Für den Inhalt der Angaben zeichnet die Projektleitung verantwortlich.
Dieses von der Gebert Rüf Stiftung geförderte Projekt wird von folgenden weiteren Projektpartnern mitgetragen: SUPSI Laboratory of Visual Culture; SUPSI FabLab, design units of the University of Applied Sciences and Arts of Southern Switzerland; Institute dalle Molle, not-for-profit research institute for artificial intelligence, affiliated with Faculty of Informatics of the Università della Svizzera Italiana and the Department of Innovative Technologies of SUPSI; informatics section of SAMT Scuola Arte e Mestieri Trevano
Förderbeitrag: CHF 24'000
Dauer: 05.2019 - 10.2019
Handlungsfeld: Digital TechPreneurs, seit 2019
Scuola Universitaria Professionale della Svizzera Italiana (SUPSI)
Laboratory of visual culture
6952 Canobbio (Schweiz)
- serena.cangiano@supsi. ch
Machine learning (ML), as an application of artificial intelligence, enables computers to perform complex tasks such as for example to classify and recognize objects, to translate sentences, to generate artworks. ML based solutions will drive the near future innovation landscape and, therefore, new generations of TechPreneurs should develop skills on how to create intelligent products based on ML and focused on people needs. Machine Learning @School Camp is a hands-on training on concepts and technologies of Machine Learning addressed to young students of vocational schools. Through the use of open resources, interactive demos and tools, the camp guides students in a design-driven process during which they acquire skills on how to make simple digital ML projects and how to ideate and fast prototype solutions that can have an impact on people’s everyday life. The camp methodology and results are documented and released as instructables that will allow teachers at vocational schools in Switzerland to easily integrate the educational format in their curriculum and to support the development of digital skills in relation to future entrepreneurial competences.
Machine learning @school camp will involve a group of students of SAMT Scuola Arti e Mestieri Trevano Section informatics from 24th to 27th June 2019.
Was ist das Besondere an diesem Projekt?
Artificial Intelligence (AI) and Machine Learning (ML) are key disruptive technologies that are affecting many industries, from manufacturing to finance and education. Mostly based on data collections and algorithms, AI and ML are research and application fields that point to make computers that think, view and take decisions like human beings. While in the field of STEAM education (Science, Technology, Engineering, Arts and Maths) programs on robotics and programming for young students are very popular, there is a lack of initiatives and resources on how to bring AI and ML teachings at the level of the high or vocational schools. The camp points to be an innovative learning journey based on hands-on and creative activities that points to enable the students to understand and use ML technologies to face real problems.
ML @school camp is the first edition of a program that can be replicated at other vocational schools in Switzerland. Thanks to the release of open education guides documenting the resources, the tools and the methods to implement effective learning activities through a creative and design-driven process.
The camp is structured in a series of ideation and programming activities based on the use of open resources and tools for making prototypes of ML based projects.
The activities are documented in open instructables that describe how to run a ML camp with students of vocational schools with the goal to foster collaboration, creativity, technology awareness and literacy and problem-solving skills.
S. Cangiano, M. Loglio (2019), Introducing Machine Learning in the Creative Communities: A Case Study Workshop, Proceedings of Art Machines International Symposum on Computational Media Art, CityU, Hong Kong, 4-7 January 2019
None so far
mlschool.supsi.ch (not active yet)
Am Projekt beteiligte Personen
, reseacher at Laboratory of visual culture and responsible of FabLab DACD, project manager
Lorenzo Romagnoli, interaction designer and teacher at MAS in interaction design SUPSI
Matteo Loglio, interaction designer and teacher at MAS in interaction design SUPSI
Alessandro Giusti, senior Researcher IDSIA
William Peretti, responsible of the Informatics Section at SAMT Scuola Arte e Mestieri Trevano
Luca Maria Gambardella, Dalle Molle Institute for Artificial Intelligence USI/SUPSI
Lucio Negrini, Department of Learning and Education SUPSI
Letzte Aktualisierung dieser Projektdarstellung 30.04.2019