August 28, 2025 — Intramuros, Manila. Mapúa University (Intramuros) kicked off a hands-on faculty onboarding with Makarius Smart Learning to operationalize adaptive, AI-informed teaching across priority programs. The session moved beyond slideware—faculty shipped real course materials, assessment plans, and advising workflows they can use on Week 1.
What made this onboarding different
- Board-class focus, campus-wide impact: Teams prioritized licensure-bearing courses while building patterns other colleges can reuse.
- Build-while-you-learn format: Instructors worked on their own syllabi, labs, and rubrics—leaving with ready-to-run assets.
- Evidence-first approach: Every activity tied to measurable indicators: feedback speed, early engagement, and mastery on program-critical outcomes.
Hands-on tracks completed
- Course Design Sprint
Outcomes mapped to modules, activities, and formative checks—plus pacing plans for early weeks. - Assessment Integrity Lab
Rubric calibration, generative-AI guardrails, and integrity prompts that fit Mapúa’s academic policies. - Advising Signals Setup
Triggers for “nudge” outreach (missed pre-work, low-stakes quiz dips, inactivity streaks) with clear follow-up playbooks. - Data & Governance Clinic
Privacy, transparency, and model-use guidelines packaged as a simple, teachable checklist for faculty and students.
Tooling faculty can use immediately
- PathBuilder to align CLOs, tasks, and rubrics; generate formative item banks; and visualize mastery at course and program levels.
- FutureClassroom to support HyFlex delivery, content capture, and participation tracking in modern learning spaces.
What shipped by end of day
- A Week-1 launch pack per course (revised syllabus, first 2–3 modules, formative checks, and calibrated rubrics).
- A feedback SLA (turnaround targets by artifact type and how AI assistance is disclosed to students).
- An intervention ladder (light nudges → targeted coaching → advisor escalation) tied to objective signals.
Metrics Mapúa Intramuros will watch
- Turnaround time on formative feedback during Weeks 1–4
- Early engagement (attendance, LMS interactions, low-stakes completion)
- Mastery lift on licensure-linked outcomes
- Faculty adoption & confidence with responsible AI practices
30–60–90 rollout
- 30 days: Office hours, small-group clinics; compare pilot sections to baselines.
- 60 days: Expand to additional sections; publish a mini-compendium of working prompts, rubrics, and nudge templates.
- 90 days: Evidence review and scale plan, including cross-college patterns and onboarding for new faculty.
Interested in structured enablement or pilots with Makarius Smart Learning? Visit msmartlearning.com to connect with our team.
