Taxonomy for Educational Robotics at Schools
: Pedersen Bjarke Kristian Maigaard Kjaer, Ruwodo Vuyelwa David, Shipepe Annastasia, Uwu-Khaeb Lannie, Yigzaw Samuel Tewelde, Jormanainen Ilkka, Nielsen Jacob, Sutinen Erkki
: Lepuschitz Wilfried, Merdan Munir, Koppensteiner Gottfried, Balogh Richard, Obdržálek David
: International Conference on Robotics in Education
Publisher: Springer Science and Business Media Deutschland GmbH
: Cham
: 2022
: Lecture notes in networks and systems
: Robotics in Education: RiE 2022
: Lecture Notes in Networks and Systems
: Lecture Notes in Networks and Systems
: 515
: 91
: 96
: 978-3-031-12847-9
: 978-3-031-12848-6
: 2367-3370
: 2367-3389
DOI: https://doi.org/10.1007/978-3-031-12848-6_9
: https://link.springer.com/chapter/10.1007/978-3-031-12848-6_9
With this paper we present a novel Taxonomy of Educational Robotics (TER) based on a set of concrete, though experimental setups of integrating robotics to K-12 school curricula in five countries: Denmark, Germany, Finland, Namibia, and Eritrea. In the era of artificial intelligence (AI) and the fourth industrial revolution (4IR), the expectations from robotics in education are increasing, also in the wider society. The taxonomy illustrates the diversity of ways and approaches robotics can be used in a school context. For practitioners, the taxonomy serves as a map of inspiring opportunities by which robotics can enhance schooling, whether formal, non-formal, or informal.
