sample_df

Seven learning outcomes, average scores on aligned assessments, and average number of views of each aligned resource.

datasets

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.

David Wiley

rise

Conduct RISE Analysis

Lumen Learning 

sample_df function

A data frame with 7 rows and 3 variables:<dl class="dl-horizontal">
 <dt>outcomes</dt><dd>a learning outcome</dd>
 <dt>avg_scores</dt><dd>average score on aligned assessments</dd>
 <dt>avg_views</dt><dd>average views per student of each aligned learning resource</dd>
</dl>

Format

RISE analysis sample data — sample_df

A data frame with 7 rows and 3 variables:<dl class='dl-horizontal'>
 <dt>outcomes</dt><dd>a learning outcome</dd>
 <dt>avg_scores</dt><dd>average score on aligned assessments</dd>
 <dt>avg_views</dt><dd>average views per student of each aligned learning resource</dd>
</dl>

sample_df: RISE analysis sample data

Description

Usage

Arguments

Format