生成式AI可个性化定制学习路径，提升教学效果。
The Advancement of Personalized Learning Potentially Accelerated by Generative AI
- 利用生成式AI动态调整学习内容与策略。
- 跨学科应用中学习成效显著优于传统方式。
- 适合教育工作者与自学者快速上手使用。
生成式AI的快速发展正在推动教育领域的革命性变革。个性化学习作为教育研究的核心议题和挑战，也受到生成式AI的深刻影响。本文通过系统分析现有研究，全面探讨生成式AI在个性化学习中的潜力，涵盖学习策略、路径、材料、环境及教学过程的具体应用。研究表明，生成式AI能根据个体需求和偏好提供高度自适应的学习体验，在不同学科中均表现出更优的学习成果。文章总结了生成式AI在教育场景中的适用情况，并提出利用策略，旨在指导教育工作者与学习者有效借助生成式AI实现更高效的学习目标。
原文摘要 · Abstract (English)
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.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。