IMPROVING THE METHODOLOGY OF TEACHING COMPUTER SCIENCE TO STUDENTS WITH THE HELP OF ARTIFICIAL INTELLIGENCE CAPABILITIES
Journal Title: International scientific journal Science and Innovation - Year 2024, Vol 3, Issue 2
Abstract
This paper explores the transformative potential of integrating artificial intelligence (AI) capabilities into the methodology of teaching computer science to students. In an increasingly technology-driven world, the demand for digital skills is escalating, underscoring the importance of effective computer science education. AI-driven tools and techniques offer innovative solutions to enhance the learning experience, providing personalized instruction, real-time feedback, and interactive learning environments. Through adaptive learning systems, natural language processing for programming assistance, machine learning for predictive analytics, gamification, computer vision, and automated essay grading, educators can tailor instruction to individual learning needs, promote deeper understanding, and foster engagement among students. By leveraging AI technologies, educators can inspire the next generation of computer scientists and equip them with the skills and knowledge needed to thrive in a rapidly evolving digital landscape.
Authors and Affiliations
Nomozov Nurbek Bakhtiyar ogli
Keywords
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- EP ID EP732473
- DOI 10.5281/zenodo.10718637
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