outcomes and provide detailed feedback and suggestions to help students improve their learning; Learning analysis module: collects and analyzes students' learning data, provides learning analysis reports and personalized learning suggestions; Reward and learning motivation module: introduces learning challenges, learning communities and reward mechanisms to stimulate students' learning motivation and enthusiasm; Practice and field experience module: provides virtual laboratories, simulation scenarios, etc. for learning areas that require practice and field experience to support practical learning; System management module: used for system configuration, monitoring and management, including user authority management, system settings and backup, etc.
[0007] Technical effect: The online learning system provided by the present invention allows students to arrange their studies according to their own time and place, and provides a flexible way of learning. Students can study at their own pace according to their own needs, without being constrained by the time and place restrictions of traditional classrooms. In addition, personalized learning paths and learning resource recommendations can be provided according to students' interests, learning styles and progress. Students can independently choose appropriate learning content and methods according to their needs and learning progress to enhance learning effects and satisfaction. In addition, the online learning system can stimulate students' learning motivation and enthusiasm by setting learning challenges, task goals and reward mechanisms. Students can enhance their interest and motivation in learning by completing tasks and obtaining rewards. Finally, the online learning system provides various interactive and collaborative functions, such as discussion forums, real-time video conferences, etc. Students can communicate, discuss and cooperate with teachers and other students in real time, share learning experiences, solve problems, and promote interactive and cooperative learning. BRIEF DESCRIPTION OF THE DRAWINGS
[0008] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:
[0009] Figure 1 It is a schematic diagram of the module structure of the present invention. DETAILED DESCRIPTION
[0010] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.
[0011] The personalized online learning optimization system based on big data provided in this specific implementation is as follows: Figure 1 As shown, including:
[0012] User management module: The user management module is the basic module of the online learning system, which is used to register, log in and manage the account information of students, teachers and administrators. This module should provide a user-friendly interface so that users can easily create accounts, set passwords, and manage personal information. Users can enter the necessary personal information through the registration page and select the corresponding role, such as student, teacher or administrator. The login page should provide a secure authentication mechanism, such as using username and password, two-factor authentication, etc. In addition, the user management module should also support operations such as account modification, password reset, logout and deletion to meet the different needs of users.
[0013] Course Management Module: The course management module is used to create, edit and manage course content, learning materials and learning objectives in the online learning system. Teachers can use this module to create new courses and set the course name, description and learning objectives. Teachers should also be able to upload learning resources such as teaching materials, courseware, videos, and arrange the chapters and sequence of the course. The course management module can also provide version control functions to facilitate teachers to update and modify course content. At the same time, the module should provide permission management, allowing teachers to set the accessibility of courses and students' joining permissions.
[0014] Learning resource management module: The learning resource management module is used to upload, organize and manage various learning resources in the online learning system, such as textbooks, video courses, exercises, etc. Teachers can upload various resources through this module and add tags, descriptions and categories to them so that students can browse and search for resources conveniently. This module should also support uploading and online preview of multiple file formats to ensure that students can directly access and use learning resources in the system. In addition, the learning resource management module can also provide a recommendation system to recommend relevant learning resources based on students' interests and learning history, thereby improving the personalization and pertinence of learning.
[0015] Discussion and interaction module: The discussion and interaction module is an important module in the online learning system to promote interaction and communication between students, between teachers, and between students and teachers. This module should provide functions such as discussion forums, online discussions, and question answering, so that students and teachers can interact and discuss in real time in the system. Students can initiate topics, ask questions, and discuss and answer with other students and teachers in the discussion forum. Teachers can regularly monitor and participate in discussions, provide guidance and answers. In addition, this module should also support private messaging functions, allowing one-on-one communication and consultation between students and teachers.
[0016] Homework and quiz module: The homework and quiz module is used to assign, submit and evaluate students' homework and quizzes. Teachers can use this module to create homework and quizzes and set deadlines and grading criteria. Students can view homework and quiz tasks in the system and submit their answers within the specified time. The module should support a variety of question types, such as multiple-choice questions, fill-in-the-blank questions, essay questions, etc., and provide automated grading and grading functions to reduce the evaluation burden on teachers. Teachers can view students' answers in the system and provide feedback and evaluation. In addition, the homework and quiz module can also record students' answer history and scores so that students and teachers can track and analyze learning progress.
[0017] Question and Answer Module: The question and answer module is an important part of real-time communication and question answering between students and teachers. Students can ask questions in this module and seek answers and guidance from teachers. Teachers can respond to students' questions in a timely manner and provide detailed answers and solutions. This module should provide a convenient question submission interface and allow students to categorize and label questions so that teachers can better organize and answer questions. In addition, this module should also support real-time chat or online conference functions so that students and teachers can communicate in real time one-on-one or in groups.
[0018] Real-time interaction module: The real-time interaction module provides virtual classes, real-time video conferencing, and collaboration tools to support real-time interaction and teamwork between students and teachers. Students can participate in virtual classes through this module to discuss and collaborate with classmates in real time. Teachers can conduct real-time video conferencing for online lectures and interactive teaching. Collaboration tools can allow students and teachers to share and edit documents, presentations, etc., to promote collaborative learning. This module should provide stable video conferencing functions, real-time chat, screen sharing, etc., so that students and teachers can interact efficiently in real time.
