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Trabalho de evento-anais periodico
Enhancing students' learning Experience through gamification: perspectives and challenges (2023)
Palomino, Paula Toledo ; Rodrigues, Luiz Antonio Lima ; Toda, Armando Maciel ; Isotani, Seiji
Source: Communications in Computer and Information Science - CCIS. Conference titles: Grand Research Challenges in Games and Entertainment Computing in Brazil - GranDGamesBR 2020-2030. Unidade: ICMC
Subjects: JOGOS DE COMPUTADOR, COMPUTADOR NO ENSINO, APRENDIZAGEM
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ABNT
PALOMINO, Paula Toledo et al. Enhancing students' learning Experience through gamification: perspectives and challenges. Communications in Computer and Information Science - CCIS. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-27639-2_6. Acesso em: 27 nov. 2025. , 2023
APA
Palomino, P. T., Rodrigues, L. A. L., Toda, A. M., & Isotani, S. (2023). Enhancing students' learning Experience through gamification: perspectives and challenges. Communications in Computer and Information Science - CCIS. Cham: Springer. doi:10.1007/978-3-031-27639-2_6
NLM
Palomino PT, Rodrigues LAL, Toda AM, Isotani S. Enhancing students' learning Experience through gamification: perspectives and challenges [Internet]. Communications in Computer and Information Science - CCIS. 2023 ; 1702 113-133.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/978-3-031-27639-2_6
Vancouver
Palomino PT, Rodrigues LAL, Toda AM, Isotani S. Enhancing students' learning Experience through gamification: perspectives and challenges [Internet]. Communications in Computer and Information Science - CCIS. 2023 ; 1702 113-133.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/978-3-031-27639-2_6
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: 27 nov. 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 nov. 27 ] 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 nov. 27 ] Available from: https://doi.org/10.1007/978-3-031-11647-6_47
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: 27 nov. 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 nov. 27 ] 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 nov. 27 ] Available from: https://doi.org/10.1007/978-3-031-11644-5_65
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
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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: 27 nov. 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 nov. 27 ] 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 nov. 27 ] Available from: https://doi.org/10.1007/978-3-030-80421-3_51
Trabalho de evento-anais periodico
Exploring navigation styles in a FutureLearn MOOC (2020)
Shi, Lei; Cristea, Alexandra I ; Toda, Armando Maciel ; Santos, Wilk Oliveira dos
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Intelligent Tutoring Systems - ITS. Unidade: ICMC
Subjects: SISTEMAS TUTORES INTELIGENTES, EDUCAÇÃO A DISTÂNCIA, INTERAÇÃO USUÁRIO-COMPUTADOR
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ABNT
SHI, Lei et al. Exploring navigation styles in a FutureLearn MOOC. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-49663-0_7. Acesso em: 27 nov. 2025. , 2020
APA
Shi, L., Cristea, A. I., Toda, A. M., & Santos, W. O. dos. (2020). Exploring navigation styles in a FutureLearn MOOC. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-49663-0_7
NLM
Shi L, Cristea AI, Toda AM, Santos WO dos. Exploring navigation styles in a FutureLearn MOOC [Internet]. Lecture Notes in Computer Science. 2020 ; 12149 45-55.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/978-3-030-49663-0_7
Vancouver
Shi L, Cristea AI, Toda AM, Santos WO dos. Exploring navigation styles in a FutureLearn MOOC [Internet]. Lecture Notes in Computer Science. 2020 ; 12149 45-55.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/978-3-030-49663-0_7
Trabalho de evento-anais periodico
Temporal analysis in massive open online courses: towards identifying at-risk students through analyzing demographical changes (2020)
Shi, Lei ; Yang, Bokuan; Toda, Armando Maciel
Source: Lecture Notes in Information Systems and Organisation. Conference titles: International Conference on Information Systems Development - ISD. Unidade: ICMC
Subjects: EDUCAÇÃO A DISTÂNCIA, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SHI, Lei e YANG, Bokuan e TODA, Armando Maciel. Temporal analysis in massive open online courses: towards identifying at-risk students through analyzing demographical changes. Lecture Notes in Information Systems and Organisation. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-49644-9_9. Acesso em: 27 nov. 2025. , 2020
APA
Shi, L., Yang, B., & Toda, A. M. (2020). Temporal analysis in massive open online courses: towards identifying at-risk students through analyzing demographical changes. Lecture Notes in Information Systems and Organisation. Cham: Springer. doi:10.1007/978-3-030-49644-9_9
NLM
Shi L, Yang B, Toda AM. Temporal analysis in massive open online courses: towards identifying at-risk students through analyzing demographical changes [Internet]. Lecture Notes in Information Systems and Organisation. 2020 ; 39 146-163.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/978-3-030-49644-9_9
Vancouver
Shi L, Yang B, Toda AM. Temporal analysis in massive open online courses: towards identifying at-risk students through analyzing demographical changes [Internet]. Lecture Notes in Information Systems and Organisation. 2020 ; 39 146-163.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/978-3-030-49644-9_9
Trabalho de evento-anais periodico
Can we use gamification to predict students’ performance?: a case study supported by an online judge (2020)
Pereira, Filipe D; Toda, Armando Maciel ; Oliveira, Elaine Harada Teixeira de ; Cristea, Alexandra I ; Isotani, Seiji ; Laranjeira, Dion ; Almeida, Adriano; Mendonça, Jonas
Source: Proceedings of Lecture Notes in Computer Science. Conference titles: International Conference on Intelligent Tutoring Systems - ITS. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, JOGOS DE COMPUTADOR, ENSINO E APRENDIZAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PEREIRA, Filipe D et al. Can we use gamification to predict students’ performance?: a case study supported by an online judge. Proceedings of Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-49663-0_30. Acesso em: 27 nov. 2025. , 2020
APA
Pereira, F. D., Toda, A. M., Oliveira, E. H. T. de, Cristea, A. I., Isotani, S., Laranjeira, D., et al. (2020). Can we use gamification to predict students’ performance?: a case study supported by an online judge. Proceedings of Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-49663-0_30
NLM
Pereira FD, Toda AM, Oliveira EHT de, Cristea AI, Isotani S, Laranjeira D, Almeida A, Mendonça J. Can we use gamification to predict students’ performance?: a case study supported by an online judge [Internet]. Proceedings of Lecture Notes in Computer Science. 2020 ; 12149 259-269.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/978-3-030-49663-0_30
Vancouver
Pereira FD, Toda AM, Oliveira EHT de, Cristea AI, Isotani S, Laranjeira D, Almeida A, Mendonça J. Can we use gamification to predict students’ performance?: a case study supported by an online judge [Internet]. Proceedings of Lecture Notes in Computer Science. 2020 ; 12149 259-269.[citado 2025 nov. 27 ] Available from: https://doi.org/10.1007/978-3-030-49663-0_30

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