List categorized learning states for sequence simulation

Usage

learning_states(categories = "all")

Arguments

categories: A character vector of one or more category identifiers from learning_state_categories(), or "all" (the default) for every category. Unknown identifiers raise an error.

Value

A tidy base data.frame with one row per category-state pair and columns category and state. A state may belong to more than one category and then appears once per category, so state is not unique: the full catalogue has 209 rows covering 202 distinct states.

Examples

head(learning_states())
#>        category    state
#> 1 metacognitive     Plan
#> 2 metacognitive  Monitor
#> 3 metacognitive Evaluate
#> 4 metacognitive  Reflect
#> 5 metacognitive Regulate
#> 6 metacognitive   Adjust
head(learning_states(categories = "metacognitive"))
#>        category    state
#> 1 metacognitive     Plan
#> 2 metacognitive  Monitor
#> 3 metacognitive Evaluate
#> 4 metacognitive  Reflect
#> 5 metacognitive Regulate
#> 6 metacognitive   Adjust