SHAPING SMART CAMPUS FRAMEWORK: DOMAINS, INDICATORS, AND AI-DRIVEN PUBLIC INNOVATION

Autores/as

  • Matheus Garcia Bessegato Universidade Tecnológica Federal do Paraná
  • Paula Regina Zarelli Universidade Tecnológica Federal do Paran
  • Deborah Bernett Federal University of Santa Catarina
  • Luiz Marcio Spinosa Universidade Tecnológica Federal do Paraná
  • Thiago França Naves Universidade Tecnológica Federal do Paraná

Palabras clave:

smart campus, artificial intelligence, domain, indicator

Resumen

he digital transformation of cities and the rise of emerging technologies have demanded adaptations in university environments. The concept of smart campuses emerges as a promising response, integrating digital infrastructure, real-time data, and intelligent systems to enhance institutional performance and stakeholder experience. In this context, artificial intelligence (AI) appears as a key enabler that improves resource allocation, data analysis, and evidence-based decision-making. Despite growing academic interest, there is still no consensus on the conceptual domains and indicators that define a smart campus. This study aims to fill this gap by proposing a conceptual matrix of eight interrelated domains and sixty-eight indicators for smart campuses. Through a systematic literature review using the PRISMA protocol, the research identifies the most frequent dimensions in the literature and organizes them into a practical analytical framework, including potential AI applications. The results contribute to the conceptual consolidation of smart campuses and support the development of data-driven strategies for digital transformation in higher education.

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Publicado

2025-12-05

Cómo citar

Garcia Bessegato, M., Zarelli , P. R. ., Bernett, D., Spinosa, L. M. ., & França Naves , T. (2025). SHAPING SMART CAMPUS FRAMEWORK: DOMAINS, INDICATORS, AND AI-DRIVEN PUBLIC INNOVATION. Congreso Internacional De Conocimiento E Innovación - Ciki, 1(1). Recuperado a partir de https://proceeding.ciki.ufsc.br/index.php/ciki/article/view/1754