ENHANCING STUDENTS' LEARNING EFFICIENCY THROUGH ARTIFICIAL INTELLIGENCE
Keywords:
Artificial Intelligence, Education Technology, Personalized Learning, Learning Analytics, Intelligent Tutoring Systems, AI in AssessmentAbstract
The integration of Artificial Intelligence (AI) in education is transforming traditional learning methodologies by enabling personalized instruction, data-driven decision-making, and intelligent assessment tools. This paper presents an in-depth analysis of AI’s role in improving students’ academic performance through adaptive learning systems, intelligent tutoring, automated grading, and learning analytics. Recent studies indicate that AI-powered learning platforms can enhance students’ retention rates by up to 25% and improve personalized learning efficiency by 30%. Additionally, AI-based predictive analytics can reduce student dropout rates by identifying at-risk learners with 85% accuracy. Despite these advancements, challenges such as data privacy, algorithmic bias, and teacher adaptation to AI-based tools remain critical concerns. This paper discusses these aspects in detail and explores the future prospects of AI-driven education.
References
EdTech Magazine. (2023). How AI is transforming grading and assessment in education.
Harvard Education Review. (2023). Virtual reality in education: The next frontier of learning engagement.
Ogli, O. K. H. (2024). ENHANCING STUDENT LEARNING OUTCOMES THROUGH AI-ASSISTED EDUCATION. QISHLOQ XO'JALIGI VA GEOGRAFIYA FANLARI ILMIY JURNALI, 2(5), 57-63.
Ogli, O. K. H. (2024). PYTHON AND THE EVOLUTION OF PROGRAMMING PARADIGMS: A DEEP DIVE INTO VERSATILITY. WORLD OF SCIENCE, 7(12), 49-55.
Ogli, O. K. H. (2024). PYTHON’S ROLE IN REVOLUTIONIZING AUTOMATION AND WORKFLOW OPTIMIZATION. BIOLOGIYA VA KIMYO FANLARI ILMIY JURNALI, 1(10), 33-38.
Ogli, O. K. H. (2024). PYTHON AND ARTIFICIAL INTELLIGENCE: REVOLUTIONIZING DECISION-MAKING IN MODERN SYSTEMS. WORLD OF SCIENCE, 7(12), 56-61.
