Identify at-risk students — bs_identify_at

Flags at-risk students from Learner Usage data based on configurable thresholds. Adds boolean risk flags and a composite risk score.

Usage

bs_identify_at_risk(learner_usage, thresholds = list())

Arguments

learner_usage: A tibble from the Learner Usage ADS.
thresholds: A named list of thresholds to override defaults. Available thresholds: progress (default 25), inactive_days (default 14), login_min (default 2).

Value

A tibble with all original columns plus risk flags (never_accessed, low_progress, inactive, low_logins), risk_score (0-4), and risk_level (ordered factor: Low, Medium, High, Critical), sorted by risk_score descending.

Examples

if (FALSE) { # \dontrun{
usage <- bs_get_ads("Learner Usage")
at_risk <- bs_identify_at_risk(usage)
at_risk <- bs_identify_at_risk(usage, thresholds = list(progress = 30))
} # }