Online mentoring and tutoring network to support students in achieving their learning goals

Abstract

Technical field: The invention belongs to the field of online educational platforms and networks, specifically systems and methods for supporting students through online mentoring and tutoring. Abstract: The invention relates to an online mentoring and tutoring network for supporting students in achieving their learning goals. The network integrates experts from various fields who offer individually tailored guidance. A central, cloud-based system connects mentors and students, enabling scalable and secure data processing and storage. An algorithm using machine learning and AI analyzes student and mentor profiles to create optimal pairings. The platform supports real-time interactions through WebRTC technology, enabling video calls, chat, and screen sharing. Mentors create customized learning plans based on data analysis of learning progress and the student's individual needs. The platform utilizes big data and analytics tools to monitor learning progress and generate reports.After each session, students and mentors can provide ratings and feedback to continuously improve the support. Inventive achievement: The invention integrates modern technologies such as cloud computing, machine learning, AI, WebRTC, big data and sentiment analysis to create a personalized, efficient and flexible learning environment, offering a significant technological advancement over existing platforms.

Description

1. Title of the invention: Online mentoring and tutoring network to support students in achieving their learning goals 2. Technical field: The invention belongs to the technical field of online educational platforms and networks, in particular systems and methods for supporting students through online mentoring and tutoring. 3. Current State of the Art: Existing online learning platforms often offer general courses and learning materials that do not adequately address the individual needs of students. Many of these platforms do not allow for personalized support or real-time communication with experts. While platforms do offer online courses and learning aids, they lack an integrated solution that utilizes modern technologies such as artificial intelligence, machine learning, and big data analytics to provide tailored and efficient learning support. 4. The problem underlying the invention: The main problem is that existing online learning platforms do not offer sufficient individualization and personalization of learning support. Students have different learning styles, needs, and goals that cannot be effectively addressed by generic learning materials and methods. Furthermore, there is a lack of an efficient method for finding the best mentors for specific student needs and creating a dynamic, interactive learning environment. 5. Problem solving and improvement of the known state of the art: The invention offers a technical solution through the development of an online mentoring and tutoring network comprising the following features: A central, cloud-based system for connecting mentors and students, enabling scalable and secure data processing and storage. ◯ A registration and profiling system for students and mentors that captures detailed information and preferences. ◯ An algorithm that uses machine learning and artificial intelligence to create optimal pairings of students and mentors based on various criteria. ◯ WebRTC-based real-time communication tools for interaction between students and mentors, including video calls, chat and screen sharing. ◯ A database-driven system for creating and adapting individual learning plans based on the specific needs and progress of the students. ◯ Big data and analytics tools to monitor learning progress and generate reports that process and visualize performance data in real time. ◯ An integrated assessment system with sentiment analysis and text mining technologies to transform feedback from students and mentors into quantifiable data and enable continuous improvement. 6. Exemplary embodiment of the invention: One exemplary embodiment of the invention is an online platform where students create a profile that includes their learning goals, preferences, and previous achievements. Mentors, who are experts in various fields, also create profiles indicating their qualifications and availability. A matching algorithm analyzes these profiles and creates optimal pairings of students and mentors. The platform supports real-time communication through video calls, chat, and screen sharing, enables the creation and customization of individual learning plans, and monitors learning progress through big data analytics. After each session, students and mentors can provide ratings and feedback, which is transformed into quantifiable data through sentiment analysis and text mining to continuously improve learning support.The platform ensures that all data is handled securely and confidentially to guarantee data protection.

Claims

[1] Main claim: Online mentoring and tutoring network to support students in achieving their learning goals, comprehensive: a central, cloud-based system for connecting mentors and students, ◯ a registration and profiling system for students and mentors, ◯ an algorithm that uses machine learning and artificial intelligence to optimally match students and mentors based on various criteria, ◯ WebRTC-based real-time communication tools for interaction between students and mentors, ◯ a database-driven system for creating and customizing individual learning plans, ◯ Big data and analytics tools for monitoring learning progress and generating reports, ◯ an integrated assessment system with sentiment analysis and text mining technologies for feedback from students and mentors. [2] Subclaim: The network according to claim 1, wherein the real-time communication means include video calls, chat and screen sharing. [3] Sub-claim: The network according to claim 1, wherein the matching algorithm takes into account factors such as subject area, learning style and availability. [4] Sub-claim: The network according to claim 1, wherein the registration and profiling system also offers the possibility to capture additional information such as learning objectives and student preferences. [5] Sub-claim: The network according to claim 1, wherein the database-supported system for creating and adapting individual learning plans also includes an interface for integrating external educational resources and materials. [6] Sub-claim: The network according to claim 1, wherein the big data and analysis tools also include predictive analyses to predict learning progress and to identify potential difficulties of the students. [7] Sub-claim: The network according to claim 1, wherein the integrated rating system also generates automatic notifications and recommendations based on feedback from students and mentors. [8] Sub-claim: The network according to claim 1, wherein the cloud-based system includes security measures that ensure the data protection and confidentiality of the student and mentor data.