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Assessing Shiny apps through student feedback: recommendations from a qualitative study

Author
Gonzalez, J.; Lopez, M.; Cobo, E.; Cortes, J.
Type of activity
Journal article
Journal
Computer applications in engineering education
Date of publication
2018-09
Volume
26
Number
5
First page
1813
Last page
1824
DOI
https://doi.org/10.1002/cae.21932 Open in new window
Repository
http://hdl.handle.net/2117/123605 Open in new window
URL
https://onlinelibrary.wiley.com/doi/abs/10.1002/cae.21932 Open in new window
Abstract
Teaching statistics has benefited from Java applets, the successful technology that appeared in the late 90s and which allowed real interactivity on an Internet browser. Combining dynamic functionality with the web provides an inspirational complement to the contents of many subjects in undergraduate statistics courses, especially for active learning activities. Since Java applets are becoming obsolete, we explore a different technology based on R (currently a popular statistical language) and S...
Citation
Gonzalez, J., Lopez, M., Cobo, E., Cortes, J. Assessing Shiny apps through student feedback: recommendations from a qualitative study. "Computer applications in engineering education", Setembre 2018, vol. 26, núm. 5, p. 1813-1824.
Keywords
Applets, Shiny, Statistics education, focus group, qualitative study
Group of research
GNOM - Mathematical Optimization Group
GRBIO - Biostatistics and Bioinformatics Research Group

Participants