Gerador de aulas online a partir de JSON

The tool ingests a JSON definition of a course and outputs a structured plan that can be used to scaffold online classes. It targets instructional designers, educators, and administrators who need repeatable, data-driven course structures across programs. By keeping content separate from delivery, it enables rapid scenario planning, scheduling, and alignment with assessment strategies.
The generator enforces a hierarchical model: course -> modules -> lessons -> activities, with learning objectives and assessment mapping attached to each unit. This structure supports analytics-ready outputs and LMS compatibility.
Conceptually, the engine validates input, normalizes field names, and builds a consistent outline. It computes module counts from total duration, assigns lessons per module, and distributes instructional time using simple rules. It can incorporate prerequisites, skill levels, and topic sequencing to preserve logical flow, while allowing overrides for domain-specific curricula.
Benefits include reduced planning time, consistency across courses, and easier LMS integration. The tool supplies metadata and structure that support analytics, reporting, and reuse. By exporting JSON or other formats, teams can seed course shells for rapid deployment or generate syllabus documents for stakeholders.
Key differentiators are strict schema validation, deterministic outputs, and optional localization and export formats. It produces scaffolds with explicit mapping to objectives, modules, and assessments, ensuring alignment with instructional design standards and scalable rollout.