ProBee: A Provenance-based Design for an Educational Game Analytics Model-Reference-Cited by-同舟云学术

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ProBee: A Provenance-based Design for an Educational Game Analytics Model

Published:2024-07-04 Issue: Volume: Page:
ISSN:2211-1662
Container-title:Technology, Knowledge and Learning
language:en
Short-container-title:Tech Know Learn

Author:

Marques Flávio,Lignani Leonardo,Quadros João,Amorim Myrna,Viana Windson,Ogasawara Eduardo,dos Santos Joel^ORCID

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10758-024-09758-x.pdf

Reference40 articles.

1. Alonso-Fernández, C., Freire, M., Martínez-Ortiz, I., & Fernández-Manjón, B. (2021). Improving evidence-based assessment of players using serious games. Telematics and Informatics, 60, 101583. https://doi.org/10.1016/j.tele.2021.101583

2. Alonso-Fernández, C., Pérez-Colado, I., Freire, M., Martínez-Ortiz, I., & Fernández-Manjón, B. (2019). Improving serious games analyzing learning analytics data: Lessons learned. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11385 LNCS, (pp. 287–296). https://doi.org/10.1007/978-3-030-11548-7_27

3. Carata, L., Akoush, S., Balakrishnan, N., Bytheway, T., Sohan, R., Selter, M., & Hopper, A. (2014). A primer on provenance. Communications of the ACM, 57(5), 52–60. https://doi.org/10.1145/2596628

4. Clark, D. B., Tanner-Smith, E. E., & Killingsworth, S. S. (2016). Digital games, design, and learning: A systematic review and meta-analysis. Review of Educational Research, 86(1), 79–122. https://doi.org/10.3102/0034654315582065

5. Djelil, F., Muller, P. A., & Sanchez, E. (2019). Investigating learners’ behaviours when interacting with a programming microworld: An empirical study based on playing analytics. IFIP Advances in Information and Communication Technology, 524, 67–76. https://doi.org/10.1007/978-3-030-23513-0_7

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