Von Simone Opel gibt es im Biblionetz Bemerkungen zu:

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Arguments for contextual teaching with learning fields in vocational IT schools, 'Computer Science in Context' and 'Learning Fields' in Vocational Computer Science Education - Two Unlike Siblings?, Das Lernfeldkonzept in den Lehrplänen der IT-Berufe, Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress), Doktorand*innenkolloquium, Drafting a Data Science Curriculum for Secondary Schools, Entwicklung und Reflexion einer Unterrichtssequenz zum Maschinellen Lernen als Aspekt von Data Science in der Sekundarstufe II, Künstliche Intelligenz in der Bildung, Learning Fields in Vocational IT Education - How Teachers Interpret the Concept, Maschinelles Lernen im Unterricht mit Jupyter Notebook, Mitgliederversammlung der GI-Fachgruppe »Berufliche Bildung in Informatik (BBI)«, Practical implementation of learning fields in vocational IT/CS education, What do I have to know and to do?

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Textgeneratoren-Verbot

Rolf Biehler, Bärbel Bohr, Torsten Brinda, Lea Budde, Jörg Desel, Daniel Frischemeier, Sonja Gabriel, Nina Galla, Birte Heinemann, Martin Hofmann, Alexander Höpfl, Steffen Jaschke, Heike Karolyi, Matthias Klusch, Daniel Krupka, Daniel Losch, Heike Mersmann-Hoffmann, Tilman Michaeli, Julia Maria Mönig, Margret Mundorf, Susanne Podworny, Janine Rischke-Neß, Michael Schlichtig, Ute Schmid, Markus Schröppel, Carsten Schulte, Richard Schwarz, Stefan Seegerer, Juliane Siegeris, Alexis Silvestri, Peer Stechert, Christian Stracke, Gudrun Anne Stroot, Thomas Wassong,

• Proceedings of the 14th Workshop in Primary and Secondary Computing Education, WiPSCE 2019, Glasgow, Scotland, UK, October 23-25, 2019 (2019)
  • Developing Teaching Materials on Artificial Intelligence by Using a Simulation Game (Work in Progress) (Simone Opel, Michael Schlichtig, Carsten Schulte) (2019)   
• Informatics in Schools. New Ideas in School Informatics (Sergei Pozdniakov, Valentina Dagienė) (2019)   
  • About Classes and Trees: Introducing Secondary School Students to Aspects of Data Mining (Andreas Grillenberger, Ralf Romeike)   
• ICER 2020 - International Computing Education Research Conference, Virtual Event, New Zealand, August 10-12, 2020 (Anthony V. Robins, Adon Moskal, Amy J. Ko, Renée McCauley) (2020)
  • Data Science Education - Curriculum and pedagogy (Koby Mike) (2020)   
  • Learning Machine Learning with Personal Data Helps Stakeholders Ground Advocacy Arguments in Model Mechanics (Yim Register, Amy J. Ko) (2020)   
• Past, Present and Future of Computing Education Research (Mikko Apiola, Sonsoles López-Pernas, Mohammed Saqr) (2023)   
  • Computing Education Research in Baltic Countries (Valentina Dagienė, Mart Laanpere, Juris Borzovs)   
• WIPSCE '23 - The 18th WiPSCE Conference on Primary and Secondary Computing Education Research (Sue Sentance, Mareen Grillenberger) (2023)
  • A Flexible School and College Level Qualification in Data Science (Kate Farrell, Jo Watts, Judy Robertson, Tommy Lawson) (2023)