Computation (GPoC), Computation

• An AI Learning Hierarchy (Peter J. Denning, Ted G. Lewis)   
• The Brain of the Firm (Stafford Beer)  
• Great principles of computing (Peter Denning) (2003)   
• Is computer science science? (Peter Denning) (2005)   
• Informatikunterricht planen und durchführen (Werner Hartmann, Michael Näf, Raimond Reichert) (2006)   
  • 8. Fundamentale Ideen (2006)   
• Complex Adaptive Systems - An Introduction to Computational Models of Social Life (John H. Miller, Scott E. Page) (2007)
• LogicTraffic - Logik in der Allgemeinbildung (Ruedi Arnold, Werner Hartmann) (2007)  
• InfoTraffic - Teaching Important Concepts of Computer Science and Math through Real-World Examples (Ruedi Arnold, Marc Langheinrich, Werner Hartmann) (2007)   
• Creating a Science of Games - Communications of the ACM. Volume 50 , Issue 7 (July 2007) (2007)  
  • Computing is a Natural Science (Peter Denning) (2007)   
• Computation - A New way of science (Peter Denning, Craig Martell) (2007)   
• Philosophy of Technology and Engineering Sciences (Anthonie W.M. Meijers, Dov M. Gabbay, Paul Thagard, John Woods) (2009)  
• Fachdidaktische Diskussion von Informatiksystemen und der Kompetenzentwicklung im Informatikunterricht (Peer Stechert) (2009)   
• Informatische Bildung im Sachunterricht der Grundschule - Theoretische Überlegungen zur Begründung (Christian Borowski, Ira Diethelm, Ana-Maria Mesaros) (2010)   
• Great Principles of Computing (Peter Denning, Craig Martell) (2015)   
• The Stack - On Software and Sovereignty (Benjamin H. Bratton) (2015)  
• Mehr als 0 und 1 - Schule in einer digitalisierten Welt (Beat Döbeli Honegger) (2016)   
  • 6. Wozu Informatik? (2016)  
• Common Sense, the Turing Test, and the Quest for Real AI - What artificial intelligence can tell us about the mind and intelligent behavior (Hector J. Levesque) (2017)  
• ICER 2018 - Proceedings of the 2018 ACM Conference on International Computing Education Research, ICER 2018, Espoo, Finland, August 13-15, 2018 (Lauri Malmi, Ari Korhonen, Robert McCartney, Andrew Petersen) (2018)
  • Easing Learners into Data Science via Visualization of Concepts and Computations (Lovisa Sundin) (2018)   
• The Bitter Lesson (Rich Sutton) (2019)   
• Computational Thinking (Peter Denning, Matti Tedre) (2019)   
  • 3. Computational Machines  
• Grundlagen - Medien, Informatik und Anwendungskompetenzen (Felix Meisel, Urs Meier, Ursula Schwarb, Olivier Wüest) (2019)   
• Non-Formal and Informal Science Learning in the ICT Era (Michail N. Giannakos) (2020)   
  • 5. Music and Coding as an Approach to a Broad-Based Computational Literacy (Michael S. Horn, Amartya Banerjee, Melanie West)   
• The Myth Of Artificial Intelligence - Why Computers Can’t Think The Way We Do (Erik J. Larson) (2021)  
• Login 195/196 (2021)  
  • Von Media Computation zu Data Science - in SNAP! (Jens Mönig, Jadga Hügle)  
• Auf dem Weg zu einer gendergerechten Informatikdidaktik - Einstellungen und Erfahrungen von Lehrpersonen auf verschiedenen Stufen des schweizerischen Bildungssystems (Jessica Bollag, Caroline Bühler, Isabelle Clerc, Mira Ducommun, Sonja Schär) (2021)   
• The Premature Obituary of Programming - Why deep learning will not replace programming (Daniel M. Yellin) (2023)   
• Conjuring With Computation - A Manual Of Magic And Computing For Beginners (Paul Curzon, Peter W. McOwan) (2023)  
• Artificial intelligence and illusions of understanding in scientific research (Lisa Messer, M. J. Crockett) (2024)   
• The Atomic Human - Understanding Ourselves in the Age of AI (Neil D. Lawrence) (2024)