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0«@®ii®@yjum-j®urnal» shím, 2023 / computer science
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COMPUTER SCIENCE
HidayatNemat oglu Taghiyev
Azerbaijan Cooperation University, "Computer engineering and information technologies " department head, associate professor
Shahbazova Qahira Lala gizi
Doctoral student of the Department of "Mathematics and Computer Sciences" of the Shamakhi branch of
ADPU.
Karimova Sabina Mubariz gizi 5thyear student of the Shamakhi branch of ADPU majoring in
"Mathematics and Informatics" DOI: 10.24412/2520-6990-2023-21180-3-6 IN BUILDING A NEW MODEL OF TRAINING APPLICATION METHOD OF COMPUTER
TECHNOLOGY
Summary:
He article discusses the structure of the management system and methodological support, taking into account the requirements of modern education to improve knowledge and skills.
Keywords:Languages of artificial intelligence, development of a prototype system, learning tools.
The inclusion of information processes in the educational structure, the informatization of the educational process requires new qualities from all educational workers. This, in turn, involves acquiring new skills and habits. ICT training and improvement of education system employees includes the following:
- Reconstruction of the pedagogical personnel training system for secondary schools, taking into account the concept of education informatization;
- creation of a management and methodical assurance system for improving the knowledge and skills of education system employees in the field of ICT. Preparation of appropriate programs for increasing the ICT literacy of various categories of educational workers (primary school teachers, subject teachers, school management). Improvement of subject teachers should not be limited to teaching the use of ICT equipment, attention should also be paid to inculcating practical skills to integrate existing resources into the teaching process;
- organizing computer literacy courses for teachers of other subjects in their schools for informatics teachers with the necessary level of preparation;
- Sufficient assessment of the work of subject teachers and informatics teachers who use ICT, preparation of a system for stimulating and motivating their activity;
- holding various contests and competitions among subject teachers and considering the results in stimulation and motivational events;
- preparation of more flexible programs for the improvement of informatics teachers;
- training of trainers to speed up the improvement process;
- creation of relevant institutions - information -methodological centers for training and improvement of education workers in the regions;
- ensuring regularity and systematicity in the process of improvement of education workers in the field of ICT;
- introduction of new specialties related to informatization of education in the system of higher, secondary and technical vocational education. In this sense, let's note the development of a new model of modern training through Expert Training Systems and its designation. One of the important and important issues is to first create an Expert Training System for the development of educational software tools.
Expert Training System (ETS) is a complex program complex that collects and disseminates the scientific knowledge and experience of highly qualified specialists in the field of education and training, and makes it possible for those with relatively less specialized them.
knowledge to use
A logical conclusion block
Knowledge base Explanatory subsystem
Intellectual editor of the knowledge base
The user interface is a software complex that implements the dialogue between the user and ETS in the proces s of entering a reques t and receiving an answer.
The logical conclusion block is a program that models the course of the expert's thoughts and ideas based on the information in the knowledge base.
An explanatory subsystem is a software complex that answers the user's questions of the following types: How was this or that recommendation received? Why
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did the system make such a decision? In the first question, the entire process of obtaining the opinion is shown by showing all relevant fragments of the knowledge base, and in the second question, the judgment that precedes the obtained result is referred to.
Each classification element has its purpose and characteristics. For example, the training system corrects mistakes and shows the correct answer when learning any subject (subject) through a computer; analyzes the learner's weaknesses in the field of the subject and prepares tools for their elimination; determines the amount, volume and degree of complexity of imparting knowledge depending on the mastery level. An example of this type of systems is the PROUST system based on Pascal's training. They aggregate (adapt) standard application software envelopes (for example, mathematical statistics, linear programming or database management systems) and consist of software complexes that are tools for knowledge manipulation . Hybrid systems can be an intellectual overlay for application software envelopes, or a tool for solving complex issues related to expert knowledge. But compared to autonomous ESs, the development of hybrid systems is much more complicated. Because linking software envelopes with different methodologies creates a number of theoretical and practical problems.
