BG3702U1 - Interactive learning system - Google Patents

Abstract

The interactive learning system comprises the following interconnected modules: 1. "Load distribution" 2. “Network Security” 3. "Server" 4. "User interface" 5. "Server applications" 6. "Artificial Intelligence" 7. "Machine learning" 8. “Format Conversion” The communication part of the system is designed via the client-server model, and the latter is upgraded with various algorithms and capabilities in order to optimize and improve the connection, which in turn facilitates the learning process. The teacher creates a virtual classroom and allows a certain number of students to the class session. Everyone (both teacher and students) sees on their screen a virtual "whiteboard" which occupies most of the screen. You can write, draw, start presentations, video and audio clips or pre-designed lessons on the board. These functionalities can be indefinitely extended and upgraded. The developed "Whiteboard", which is the central part of the learning process, is specially created in a way that resembles the interface of popular drawing applications in order to look and function in a way familiar to students. The specially developed algorithms with the use of Artificial Intelligence and Machine Learning monitor both the learning process and the self-preparation of students, as based on the submitted tests create a personal profile of each learner. Aggregated reports on different characteristics of a student, group of students, subjects and topics are also created. The reports and profiles are available to teachers and management bodies so that they can quickly track the processes and results. The system has the ability to warn of various events (e.g .poor results of a student, class, teacher, the so-called "hate speech" and so forth. The system has developed options for a chat, audio connection, file exchange, "drawing" on the virtual board by students, etc., however only upon authorization by the teacher.

Description

Field of technology

The interactive learning system can be used in the training of pupils, students, employees and others. under. There are no restrictions on age, gender, race or profession. In addition, the system can be used in companies, training centers and other structures where the acquisition of new knowledge and skills is required. Students can prepare in their free time, completely independently, using pre-prepared lessons and tests, and when they are sure of the already acquired knowledge, they can take exams. This makes it easier and cheaper to qualify and retrain people who are already working, giving them the opportunity to judge for themselves when they can be trained without having to make changes to their schedule or travel to the places where the training takes place. .

BACKGROUND OF THE INVENTION

Due to the rapid development of modern technologies and devices, schools and corporations are not able to respond to the high pace of education of their graduates in the digital world. The solution to this problem is to develop and develop an interactive cloud-based online system, enabling students / staff to acquire, develop and consolidate their knowledge and skills to link education and labor market requirements.

There are currently many different learning platforms. But most of them are content to show users video tutorials (such as Youtube) or texts and pictures in slides.

The problems of these approaches are that there is a lack of expertly substantiated approach to education, as well as a real assessment of the level of acquired knowledge and skills. Solutions using algorithms with Artificial Intelligence and Machine Learning are completely missing. Also, there is a lack of solutions on the market that combine the possibilities of screen painting, drag-and-drop video files, audio files and presentations and the interactive transmission of learning material. Overcoming these shortcomings is the subject of this utility model.

Technical essence of the utility model

The interactive learning system consists of the following interconnected modules:

1. "Load balancing"

2. "Network security"

3. Server

4. "User interface"

5. "Server applications"

6. Artificial Intelligence

7. "Machine learning"

8. "Format conversion"

1. Load balancer module - The process of load balancing is the distribution of data on several different systems in order to ensure fault tolerance (preservation of system performance despite failures in its elements), reliability and increased performance. Load balancing occurs between the client and the server group when the solution begins to receive incoming network and application traffic and distribute it between multiple backend servers through various methods. By balancing requests between multiple servers, the load balancing solution reduces the individual server load, improves response, and the overall availability of applications. The module receives the requests, assesses the system load and distributes them according to the built-in algorithm. The module interacts with both Module № 2 - Security and Module № 3 - Server.

