Wu, D., Xu, H., Sun, Y., & Lv, S. (2022). What should we teach? A human-centered data science graduate curriculum model design for iField schools. Journal of the Association for Information Science and Technology, 1– 18. https://doi.org/10.1002/asi.24644

Abstract

The information schools, also referred to as iField schools, are leaders in data science education. This study aims to develop a data science graduate curriculum model from an information science perspective to support iField schools in developing data science graduate education. In June 2020, information about 96 data science graduate programs from iField schools worldwide was collected and analyzed using a mixed research method based on inductive content analysis. A wide range of data science competencies and skills development and 12 knowledge topics covered by the curriculum were obtained. The humanistic model is further taken as the theoretical and methodological basis for course model construction, and 12 course knowledge topics are reconstructed into 4 course modules, including (a) data-driven methods and techniques; (b) domain knowledge; (c) legal, moral, and ethical aspects of data; and (d) shaping and developing personal traits, and human-centered data science graduate curriculum model is formed. At the end of the study, the wide application prospect of this model is discussed.

摘要

信息学院，也称为 iField Schools，是数据科学教育领域的领导者。 本研究旨在从信息科学的角度开发数据科学研究生课程模型，以支持信息学院开展数据科学研究生教育。 2020 年 6 月，本研究基于归纳性内容分析的混合研究方法收集和分析了来自全球信息学院的 96 个数据科学研究生项目的信息， 广泛获得了数据科学能力和技能发展以及课程涵盖的12个知识主题。研究进一步将人文模型作为课程模型构建的理论和方法基础，将12个课程知识主题重构为4个课程模块，包括（a）数据驱动的方法和技术； (b) 领域知识； (c) 数据的法律、道德和伦理； (d) 塑造和发展个人特质，形成以人为本的数据科学研究生课程模式。本研究最后讨论了该模型的广泛应用前景。