Adapting Teaching Methods to VARK and Multiple Intelligence Models in Modern Education

Abstract

In recent years, the rapid advancement of educational technologies has emphasized the need to adapt teaching methods to diverse learning styles. This paper examines the integration of Neil Fleming’s VARK model and Howard Gardner’s Theory of Multiple Intelligences with modern educational technology, particularly focusing on adaptive learning systems. These technologies, driven by artificial intelligence (AI), machine learning (ML), and natural language processing (NLP), enable personalized learning experiences that cater to individual student needs. The paper also explores David Kolb’s Experiential Learning Cycle in the context of digital learning platforms, highlighting how these technologies improve student engagement and performance by dynamically adjusting instructional materials. Recent research on adaptive learning, including its impact on classroom management and personalized learning paths, underscores its potential to revolutionize education.