hybrid interfacing academy
Peter Purg (Avtor)

Povzetek

he key aim was to discuss the potentials of the Art-Science-Technology blend in higher education for pedagogy, research and especially radical innovation. The workshop identified assets among the participants, apply them to discerned needs and opportunities, in order to prototype both formal and non-formal implementation formats for a common European future in A-S-T education. The workshop included primarily academics as well as policy-makers, including the student's view and employers from a broad range of CCIs including the NGO sector. The workshop explored the viability of policy support and potential change to instigate a positive integration of the A-S-T innovation methodology. SPEAKERS: Peter Friess – Future Media, Social Network Innovation, Science-Technology-Arts / Media Policy, European Commission, DG Connect, Brussels, Belgium Sanja M. Bojanič – University of Rijeka, Academy of Applied Arts, professor and vice-dean, executive director of CAS SEE, Croatia Christophe De Jaeger – Director GLUON, BOZAR Programme Manager BOZAR Art & Research, Brussels, Belgium Jana Javornik – Director at the Higher Education Directorate, Ministry of Education, Science and Sport, Slovenia Olivera B. Sretenovič – University of Arts in Belgrade, Faculty of Applied Arts in Belgrade, Serbia Sašo Sedlaček – Vice-dean for R&D at Academy of Fine Arts, University of Ljubljana, Slovenia Peter Purg – MAST project lead, University of Nova Gorica School of Arts, Slovenia (workshop moderator) Facilitated by prof. Peter Purg, PhD, Akademija umetnosti Univerze v Novi Gorici Location: Live on Mast Facebook page from Kersnikova Institute, Ljubljana

Ključne besede

education;policy;innovation;art;science;technology;European;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 3.25 - Druga izvedena dela
Organizacija: UNG - Univerza v Novi Gorici
UDK: 7
COBISS: 31733763 Povezava se bo odprla v novem oknu
Št. ogledov: 1875
Št. prenosov: 0
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

URN: URN:SI:UNG
Vrsta dela (COBISS): Delo ni kategorizirano
ID: 12064363
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