科研成果 by Type: 图书

This book examines language and communication in a novel area of digital health. Situating itself within the sociocultural paradigm of literacy research, the book proposes a discourse-oriented approach to genetic literacy and applies it to the study of public engagement with direct-to-consumer (DTC) genetic testing—an emergent biotechnology operating at the intersection of personal genomics, consumer culture, and online health. The author draws on a rich dataset comprising marketing materials from a leading genetic company in China, interviews with genetic test users, and online forum interactions involving consumers and members of the genetic company. Using in-depth analyses of authentic discourse data, the book examines how key stakeholders in DTC genetic testing discursively construct and negotiate socially situated knowledges about genetics and health to pursue a range of interactional goals. Challenging the static and cognitive view of genetic literacy as a set of decontextualised knowledge and skills in scientific and medical fields, this book argues for a reconceptualisation of genetic literacy as a dynamic and socially situated discursive practice. Building on key insights from medical sociology, the author discusses genetic literacy within the context of broader societal shifts, including the biomedicalisation of health and the rise of neoliberal ideologies and practices in contemporary healthcare. Written in a clear and accessible style, this book will appeal to researchers and students working in the areas of sociolinguistics, discourse analysis, and health communication. It will also be of particular interest to practitioners in genetics and health, as well as members of the general public seeking to understand the social aspects of public engagement with genetics and health.

This book analyzes the wealth management of mid-high net worth individuals and families. As China's economy develops and people's living standards improve, more and more families are becoming well-off and the middle-income group continues to expand. After creating wealth and becoming rich, better guarding, spreading and enjoying wealth is not only an urgent challenge faced by more and more micro-families, but also an inevitable need to enrich and energize people's livelihood and the connotation of a good life. Mid-high net worth people are an organic part of China's middle-income group, as well as the future coordinates of many families that have just crossed into the middle-income group. An accurate portrait of this group and an in-depth study of the needs, habits, ways and effects of their family wealth management and distribution are conducive to better responding to the demands of affluent families to "keep, pass on and enjoy wealth," as well as exploring the path of solidly promoting common prosperity at the micro-family level. From this perspective, Institute of Social Science Survey of Peking University has conducted a panoramic analysis on mid-high net worth people from panel survey with more 16,000 households in China after 10 years of tracking and investigation, from six aspects: behavioral patterns, financial asset allocation, non-financial asset allocation, commercial insurance allocation, children's commercial medical insurance allocation and pension insurance allocation, the importance of which is self-evident. As the first systematic work on asset allocation and insurance protection of Chinese middle and high net worth families, although part of the purpose is to explore the demand for insurance protection and develop the commercial insurance market, there is no doubt that this study is an important reference for the government to formulate social security policies and for financial institutions to optimize the supply of family wealth services.

人工智能前沿技术与教育实践紧密结合，促进教育□革，实证研究证明了其显著效果。作者总结30多年来将人工智能应用于教育的经验教训，并结合为北京大学和德国慕尼黑工业大学所开设的教育和人工智能课程内容，撰写了本书。每一章包括：内容提要、学习目标、关键词、正文、本章小结、思考和练习题。方便读者按照步骤学习。全书多个案例呈现人工智能在教育中的应用和研发过程，便于读者阅读和学习。 在教育技术、信息技术教育、人工智能及其他相关学科中，人工智能与教育的关系都是一个重要研究领域，也是应该为本科生和研究生开设的一门重要课程。笔者总结1990年以来从事人工智能研究、1994年以来从事计算机教育、2000年以来将人工智能应用于教育的经验教训，并结合为北京大学和德国慕尼黑工业大学所开设的教育和人工智能课程内容，撰写了本书。全书包括14章。为便于学习新知和复习巩固已学内容，每一章包括：内容提要、学习目标、关键词、正文、本章小结、思考和练习题。第1章深入阐述教育与人工智能的关系，第2～8章介绍人工智能重要研究领域的基本知识、□□进展、常用软件，特别是他们在教育领域应用的实证研究成果，依次包括知识工程、数据挖掘、自然语言处理、模式识别、机器人、艺术创作、自动程序设计。第9章详细介绍智能教学系统。第10章介绍智能教学系统中学生模型的一个要素学习风格及其在个性化教学中的应用。第11章介绍人工智能在英语教学中的应用，即笔者团队研发的英语智能教学系统希赛可。第12章介绍人工智能在数学教学中的应用，即笔者团队研发的数学智能教学系统MIATS V2.0。第13章介绍笔者团队完成的一项人工智能编程教育对创新思维培养影响的实证研究，第14章介绍笔者团队研发的半自动化课堂视频师生行为分析系统及其应用案例。本书介绍的研究将人工智能前沿技术与教育实践紧密结合，促进教育□革，实证研究证明了其显著效果。本书可以作为教育技术学和相关学科的教学参考书，供师生使用；还可作为中小学教师人工智能等相关知识的培训教材；更能为教育技术类企业的系统设计和开发提供借鉴；更能为教育技术资源和设备管理（电教工作）、教育技术类企业的系统设计和开发等提供参考借鉴。

      国家科技情报体系能力是运用体系观念对情报能力做出的解读，最终通过在情报工作和情报成果中的运用表现出来。在情报工作的任务情境中表现为实现“全谱扫描、敏锐研判、前瞻预警、醒早眺远”的情报体系感知、刻画和响应能力；在情报成果中体现为将上述能力融入国家科技项目管理和创新研发过程中的每一个环节，在“追赶答疑、跨越选评、覆盖前瞻和引领预警”等方面发挥出对国家科技决策的保障作用。