Instrumental means of processing ESs have also been created. They can be divided into 4 groups:
Traditional programming languages (C, C+, Basic, Small Talk, Fortran, etc.). They are mainly calculated for numerical algorithms, requiring a lot of work from the programmer due to the limited ability to work with symbols and logical data. But these languages are well adapted to traditional machine architectures.
1) Artificial intelligence languages - the most widespread are Lisp and Prolog. Their universality is
Knowledge base intelligent editor is a program that allows a knowledge engineer to create a knowledge base in dialog mode. It includes a built-in menu system knowledge presentation language template, "help" mode and other service tools that facilitate working
lower than traditional programming languages, but they have a wide range of possibilities for working with symbols and logical data. Special computers are created based on artificial intelligence languages (for example, Lisp - machine). These languages are not used in the development of Expert training systems.
2) Special software tools - provide development of educational programs at a higher level than artificial intelligence languages.
3) Shells (Оболочки, shells) - a shell means a ready-made version of ES without a knowledge base. Covers eliminate programming processes in creating ESs. In such a case, only a specialist (expert) working in the subject field is required to fill the knowledge base with real information. Library - covers are difficult to use for informational knowledge bases. Because modeling a number of processes is very complex (eg, abstracting, bibliographic and analytical review compilation, etc.).
The technology of creating educational software tools is almost the same as the exemplary technology of developing separate ETS for the entire educational system Currently, experts divide the development of ETS into six consecutive logical stages:
1) Determination of issues in the field of education;
2) prototype system development;
3) bringing ES development to operational level;
4) evaluation of the expert training system;
5) coordination of the system;
6) system support.
with the database. Expert Training Systems
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Identifying the problem area and issues - important for all phases of ETS. The head of the ETS, i.e. the knowledge engineer, must identify the problem. If an unfavorable problem is selected, it can lead to a waste of time and money. The knowledge that is important for solving the problem must also be stable, accurate and relatively permanent and cover all relevant issues.
Prototype system development is a generalized version of ETS. A prototype system is a special project to verify the correctness and coding of expert-provided
facts, judgment strategies, relationships between objects and processes. A prototype project consists of dozens of rules, frames and examples.
Experimental methods of knowledge selection (revealing) were explained as a direct live dialogue between a knowledge engineer and an expert. But this is not the only method. Currently, methods of knowledge selection (discovery) to create knowledge bases are given:
Selection of knowledge
- observation;
- your conversation protocolization;
- lectures
Communicative methods
Passive
-brain attack;
- Roundtable;
- business games
Group
Active
- polling;
- interview;
- free dialogue;
- expert games
Group
- scientific, methodical and
production analysis of literature;
- analysis of textbooks;
- analysis of working documents
Textology (textual studies) methods
Biliyin seçilmosi
- mü^ahida;
- söhbatin
protokollaçduûmasi;
- mühaziralar
Kommunikativ metodlar
Passiv
- beyin hamlasi;
- dayirmi masa;
- içguzar oyunlar
Qrup
Faal
- anketla^dirma;
- müsahiba;
- sarbast dialoq;
- ekspert oyunlari
Qrup
- elmi, metodiki va istehsalat
adabiyyatinin tahlili;
- darsliklarin tahlili;
- iççi sanadlarin tahlili
Tekstoloji (matn^ünasliq) metodlar
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For example, let's build a computer model for calculating the square root of odd numbers from 5 to 95 natural numbers.
1. Establishing the algorithm of the given problem
2. Execution of the problem program in the Pascal programming language
3. Implementation of the compiled program on a computer
Since the block diagram design of the algorithm is methodologically understandable, let's design it.
Program SF; Us es crt; Var x:integer; S:real; Begin S:=0;
For x:=5 to 95 do begin
If x mod 2 <> 0 then s :=sqrt(x);
Writeln ('s=',s);
End;
End;
Literature used: 2. Isa Ismayilov, Javid Abdullayev Technical
1. H.N. Taghiyev, Kh.N. Rzayeva and others. , means of training and methods of using them in Basics of informatics and programming, Baku-2017 teaching new information technologies, Baku-2006
3. S.G. Karimov Information systems, Baku-2008
