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Ergebnis der Suche nach: "Machine Learning"
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Link zu diesem Datensatz | https://d-nb.info/1358193436 |
Titel | Applying Machine Learning in Science Education Research : When, How, and Why? / edited by Peter Wulff, Marcus Kubsch, Christina Krist |
Person(en) |
Wulff, Peter (Herausgeber) Kubsch, Marcus (Herausgeber) Krist, Christina (Herausgeber) |
Organisation(en) | SpringerLink (Online service) (Sonstige) |
Ausgabe | 1st ed. 2025 |
Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
Zeitliche Einordnung | Erscheinungsdatum: 2025 |
Umfang/Format | Online-Ressource, XIII, 369 p. 57 illus., 38 illus. in color. : online resource. |
Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-74226-2 Printed edition:: ISBN: 978-3-031-74228-6 Printed edition:: ISBN: 978-3-031-74229-3 |
Inhalt | Introduction -- Part I:Theoretical background -- Basics of machine learning -- Data in science education research -- Applying supervised ML -- Applying unsupervised ML -- Sequencing unsupervised and supervised ML -- Natural language processing and large language models -- Human-machine interactions in machine learning modeling: The role of theory -- Part II:Hands-on case studies.-Working with data getting started -- Automation Supervised Machine Learning -- Pattern Recognition – Unsupervised Machine Learning -- Automation and explainability: Supervised machine learning with text data -- Unsupervised ML with language data -- Unsupervised ML with text data -- Triangulating Computational and Qualitative Methods to Measure Scientific Uncertainty -- Part III:Future directions -- Risks and ethical considerations in the context of machine learning research in science education -- Future directions -- Conclusions |
Persistent Identifier |
URN: urn:nbn:de:101:1-2503010308155.242679256065 DOI: 10.1007/978-3-031-74227-9 |
URL | https://doi.org/10.1007/978-3-031-74227-9 |
ISBN/Einband/Preis | 978-3-031-74227-9 |
Sprache(n) | Englisch (eng) |
Beziehungen | Springer Texts in Education |
Sachgruppe(n) | 370 Erziehung, Schul- und Bildungswesen |
Online-Zugriff | Archivobjekt öffnen |
