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Students’ Conceptions of Artificial Intelligence

Published:19 October 2021Publication History

ABSTRACT

The topic of AI is becoming increasingly popular in schools. In order to sustainably embed this in the curriculum, researching students’ perspectives as an elementary component of a didactic framework is essential. We explored students’ conceptions of AI to show how these can have a benefit for learning and teaching AI in CSEd.

References

  1. Ira Diethelm, Christina Dörge, Ana-Maria Mesaros, and Malte Dünnebier. 2011. Die Didaktische Rekonstruktion für den Informatikunterricht. In Informatik in Bildung und Beruf, Marco Thomas (Ed.). Gesellschaft für Informatik e.V. (GI), Bonn, 77–86.Google ScholarGoogle Scholar
  2. Ira Diethelm and Stefan Zumbrägel. 2010. Wie funktioniert eigentlich das Internet? - Empirische Untersuchung von Schülervorstellungen. In Didaktik der Informatik - Möglichkeiten empirischer Forschungsmethoden und Perspektiven der Fachdidaktik, Ira Diethelm, Christina Dörge, and Claudia Hildebrandt (Eds.). Gesellschaft für Informatik e.V. (GI), Bonn, 33–44.Google ScholarGoogle Scholar
  3. Reinders Duit. 2004. Piko-Brief Nr. 1, Mai 2004: Schülervorstellungen und Lernen von Physik. https://t1p.de/7btz. 25-July-2020.Google ScholarGoogle Scholar
  4. Reinders Duit and David F. Treagust. 2003. Conceptual change: A powerful framework for improving science teaching and learning. International Journal of Science Education 25, 6 (2003), 671–688.Google ScholarGoogle ScholarCross RefCross Ref
  5. Wolfgang Ertel. 2016. Grundkurs Künstliche Intelligenz. Springer Fachmedien, Wiesbaden.Google ScholarGoogle Scholar
  6. Lutz Hellmig. 2020. Nachdenken über KI: Was hat ein,,Hype-Thema” im Informatikunterricht verloren?LOG IN Heft Nr. 193/194(2020), 32–34.Google ScholarGoogle Scholar
  7. Alexander D. Hilton. 2019. Artificial intelligence. AI Matters 5, 3 (2019), 70–76.Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Dirk Krüger, Ilka Parchmann, and Horst Schecker (Eds.). 2018. Theorien in der naturwissenschaftsdidaktischen Forschung. Springer, Berlin, Heidelberg.Google ScholarGoogle Scholar
  9. Philipp Mayring. 2015. Qualitative Inhaltsanalyse(12., überarb. aufl. ed.). Beltz, Weinheim.Google ScholarGoogle Scholar
  10. Simone Opel. 2020. Mensch, Maschine!. LOG IN Heft Nr. 193/194(2020), 81–86.Google ScholarGoogle Scholar
  11. Sibylle Reinfried, Christian Mathis, and Ulrich Kattmann. 2009. Das Modell der Didaktischen Rekonstruktion - eine innovative Methode zur fachdidaktischen Erforschung und Entwicklung von Unterricht. Beiträge zur Lehrerinnen- und Lehrerbildung 27 (3) (2009), 404–414.Google ScholarGoogle Scholar
  12. Michael T. Rücker. 2020. A Naturalistic Inquiry into Student Conceptions of Computing Technology and their Role for Learning and Transfer.Google ScholarGoogle Scholar
  13. Michael T. Rücker, Nils Pancratz, Carolin Gold-Veerkamp, Niels Pinkwart, and Torsten Brinda. 2017. Alltagsvorstellungen in der Informatik: Erhebungsmethodik und Implikation für den Unterricht. In Informatische Bildung zum Verstehen und Gestalten der digitalen Welt, Ira Diethelm (Ed.). Gesellschaft für Informatik e.V. (GI), Bonn, 393–401.Google ScholarGoogle Scholar
  14. Stefan Seegerer, Annabel Lindner, and Ralf Romeike. 2019. AI Unplugged – Wir ziehen Künstlicher Intelligenz den Stecker. In Informatik für alle, Arno Pasternak (Ed.). Gesellschaft für Informatik, Bonn, 325–334.Google ScholarGoogle Scholar
  15. Helmut Witten and Malte Hornung. 2008. Chatbots. Teil 1: Einführung in eine Unterrichtsreihe zu Informatik im Kontext(IniK). LOG IN Heft Nr. 154/155(2008), 51–60.Google ScholarGoogle Scholar

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          cover image ACM Other conferences
          WiPSCE '21: Proceedings of the 16th Workshop in Primary and Secondary Computing Education
          October 2021
          119 pages
          ISBN:9781450385718
          DOI:10.1145/3481312

          Copyright © 2021 Owner/Author

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 19 October 2021

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          Overall Acceptance Rate104of279submissions,37%

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