[curriculum-eval] 05-agentic-workflows-intro.md: active_learning — prose-based activities undercounted, missing in-context self-checks
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Assessment
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Newbie friendliness
- 94/100
- Issue type
- Documentation
- Clarity
- Clearly specified
- Activity status
- Active
- Tech stack
- github-actions, markdown
- Domain
- documentation
Research direction
Open workshop/05-agentic-workflows-intro.md and review the three existing activities, including the Activity 1 prediction, Activity 2 Task A and B reveals, and Activity 3 task-brief exercise. Add the specified standalone self-check checklist line after each activity, then verify each appears in context and remains separate from the final Checkpoint section.
Written by the indexing model from the issue text.
Description
File: workshop/05-agentic-workflows-intro.md
Overall Score: 5.43 / 10.0 (corpus mean: 6.09)
Corrected Overall Score (after fixing the checkpoint/scaffolding regex bug reported separately): 8.18 / 10.0 — active_learning remains the residual gap.
Flagged Dimensions:
| Dimension | Score | Benchmark | Delta |
|---|---|---|---|
| active_learning | 2.4 |
density ≥ 3 (code blocks + checklist items per 100 words) | -0.6 (density 0.72; only 2 code blocks + 0 checklist items across 1107 words) |
| cognitive_load | 8.5 |
≤800 words | -1.5 (1107 words) |
Root Cause (≤ 2 sentences):
The page contains three genuinely interactive prediction/reveal activities ("Activity 1", "Activity 2", "Activity 3"), but they are authored entirely as prose with <details> reveal blocks and a single fenced comment-only code block, so the automated activity_density metric (which only counts fenced code blocks and - [ ] checklist lines) undercounts the real interactivity present. The result is a page that reads as interactive to a human but scores as passive to the rubric.
Evidence (quoted from the file):
"Activity 1 — identify the parts: Open any
.lock.ymlfile in your repo and find theon:key. That is the compiled trigger that came from your frontmatter.""Now check your prediction: did you name both files and identify which one Actions runs (
.lock.yml)?"
This is a real hands-on activity (open a file, find a key, self-check), but it has no checklist item and only a comment-only code fence, so it contributes almost nothing to the activity_density score.
Learning Science Rationale:
Mayer's active-processing principle predicts that generative activities (predict-then-reveal, retrieve-then-check) support learning regardless of format, but the rubric's activity_density proxy (code blocks + checklists per 100 words) is a narrow operationalization that misses prose-based generative activities. Independent of the scoring artifact, converting these activities into an explicit self-check checklist item each would both genuinely reinforce retrieval practice (testing effect) and make the existing interactivity legible to the assessment tool — a low-cost win that improves both real pedagogy and measured quality.
Improvement Prompt (for an agent):
In workshop/05-agentic-workflows-intro.md, add a one-line self-check checklist item immediately after each of the three existing activities, so the interactivity already present is captured explicitly:
1. After "Now check your prediction: did you name both files and identify which one Actions runs (`.lock.yml`)?" (end of Activity 1), add:
- [ ] I named both files and identified that `.lock.yml` is what GitHub Actions runs
2. After the Task A and Task B reveal blocks in Activity 2, add:
- [ ] I correctly classified both Task A (standard) and Task B (agentic) before revealing the answers
3. After Activity 3's task-brief writing exercise, add:
- [ ] I wrote a one-sentence task brief and compared it against the example
Keep these as standalone checklist lines (not merged into the final Checkpoint section) so they read as in-context self-checks during the activity, not duplicate the final checkpoint items.
Expected Score After Fix: ≈8.5 / 10.0 (activity_density rises from 0.72 toward ~1.3 with three added checklist lines across 1107 words; combined with the companion checkpoint/scaffolding regex fix already applied in the corrected baseline).
Generated by 🔬 Curriculum Quality Evaluator · copilot · auto · 147.3 AIC · ⌖ 18.6 AIC · ⊞ 9K · ◷
- expires on Sep 28, 2026, 9:51 AM UTC
- Dominant language
- JavaScript
- Stars
- 49
- Forks
- 20
- Avg merge
- 7h 12m
- Merged PRs (30d)
- 26
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