tinkering in informatics as teaching method
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Tinkering in Informatics as Teaching Method Angelika Mader - PowerPoint PPT Presentation

Tinkering in Informatics as Teaching Method Angelika Mader Ansgar Fehnker Alma Schaafstal Faculty of Electrical Engineering, Mathematics and Computer Science - University of Twente - Netherlands Creative Technology background:


  1. Tinkering in Informatics as Teaching Method Angelika Mader Ansgar Fehnker Alma Schaafstal Faculty of Electrical Engineering, Mathematics and Computer Science - University of Twente - Netherlands

  2. Creative Technology background: multidisciplinary bachelor programme electrical engineering diversity computer science maths design background human factors ambition economy/business gender projects nationalities ...

  3. curiosity driven playful starting seemingly undirected tinkering define own building challenges prototypes and goals explore materials, concepts & methods iterative

  4. The tinkering approach is characterised by a playful, experimental, iterative style of engagement in which makers are continually reassessing their goals, exploring new paths and imagining new possibilities.

  5. hands on use technology knowledge for new applications raising questions tinkering: contribution in increase of academic teaching personal toolbox problem framing reflection making design decisions

  6. implementing tinkering in informatics teaching assignment open problem by the teacher badly framed problem own problem design goal starting motivation examples seed discussion toolbox instructions other students algorithms programming style

  7. results, observations & challenges we can handle huge diversity in background very little dropout no gender differences in performance plagiarism is not an issue feedback intensive students have fun doing assignments students challenge each other some students stick to a school mindset (reproducing vs playing) make the approach scalable: student assistants automated analysis of standard issues in programming style

  8. Quality Criteria of Science Engineering truth practical success universality applicability theoretic consistence reliability coherence effectiveness simplicity efficiency empirical adequacy

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