Publikation:

GeNIUS: Conditions for Successfully Teaching Computer Science Infused Natural Science Classes in Schools

Vorschaubild

Dateien

Yanakieva_2-hmltym7fmde39.pdf
Yanakieva_2-hmltym7fmde39.pdfGröße: 291.11 KBDownloads: 0

Datum

2023

Autor:innen

Elena Yanakieva
Bieniusa, Annette
Becka, Thomas

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

URI (zitierfähiger Link)
http://nbn-resolving.de/urn:nbn:de:bsz:352-2-hmltym7fmde39
DOI (zitierfähiger Link)
https://doi.org/10.5281/zenodo.8432002
ArXiv-ID

Internationale Patentnummer

Link zur Lizenz
Urheberrechtlich geschützt

Angaben zur Forschungsförderung

Institutionen der Bundesrepublik Deutschland: 16MF1011A
Institutionen der Bundesrepublik Deutschland: 16MF1011B

Projekt

Verbundprojekt: Gelingensbedingungen für den Naturwissenschaftlich-Informatischen Unterricht in Schulen - GeNIUS
Open Access-Veröffentlichung
Open Access Bookpart

Sammlungen

Informatik und Informationswissenschaft: Publikationen
Chemie: Publikationen
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

PELLET, Jean-Philippe, Hrsg., Gabriel PARRIAUX, Hrsg.. Informatics in Schools : ISSEP 2023 Local Proceedings. Geneva, Switzerland: Zenodo, 2023, S. 203-206. Verfügbar unter: doi: 10.5281/zenodo.8432002

Zusammenfassung

Algorithmic and computational thinking are usually seen as solely computer science skills. However, we believe that algorithms are commonly utilized in other subjects, such as conducting experiments in natural science settings. This poster presents our work as part of the project ”GeNIUS”, which aims to develop scenarios for computer-science-infused natural science lessons in schools and derive the necessary conditions for successfully conducting such lessons. So far two such scenarios have been conceptualized and tested in German schools. Conditions such as reliable technical infrastructure, teachers’ and students’ prior experience with computer science basics have proven to be crucial for successful lessons.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

STEM, Computational Thinking, Multi-Disciplinary Teaching, Algorithmic Thinking

Konferenz

16th International Conference on Informatics in Schools, ISSEP 2023, 23. Okt. 2023 - 25. Okt. 2023, Lausanne, Switzerland
Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690ELENA YANAKIEVA, , Annette BIENIUSA, Christoph THYSSEN, Thomas BECKA, Julia ALBICKER, Niklas WESTERMANN, Barbara PAMPEL, Johannes HUWER, 2023. GeNIUS: Conditions for Successfully Teaching Computer Science Infused Natural Science Classes in Schools. 16th International Conference on Informatics in Schools, ISSEP 2023. Lausanne, Switzerland, 23. Okt. 2023 - 25. Okt. 2023. In: PELLET, Jean-Philippe, Hrsg., Gabriel PARRIAUX, Hrsg.. Informatics in Schools : ISSEP 2023 Local Proceedings. Geneva, Switzerland: Zenodo, 2023, S. 203-206. Verfügbar unter: doi: 10.5281/zenodo.8432002
BibTex
@inproceedings{ElenaYanakieva2023GeNIU-72652,
  title={GeNIUS: Conditions for Successfully Teaching Computer Science Infused Natural Science Classes in Schools},
  year={2023},
  doi={10.5281/zenodo.8432002},
  address={Geneva, Switzerland},
  publisher={Zenodo},
  booktitle={Informatics in Schools : ISSEP 2023 Local Proceedings},
  pages={203--206},
  editor={Pellet, Jean-Philippe and Parriaux, Gabriel},
  author={Elena Yanakieva and Bieniusa, Annette and Thyssen, Christoph and Becka, Thomas and Albicker, Julia and Westermann, Niklas and Pampel, Barbara and Huwer, Johannes}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/72652">
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2025-03-13T08:12:32Z</dc:date>
    <dc:creator>Elena Yanakieva</dc:creator>
    <dc:contributor>Bieniusa, Annette</dc:contributor>
    <dc:contributor>Pampel, Barbara</dc:contributor>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/29"/>
    <dc:creator>Westermann, Niklas</dc:creator>
    <dc:creator>Thyssen, Christoph</dc:creator>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/72652/4/Yanakieva_2-hmltym7fmde39.pdf"/>
    <dc:creator>Becka, Thomas</dc:creator>
    <dc:contributor>Elena Yanakieva</dc:contributor>
    <dc:contributor>Albicker, Julia</dc:contributor>
    <dcterms:title>GeNIUS: Conditions for Successfully Teaching Computer Science Infused Natural Science Classes in Schools</dcterms:title>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Bieniusa, Annette</dc:creator>
    <dc:contributor>Thyssen, Christoph</dc:contributor>
    <dc:language>eng</dc:language>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:issued>2023</dcterms:issued>
    <dc:contributor>Westermann, Niklas</dc:contributor>
    <dc:contributor>Becka, Thomas</dc:contributor>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/72652"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/29"/>
    <dc:contributor>Huwer, Johannes</dc:contributor>
    <dc:creator>Albicker, Julia</dc:creator>
    <dc:creator>Huwer, Johannes</dc:creator>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2025-03-13T08:12:32Z</dcterms:available>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/72652/4/Yanakieva_2-hmltym7fmde39.pdf"/>
    <dc:creator>Pampel, Barbara</dc:creator>
    <dc:rights>terms-of-use</dc:rights>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dcterms:abstract>Algorithmic and computational thinking are usually seen as solely computer science skills. However, we believe that algorithms are commonly utilized in other subjects, such as conducting experiments in natural science settings. This poster presents our work as part of the project ”GeNIUS”, which aims to develop scenarios for computer-science-infused natural science lessons in schools and derive the necessary conditions for successfully conducting such lessons. So far two such scenarios have been conceptualized and tested in German schools. Conditions such as reliable technical infrastructure, teachers’ and students’ prior experience with computer science basics have proven to be crucial for successful lessons.</dcterms:abstract>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

2023-10

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen