The Advancement of Personalized Learning Potentially Accelerated by Generative AI

TL;DR

This paper explores how Generative AI can significantly enhance personalized learning by providing adaptive, tailored educational experiences, leading to improved outcomes across diverse subjects and educational contexts.

Contribution

It offers a comprehensive analysis of GAI's impact on personalized learning, highlighting its capabilities and proposing strategies for effective integration in education.

Findings

GAI enables adaptive, personalized learning experiences.

Use of GAI across subjects improves learning outcomes.

Strategies for leveraging GAI in education are discussed.

Abstract

The rapid development of Generative AI (GAI) has sparked revolutionary changes across various aspects of education. Personalized learning, a focal point and challenge in educational research, has also been influenced by the development of GAI. To explore GAI's extensive impact on personalized learning, this study investigates its potential to enhance various facets of personalized learning through a thorough analysis of existing research. The research comprehensively examines GAI's influence on personalized learning by analyzing its application across different methodologies and contexts, including learning strategies, paths, materials, environments, and specific analyses within the teaching and learning processes. Through this in-depth investigation, we find that GAI demonstrates exceptional capabilities in providing adaptive learning experiences tailored to individual preferences and needs. Utilizing different forms of GAI across various subjects yields superior learning outcomes. The article concludes by summarizing scenarios where GAI is applicable in educational processes and discussing strategies for leveraging GAI to enhance personalized learning, aiming to guide educators and learners in effectively utilizing GAI to achieve superior learning objectives.