David S. Touretzky, David Touretzky

Von David S. Touretzky gibt es im Biblionetz Bemerkungen zu:

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Accelerating K-12 computational thinking using scaffolding, staging, and abstraction, An inexpensive hand-eye system for undergraduate robotics instruction, ARTSI robotics roadshow-in-a-box, Calypso for Cozmo, Envisioning AI for K-12, Evaluating the Effect of Using Physical Manipulatives to Foster Computational Thinking in Elementary School, Evaluating the Effectiveness of Explicit Instruction in Reducing Program Reasoning Fallacies in Elementary Level Students, Introducing an experimental cognitive robotics curriculum at historically black colleges and universities, Machine Learning and the Five Big Ideas in AI, Robotics for computer scientists, Seven big ideas in robotics, and how to teach them, Special Session, Teaching «Lawfulness» With Kodu

Ashish Aggarwal, Clement S. Allen, Monica Anderson, Debra Bernstein, Chutima Boonthum, Chutima Boonthum-Denecke, Cynthia Breazeal, Christina Gardner-McCune, Thorna Humphries, Stephanie Ludi, LaVonne Manning, Daniela Marghitu, Fred Martin, Lijun Ni, Glenn V. Nickens, Tess Posner, Deborah W. Seehorn, Ethan J. Tira-Thompson, Andrew B. Williams

• Informatics in Schools. New Ideas in School Informatics (Sergei Pozdniakov, Valentina Dagienė) (2019)   
  • Unplugged Activities in the Context of AI (Annabel Lindner, Stefan Seegerer, Ralf Romeike)   
• What is AI Literacy? - Competencies and Design Considerations (Duri Long, Brian Magerko) (2020)   
• Non-Formal and Informal Science Learning in the ICT Era (Michail N. Giannakos) (2020)   
  • 7. Games for Artificial Intelligence and Machine Learning Education - Review and Perspectives (Michail N. Giannakos, Iro Voulgari, Sofia Papavlasopoulou, Zacharoula Papamitsiou, Georgios Yannakakis)   
• WiPSCE '21 - The 16th Workshop in Primary and Secondary Computing Education, Virtual Event / Erlangen, Germany, October 18-20, 2021 (Marc Berges, Andraes Mühling, Michal Armoni) (2021)
  • Addressing AI and Data Literacy in Teacher Education - A Review of Existing Educational Frameworks (Viktoriya Olari, Ralf Romeike) (2021)   
  • Designing a Teacher PD Programme for AI - First Steps (Annabel Lindner) (2021)   
• CT 2.0 (Matti Tedre, Peter J. Denning, Tapani Toivonen) (2021)   
• Conceptualizing AI literacy - An exploratory review (Davy Tsz Kit Ng, Jac Ka Lok Leung, Samuel Kai Wah Chu, Maggie Shen Qiao) (2021)   
• Machine Learning for Teachers - Evaluation und Entwicklung von Lehr- und Lernmaterialien zum Thema Künstliche Intelligenz für Lehrpersonen ab Sekundarstufe 1 (Thomas Zurfluh) (2022)  
• Machine Learning and the Five Big Ideas in AI (David S. Touretzky, Christina Gardner-McCune, Deborah W. Seehorn) (2022)   
• Computer Science Education - Perspectives on Teaching and Learning in School (2nd edition) (Sue Sentance, Erik Barendsen, Nicol R. Howard, Carsten Schulte) (2023)  
• What are artificial intelligence literacy and competency? - A comprehensive framework to support them (Thomas K.F. Chiu, Zubair Ahmad, Murod Ismailov, Ismaila Temitayo Sanusi) (2024)   
• Developing a holistic AI literacy assessment matrix (Nils Knoth, Marie Decker, Matthias Carl Laupichler, Marc Pinski, Nils Buchholtz, Katharina Bata, Ben Schultz) (2024)   
• DELFI 2024 (Sandra Schulz, Natalie Kiesler) (2024)   
  • A project-based AI and Data Education Concept for STEM Teacher Education in Teaching-Learning-Labs (Moritz Kreinsen, Maimon Thiems, Sandra Sprenger, Sandra Schulz 0001) (2024)   
• WIPSCE '24 (Tilman Michaeli, Sue Sentance, Nadine Bergner) (2024)   
  • Co-Designing AI literacy for K-12 Education (Linda Mannila) (2024)   
  • Unpacking Approaches to Learning and Teaching Machine Learning in K-12 Education - Transparency, Ethics, and Design Activities (Luis Morales-Navarro, Yasmin B. Kafai) (2024)   
• Was alle über Künstliche Intelligenz wissen sollen und wie KI-bezogene Kompetenzen in der Schule entwickelt werden können - Weiterführende Überlegungen zum GI-Positionspapier „Künstliche Intelligenz in der Bildung“ (Daniel Losch, Steffen Jaschke, Tilman Michaeli, Simone Opel, Ute Schmid, Stefan Seegerer, Peer Stechert) (2025)   
• Künstliche Intelligenz in der forschungsgeleiteten Hochschullehre - Heft 1 (Tanja Jadin, Ortrun Gröblinger, Gerhard Brandhofer, Michael Raunig) (2025)   
  • Enhancing AI literacy of educators in higher education (Stefanie Schallert-Vallaster, Charlotte Nüesch, Konstantin Papageorgiou, Lisa Herrmann, Martin Hofmann, Josef Buchner) (2025)   
• AI Literacy in K-12 and Higher Education in the Wake of Generative AI - An Integrative Review (Xingjian Gu, Barbara J. Ericson) (2025)   
• Grenzen überwinden - voneinander lernen (Mareen Grillenberger, Andreas Grillenberger) (2025)   
  • Concept Inventory zum Thema Maschinelles Lernen (CIML) - Konzeption, Entwicklung und Evaluation (Erik Marx, Thiemo Leonhardt, Nadine Bergner) (2025)   
• Lehren & Lernen in Zeiten künstlicher Intelligenz (2025)   
  • Künstliche Intelligenz ist kein Werkzeug - Warum Bildung über «Anwendungskompetenzen» hinausgehen muss (Tilman Michaeli)  
• DigComp 3.0 - European Digital Competence Framework - Fifth Edition (J. Cosgrove, R. Cachia) (2025)