Tozadore, Daniel Carnieto 
; Romero, Roseli Aparecida Francelin
Fonte: International Journal of Social Robotics. Unidade: ICMC
Assuntos: ROBÔS, INTERAÇÃO USUÁRIO-COMPUTADOR, APRENDIZADO COMPUTACIONAL, FUZZY (INTELIGÊNCIA ARTIFICIAL), ENSINO E APRENDIZAGEM
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TOZADORE, Daniel Carnieto e ROMERO, Roseli Aparecida Francelin. Student behaviour modelling and adaptive techniques for social robots: data-driven and teacher-perceived evaluations. International Journal of Social Robotics, 2025Tradução . . Disponível em: https://doi.org/10.1007/s12369-025-01326-2. Acesso em: 12 nov. 2025.APA
Tozadore, D. C., & Romero, R. A. F. (2025). Student behaviour modelling and adaptive techniques for social robots: data-driven and teacher-perceived evaluations. International Journal of Social Robotics. doi:10.1007/s12369-025-01326-2NLM
Tozadore DC, Romero RAF. Student behaviour modelling and adaptive techniques for social robots: data-driven and teacher-perceived evaluations [Internet]. International Journal of Social Robotics. 2025 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1007/s12369-025-01326-2Vancouver
Tozadore DC, Romero RAF. Student behaviour modelling and adaptive techniques for social robots: data-driven and teacher-perceived evaluations [Internet]. International Journal of Social Robotics. 2025 ;[citado 2025 nov. 12 ] Available from: https://doi.org/10.1007/s12369-025-01326-2
