Development of the knowledge-based learning system for distance education

Abstract

This article addresses difficulties in developing a knowledge base for application to educational environments. To solve this problem, fundamental principles used for building similar systems are proposed. A mathematical model is chosen to propose a mathematical design of educational materials based on linguistic variables. A membership function of knowledge evaluation and an architecture of fuzzy knowledge were created, on the basis of a set of two types of fuzzy rules that cover all possible situations in the educational environment, with a demonstration of its application based on the original method of selection questions for procedure evaluation of student knowledge. In the end, the studies analyzing the utility of the experiment clearly showed an increase in the efficiency of the educational process, with the advantage of applied models and technologies in the long term. © 2012 Wiley Periodicals, Inc.

Knowledge modeling: A survey of processes and techniques

“…Botta et al 143 proposed a context adaptation approach, which uses a set of operators selected by context to adapt the meaning of terms to a specific context to obtain a balance between interpretability and accuracy in the development of a fuzzy rule-based system. Shahbazova 142 established a fuzzy knowledge base in the education domain through two types of fuzzy rules in the educational environment. Solovjev et al 138 used fuzzy rules to model the knowledge and experience of decision-makers to solve the problem of uneven thickness distribution during the plating process.…”

Modeling of Creation of the Complex on Intelligent Information Systems Learning and Knowledge Control

“…19 The priority task in this direction is to assist students in organizing and enhancing their self-educational and cognitive activities for optimization of their core functions. Special relevance of these conditions is to equip students to do methodically their individual work.…”

“…This understanding of the individual work of students in the creation and implementation of the quality management system of the university should be the basis of their successful learning. 19 The priority task in this direction is to assist students in organizing and enhancing their self-educational and cognitive activities for optimization of their core functions. Special relevance of these conditions is to equip students to do methodically their individual work.…”

Informational Modeling of the Behavior of a Teacher in the Learning Process Based on Fuzzy Logic

“…Cybernetic simulation of behavior of the teacher in the process for the control of knowledge is reduced to simulate an intelligent way to determine the amount of knowledge of the student, through the expert sample questions and case analysis, followed by reaction of the system based on the results of each answer individually. Database of questions drawn up by experts are specifically for each course, and are learning to identify the level of educational information and consolidate the knowledge and skills to use them in practice …”

“…Database of questions drawn up by experts are specifically for each course, and are learning to identify the level of educational information and consolidate the knowledge and skills to use them in practice. 12 This complication can be compared with the automated knowledge control process with the student survey teacher, both in quality and in effectiveness, while avoiding human error and ensuring reliable assessment of the current knowledge of the student.…”