[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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难度
2/5
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1-3 小时
新手友好度
86/100
Issue 类型
文档
描述清晰度
描述清楚
活跃度
活跃
技术栈
markdown
领域
documentation

调研方向

阅读 AGENTS.md 中的约定,然后检查 workshop/side-quest-01-02-environment-reference.md 和四个工具部分。将页面缩减到要求的长度,把截图内容整合为紧凑的表格或 <details> 块,并添加两个简短的终端任务,同时保留至少四个 Checkpoint 条目。运行 npx --yes markdownlint-cli2 "**/*.md" 验证格式。

由索引模型根据 Issue 内容生成。

描述

curriculum documentation quality

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
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