Search and Filter

Repository Feedback

Your feedback helps us improve the repository's content relevance and usability. Please share your thoughts to help us better serve researchers and practitioners.

Submit feedback

Submit a research study

Contribute to the repository:

Add a paper

The Advancement of Personalized Learning Potentially Accelerated by Generative AI

Authors
Yuang Wei,
Yuan-Hao Jiang,
Jiayi Liu,
Changyong Qi,
Linzhao Jia,
Rui Jia
Date
Publisher
arXiv
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.
Study at a glance
  • Question: How can generative AI support and enhance different aspects of personalized learning?
  • Setting and data: Not stated in the abstract
  • Method: Literature review
Why it matters

Personalized learning is a focal point and challenge in educational research. As rapid developments in generative AI influence education, its extensive impact and potential to enhance various facets of personalized learning require exploration.

Key findings
  • Across the studies reviewed, generative AI demonstrated strong capabilities in delivering adaptive learning experiences tailored to individual student preferences and needs.
  • Using different forms of generative AI across various academic subjects was linked to superior learning outcomes.
  • Generative AI can personalize several facets of education, including learning strategies, student pathways, instructional materials, and learning environments.

Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.

Who is the user?