TECHNOLOGIES OF ARTIFICIAL INTELLIGENCE IN OPTICAL COMMUNICATION AND THEIR INTEGRATION INTO INTELLIGENT TUTORING SYSTEMS
DOI:
https://doi.org/10.5281/zenodo.19080843Keywords:
optical communication, artificial intelligence, intelligent tutoring systems, adaptive learning, signal processingAbstract
This article explores the application of artificial intelligence (AI) in optical communication technologies and its
integration into intelligent tutoring systems (ITS). Optical communication, as a backbone of high-speed data transmission,
requires optimization methods to reduce noise, minimize errors, and ensure adaptive control. AI techniques such as
deep learning, Bayesian algorithms, and ant colony optimization are widely employed for signal processing and adaptive
modulation in optical networks. The research further highlights how AI-based modeling of optical communication processes
can be embedded in ITS platforms to provide real-time simulations for learners. This integration enhances practical skills,
supports adaptive learning strategies, and improves the quality of education in engineering and military higher education
institutions. The study demonstrates that such an approach increases students’ comprehension efficiency by 30% and
decreases communication error modeling by up to 25%.
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