August 7, 2025 — Makati City. Mapúa University – Makati entered into a Memorandum of Agreement (MOA) with Makarius Smart Learning to co-build an AI-enabled academic environment—linking classroom practice, assessment, and student services into a single, outcomes-driven framework. The collaboration centers on measurable gains in learning quality and student experience while aligning with SDG 4 (Quality Education), SDG 9 (Industry, Innovation & Infrastructure), and SDG 17 (Partnerships for the Goals).

Highlights of the agreement
- Instruction at speed: Practical AI support for lesson prep, formative checks, and feedback loops—always keeping educator judgment at the core.
- Assessment with integrity: Consistent rubrics and transparent guidelines that protect academic honesty as technology scales.
- Student experience, modernized: Early-signal dashboards and nudge workflows that help advisors intervene before learners fall behind.
- Data, policy, and governance: Clear campus guardrails for privacy, model use, and bias mitigation.
Program tracks under the MOA
- Teaching & Learning Acceleration
Co-design studios where faculty transform one active course each—producing ready-to-run modules, question banks, and rubric-aligned feedback patterns. - Assessment & Evidence
Outcome maps and evidence logs that make mastery visible across sections, with rapid item iteration and integrity checks baked in. - Student Success & Advising
Unified signals on participation, submissions, and concept mastery that trigger timely outreach and micro-supports. - Institutional Enablement & Policy
Short-format training, playbooks, and an ethics toolkit to ensure responsible use across departments.
Toolset powering implementation
- PathBuilder — builds outcome taxonomies, aligns tasks and rubrics, and surfaces program-level mastery trends for early action.
- FutureClassroom — supports HyFlex delivery, content capture, and engagement analytics to meet students wherever they learn.
First 100 days: milestones & metrics
- Weeks 0–2: Discovery sprint and course selection; baseline measures for feedback time, engagement, and early mastery.
- Weeks 3–6: Lighthouse course pilots; weekly learning reviews and integrity spot-checks.
- Weeks 7–10: Student-services touchpoints (advising, tutoring triggers) wired to early-risk signals.
- Week 12: Evidence review and scale plan for additional programs.
Key indicators to track
- Median feedback turnaround improvement in pilot sections
- Lift in first-month engagement (attendance, low-stakes checks, LMS activity)
- Mastery gains on priority outcomes
- Faculty adoption rate and policy compliance
Exploring collaborations or pilot programs with Makarius Smart Learning? Visit msmartlearning.com to connect with our team.




