Objective
"The term Augmented Reality (AR) comprises several approaches and disciplines which have in common the enrichment of
the human perception of reality with additional data aided by electronic devices.
MAHEI TECHNOLOGY is an engine for the development and execution of augmented reality contents and games for
educative purposes in mobile devices. As reference of its relevance, the Wikipedia, under de chapter “Education” of the
term “Augmented Reality”, remarks as example the iSkull App, one of the developments of MAHEI for the learning of
anatomy (http://en.wikipedia.org/wiki/Augmented_reality#Education).
Sound research in the last decade, demonstrates the effectiveness of AR approach to improve learning over the traditional
methods; up to 37% improvement according to several authors (see annex). These results are particularly relevant in the
case of children with learning performance under the average. On the other hand, Generation X, and in a greater extent,
Generation Y, also known as the Millennials, are already generations of young adults who grew and learnt in an electronic
gaming environment. Parents of the new children recognize the benefits of the use of technology in learning and are familiar
to the use of these technologies. Finally, children spend on average 50 minutes playing mobile and tablet games each day.
Game players regularly exhibit persistence, attention to detail and problem solving, all behaviors that ideally would be
regularly demonstrated in school (see annex). These three mainstreams, an academic community increasingly enthusiastic
in this field, a consumer demography based on digital natives and the overwhelming implantation of mobile devices in
children’s life, depict a near future scenario of widespread introduction of ICT aided mobile learning tools."
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- medical and health sciencesbasic medicineanatomy and morphology
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- social sciencessociologydemography
- social scienceseconomics and businessbusiness and managementbusiness models
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
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Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
31010 BARANAIN
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.