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Technologies for an inclusive robotics education

Authors: ALIMISIS, Dimitris;

Technologies for an inclusive robotics education

Abstract

The H2020 project “INBOTS: Inclusive Robotics for a Better Society” (2018­–21) has worked in different disciplines involved in the acceptance and uptake of interactive robotics, including the promotion of accessible and multidisciplinary education programs. In INBOTS, educational robotics is considered as a learning tool that can bring robotics into school classrooms and benefit all children regardless of their future educational or professional orientation. Aiming to make robotics education inclusive, INBOTS has introduced a paradigm shift inspired by sound pedagogies (Papert’s constructionism) and emerging educational trends (the maker movement) and focused on creativity and other 21st-century skills. However, the realisation of this new paradigm requires appropriate curricula and technologies at both hardware and software levels. This paper addresses several questions and dilemmas related to the technologies currently in use in robotics education and the kind of technologies that can best support the proposed paradigm. This discussion results in specific criteria that robotics technologies must fulfil to foster the new paradigm. Based on these criteria, we review some representative technologies in both hardware and software. Then, we identify and discuss some technological solutions that exemplify the kind of technologies that can best support inclusive robotics education and make the proposed paradigm feasible. Finally, we show how some of these technologies can be combined to design a creative and inclusive project consistent with the criteria set in this paper.

Keywords

maker movement, inclusive education, robotics education, Articles, learning technologies;robotics education;maker movement;inclusive education;INBOTS., Review, INBOTS., learning technologies

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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