2. Network Security Module - Users requesting access to the system's website go through an interactive dialog where they enter their usernames and passwords. The Network Security module validates the entered data by encrypting it with one-way

3932 Descriptions of utility registration certificates № 06.1 / 15.06.2020 hash function (hash function or fragmentation function) is a one-way, mathematical function that serves to "fragment", condense Another input definition is an arbitrary length is converted into an output string is a fixed length.Another definition is: a compact representation of the input sequence, which is also called a digital signature, fingerprint or extract (message digest, digital fingerprint). very often used to authenticate the source (Message Authentication Codes-MAC) or to verify the integrity of the data (Message Detection Codes - MDC), as the sender hashes (encrypts) the message, transmits the encrypted number over a simple, unencrypted connection and finally the recipient hashes (decrypts) the resulting number.Hashing generates a hash value for the data to be provided.The data then are encoded and the hash value is stored (or sent to the recipient) together is the encrypted data. When data needs to be decoded, a hash value must also be decoded. In addition, another hash value is generated and the two values must match. If they match, it is certain that the data has not changed), then compares them with the hashed usernames and passwords and in case of coincidence allows the user to his account (User subscription for computer network or computer system, including personal ID, password and rights for access to certain services) in the system. The module also monitors network connections and prevents system scan attempts and intrusion attempts by unauthorized users. The module interacts directly is Modules № 1 and № 3.

3. Server - This is the central hardware part of the system. It is a special computer on which all the software services that make up the system are installed. In communication, the server provides services to other computers called clients. The server software works on the basis of an application that listens for requests and returns a response, and both operations are according to a predefined protocol (in this case TSRLR).

4. User interface (front-end) (Front-end is the part that is visible to users - everything related to the user interface and usability of the application. In short - this is the interface between the user and the back-end applications) - Represents the graphical user interface that facilitates the use of the system. This is practically the programming interface that the user sees and the elements that interact with the system. It interacts with Module № 5 - Server Applications and with Server 3 itself.

5. Server applications (back-end) module (The back-end application serves to support front-end services. It can interact directly with the front-end application or, more commonly in practice, is a program called (intermediate program), which mediates between the activities of front and back-end applications) - Backend or "script-side" of system applications, consists of API, databases, framework and operating system. It refers to the parts of the computer application or program code that allow it to work and that cannot be accessed by the user. Most data and operating syntax are stored and accessed at the "back end" of a computer system. The back end is also called a layer of data access software or hardware and includes any functionality that needs to be accessed and navigated by digital means.

6. Module "Artificial Intelligence" - a subsystem of our interactive system that can be learned and adapted without human intervention. It has specially developed algorithms for adaptive behavior aimed at achieving the goals we have set. AI analyzes a huge set of parameters together is the behavior of users in the system and takes actions that increase the possibility of achieving a higher level of success of the educational process. The collected information is divided into small pieces - "neurons" - and then connected and embedded in groups. Unlike the symbolic A1, the neural system must be trained and stimulated so that neural networks gather experience and grow in order to gain more knowledge. Neural networks are organized in layers connected to each other by simulated lines. The top layer is an input layer that acts as a sensor that receives the information to be processed and transmits it down. It is followed by at least two or more than twenty in large systems - layers that are hierarchically on top of each other and send and classify information through links. It is at the very bottom

3933 Descriptions to utility registration certificates № 06.1 / 15.06.2020 the initial layer, which usually has the smallest number of artificial neurons. It provides the calculated data in machine-readable form. The module interacts continuously with Module № 5 - Server Applications and Module № 6 - Machine Learning

7. Machine Learning Module - The module builds a mathematical model on the data collected, called "training data", so that the Artificial Intelligence module can predict or make decisions. The module interacts directly with Module № 7 and Module № 5 - Server Applications.

8. Format Conversion Module - The module monitors uploaded files in a format that is protected and converts them to a free-to-use format. The module interacts with Module № 5 - Server Applications, as Module № 5 submits the information to Module № 8 and after the conversion, it is returned as a new file.

The communication part of the system is built on the client-server model, and it is upgraded with various algorithms and capabilities in order to optimize and improve the connection, which in turn facilitates the learning process. The teacher creates a virtual classroom and allows a certain number of students to the lesson. Everyone (both teacher and students) sees on their screen a virtual "whiteboard" that occupies most of it. On the board you can write, draw, start presentations, video and audio clips or pre-designed lessons. These functionalities can be extended and upgraded indefinitely.

The developed "Whiteboard", which is the central part of the learning process, is specially created in a way that resembles the interface of popular drawing applications to look and function in a familiar way to students.

