- 中图分类号: G4
- 语种: ENG
- 出版信息: IGI Global 2025 698页
- EISBN: 9798369373347
- PISBN-P: 9798369373323
- 原文访问地址:
KG评星
知识图谱评星,是一种基于用户使用的评价体系,综合图书的评论数量、引文数量、Amazon评分以及图谱网络中节点的PageRank值(即考虑相邻节点数量和重要性)等多种因素计算而得出的评价数值。星级越高,推荐值越高。CAT核心级
核心学术资源(CAR)项目作为教图公司推出的一项知识型服务,旨在打造一套科学、有效的图书评价体系,并协助用户制定相应的馆藏建设方案。CAR项目调查和分析12所世界一流大学的藏书数据,以收藏学校的数量确定书目的核心级,核心级越高,代表书目的馆藏价值越高。选取核心级在三级以上,即三校以上共藏的图书作为核心书目(CAT)。By creating specific prompts, educators can harness the power of AI models to generate tailored content, provide instant feedback, and simulate real-world scenarios for deeper learning engagement. Whether it's creating personalized lesson plans, generating creative writing prompts, or assisting with problem-solving exercises, generative AI creates an interactive approach to education. As AI evolves, its potential to support both educators and students in more efficient, adaptive, and inclusive ways may transform the future of learning. Prompt Engineering and Generative AI Applications for Teaching and Learning explores generative AI’s impact on education, navigating the complexities of its integration into teaching and learning strategies. It examines the complex dynamics between AI technology and educational methodologies, offering new perspectives on personalized education, the art of prompt engineering skills, and the role of generative AI in research. This book covers topics such as ethics and law, higher education, and personalized learning, and is a useful resource for academicians, researchers, computer engineers, and data scientists.