Literaturnachweis - Detailanzeige
| Autor/inn/en | Overton, Michael; Kleinschmit, Stephen |
|---|---|
| Titel | Data Science Literacy: Toward a Philosophy of Accessible and Adaptable Data Science Skill Development in Public Administration Programs |
| Quelle | In: Teaching Public Administration, 40 (2022) 3, S.354-365 (12 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
| Zusatzinformation | ORCID (Overton, Michael) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0144-7394 |
| DOI | 10.1177/01447394211004990 |
| Schlagwörter | Public Administration; Public Administration Education; Data; Information Literacy; Heuristics; Computation; Data Analysis; Curriculum; Research Methodology; Information Technology |
| Abstract | Public administration is struggling to contend with a substantial shift in practice fueled by the accelerating adoption of information technology. New skills, competencies and pedagogies are required by the field to help overcome the data-skills gap. As a means to address these deficiencies, we introduce the Data Science Literacy Framework, a heuristic for incorporating data science principles into public administration programs. The framework suggests that data literacy is the dominant principle underlying a shift in professional practice, accentuated by an understanding of computational science, statistical methodology, and data-adjacent domain knowledge. A combination of new and existing skills meshed into public administration curriculums help implement these principles and advance public administration education. (As Provided). |
| Anmerkungen | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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