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Namangan Institute of Engineering and Technology
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Bog'liq ТўпламNamangan Institute of Engineering and Technology
nammti.uz
10.25.2023
Pg.377
times, and cut costs. Machine learning will become a key competitive advantage for manufacturers.
However, challenges related to data, talent, and model robustness must be addressed. Overall,
machine learning holds tremendous potential to make manufacturing and industrial operations
more efficient, resilient, and intelligent.
References
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2.
Эргашев, Б. (2021). Интеллектуальный анализ данных в оптимизации
промышленных процессов. Проблемы информатики, 3(54), 28-36.
3.
Lee, J., Wu, F., Zhao, W., Ghaffari, M., Liao, L., & Siegel, D. (2014). Prognostics and health
management design for rotary machinery systems—Reviews, methodology and applications.
Mechanical systems and signal processing, 42(1-2), 314-334.
4.
Khan, S. A. (2018). Machine learning and AI for predictive maintenance. In Digital
Transformation of the Design, Construction and Management Processes of the Built Environment
(pp. 197-205). Springer, Cham.
APPLICATIONS OF MECHATRONICS AND AUTOMATION IN EDUCATION: TECHNOLOGIES AND THE
FUTURE OF EDUCATION
X.B.Madaliyev, H.K.Najmiddinov
Namangan Institute of Engineering and Technology
Abstract: Mechatronics and automation are playing an increasingly important role in
education. These technologies are being used to enhance traditional teaching methods, increase
access to education, and prepare students for careers in STEM fields. This article explores current
and future applications of mechatronics and automation in education. It looks at technologies like
artificial intelligence, robotics, augmented/virtual reality, and how they can transform learning
experiences. Challenges and opportunities related to implementing these technologies are also
discussed. The goal is to provide an overview of how mechatronics and automation will shape the
future of education.
Key words: Mechatronics, automation, education, technologies, future, AI, robotics, virtual
reality, simulations, robotics, remote labs, automated management, big data analytics.
Introduction. Education is undergoing a technology-driven transformation. Emerging
technologies in mechatronics and automation are enabling new modes of teaching and learning.
Mechatronics integrates mechanical, electronic, and computer engineering to design smart devices
and systems. Automation relies on control systems and information technologies to operate
equipment and processes. The synergy between mechatronics and automation has led to advanced
systems that can replicate human skills and behaviors. This convergence makes mechatronics and
automation well-suited to improve education [1].
Some current applications of mechatronics and automation in education include:
Intelligent tutoring systems - These AI-powered systems provide adaptive instruction and
feedback without human intervention. They analyze student learning patterns and adjust teaching
strategies accordingly [2].
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