AI-Driven Personalized Learning Systems in K-12 Education
Keywords:
artificial intelligence, personalized learning, K-12 education, machine learning, student outcomesAbstract
This paper examines the application of artificial intelligence (AI) to develop personalized learning systems for K-12 students. By leveraging machine learning algorithms, these systems adapt educational content to the individual needs of students, aiming to improve learning efficiency and outcomes. The study evaluates the efficacy of AI-driven tools through experimental pilot programs in multiple schools, highlighting significant gains in student performance and satisfaction.
References
Кедейбаева, Д. А., & Маматкадырова, Г. (2016). БОЛОЧОК ПЕДАГОГ-БАКАЛАВРЛАРГА МАТЕМАТИКАНЫ КЕСИПКЕ БАГЫТТАП ОКУТУУ МЕНЕН, АЛАРДЫН КЕСИПТИК ИШМЕРДҮҮЛҮКТӨРҮН ӨНҮКТҮРҮҮ СОВЕРШЕНСТВОВАНИЕ ПРОФЕССИОНАЛЬНЫХ КАЧЕСТВ БУДУЩИХ ПЕДАГОГОВ-БАКАЛАВРОВ ПУТЕМ ОБУЧЕНИЯ МАТЕМАТИКЕ, ОРИЕНТИРОВАННОЙ НА ПРОФЕССИЮ. ВЕСТНИК Ошского государственного университета, (3-4), 32-37.
