Edu Wear Starter kit: Wearable intelligence – for clothes, sports and games

Title: Edu Wear Starter kit: Wearable intelligence – for clothes, sports

and games

Description: A short, but significant resource description:

Through the EduWear EU project, Smart Textiles have become an important

component of the TechKreativ program. As part of this project, a toolkit was

developed, which is supposed to make access to Information and Communication

Technology easier. In this context young people can actively shape and co-design

technologies and learn how to use them in a confident and competent manner.

Link: Link to the resource: http://dimeb.informatik.uni-bremen.de/eduwear/

Can be ordered online at: http://www.watterott.com/en/EduWear-

Kit?x551db=ff6675b35d38ab19ea25217fa291109a

Further information can be accessed at the Website of the research group “Digital

media in education” at the University of Bremen (Prof. Dr. Heidi Schelhowe):

http://dimeb.informatik.uni-bremen.de/eduwear/resources/

License: What kind of licensing system the resource has

The kit contains Smart Textiles (for example conductive yarn and fabrics), LEDs,

vibrating motors, buzzers, light sensors, heat sensors, motion detectors and a small and

handy micro-controller which can be used for the construction of intelligent clothes.

Amici is a visual programming language which enables programming novices to

program Arduino boards without having to master the textual programming language

Arduino. Further infos here EduWear Project. Amici is Since the Arduino software is

based on the open-source open (source code on request), released under the GPL.

Languages: English, German, Portuguese, Danish (software)

Target groups: main target groups of this resource: novices to programming

Known uses: Examples of the use of the resource, if they exist (including videos, text

based descriptions, links, etc.)

Pedagogical level: pedagogical level of resource:

TACCLE Classification: The classification of the resource taking into account TACCLE

ontology (Algorithms, using logic, controling things, creating and debugging)

Quality: Perceived quality of the resource [scale 1-5]

Open comments: Reviewer’s comments

Date: Date of the review, 28 June 2016

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