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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">LNE</journal-id><journal-title-group><journal-title>Lecture Notes in Education, Arts, Management and Social Science</journal-title></journal-title-group><issn>TBA</issn><eissn>2705-053X</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18063/lne.v3i5.1105</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Generative Artificial Intelligence Empowering Personalized Learning: Practical Strategies</title><url>https://artdesignp.com/journal/LNE/3/5/10.18063/lne.v3i5.1105</url><author>ChenBo</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>3</volume><issue>5</issue><history><date date-type="pub"><published-time>2025-06-26</published-time></date></history><abstract>The rapid development of generative artificial intelligence (GenAI) is leading the education sector into a new transformative stage. Ubiquitous intelligent learning spaces, human-machine collaborative educational scenarios, technology-driven shifts in teaching models, transformations in learning methods, and technology-enabled reform of teaching assessment constitute the foundational conditions for GenAI to empower personalized learning. Data-supported precision teaching, human-machine collaborative personalized learning, and system-integrated intelligent assessment form the practical strategies for GenAI to empower personalized learning. GenAI promotes the reform of consistency in teaching, learning, and assessment, becoming a key driving force facilitating personalized learning.</abstract><keywords>Generative Artificial Intelligence (GenAI),Personalized Learning,Practical Strategies</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Lu Y, Yu J, Chen P, 2023, et al. Educational Application and Prospect of Generative Artificial Intelligence: Taking ChatGPT System as an Example. Chinese Journal of Distance Education, 2023, 43(04): 24-31+51.
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