Enhancing students' learning Experience through gamification: perspectives and challenges (2023)
- Authors:
- USP affiliated authors: ISOTANI, SEIJI - ICMC ; RODRIGUES, LUIZ ANTONIO LIMA - ICMC ; TODA, ARMANDO MACIEL - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-031-27639-2_6
- Subjects: JOGOS DE COMPUTADOR; COMPUTADOR NO ENSINO; APRENDIZAGEM
- Keywords: Gamification; Gamified educational systems; Computers and education; Learning experience; Users’ experience
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Communications in Computer and Information Science - CCIS
- Volume/Número/Paginação/Ano: v. 1702, p. 113-133, 2023
- Conference titles: Grand Research Challenges in Games and Entertainment Computing in Brazil - GranDGamesBR 2020-2030
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
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: 26 dez. 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 dez. 26 ] 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 dez. 26 ] Available from: https://doi.org/10.1007/978-3-031-27639-2_6 - Predicting user types with symbolic images: an empirical validation based on two card-sorting studies
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Informações sobre o DOI: 10.1007/978-3-031-27639-2_6 (Fonte: oaDOI API)
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