[curriculum-eval] side-quest-01-02-environment-reference.md: cognitive_load — 1433-word glossary with 0.63 activity density

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Assessment

Difficulty
2/5
Estimated time
1-3 hours
Newbie friendliness
76/100
Issue type
Documentation
Clarity
Clearly specified
Activity status
Active
Tech stack
markdown
Domain
documentation

Research direction

Read workshop/side-quest-01-02-environment-reference.md and identify the longest tool reference sections and opportunities for learner practice. Reduce the page to 900 words or fewer, add two active-learning steps, and preserve the Before You Start and Checkpoint sections. If you add a side quest file, update workshop/README.md; run the specified markdownlint command when finished.

Written by the indexing model from the issue text.

Description

curriculum documentation quality

File: workshop/side-quest-01-02-environment-reference.md
Overall Score: 4.9 / 10.0 (corpus mean: 6.1)

Flagged Dimensions:

Dimension Score Benchmark Delta
cognitive_load 6.3 ≥ 9 (≤ 800 words, ≤ 15 concepts) −2.7+ (1433 words, 17 concepts)
active_learning 2.1 ≥ 10 (density ≥ 3) −7.9 (density 0.63)

(checkpoint/scaffolding zeros are a regex artefact, see the rubric issue; the page does have both sections.)

Root Cause (≤ 2 sentences):
The page packs ~9 tools and environments into one 1433-word reference (almost 2× the corpus median), with only 2 code blocks and 7 checklist items. A single scroll of glossary entries has no practice between concepts.

Evidence (quoted from the file):

"This is a reference page — you can read it any time. Come back here whenever the workshop uses a term you want to clarify."

Learning Science Rationale:
Sweller's Cognitive Load Theory predicts that presenting many unrelated elements at once exceeds working memory; Mayer's segmenting principle recommends splitting content into learner-paced chunks. A long glossary with little interaction encourages passive reading rather than retrieval practice.

Improvement Prompt (for an agent):

Edit workshop/side-quest-01-02-environment-reference.md. Reduce it to ≤ 900 words by (1) splitting the "Workshop tools and model options" section (gh, gh-aw, Copilot CLI, Copilot app, Claude, OpenAI Codex) into a new side quest file or collapsing each entry into a one-line summary inside a table, and (2) wrapping secondary detail in <details>. Add two short active-learning steps, e.g. "run `gh --version` and note the output" and a match-the-tool-to-its-role mini quiz. Keep the Before You Start and Checkpoint sections, keep headings unnumbered, update workshop/README.md if a file is added, and run `npx --yes markdownlint-cli2 "**/*.md"`.

Expected Score After Fix: 5.5 / 10.0 with current rubric (≈ 7.3 after the rubric regex fix)

Generated by 🔬 Curriculum Quality Evaluator · copilot · auto · ~48 AIC · ⌖ ~1 AIC · ⊞ 5K · ◷

  • expires on Nov 8, 2026, 3:03 AM UTC
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Avg merge
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Merged PRs (30d)
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