(EACL'26 Main) Instructional Agents: Reducing Teaching Faculty Workload through Multi-Agent Instructional Design
-
Updated
Sep 24, 2026 - Python
(EACL'26 Main) Instructional Agents: Reducing Teaching Faculty Workload through Multi-Agent Instructional Design
Turns an organization's internal docs into a living learning system: AI agents generate courses, tutor learners, and adapt content on the fly.
Official skiils for Instructional Agents (EACL'26 Main)
Fábrica de cursos educacionais com pipeline de 5 LLMs (Perplexity, GPT-4o, Gemini, Groq, Claude), multi-tenant via ClientContext, quality gate em 5 camadas e FinOps real
AI 数字人课程视频生成:讲稿/文档一键变录播课(数字人讲师+声音克隆+自动课件)| Turn scripts & docs into AI-avatar course videos
Early Kimi Study prototype built on kimi-code — superseded by lucubro. Archived.
Objectives + sources → a full cited course (lessons, tests, scenario) as JSON.
Pipeline autónomo y verificable para crear libros, manuales y cursos académicos con Claude Code. Orquestador + 6 especialistas + 3 auditores + hooks bloqueantes.
A stateful AI learning workspace that turns source materials into contextual courses and adaptive tutoring.
To associate your repository with the course-generation topic, visit your repo's landing page and select "manage topics."