An academically grounded tool for designing and exploring coherent learning pathways aligned to professional capability frameworks in healthcare and public health.
Phase: Phase 4 — Curriculum Extensions
Role: Designs and explores coherent learning pathways by aligning module combinations to specific professional capability intents.
Upstream Inputs: Validated module assets from the Shared Module Repository System and structural data from the Mapping Engine.
Downstream Outputs: Provides optimized pathway sequences for validation in the Curriculum Simulation Tool and student-facing guidance systems.
Does NOT:
- Define the baseline curriculum alignment rules.
- Manage institutional governance workflows or systemic risk audits.
The Pathway Personalisation Engine facilitates the structured exploration of curriculum sequences. It assists programme teams and academic leads in evaluating how different module combinations align with specific "Pathway Intents" and target professional capabilities through a transparent, governance-ready framework.
🌐 Live Hosted Version http://cloudpedagogy-pathway-personalisation-engine.s3-website.eu-west-2.amazonaws.com/
For detailed setup, usage, and customization guides, please refer to the: Detailed Instructions Document
- Strategic Pathway Intents: Define target professional outcomes (e.g., Epidemiological Research, Health Policy).
- Automated Aligned Sequencing: Rule-based generation of focused, guided, and comprehensive pathways.
- Structural Evaluation: Side-by-side comparison of curriculum breadth, depth, and coherence.
- Capability Mapping: Identifies alignment gaps and categorical concentration across target competency frameworks.
- Governance-Ready Design: Explicit transparency panels, system assumptions, and reflective checklists for human-in-the-loop oversight.
- Methodology Transparency: Explicit pedagogical logic and governance disclaimers for academic oversight.
- Core: React, TypeScript, Vite
- Styling: Vanilla CSS (High-performance, Custom Design System)
- Persistence: Local browser storage (No external data transmission)
- Logic: Deterministic rule-based alignment engine
This repository contains exploratory, framework-aligned tools developed for reflection, learning, and discussion.
These tools are provided as-is and are not production systems, audits, or compliance instruments. Outputs are indicative only and should be interpreted in context using professional judgement.
All applications are designed to run locally in the browser. No user data is collected, stored, or transmitted.
All example data and structures are synthetic and do not represent any real institution, programme, or curriculum.
This repository contains open-source software released under the MIT License.
CloudPedagogy frameworks and related materials are licensed separately and are not embedded or enforced within this software.
CloudPedagogy develops open, governance-credible resources for building confident, responsible AI capability across education, research, and public service.
- Website: https://www.cloudpedagogy.com/
- Framework: CloudPedagogy AI Capability Framework
This tool supports both AI capability development and lightweight governance.
- Capability is developed through structured interaction with real workflows
- Governance is supported through optional fields that make assumptions, risks, and decisions visible
All governance inputs are optional and designed to support — not constrain — professional judgement.