چکیده مقاله
The integration of Artificial Intelligence AI in educational systems presents transformative potential for personalized learning experiences, particularly in adaptive educational systems designed for children with diverse learning styles This study delves into the multifaceted role of AI in identifying, assessing, and addressing varying learning preferences, emphasizing the synergy between AI algorithms and educational psychology frameworks By leveraging AI driven data analytics, adaptive learning platforms can dynamically adjust content delivery based on auditory, visual, and kinesthetic learning modalities, thereby enhancing educational outcomes and engagement The proposed model not only highlights the technical aspects of AI integration but also incorporates psychological principles to ensure that adaptive systems are developmentally appropriate and inclusive Furthermore, the study includes a comprehensive review of existing literature, presenting key case studies that exemplify successful implementation of AI enhanced learning systems in diverse educational settings We also examine potential challenges related to data privacy, algorithmic bias, and the ethical implications of deploying AI for child centered learning The findings underscore the critical importance of aligning AI applications with established educational psychology theories to foster adaptive learning environments that are both effective and ethically responsible
کلیدواژهها
نویسندگان
Forough Jalali Alvar
Master's Degree in Educational Psychology
شیوه ارجاع
Jalali Alvar, Forough,1404,Using artificial intelligence to design adaptive educational systems for children with diverse learning styles,23nd international conference of Modern Research in psychology, counseling and Educational sciences,Tehran
ارائهشده در
مجموعه مقالات بیست و سومین کنفرانس بین المللی پژوهش در روانشناسی، مشاوره و علوم تربیتی24 مرداد 1404 · تهران