Author: PathBuilder Team

Turn student advising analytics into early intervention and case management. Run triage workflows, success coaching, and retention gains with clear SLAs.

Build AI data governance in education that passes audits: data privacy compliance, security controls, model transparency, role-based access, and ethical AI policies.

Build evidence-first courses with backward design, mastery-based assessment, rubric alignment, and formative assessment. Map CLOs to PLOs; prove mastery.

A lighthouse pilot is a short, tightly instrumented experiment that demonstrates value under real constraints. The goal is simple. Pick one or two high-enrollment courses, run a clean study, publish the results, then scale what works across the catalog. To help stakeholders get aligned on concepts, you can reference your explainers on adaptive learning, personalized […]

Quantify the ROI of AI in education with faster grading, shorter feedback turnaround, and cost-benefit math. Reduce faculty workload and improve outcomes.

Build accreditation evidence for learning outcomes with PLO/CLO mapping, curriculum alignment, audit-ready documentation, and QA workflows to show gains.

Design a student early alert system for higher ed with signals, triggers, advisor playbooks, scoring, and privacy to nudge students and boost retention.

Use this adaptive learning RFP template to shortlist vendors fast. Includes a procurement checklist, scoring matrix, and requirements doc for evaluations.