Development of Visualization Metaphors for Monitoring Student Engagement in Distance Learning Environments

• Pamella L. S. de Oliveira UPE
• Rodrigo L. Rodrigues UFRPE
• Alexandre M. A. Maciel UPE

DOI: https://doi.org/10.5753/sbie.2023.234819

Resumo

Given the low percentage of graduates in Distance Education courses, the need to visualize student data is perceived, as it makes it easier to monitor educational phenomena, such as engagement. The literature shows some gaps, such as the absence of analysis of visualization metaphors. This work aims to develop visualizations with educational data using the stages of understanding the problem, construction, and evaluation. The results show the choice of five visualization metaphors to present engagement variables. In addition, the evaluation results point to the absence of a tool for monitoring and the importance of viewing groups.

Referências

Carrillo, R., Renaud, C., Prié, Y., and Lavoué, (2017). Dashboard for monitoring student engagement in mind mapping activities. In 2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT), pages 433–437.

de Oliveira, P., Rodrigues, R., and Maciel, A. (2022). Revisão sistemática da literatura sobre modelos de visualizações utilizados para analisar fenômenos educacionais em plataformas de lms. In Anais do XXXIII Simpósio Brasileiro de Informática na Educação, pages 1006–1015, Porto Alegre, RS, Brasil. SBC.

Dourado, R., Rodrigues, R., Ferreira, N., and Gomes, A. (2018). Mapeamento sistemático sobre o uso de visualização de dados para análise processual da aprendizagem em ambientes virtuais. VII Congresso Brasileiro de Informática na Educação (CBIE 2018).

H. R. Macêdo, P., B. Santos, W., and M. A. Maciel, A. (2021). Análise de perfis de engajamento de estudantes de ensino a distância. Revista Novas Tecnologias na Educação, 18(2):326–335.

Haron, H., Natrah Aziz, N. H., and Harun, A. (2017). A conceptual model participatory engagement within e-learning community. Procedia Computer Science, 116:242–250. Discovery and innovation of computer science technology in artificial intelligence era: The 2nd International Conference on Computer Science and Computational Intelligence (ICCSCI 2017).

Inep (2021). Senso da educação superior 2021. [link].

Lacerda, D., Dresch, A., Proença, A., and Antunes Júnior, J. A. V. (2012). Design science research: A research method to production engineering. Gestão Produção, 20:741–761.

Matcha, W., Ahmad Uzir, N., Gasevic, D., and Pardo, A. (2019). A systematic review of empirical studies on learning analytics dashboards: A self-regulated learning perspective. IEEE Transactions on Learning Technologies, PP:1–1.

S. Stoltzman (2018). What type of data visualization do you choose (if any)? Disponível em: [link]. Acesso em: 01 de setembro 2022.

Sedrakyan, G., Mannens, E., and Verbert, K. (2019). Guiding the choice of learning dashboard visualizations: Linking dashboard design and data visualization concepts. Journal of Computer Languages, 50:19–38.

Silva, N. A. d. L., Dourado, R. A., Rodrigues, R. L., and Cavalcanti, A. A. (2018). Investigating the suitability of multi-dimensional data visualization as an instrument for assisting distance learning instructor. VII CONGRESSO BRASILEIRO DE INFORMÁTICA NA EDUCAÇÃO (CBIE 2018), pages 1–1.

T. Munzner (2014). Visualization Analysis and Design. AK Peters, 1th edition.