Specially developed algorithms with the use of Artificial Intelligence and Machine Learning monitor both the learning process and the self-preparation of students and based on the solved tests create a personal profile of each student. Aggregated (Aggregation is a process in which individual data are collected for statistical purposes and expressed as a number. This can be in the form of a total or average value) reports on various characteristics of a student, group of students, subjects and topics. References and profiles are available to teachers and management so that they can track processes and results very quickly. The system can warn of various events (eg poor results of a student, class, teacher, so-called "hate speech", etc.).

The system has developed options for text chat, audio connection, file exchange, "drawing" on the virtual board by students, etc., but only after authorization by the teacher.

In order not to infringe copyright, the system monitors the files that are uploaded and when opening presentations in .ppt, .pptx or other copyrighted format, they are converted by a special algorithm written by us in a free to use vector format, which is stored and used by our system.

Advantages of the system

1. The system has universal applicability for teaching with interactive connection in various subjects in schools and colleges.

2. The system enables its users to use any combination of the following approaches: to learn individually, in a group, with the help of a teacher, as well as to create content / lessons that can be used by other students / teachers.

3. The system allows registered teachers to be able to create content that can be used indefinitely by their colleagues or their students.

4. The system allows the creation of virtual classrooms that allow distance learning to students from around the world.

5. The system can be used as a supplement to the classic model of learning - in the classroom, through all kinds of digital devices - computers, mobile devices, tablets, interactive whiteboards and multitouch learning devices with a large screen.

6. The system allows a general chat for discussion and for solving the set tasks, as well as

3934 Descriptions to utility registration certificates № 06.1 / 15.06.2020 for conference calls. The tasks on given topics will be able to be set through text and images and video lessons, which will acquaint students with basic concepts, concepts and methods for solving various cases on a given topic. This approach avoids the subjective measurement of the actually mastered material and increases the success of the learning process.

7. The system is cloud based and can be used without any installation on all computer and mobile devices, regardless of their operating system.

8. The interface of the system is easy to use, intuitive and specially tailored to the educational needs and capabilities of different age and target groups. The system refines and personalizes the information submitted to each student and feeds the algorithms with this personalized information in order to make precise decisions, develop and offer ready-made strategies and solutions for the better development of each student.

A graphical representation of the system is given in Figure 1.

Examples of implementation of the utility model

The interactive learning system can be applied to distance learning for students in times of crisis, such as that caused by the COVID-19 pandemic. For example, students can learn in real time in a virtual classroom under the guidance of a teacher. An example is a math lesson in which the teacher draws a geometric figure, such as a rectangle on an interactive whiteboard, and then explains to the students what a rectangle is, what the definition is, and how its various elements are calculated. The teacher can write the theorems related to the figure on the board, write the formulas that are derived for it, as well as draw and show the students everything that he decides is useful and should be learned from them. Students can ask questions, get involved in drawing and writing, after the appropriate authorization from the teacher. The capabilities of the system allow this lesson to be conducted without any prior preparation, as the elements are drawn by the teacher (or students) on the virtual "whiteboard" or to load a fully prepared pre-prepared lesson from the database of the system.

Application of the utility model

The system can be used in the educational process for teaching all kinds of subjects to students, employees who connect to the server of the system via the Internet and on all screens is displayed a virtual "whiteboard" on which the teacher can draw, writes , launches videos or presentations. All students hear what the teacher is saying, and if they wish to speak, they can press a special button on the screen, which is equivalent to raising a hand in class. The teacher sees on his screen that this button has been pressed and can activate the audio connection of any student who wishes to speak, so that he can ask his question.

Claims (1)

Claims An interactive learning system consisting of the following modules: load balancing (1) connected bilaterally to network security (2) and to a server (3), which are also bilaterally connected to each other, the server being connected to a user interface (4) connected to server applications (5) connected to artificial intelligence (6) connected to machine learning (7), such as user interface modules (4) server applications, artificial intelligence (6), machine learning ( 7) are bilaterally connected to each other, the server applications module (5) is connected bilaterally to the format conversion module (8).