Work

Multi-criteria analysis of knowledge delivery methods for the development of an intelligent ict textbook

Year: 2024

Type: article

Abstract: There are various models for the development of such systems, such as Rule-based, Case-Based, Logic- based, Frame-based, Bayesian network, Semantic based, Ontology-based. In addition, Reusability, Shareability, Reasoning engine, Open knowledge, Question answering, Assessability are the criteria tasks for creating such models. The purpose of the article is to conduct a comparative analysis of the methods, as well as to determine the advantages and disadvantages of using each of the methods in a particular situation. Ontology-based personalizes content that allows the system to respond to various user characteristics, performance, and current knowledge. In addition, it improves the search for educational resources, which will allow you to receive information from external sources. Also, there are ontologies in the architecture of the feedback system that provide support to students during training and to teachers during the development of curricula. The ontology structure contains reasoning mechanisms that can improve the adaptability and customization of Intelligent Tutoring System frameworks.

Source: Bulletin of the National Engineering Academy of the Republic of Kazakhstan

DOI: 10.47533/2024.1606-146x.015

Authors: N. Zh. Sabitova, R. S. Nyazova, R. S. Shuakbayeva, G. M. Uvaliyeva, L. U. Taimuratova

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: diamond

OpenAlex ID: W4410105654

FWCI:

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