AI In Educational Marketing: Customizing Learning Experiences To Attract And Retain Students

Abstract

In this paper, the researcher will discuss how Artificial Intelligence (AI) is transforming educational marketing by creating hyper-personalized learning experiences to attract and retain students in a constantly competitive academic world. By using machine learning, recommendation engines, chatbots and data driven segmentation, all institutions are no longer content to merely carry out advertising but are also now able to predict behaviour and tailor content, as well serve learning pathways dynamically. The manuscript entails combined qualitative and quantitative research of 15 colleges in three countries (India, the US, and the UK) that employ surveys, web analytics (CRM) and AI-enhanced engagement tools to measure the effectiveness of personalized online experiences on enrolment and satisfaction. AI tools such as Python-based natural language processing (NLP), clustering algorithms, and neural recommender systems were used to review sentiment analysis, engagement metrics, as well as dropout prediction models. The findings are that personalized learning materials and adaptive feedback cycles lead to a massive rise in both long-term interest and decision to enrol, as chatbot-mediated interaction resulted in a 21 percent conversion increase in leads and adaptive course recommendations led to a 18 percent dropout decrease. It has been concluded that AI is not a mere tool of automation, it is an input strategic to lead the way to custom educational experiences that tighten institutional branding, user devotion and student results.