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Analyse Moodle course backup (.mbz) files to generate audits, interactive dashboards, content maps, settings analysis, file inventories and course comparisons.
A capability-first method for designing AI-enabled software systems in line with the CloudPedagogy AI Capability Framework.
Extract files from Moodle .mbz backups, restore original filenames and paths, verify integrity, and generate a CSV manifest.
A capability-led, reflective diagnostic tool for interpreting AI capability gaps and risk patterns using the CloudPedagogy AI Capability Framework.
CloudPedagogy AI Capability Framework (2026 Edition) – a values-based, developmental model for ethical, strategic, and creative AI use across sectors.
AI Capability Briefs aligned to the CloudPedagogy AI Capability Framework (2026 Edition).
Exploratory, browser-based Scenario Stress-Test tool grounded in the CloudPedagogy AI Capability Framework.
Comprehensive collection of Machine Learning and Deep Learning Models
A local-first tool for tracking and comparing changes to curriculum, assessment, and AI integrity designs over time. It enables structured versioning, rationale capture, and audit-ready change summaries, supporting transparent, governance-aware academic design and quality assurance processes.
A local-first tool for mapping video transcripts to structured learning segments, themes, and objectives. Part of the CloudPedagogy AI Capability and Human–AI Governance ecosystem.
CloudPedagogy’s course-engine: a CLI for producing traceable, defensible course outputs from structured specifications using Quarto.
Local-first interoperability tool for transforming and validating data across the CloudPedagogy ecosystem using a shared schema.
A local-first registry for reusable curriculum modules, supporting version tracking, dependency mapping, and governance-ready inspection across programmes.
Local-first dashboard for analysing curriculum coherence, alignment, and governance readiness across programmes. Visualises relationships between modules, outcomes, and assessments to surface structural risks, duplication, and gaps in system-level design.
Offline Moodle MBZ analyser for activity settings, display modes, restrictions, completion, groups, files and configuration consistency.
Offline-first structured workflow tool for documenting AI-supported practice and generating AI Workflow Records using the CloudPedagogy AI Capability Framework.
Local-first interoperability interface for transforming and validating data across the CloudPedagogy ecosystem using the Integration SDK.
Convert structured Word document tables into interactive hierarchy visualisations using Python and D3.js.
Exploratory, browser-based AI capability tool for sense-making, reflection, and governance-aligned discussion, grounded in the CloudPedagogy AI Capability Framework.
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