[curriculum-eval] side-quest-01-02-environment-reference.md: active_learning — 1,433-word reference page with ~0.6 activity density
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Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 86/100
- Issue type
- Documentation
- Clarity
- Clearly specified
- Activity status
- Active
- Tech stack
- markdown
- Domain
- documentation
Research direction
Read AGENTS.md conventions, then inspect workshop/side-quest-01-02-environment-reference.md and the four tool sections. Reduce the page to the requested length, consolidate the screenshot content into a compact table or <details> blocks, and add two short terminal tasks while retaining at least four Checkpoint items. Run npx --yes markdownlint-cli2 "**/*.md" to verify formatting.
Written by the indexing model from the issue text.
Description
File: workshop/side-quest-01-02-environment-reference.md
Overall Score: 4.93 / 10.0 (corpus mean: 6.09)
Flagged Dimensions:
| Dimension | Score | Benchmark | Delta |
|---|---|---|---|
| cognitive_load | 6.3 | ≥ 8 (≤800 words) | -1.7+ |
| active_learning | 2.1 | ≥ 7 (density ≥ 3) | -4.9+ |
Root Cause (≤ 2 sentences):
The page is a 1,433-word glossary table plus per-tool screenshot sections with an activity density of 0.63 (target ≥ 3). Reference content is dense and has few learner actions.
Evidence (quoted from the file):
Knowing which name maps to which role helps you follow workshop instructions without stopping to wonder what "the terminal" or "Codespaces" means in context.
Learning Science Rationale:
Sweller's Cognitive Load Theory predicts that learners can hold only a few new elements in working memory; exceeding the concept and length budget raises extraneous load and reduces schema formation. Splitting content into focused, chunked pieces with practice between them restores germane load. Mayer's coherence principle also suggests trimming the repeated per-tool screenshot sections.
Improvement Prompt (for an agent):
Edit workshop/side-quest-01-02-environment-reference.md: reduce to ≤ 900 words by collapsing the four tool screenshot sections (Copilot CLI, Copilot app, Claude, OpenAI Codex) into one compact table or <details> blocks; add two short hands-on tasks (e.g. run `gh --version` and `gh extension list` in the terminal and confirm output) and keep the Checkpoint with ≥ 4 items. Follow AGENTS.md conventions and run `npx --yes markdownlint-cli2 "**/*.md"`.
Expected Score After Fix: 6.3 / 10.0
Generated by 🔬 Curriculum Quality Evaluator · copilot · auto · 29.6 AIC · ⌖ 0.746 AIC · ⊞ 10.4K · ◷
- expires on Oct 19, 2026, 3:41 AM UTC
- Dominant language
- JavaScript
- Stars
- 53
- Forks
- 35
- Avg merge
- 1d 6h
- Merged PRs (30d)
- 15
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