UPHSL x Makarius Smart Learning Seal MOA to Fast-Track Responsible AI in the Classroom

UPHSL x Makarius Smart Learning Seal MOA to Fast-Track Responsible AI in the Classroom

July 11, 2025 — Biñan, Laguna. The University of Perpetual Help System Laguna (UPHSL) and Makarius Smart Learning formally signed a Memorandum of Agreement (MOA) to co-drive responsible, measurable AI adoption across teaching, learning, and student services. The collaboration is purpose-built to advance SDG 4 (Quality Education), SDG 9 (Industry, Innovation, and Infrastructure), and SDG 17 (Partnerships for the Goals) through concrete projects that improve outcomes and strengthen institutional capacity.

Why this matters

The MOA establishes a shared framework for modernizing instruction and student support—pairing UPHSL’s academic leadership with Makarius’ applied AI toolset and enablement programs. The partnership prioritizes impact on learning quality, faculty readiness, and graduate employability, with governance and ethics embedded from day one.

What’s in scope

  • AI in course delivery & feedback: Smart assistants for lesson planning, formative checks, and timely feedback—boosting teaching efficiency without replacing educator judgment.
  • Faculty capacity-building: Hands-on workshops, playbooks, and micro-credentials on practical, ethical AI use tailored to UPHSL disciplines.
  • Student success & career alignment: Outcome mapping, skills progression, and portfolio signals that speak to employer needs.
  • Policy & safeguards: Clear guidelines for transparency, data protection, and bias mitigation to ensure responsible use campus-wide.

Solutions powering the rollout

  • PathBuilder — designs outcome-aligned learning paths, tracks mastery, and visualizes progress for students and programs.
  • FutureClassroom — enables flexible, tech-forward instruction and content delivery to meet learners where they are.

Roadmap at a glance

  1. Enable: Faculty onboarding and instructional design sprints focused on real courses.
  2. Pilot: Controlled deployment in select units with baseline and post-implementation metrics.
  3. Scale: Expansion based on evidence—prioritizing programs where AI demonstrably lifts learning quality and student outcomes.

Shared commitment to SDGs

  • SDG 4: Elevate teaching quality and access through AI-enhanced pedagogy and assessment.
  • SDG 9: Strengthen digital infrastructure and innovation practices on campus.
  • SDG 17: Build a durable academia–industry model that other institutions can emulate.

Exploring partnerships or pilots? Visit msmartlearning.com to connect with our team.

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