چکیده مقاله
The rapid evolution of digital technology in education has necessitated a structural shift from traditional, uniform teaching methods to personalized learning environments In the field of English Language Teaching ELT , learners often face challenges such as cognitive overload and choice paralysis due to a lack of tailored instructional materials that align with their cognitive profiles This research explores the development of an AI driven recommender system designed to curate personalized learning paths based on individual learning styles, such as the VARK model The primary objective is to establish a conceptual framework that leverages artificial intelligence to bridge the gap between cognitive psychology and adaptive language pedagogy Adopting a qualitative, descriptive, and library based methodology, this study synthesizes state of the art literature from both international and domestic academic databases, including IEEE Xplore, Scopus, SID, and Civilica The analysis focuses on the integration of hybrid recommendation algorithms—combining content based and collaborative filtering—to dynamically sequence educational resources The findings indicate that an AI driven approach significantly optimizes the language acquisition process by delivering content that aligns with the learner’s visual, auditory, or kinesthetic preferences By continuously updating learner profiles through feedback loops, the proposed system ensures that the pedagogical trajectory remains within the student’s Zone of Proximal Development Ultimately, this research concludes that the synergy between AI recommender systems and cognitive profiling is essential for the future of autonomous language learning, providing a robust theoretical blueprint for educational technology developers and institutions aiming to implement next generation, adaptive English language instruction
کلیدواژهها
نویسندگان
مهدی یاراحمدی
PhD in Islamic History, Islamic Azad University, Science and Research Branch, Tehran, Iran my۱۹۸۰۱۲۱۸@gmail.com
Mohammadparsa Daneshvar
M A in English Language Teaching ELT Islamic Azad University, Science and Research Branch, Tehran Iran
شیوه ارجاع
Daneshvar, Mohammadparsa,1405,Development of an AI-Driven Recommender System for Personalized English Language Learning Paths Based on Individual Learning Styles,24th National Conference on Management Research and Humanities in Iran,Tehran
ارائهشده در
مجموعه مقالات بیست و چهارمین همایش ملی پژوهش های مدیریت و علوم انسانی در ایران31 خرداد 1405 · تهران