生成语法
内容(测量理论)
计算机科学
生成模型
人工智能
心理学
数学
数学分析
作者
Rohit Yadav,Geshwaree Huzooree,Mohit Yadav,Damith Gangodawilage
出处
期刊:Advances in computational intelligence and robotics book series
日期:2025-04-24
卷期号:: 107-130
标识
DOI:10.4018/979-8-3693-8744-3.ch005
摘要
Generative AI has emerged as a transformative force in personalized learning, offering unprecedented opportunities to tailor educational content to individual needs. By leveraging advanced algorithms and data analysis, AI systems can dynamically generate customized materials, provide adaptive feedback, and foster student engagement. This chapter explores the intersection of generative AI and personalized learning, discussing its techniques, tools, and applications in creating immersive and adaptive educational experiences. Key benefits include enhanced learning outcomes, efficiency, and scalability. However, challenges such as data privacy, algorithmic bias, and equitable access must be addressed to ensure responsible implementation. Future trends, including the integration of immersive technologies like Virtual Reality (VR) and predictive analytics, highlight AI's potential to revolutionize education. By navigating ethical considerations and fostering transparency, generative AI can become a powerful ally in creating inclusive, engaging, and student-centered learning environments.
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