group_regulation_long

<p>Students' regulation during collaborative learning. This is the same dataset
as <code>group_regulation</code> but in long format. In addition to students'
actions (<code>Action</code>), it contains the student identifier (<code>Actor</code>),
timestamp (<code>Time</code>), <code>Course</code> name, and collaboration <code>Group</code>. It
also includes a column (<code>Achiever</code>) indicating whether the student
is a high or low achiever.</p>

datasets

Provides tools for performing Transition Network Analysis (TNA) to
study relational dynamics, including functions for building and plotting TNA
models, calculating centrality measures, and identifying dominant events and
patterns. TNA statistical techniques (e.g., bootstrapping and permutation
tests) ensure the reliability of observed insights and confirm that
identified dynamics are meaningful. See (Saqr et al., 2025)
<doi:10.1145/3706468.3706513> for more details on TNA.

Sonsoles López-Pernas

group_regulation_long: Example Long Data on Group Regulation

Description

Usage

Arguments

Format

See Also