[0019] Evaluation and feedback module: The evaluation and feedback module is used to evaluate students' learning outcomes and provide detailed feedback and suggestions. Teachers can create evaluation tasks, such as homework, projects, etc. in this module and set scoring criteria. After students complete the task, teachers can evaluate and correct it and provide personalized feedback and suggestions. This module should support multiple evaluation methods, such as text comments, audio feedback, and visual scoring. Students can view the evaluation results and feedback in the system to help them understand their learning progress and improvement directions.
[0020] Learning analysis module: The learning analysis module is used to collect and analyze students' learning data, provide learning analysis reports and personalized learning suggestions. This module can track students' learning behavior, learning time, and learning progress, and generate visual learning reports. Teachers and students can understand students' learning status and behavior patterns through these reports, and provide personalized learning suggestions and recommendations based on the analysis results. This module can also apply machine learning and data mining technologies to provide intelligent learning analysis and personalized learning path recommendations.
[0021] Reward and learning motivation module: The reward and learning motivation module is used to stimulate students' learning motivation and enthusiasm. This module can set learning challenges, task goals and learning achievements, and obtain medals, badges and other rewards by completing tasks. Students can view their learning achievements and progress in the system, compare and compete with classmates, and enhance the fun and sense of achievement of learning. In addition, this module can also set up learning communities to encourage students to support and cooperate with each other and grow and learn together.
[0022] Practical and Field Experience Module: The Practical and Field Experience Module is used to support learning areas that require practical and field experience. This module can provide virtual laboratories, simulation scenarios, and simulation software to enable students to conduct practical learning and practice. Students can conduct virtual experiments, simulate operations in the system, and observe experimental results. Teachers can provide relevant materials and guidance to support students' learning and practical experience in virtual laboratories.
[0023] System management module: The system management module is used to manage and maintain the entire online learning system. This module should provide administrator privileges for configuring system settings, user privilege management, and system backup. Administrators can manage user accounts, process system logs and error reports, and ensure the security and stability of the system. In addition, the system management module can also provide statistics and reporting functions for monitoring system usage and statistical analysis of learning data.
[0024] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.
[0025] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A personalized online learning optimization system based on big data, characterized in that: include: User management module: used to register, log in and manage account information of students, teachers and administrators; Course management module: used to create, edit and manage course content, learning materials and learning objectives in the online learning system; Learning resource management module: used to upload, organize and manage various learning resources in the online learning system; Discussion and interaction module: provides discussion forums, online discussions and question answering functions to promote interaction and communication between students, between teachers and between students and teachers; Assignments and Quizzes: for assigning, submitting, and assessing assignments and quizzes, including automated grading and marking capabilities; Question and answer module: provides online question function, allowing students to ask questions to teachers and get answers at any time; Real-time interaction module: Provides virtual classes, real-time video conferencing and collaboration tools to support real-time interaction and teamwork; Assessment and Feedback Module: used to assess students’ learning outcomes and provide detailed feedback and suggestions to help students improve their learning; Learning analysis module: collects and analyzes students' learning data, provides learning analysis reports and personalized learning suggestions; Reward and learning motivation module: introduce learning challenges, learning communities and reward mechanisms to stimulate students' learning motivation and enthusiasm; Practice and field experience modules: Provide virtual laboratories, simulation scenarios, etc. for learning areas that require practice and field experience to support practical learning; System management module: used for system configuration, monitoring and management, including user authority management, system settings and backup, etc.
2. The personalized online learning optimization system based on big data according to claim 1 is characterized in that: The login page should provide a secure authentication mechanism, including but not limited to the use of username and password, and two-factor authentication; In addition, the user management module should also support operations such as account modification, password resetting, logout and deletion to meet the different needs of users.
3. The personalized online learning optimization system based on big data according to claim 1 is characterized in that: The course management module can also provide version control functions to facilitate teachers to update and modify course content; at the same time, the module should provide permission management, allowing teachers to set course accessibility and student joining permissions.
4. The personalized online learning optimization system based on big data according to claim 1 is characterized in that: The learning resource management module can also provide a recommendation system to recommend relevant learning resources based on students' interests and learning history, thereby improving the personalization and targeting of learning.
5. The personalized online learning optimization system based on big data according to claim 1 is characterized in that: The discussion and interaction module should provide functions such as discussion forums, online discussions and question answering, so that students and teachers can interact and discuss in real time in the system; students can initiate topics, ask questions, and discuss and answer with other students and teachers in the discussion forum; teachers can regularly supervise and participate in discussions, provide guidance and answers.
6. The personalized online learning optimization system based on big data according to claim 1 is characterized in that: The homework and test modules should support multiple question types, such as multiple-choice questions, fill-in-the-blank questions, essay questions, etc., and provide automated grading and scoring functions to reduce the assessment burden on teachers.
7. The personalized online learning optimization system based on big data according to claim 1 is characterized in that: The assessment and feedback module should support multiple assessment methods, such as text comments, audio feedback and visual scoring; students can view the assessment results and feedback in the system to help them understand their learning progress and improvement directions.
8. The personalized online learning optimization system based on big data according to claim 1 is characterized in that: The learning analysis module can track students' learning behavior, learning time, and learning progress, and generate visual learning reports; teachers and students can understand students' learning status and behavior patterns through these reports, and provide personalized learning suggestions and recommendations based on the analysis results.