混合教学模式的优化:AI技术的应用与效果评估
Application and Effect Evaluation of Al Technology in Blended Teaching Modes
刘燕1
作者信息
- 1. 石河子大学经济与管理学院 新疆 石河子 832003
- 折叠
摘要
在当前科技快速发展的时代,人工智能已成为教育领域中重要的推动力量.文章采用潜在狄利克雷分配(LDA)方法进行文本挖掘与分析,深入探讨了人工智能在教育中的广泛应用及其对混合教学模式的优化作用.结果发现:人工智能为教育提供了个性化力量;高校可以利用人工智能技术优化学科结构,调整培养体系,以培养创新型人才;人工智能与教育的深度协同实现了教育管理机制的创新;人工智能技术促进了教学效率的提升、教育资源的公平分配以及教育资源的全球共享.教育者应平衡技术与人机互动,以培养更多适应未来发展的高素质人才.
Abstract
In the current era of rapid technological development,artificial intelligence has become an important driving force in the field of education.This article uses the latent Dirichlet allocation(LDA)method for text mining and analysis,and explores in depth the widespread application of artificial intelligence in education and its optimization effect on blended learning models.The results showed that artificial intelligence provides personalized power for education;Universities can use artificial intelligence technology to optimize their disciplinary structure,adjust their training system,and cultivate innovative talents;Promote the deep collaboration between artificial intelligence and education,and achieve innovation in education management mechanisms;Artificial intelligence technology has promoted the improvement of teaching efficiency,fair distribution of educational resources,and global sharing of educational resources.Educators should balance technology and human-computer interaction to cultivate more high-quality talents who can adapt to future development.
关键词
人工智能/混合教学/教育改革/个性化教育Key words
artificial intelligence/blended teaching/educational reform/personalized education引用本文复制引用
出版年
2024
NETL
NSTL
万方数据