| Version: | 1.0.4 |
| Title: | Conduct RISE Analysis |
| Description: | Implements techniques for educational resource inspection, selection, and evaluation (RISE) described in Bodily, Nyland, and Wiley (2017) <doi:10.19173/irrodl.v18i2.2952>. Automates the process of identifying learning materials that are not effectively supporting student learning in technology-mediated courses by synthesizing information about access to course content and performance on assessments. |
| License: | MIT + file LICENSE |
| Encoding: | UTF-8 |
| LazyData: | true |
| ByteCompile: | true |
| RoxygenNote: | 6.0.1 |
| Depends: | R(≥ 2.10.0), ggplot2, dplyr, stats |
| Suggests: | testthat |
| BugReports: | https://github.com/lumenlearning/rise/issues |
| NeedsCompilation: | no |
| Packaged: | 2018-10-04 17:36:23 UTC; david |
| Author: | David Wiley [aut, cre], Lumen Learning [cph] |
| Maintainer: | David Wiley <david.wiley@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2018-10-04 17:50:03 UTC |
RISE Analysis
Description
Conduct RISE analysis to automatically identify learning outcomes whose learning resources or assessments might benefit from continuous improvement efforts.
Usage
rise(df, visual = FALSE)
Arguments
df |
A dataframe containing three columns: outcome name, avg score on aligned assessmets, and average views of aligned learning resources. The columns in the data frame must be in exactly this order. |
visual |
When this argument is FALSE (the default), the function returns an annotated data frame with RISE information in the final two columns. When this argument is TRUE, the function returns a ggplot2 graph of the RISE diamond. |
Value
Returns either an annotated data frame or a graph, depending on the value of visual.
Examples
library(ggplot2)
rise(sample_df, visual = TRUE)
RISE analysis sample data
Description
Seven learning outcomes, average scores on aligned assessments, and average number of views of each aligned resource.
Usage
sample_df
Format
A data frame with 7 rows and 3 variables:
- outcomes
a learning outcome
- avg_scores
average score on aligned assessments
- avg_views
average views per student of each aligned learning resource