GARFIELD: a recommender system to personalize gamified learning (2022)
- Authors:
- Rodrigues, Luiz Antonio Lima
- Toda, Armando Maciel
- Pereira, Filipe Dwan - Universidade Federal de Roraima (UFRR)
- Palomino, Paula Toledo
- Klock, Ana Carolina Tomé
- Pessoa, Marcela Sávia Picanço - Universidade Federal do Amazonas (UFAM)
- Oliveira, David de - Universidade Federal do Amazonas (UFAM)
- Gasparini, Isabela - Universidade do Estado de Santa Catarina (UDESC)
- Oliveira, Elaine Harada Teixeira de - Universidade Federal do Amazonas (UFAM)
- Cristea, Alexandra Ioana
- Isotani, Seiji
- USP affiliated authors: ISOTANI, SEIJI - ICMC ; RODRIGUES, LUIZ ANTONIO LIMA - ICMC ; TODA, ARMANDO MACIEL - ICMC ; PALOMINO, PAULA TOLEDO - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-031-11644-5_65
- Subjects: ENSINO POR COMPUTADOR; JOGOS DE COMPUTADOR; TESTE E AVALIAÇÃO DE SOFTWARE; ENSINO E APRENDIZAGEM
- Keywords: Tailored gamification; Data-driven; Education; e-Learning
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 13355, p. 666-672, 2022
- Conference titles: International Conference on Artificial Intelligence in Education - AIED
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
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: 28 mar. 2024. , 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 2024 mar. 28 ] 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 2024 mar. 28 ] Available from: https://doi.org/10.1007/978-3-031-11644-5_65 - Gamification suffers from the novelty effect but benefits from the familiarization effect: findings from a longitudinal study
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Informações sobre o DOI: 10.1007/978-3-031-11644-5_65 (Fonte: oaDOI API)
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