Revolutionizing Education Through Personalized Pedagogy and Machine Learning Algorithms

Abstract

The combination of innovative pedagogy and machine learning algorithms presents transformative possibilities in the age of individualized education. This chapter explores the process of creating machine learning-enhanced personalized learning scenarios. It also looks at how intelligent pedagogy is built on the careful selection of learner activities, appropriate pedagogical approaches, and objectives. This chapter also includes a thoughtful case study that illustrates how these ideas are applied in the actual world. It has been demonstrated that the use of machine learning algorithms transforms remediation, assessment, and feedback while promoting a dynamic and adaptable learning environment. Through analyzing the effective application of machine learning in a real-world setting, teachers can acquire important knowledge about how to use these tools to maximize learning outcomes and give students more agency.