Developing an adaptive learning platform based on artificial intelligence (AI) to personalize the learning experience

Abstract

This study explores the development and user experience of an artificial intelligence (AI)-based adaptive learning platform to personalize the learning experience. The main objective of the study is to elucidate the factors that influence the success of platform implementation and evaluate its impact on learning personalization. Through qualitative research methods, including in-depth interviews, observations, and document analysis, data was collected from stakeholders such as developers, teachers, and students. The results show that close collaboration between technology, education, and user experience design experts is a key factor in platform development. Users appreciated the platform's personalization and interactivity, and pointed out some areas for improvement. This research makes an important contribution to expanding understanding of the development and deployment of AI-based adaptive learning platforms, as well as its impact on personalization of learning experiences. The research results provide practical suggestions for applying AI in education and provide direction for future research in this field.