首页|AI+个性化教学:赋能路径、现实困境及未来展望

AI+个性化教学:赋能路径、现实困境及未来展望

AI+Personalized Teaching:Empowerment Pathways,Current Challenges,and Future Prospects

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人工智能技术正在点燃教育的第四次革命,目标是解决规模化教育与个性化培养的根本矛盾,最终实现"先进的个性化学习".其赋能路径包括支撑个性化学习路径智能生成与推荐的数据捕捉策略、相关教学支架个性化的打包与前置途径、可实现个别化实时反馈的智能助教系统构建方案及新技术支持下的个性化教学模式的创构与实践.但是,当前人工智能教育在工具与伦理之博弈、迎合与强化之利弊、算法与数据之偏颇、信息茧房与自主性之权衡、技术冗余与思维惰化等方面也面临现实困境.未来,新技术可能带来AI+个性化教学的模式创新.
Artificial intelligence technology is igniting the fourth revolution in education,with the goal of solving the fundamental contradiction between large-scale education and personalized training,and ultimately achieving advanced personalized learning.The empowerment path includes data capture strategies that support the intelligent generation and recommendation of personalized learning paths,personalized packaging and preposition methods for related teaching scaffolds,construction plans for intelligent teaching assistant systems that can achieve personalized real-time feedback,and the creation and practice of personalized teaching models supported by new technologies.However,current application of artificial intelligence in education also faces practical challenges in areas such as safety ethics,information cocoons,lazy thinking,catering reinforcement,and algorithmic black boxes.In the future,new technologies may bring innovative AI+personalized teaching models.

artificial intelligencepersonalized teachingempowerment path

周迎春

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江苏省苏州市吴江区鲈乡实验小学

江苏省首届网络名师工作室

江苏省第五届乡村骨干教师培育站

江苏省人工智能教育专委会(江苏苏州215200)

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人工智能 个性化教学 赋能路径

江苏省教育科学"十四五"规划2021年度课题

D/2021/02/778

2024

创新人才教育

创新人才教育

CHSSCD
影响因子:0.24
ISSN:
年,卷(期):2024.(4)