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Trabalho de evento-anais periodico
GARFIELD: a recommender system to personalize gamified learning (2022)
Rodrigues, Luiz Antonio Lima ; Toda, Armando Maciel ; Pereira, Filipe Dwan ; Palomino, Paula Toledo ; Klock, Ana Carolina Tomé ; Pessoa, Marcela Sávia Picanço ; Oliveira, David de ; Gasparini, Isabela ; Oliveira, Elaine Harada Teixeira de ; Cristea, Alexandra Ioana ; Isotani, Seiji
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Artificial Intelligence in Education - AIED. Unidade: ICMC
Subjects: ENSINO POR COMPUTADOR, JOGOS DE COMPUTADOR, TESTE E AVALIAÇÃO DE SOFTWARE, ENSINO E APRENDIZAGEM
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ABNT
RODRIGUES, Luiz Antonio Lima et al. GARFIELD: a recommender system to personalize gamified learning. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-11644-5_65. Acesso em: 05 jul. 2025. , 2022
APA
Rodrigues, L. A. L., Toda, A. M., Pereira, F. D., Palomino, P. T., Klock, A. C. T., Pessoa, M. S. P., et al. (2022). GARFIELD: a recommender system to personalize gamified learning. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-11644-5_65
NLM
Rodrigues LAL, Toda AM, Pereira FD, Palomino PT, Klock ACT, Pessoa MSP, Oliveira D de, Gasparini I, Oliveira EHT de, Cristea AI, Isotani S. GARFIELD: a recommender system to personalize gamified learning [Internet]. Lecture Notes in Computer Science. 2022 ; 13355 666-672.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-11644-5_65
Vancouver
Rodrigues LAL, Toda AM, Pereira FD, Palomino PT, Klock ACT, Pessoa MSP, Oliveira D de, Gasparini I, Oliveira EHT de, Cristea AI, Isotani S. GARFIELD: a recommender system to personalize gamified learning [Internet]. Lecture Notes in Computer Science. 2022 ; 13355 666-672.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-11644-5_65
Trabalho de evento-anais periodico
Gamification through the looking glass: perceived biases and ethical concerns of brazilian teachers (2022)
Toda, Armando Maciel ; Palomino, Paula Toledo ; Rodrigues, Luiz Antonio Lima ; Klock, Ana Carolina Tomé ; Pereira, Filipe Dwan ; Borges, Simone de Sousa ; Gasparini, Isabela ; Oliveira, Elaine Harada Teixeira de ; Isotani, Seiji ; Cristea, Alexandra Ioana
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Artificial Intelligence in Education - AIED. Unidade: ICMC
Subjects: COMPUTADOR NO ENSINO, JOGOS DE COMPUTADOR, ÉTICA, PRECONCEITO
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ABNT
TODA, Armando Maciel et al. Gamification through the looking glass: perceived biases and ethical concerns of brazilian teachers. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-11647-6_47. Acesso em: 05 jul. 2025. , 2022
APA
Toda, A. M., Palomino, P. T., Rodrigues, L. A. L., Klock, A. C. T., Pereira, F. D., Borges, S. de S., et al. (2022). Gamification through the looking glass: perceived biases and ethical concerns of brazilian teachers. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-11647-6_47
NLM
Toda AM, Palomino PT, Rodrigues LAL, Klock ACT, Pereira FD, Borges S de S, Gasparini I, Oliveira EHT de, Isotani S, Cristea AI. Gamification through the looking glass: perceived biases and ethical concerns of brazilian teachers [Internet]. Lecture Notes in Computer Science. 2022 ; 13356 259-262.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-11647-6_47
Vancouver
Toda AM, Palomino PT, Rodrigues LAL, Klock ACT, Pereira FD, Borges S de S, Gasparini I, Oliveira EHT de, Isotani S, Cristea AI. Gamification through the looking glass: perceived biases and ethical concerns of brazilian teachers [Internet]. Lecture Notes in Computer Science. 2022 ; 13356 259-262.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-031-11647-6_47
Trabalho de evento-anais periodico
A recommender system based on effort: towards minimising negative affects and maximising achievement in CS1 learning (2021)
Pereira, Filipe Dwan ; Freitas Junior, Hermino Barbosa de ; Rodriguez, Luiz Carlos Estraviz ; Toda, Armando Maciel ; Oliveira, Elaine Harada Teixeira de ; Cristea, Alexandra Ioana ; Oliveira, David B. F; Carvalho, Leandro S. G; Fonseca, Samuel C; Alamri, Ahmed; Isotani, Seiji
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Intelligent Tutoring Systems - ITS. Unidades: ICMC, ESALQ
Subjects: ANÁLISE DE DADOS, COMPUTADOR NO ENSINO, ENSINO E APRENDIZAGEM, METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO, RENDIMENTO ESCOLAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA, Filipe Dwan et al. A recommender system based on effort: towards minimising negative affects and maximising achievement in CS1 learning. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-80421-3_51. Acesso em: 05 jul. 2025. , 2021
APA
Pereira, F. D., Freitas Junior, H. B. de, Rodriguez, L. C. E., Toda, A. M., Oliveira, E. H. T. de, Cristea, A. I., et al. (2021). A recommender system based on effort: towards minimising negative affects and maximising achievement in CS1 learning. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-80421-3_51
NLM
Pereira FD, Freitas Junior HB de, Rodriguez LCE, Toda AM, Oliveira EHT de, Cristea AI, Oliveira DBF, Carvalho LSG, Fonseca SC, Alamri A, Isotani S. A recommender system based on effort: towards minimising negative affects and maximising achievement in CS1 learning [Internet]. Lecture Notes in Computer Science. 2021 ; 12677 466-480.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-80421-3_51
Vancouver
Pereira FD, Freitas Junior HB de, Rodriguez LCE, Toda AM, Oliveira EHT de, Cristea AI, Oliveira DBF, Carvalho LSG, Fonseca SC, Alamri A, Isotani S. A recommender system based on effort: towards minimising negative affects and maximising achievement in CS1 learning [Internet]. Lecture Notes in Computer Science. 2021 ; 12677 466-480.[citado 2025 jul. 05 ] Available from: https://doi.org/10.1007/978-3-030-80421-3_51

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