As digital technologies and algorithms shape contemporary cultural consumption, higher arts education (AFAM institutions - it. Conservatori) must address students’ evolving social and artistic needs. This original study investigates algorithm awareness and literacy among 205 conservatory students, examining how emerging technologies influence their artistic engagement, decision-making, and perceptions of digital innovation. Most of these young and experienced artists specialize in classical opera, a field experiencing declining audience engagement and evolving industry demands. Yet, rather than being passive recipients of digital change, these "classic artists" have the potential to become key promoters of digital and social innovation in the arts. As AI-driven tools, algorithmic curation, and digital platforms reshape how cultural content is produced and consumed, classical musicians must navigate and redefine their artistic identities in an era of algorithm-mediated visibility and engagement. This study engages an uncommon team of social scientists and high arts researchers and explores artists' input on the integration of AI technologies, digital platforms, and interdisciplinary artistic approaches into new performance and educational models. Using a mixed-methods approach, the research identifies students' social and professional needs, emphasizing how they can leverage algorithmic awareness to reimagine classical opera for contemporary audiences. Findings highlight the need for educational strategies that foster algorithmic literacy, equipping students with critical skills to actively shape their field rather than merely adapt to digital shifts. The study underscores scenario-based and participatory methodologies as effective tools for cultivating awareness of algorithm-driven cultural production. This research aligns with the panel’s focus on methodological innovations in algorithm awareness, showcasing how human-algorithm interactions influence artistic identity, professional aspirations, and the future of cultural participation. By embracing digital tools and AI-driven approaches, opera students can play a leading role in bridging tradition and technological innovation, ensuring the continued evolution of their art form in a rapidly changing cultural landscape.
Algorithmic Awareness and the Future of Cultural Engagement: A Multidimensional Study in Higher Arts Education / Murero, M.; Romanazzi Maria, Elena. - (2025). ( 11th Social Science Methodology Conference of RC33 ISA International Sociological Association . Track 5-Algorithm Awareness and Literacy Research: Methodological Innovations, Challenges, and Future Perspectives.).
Algorithmic Awareness and the Future of Cultural Engagement: A Multidimensional Study in Higher Arts Education
Murero M.;
2025
Abstract
As digital technologies and algorithms shape contemporary cultural consumption, higher arts education (AFAM institutions - it. Conservatori) must address students’ evolving social and artistic needs. This original study investigates algorithm awareness and literacy among 205 conservatory students, examining how emerging technologies influence their artistic engagement, decision-making, and perceptions of digital innovation. Most of these young and experienced artists specialize in classical opera, a field experiencing declining audience engagement and evolving industry demands. Yet, rather than being passive recipients of digital change, these "classic artists" have the potential to become key promoters of digital and social innovation in the arts. As AI-driven tools, algorithmic curation, and digital platforms reshape how cultural content is produced and consumed, classical musicians must navigate and redefine their artistic identities in an era of algorithm-mediated visibility and engagement. This study engages an uncommon team of social scientists and high arts researchers and explores artists' input on the integration of AI technologies, digital platforms, and interdisciplinary artistic approaches into new performance and educational models. Using a mixed-methods approach, the research identifies students' social and professional needs, emphasizing how they can leverage algorithmic awareness to reimagine classical opera for contemporary audiences. Findings highlight the need for educational strategies that foster algorithmic literacy, equipping students with critical skills to actively shape their field rather than merely adapt to digital shifts. The study underscores scenario-based and participatory methodologies as effective tools for cultivating awareness of algorithm-driven cultural production. This research aligns with the panel’s focus on methodological innovations in algorithm awareness, showcasing how human-algorithm interactions influence artistic identity, professional aspirations, and the future of cultural participation. By embracing digital tools and AI-driven approaches, opera students can play a leading role in bridging tradition and technological innovation, ensuring the continued evolution of their art form in a rapidly changing cultural landscape.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


