Dec 2026· Journal of Engineering Sciences and Innovation· 0 citations· 10 references
Abstract
This paper is concerned with increasing the efficiency of teaching and learning in engineering by applying artificial intelligence (AI) techniques and technologies. An approach to realize the personalized intelligent tutorial system (ITS) is proposed, which would be more oriented to the specifics of engineering teaching. The key idea is to create a subsystem for generating personalized tasks for students in the form of a decision module based on binary and fuzzy logic rules. Intelligent tutoring systems are characterized by storing three types of knowledge base: a) domain knowledge, b) learner knowledge, and c) pedagogical knowledge. It is these types of knowledge that also determine the three main parts of the ITS architecture: a) domain knowledge creation/development applications, learner knowledge assessment modules, and pedagogical knowledge creation/development modules.
It was concluded that artificial intelligence is an important tool for the modernization of contemporary education, contributing to improved teaching quality, enhanced opportunities for the personalization of learning, and more effective management of educational systems.
D. Abzhaparova, M. Zheenbaeva, Z. Aitieva et al.· Bulletin of Science and Prac...· 0 citations
The article explores the possibilities of applying artificial intelligence technologies in teaching the subject “Life Skills” at the primary education level. The integration of artificial intelligence into the educational environment is of great importance in terms of expanding personalized learning opportunities, deve...
The results show that AI can be utilized as a learning assistant, a supporter of personalized learning, a developer of teaching materials, a provider of feedback, an assessment supporter, and a tool to enhance student self-directed learning and creativity.
Heppy Sapulete, Lia Khalisa, Afifah Qurrota A'yun et al.· International Journal of Edu...· 0 citations
The article analyzes the pedagogical possibilities of organizing problem-based learning through the use of artificial intelligence tools and developing students’ critical thinking skills. It examines the didactic possibilities of using artificial intelligence technologies in the modern digital educational environment,...
Qaypenova Tazaxan Ótenazarovna· European International Journ...· 0 citations
The article concludes that the educational value of AI is determined less by the novelty of a particular tool than by the quality of its pedagogical integration and human oversight, critical thinking, and clearly defined learning objectives should remain central to AI-enhanced education.
Voxabov Doniyor Ibroximovich· International Journal of Ped...· 0 citations
With artificial intelligence incorporated into the core content of the Information Technology Curriculum Standards for Compulsory Education, primary school AI education faces problems such as severe homogenization of teaching resources, difficulty in penetrating core competencies, and disconnection between the developm...
Y. Ou· Advances in Social Behavior...· 0 citations
