Literaturnachweis - Detailanzeige
| Autor/inn/en | Fleischer, Yannik; Biehler, Rolf; Schulte, Carsten |
|---|---|
| Titel | Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks |
| Quelle | In: Statistics Education Research Journal, 21 (2022) 2, Artikel 7 (25 Seiten)
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1570-1824 |
| Schlagwörter | Statistics Education; Educational Research; Electronic Learning; Secondary School Students; Data Analysis; Computer Software; Computation; Essays; Models; Teaching Methods; Programming Languages; Decision Making |
| Abstract | This study examines modelling with machine learning. In the context of a yearlong data science course, the study explores how upper secondary students apply machine learning with Jupyter Notebooks and document the modelling process as a computational essay incorporating the different steps of the CRISP-DM cycle. The students' work is based on a teaching module about decision trees in machine learning and a worked example of such a modelling process. The study outlines the students' performance in carrying out the machine learning technically and reasoning about bias in the data, different data preparation steps, the application context, and the resulting decision model. Furthermore, the context of the study and the theoretical backgrounds are presented. (As Provided). |
| Anmerkungen | International Association for Statistical Education and the International Statistical Institute. PO Box 24070, 2490 AB The Hague, The Netherlands. Tel: +31-70-3375737; Fax: +31-70-3860025; e-mail: isi@cbs.nl; Web site: https://iase-web.org/ojs/SERJ |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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