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AI Course Generator

The AI Course Generator is one of 91 AI tools built into OpenEduCat. It turns a topic and a few parameters into a complete, structured course that loads straight into your LMS. Faculty keeps full editorial control. The AI handles the mechanical assembly.

What the Course Generator Does

Four capabilities that turn a blank course shell into a teaching-ready structure.

Full Course Outlines

Enter a topic, target level, and semester length. The AI returns a week-by-week outline with lecture topics, reading assignments, discussion prompts, and assessment milestones. Dr. Patel, a chemistry professor at a mid-size university, used it to draft her Organic Chemistry II outline in 74 seconds.

Lesson Plans with Activities

Each week breaks down into individual class sessions with warm-ups, core instruction blocks, group activities, and wrap-up assessments. The output follows the backward design framework: start with learning objectives, then build the activities that get students there.

Aligned Learning Objectives

Every generated module includes learning objectives mapped to Bloom's taxonomy levels. The AI tags each objective as Knowledge, Comprehension, Application, Analysis, Synthesis, or Evaluation so accreditation reviewers can see the cognitive rigor at a glance.

Assessment Scaffolding

The generator places formative checks, midterm milestones, and summative assessments at the right intervals. It accounts for prerequisite dependencies so students are never tested on material that hasn't been taught yet. Faculty can shift any assessment with drag-and-drop in the course editor.

How It Works

Three steps from blank page to published course.

1

Enter your course details

Type in the subject, academic level (intro, intermediate, advanced), number of weeks, and class sessions per week. Add optional constraints like required textbooks or accreditation standards.

2

AI generates the complete outline

In under 90 seconds, you get a full course structure: weekly topics, lesson plans, learning objectives, reading lists, and assessment points. The output follows your institution's course template if one has been configured.

3

Review, edit, and publish

The generated outline loads directly into OpenEduCat's course editor. Rearrange weeks, swap readings, adjust assessments. When it looks right, publish to your LMS. Students see it immediately.

Example: What You Get

Here is what the generator produced for "Introduction to Environmental Science", a 14-week undergraduate course with 3 sessions per week.

Generated in 68 seconds

ENVS 101, Introduction to Environmental Science

14 weeks · 3 sessions/week · Undergraduate Intro

Week 1, Earth Systems & the Scientific Method

Objectives: Define the four Earth spheres (Knowledge); design a simple field observation protocol (Application)

Sessions: Lecture: What is Environmental Science? / Lab: Campus ecosystem walkthrough / Discussion: Local vs. global environmental issues

Assessment: Reflection journal entry (formative)

Week 2, Ecology Fundamentals

Objectives: Explain energy flow through trophic levels (Comprehension); calculate biomass transfer efficiency (Application)

Sessions: Lecture: Food webs and energy pyramids / Lab: Aquatic ecosystem sampling / Group: Build a food web from field data

Assessment: Food web diagram (formative)

Week 7, Midterm Review & Exam

Objectives: Synthesize concepts from Weeks 1-6 (Synthesis); evaluate competing environmental policy proposals (Evaluation)

Sessions: Review session / Midterm exam / Post-exam debrief

Assessment: Midterm exam, 40 MCQ + 2 short essay (summative, 25% of grade)

... plus Weeks 3-6, 8-14 with the same detail level

Your Keys. Your Data.

Bring Your Own Model

The Course Generator runs on whichever AI model your IT team approves. Plug in an API key from OpenAI, Anthropic, Google Gemini, Mistral, or a locally-hosted LLM running behind your firewall. Every request goes directly from your OpenEduCat instance to the model provider. No course data passes through OpenEduCat's servers. Your infrastructure, your rules.

For districts that prohibit cloud AI, run a local model on your own hardware. The data never leaves your network. Your DPO signs off once and it stays signed off.

Frequently Asked Questions

Common questions about the AI Course Generator.

Most course outlines generate in 60 to 90 seconds, depending on the length and complexity. A 16-week undergraduate course with weekly lesson plans typically takes about 74 seconds. A 4-week workshop module finishes in under 30 seconds.

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