Learning science integration; instructional design frameworks; education for AI literacy; evidence-based pedagogy; experimental validation; usability testing; cognitive load analysis; human-subject experimentation; open educational datasets; benchmark construction; model interpretability studies; mixed-methods evaluation; longitudinal classroom research; educational psychology; psychometric alignment; reliability and validity testing; user-centered ITS design; ethical experimentation; open-science practices; replication protocols; teacher training for AI integration.

FOCUS: empirical, methodological, and theoretical research about how educational science informs ITS and AI design, ensuring scientific rigor, replicability, and ethical grounding.