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Course Description Quality Impact on Workflow

Course Description Quality Impact on Workflow

Interactive workflow diagram showing how a high quality course description will have exponential impacts on the quality of textbook generation

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Overview

This interactive infographic demonstrates the critical impact of course description quality on the entire intelligent textbook generation workflow. The quality score assessed by the course-description-analyzer skill determines whether the project proceeds smoothly or requires extensive manual correction.

How to Use

  1. Hover over any node to see a brief description in the tooltip
  2. Read the detailed information in the panel below the diagram
  3. Explore the two workflow paths: high-quality (green) and low-quality (orange)
  4. Follow the arrows to understand the sequence of steps in each path

The Quality Threshold

Quality Score ≥ 70: The workflow proceeds smoothly with minimal manual intervention

Quality Score < 70: Requires significant manual correction and rework

Quality Score ≥ 85: Excellent quality, optimal workflow efficiency

Workflow Paths

High-Quality Path (Green)

When the course description achieves a quality score of 70 or higher:

  1. Learning Graph Generation - Produces 200 relevant concepts with accurate dependencies
  2. Glossary Generation - Creates precise, ISO 11179-compliant definitions aligned with concepts
  3. Chapter Structure - Generates logical sequencing that respects prerequisites
  4. Result - High-quality textbook with minimal manual correction needed

Low-Quality Path (Orange)

When the course description scores below 70:

  1. Learning Graph Generation - Generates generic or off-target concepts with unclear dependencies
  2. Manual Correction Required - Significant effort needed to refine concepts and relationships
  3. Regenerate Downstream Artifacts - Glossary and chapters must be redone with the corrected graph
  4. Result - Extended development time (2-3x longer) with inconsistent quality

Key Insights

Quality Pays Exponential Dividends

Investing time in developing a high-quality course description (score ≥ 70) saves substantial effort throughout the entire textbook development process. The initial time investment yields returns at every subsequent step.

Cost of Low Quality

A low-quality course description creates a cascade of problems. Each downstream skill (learning graph, glossary, chapter structure, content generation) produces suboptimal output that requires manual correction and regeneration.

Assessment Tool

Use the course-description-analyzer skill to evaluate your course description before proceeding. This skill checks for:

  • Complete title and clear audience definition
  • Well-defined prerequisites
  • Comprehensive topic coverage
  • Bloom's Taxonomy learning outcomes
  • Clarity and specificity

Legend

Node Colors

  • Gray - Starting point (course description created)
  • Blue - Decision point (quality assessment)
  • Green - High-quality workflow path and processes
  • Orange - Low-quality workflow path and processes
  • Dark Green - Successful outcome
  • Dark Orange - Problematic outcome requiring rework

Node Shapes

  • Ellipse - Start/end points
  • Diamond - Decision points requiring evaluation
  • Rectangle - Process steps and results

Edge Colors

  • Gray - Initial workflow
  • Green - High-quality path connections
  • Orange - Low-quality path connections

Educational Context

This infographic is part of the Claude Skills intelligent textbook generation framework, which uses AI-assisted workflows to create Level 2+ intelligent textbooks. The framework emphasizes the importance of foundational work (like course descriptions) in ensuring high-quality downstream outputs.

Technical Details

  • Technology: p5.js JavaScript library
  • Data Format: vis-network compatible JSON
  • Interaction Model: Hover-based exploration
  • Canvas Structure: Drawing region (top) + detail display region (bottom)
  • Responsive: Adapts to container width

Source Files

The infographic consists of four files:

  • data.json - Node and edge data with descriptions
  • course-quality-workflow.js - p5.js visualization code
  • main.html - Standalone HTML page
  • index.md - This documentation page