The concert is part of the EU-STEAM 2019 European Workshop on Technologies for STEAM Education and Human Learning. The workshop will be held at Luleå University of Technology and is hosted by the research group of EISLAB-Machine Learning. The concert is about fusion, about blurring borders on what is music and what is technology.
– First, we have 3D-interaction with virtual instruments, i.e. Kinect and Leap motion interaction for playing guitar, drums, and xylophone. Second, we have cutting-edge visualization techniques that make sound and different aspects of sound visible, says Marcus Liwicki, Professor of Machine Learning.
The concert will be in three major parts. In the first part, international professional musicians will play classical music. Then Stefan Östersjö, Professor of Musical Performance at Luleå University of Technology, will play jazz together with iMuSciCA participants. Finally, all musicians will perform improvisations using all capabilities of iMuSciCA.
Arts to learn
iMuSciCA is a project that addresses students with the aim to support mastery of core academic content on so called STEM subjects, i.e. is Physics, Geometry, Mathematics, and Technology, through Arts (STEAM). STEM teaching rely on the left half of the brain and thus is logic driven. Artistic activities, which uses the right side of the brain, fosters creative problem solving. That is why the Arts are brought into STEM and becomes STEAM.
– Problem solving is one of the key skills for the 21st-centrury job market and hence, STEM education is necessary for getting youngsters ready for their future. iMuSciCA is a pioneering approach using music for fostering creativity and deeper learning, thereby setting new grounds in the European STEAM curricula, says Marcus Liwicki.
– It is always fascinating when different disciplines meet. We can come up with plenty of new ideas. STEAM teaching itself is interesting because students learn the links between the subjects and how everything makes sense. But also, it gives me new opportunities on how to visualize our work, how to deeper understand models and networks, and how to engage the general public for our research.