What should we teach? A human‐centered data science graduate curriculum model design for iField schools.
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, infor...
| Publicado en: | Journal of the Association for Information Science & Technology Vol. 74; no. 6; pp. 623 - 641 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Jun2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=163488685&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 163488685 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23301635 H6JN jtl: Journal of the Association for Information Science & Technology issn: 23301635 maglogo: N pubinfo: dt: Jun2023 vid: 74 iid: 6 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 163488685 155948437 163488685 163488685 10.1002/asi.24644 163488685 ppf: 623 ppct: 18 formats: tig: atl: What should we teach? A human‐centered data science graduate curriculum model design for iField schools. aug: au: Wu, Dan Xu, Hao Sun, Yaqi Lv, Siyu affil: School of Information Management, Wuhan University, Wuhan, China sug: subj: Data Science Education Education, Graduate Models, Educational Methods Curriculum Development Information Technology Education Human Multimethod Studies Content Analysis Professional Competence Course Content Outcomes of Education Cluster Analysis Funding Source ab: 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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