THE ROLE OF BIG DATA AND ARTIFICIAL INTELLIGENCE IN ADAPTIVE EDUCATION SYSTEMS

Аннотация

This thesis analyzes the role of modern digital technologies, particularly big data and artificial intelligence (AI) technologies, in the development of adaptive educational systems and their potential to enhance effectiveness. Big data and artificial intelligence approaches are emerging as crucial tools for personalizing the educational process, assessing students' knowledge levels, and creating educational content tailored to their needs. The work outlines the conceptual model of adaptive education systems and explores the possibilities of determining individual development paths for students through the use of artificial intelligence algorithms - specifically, machine learning, natural language processing, and recommendation systems. Additionally, it examines the optimization of decision-making mechanisms in education based on big data and the potential for real-time analysis. The research results have scientific and practical significance in the development of adaptive educational platforms and the implementation of innovative approaches in the field of digital pedagogy. Keywords: Big data, artificial intelligence, adaptive learning, digital pedagogy, machine learning, educational technologies, personalized teaching, recommendation systems, analytics in education, automation of the learning process. KATTA MA’LUMOTLAR VA SUN’IY INTELLEKTNING ADAPTIV TA’LIM TIZIMIDAGI O‘RNI Annotatsiya. Ushbu tezisda zamonaviy raqamli texnologiyalar, xususan, katta ma’lumotlar (Big Data) va sun’iy intellekt (SI) texnologiyalarining adaptiv ta’lim tizimlarini rivojlantirishdagi o‘rni hamda ularning samaradorligini oshirishdagi imkoniyatlari tahlil qilinadi. Ta’lim jarayonini shaxsiylashtirish, talabalarning bilim darajasini aniqlash va ularning ehtiyojlariga mos o‘quv kontentini shakllantirishda katta ma’lumotlar va sun’iy intellekt yondashuvlari muhim vosita sifatida namoyon bo‘lmoqda. Ishda adaptiv ta’lim tizimlarining konseptual modeli, sun’iy intellekt algoritmlaridan – xususan, mashinaviy o‘rganish, tabiiy tilni qayta ishlash va tavsiya tizimlaridan – foydalanish orqali o‘quvchilarning individual rivojlanish yo‘nalishlarini aniqlash imkoniyatlari yoritilgan. Shuningdek, katta ma’lumotlar asosida ta’limdagi qaror qabul qilish mexanizmlarining optimallashtirilishi hamda real vaqtda tahlil qilish imkoniyatlari ko‘rib chiqilgan. Tadqiqot natijalari adaptiv ta’lim platformalarini ishlab chiqishda hamda raqamli pedagogika sohasida innovatsion yondashuvlarni amaliyotga tadbiq etishda ilmiy va amaliy ahamiyatga ega. Kalit so‘zlar: katta ma’lumotlar, sun’iy intellekt, adaptiv ta’lim, raqamli pedagogika, mashinaviy o‘rganish, ta’lim texnologiyalari, shaxsiylashtirilgan o‘qitish, tavsiya tizimlari, ta’limdagi analitika, o‘quv jarayonini avtomatlashtirish. 66 ILM-FAN VA INNOVATSIYA ILMIY-AMALIY KONFERENSIYASI in-academy.uz/index.php/si Introduction. In the 21st century, information technologies have been developing at a rapid pace, deeply penetrating almost all spheres of human activity. In particular, the education system has become one of the primary focus areas for digitalization processes. In the course of digital transformation, the significance of big data and artificial intelligence technologies is steadily increasing. These technologies are creating opportunities to tailor the educational process to individual needs, accurately assess students' knowledge levels, monitor learning activities, and make effective pedagogical decisions. Adaptive learning systems are modern educational environments that dynamically adjust learning content based on the user's behavior, interests, and knowledge level. In effectively organizing such systems, big data analysis and artificial intelligence algorithms play a crucial role. Specifically, methods such as machine learning, natural language processing, and predictive analytics provide the foundation for conducting in-depth analysis of the educational process and implementing personalized learning approaches. The relevance of this research lies in its development of scientific and theoretical foundations for implementing adaptive approaches based on artificial intelligence and big data in the modern education system, as well as its assessment of the effectiveness of integrating these technologies into the learning process. Analysis shows that the effective use of big data has a significant positive impact on the quality and outcomes of education. According to observations provided by Computools, organizations that have implemented Big Data technologies in education have seen an increase in student achievement. This is because the educational process has been tailored to meet the needs of each student, resource utilization has been optimized, and timely pedagogical interventions have been implemented [1]. Through the use of big data, teachers can refine their teaching methods. By relying on the data, they can identify which methods are most effective and adjust their pedagogical strategies a