Tinkering in Informatics as Teaching Method Angelika Mader - - PowerPoint PPT Presentation

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:


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Tinkering in Informatics as Teaching Method

Angelika Mader Ansgar Fehnker Alma Schaafstal

Faculty of Electrical Engineering, Mathematics and Computer Science - University of Twente - Netherlands

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background:

Creative Technology

multidisciplinary bachelor programme

diversity

electrical engineering computer science maths design human factors economy/business projects ... background ambition gender nationalities

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

tinkering

iterative

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The tinkering approach is characterised by a playful, experimental, iterative style

  • f engagement in which makers are

continually reassessing their goals, exploring new paths and imagining new possibilities.

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raising questions reflection hands on knowledge problem framing increase of personal toolbox use technology for new applications making design decisions

tinkering: contribution in

academic teaching

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implementing tinkering in informatics teaching

seed

toolbox

design goal

assignment

  • pen problem by the teacher

badly framed problem

  • wn problem

instructions algorithms programming style starting motivation examples discussion

  • ther students
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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

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Quality Criteria of

Science Engineering truth universality theoretic consistence coherence simplicity empirical adequacy practical success applicability reliability effectiveness efficiency