СЪДЪРЖАНИЕ
- Н. Делийски, Л. Дзуренда, Д. Ангелски, П. Вичев, К. Атанасова. Изчисляване на енергийния разход и КПД на бетонни ями при проваряване на трупи за производството на фурнир
- Т. Радева, Използване на фотоволтаична енергия за собствени нужди за Образователен център за извънкласни дейности и култура
- обучение и квалификация
M. Хаджийски, Р. Калтенборн, Персонализирано обучение на базата на изкуствен интелект като предизвикателство за съвременните образователни системи - Клуб САИ през 2023 г.
Key Words: Personalized learning in education; evolution of modern personalized education; potential possibilities of personalized learning systems; possible ways to implement effective personalized training; artificial intelligence.
Abstract. The article provides a critical analysis of the achievements and insufficiently convincing results of the multi-year attempts to introduce personalized education in educational structures of different types. The evolution of personalized learning systems with varying degrees of student involvement in the functioning of the system is discussed. The great potential possibilities of personalized learning systems emphasizing the active role of students are discussed. Two variants of metastructures have been developed for the implementation of personalized training – component and functional. The main dimensions within which personalized learning systems can be treated with a view to determining their weights in multifactor optimization are derived. Possible ways to implement effective personalized training are analyzed. The notion that personalized learning can meet the challenges of the time is substantiated if it is treated as a holistic problem with a large dimension, with student-centered functioning, with finding an optimal combination of algorithms, applications and procedures in technological implementation, with a new level of competence of teachers and students in the field of artificial intelligence, with direct corporate interest for a long time horizon.
