美国一流大学本科数据科学教育体系——建设路径、体系特征与发展趋势

doi:10.13266/j.issn.0252-3116.2022.08.014

图书情报工作 ›› 2022, Vol. 66 ›› Issue (8): 134-143.DOI: 10.13266/j.issn.0252-3116.2022.08.014

美国一流大学本科数据科学教育体系——建设路径、体系特征与发展趋势

孙迟瑶¹, 刘继安², 徐艳茹²

1. 中国科学院大学中丹学院, 北京 100190;
2. 中国科学院大学公共政策与管理学院, 北京 100049

收稿日期:2021-10-25 修回日期:2021-12-26 出版日期:2022-04-30 发布日期:2022-04-24
通讯作者: 刘继安,办公室主任,教授,博士,通信作者,E-mail:jian.liu@ucas.ac.cn。
作者简介:孙迟瑶,硕士研究生;徐艳茹,特别研究助理,博士后。
基金资助:
本文系国家社会科学基金教育科学"十三五"规划一般课题(项目编号:BIA170171)研究成果之一。

Undergraduate Data Science Education System of American World-Class Universities: the Construction Path, System Characteristics and Development Trend

Sun Chiyao¹, Liu Ji'an², Xu Yanru²

1. Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100190;
2. School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049

Received:2021-10-25 Revised:2021-12-26 Online:2022-04-30 Published:2022-04-24

摘要/Abstract

摘要： [目的/意义]快速发展的数字化社会面临着数据科学专门人才和具备数据素养的其他人才的巨大缺口,而本科教育是培养学生数据意识、锻炼相关技能、培养复合型人才的关键阶段。美国一流大学本科阶段的数据科学教育起步相对较早,对我国具有一定的启示借鉴意义。[方法/过程]通过梳理学校官网信息、美国官方报告和相应文献,对美国多所一流大学实践情况进行案例分析,总结案例高校数据科学本科教育的建设路径、体系特征和发展趋势。[结果/结论]美国案例高校已经初步形成涵盖通识教育、专业教育和补充课程的本科数据科学教育生态体系,具有通专结合、多学科交叉、理实融通、开放协同的体系特征,并呈现向整合课程体系、灵活共享平台、规范化评估系统发展的趋势。美国一流大学本科生数据科学教育项目的实践对我国具有一定的参考价值。

关键词: 大数据, 美国一流大学, 本科生, 数据科学, 人才培养

Abstract: [Purpose/Significance] Rapid-growing digital society is facing severe shortage of data science professionals and other talents with digital literacy. Undergraduate education is the crucial stage to cultivate students’ data awareness, train their relevant skills, and cultivate interdisciplinary talents. The undergraduate data science education in American world-class universities started relatively early, which has certain enlightenments and references for China. [Method/Process] By combing the school’s official website information, American official reports and corresponding documents, this paper made a case analysis on the practice of many world-class universities in America, and summarized the construction path, system characteristics and development trend of data science undergraduate education in case universities. [Result/Conclusion] Case universities in America have initially formed an undergraduate data science education ecosystem covering general education, professional education, and supplementary courses. It has the system characteristics of combination of general education and specialized education, interdisciplinary intersection, integration of theory and practice, and openness and coordination, and presents a development trend towards integrated curriculum system, flexible sharing platform and standardized evaluation system. The practice of undergraduate data science education project in American world-class universities has a certain reference value for China.

Key words: big data, American world-class universities, undergraduate, data science, talents cultivation

中图分类号:

G642
G649

孙迟瑶, 刘继安, 徐艳茹. 美国一流大学本科数据科学教育体系——建设路径、体系特征与发展趋势[J]. 图书情报工作, 2022, 66(8): 134-143.

Sun Chiyao, Liu Ji'an, Xu Yanru. Undergraduate Data Science Education System of American World-Class Universities: the Construction Path, System Characteristics and Development Trend[J]. Library and Information Service, 2022, 66(8): 134-143.

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美国一流大学本科数据科学教育体系——建设路径、体系特征与发展趋势

Undergraduate Data Science Education System of American World-Class Universities: the Construction Path, System Characteristics and Development Trend

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