The Advancement of Personalized Learning Potentially Accelerated by Generative AI
It addresses the challenge of personalized learning in education, offering guidance for educators and learners, but is incremental as it reviews existing research rather than presenting new empirical results.
This study investigates how Generative AI (GAI) can enhance personalized learning by analyzing its applications across learning strategies, paths, materials, and environments, finding that GAI provides adaptive experiences and yields superior learning outcomes in various subjects.
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.