| name | co-learning-deep-research |
| description | Deep research skill for learning science. Web search, CLI /research command, and
MCP-based deep research for pedagogical evidence, learning benchmarks, and theory.
Use when RESEARCHING learning science, pedagogical evidence, instructional design
benchmarks, or educational theory foundations.
|
| tu_tools | [{"key":"deep-research","name":"Deep Research MCP"}] |
Deep Research
Learning-focused deep research with web search and MCP integration.
Use This Skill When
- Researching learning science evidence or pedagogical theory.
- Finding instructional design benchmarks or effectiveness data.
- Gathering evidence to justify design decisions.
- Reviewing literature on assessment methods or learning strategies.
Workflow
- Define research question and required evidence type.
- Select tool:
web_search (quick), /research CLI (structured), or Deep Research MCP (comprehensive).
- Execute search with specific, targeted queries.
- Evaluate source quality (prefer peer-reviewed, meta-analyses, systematic reviews).
- Synthesize findings with citations and save to files.
Deliverables
report.md: research summary with cited sources.results/research-findings.md: structured findings and evidence.
Quality Gates
If any gate fails: identify the issue, fix, and re-validate.
Gotchas
- 教育研究のエフェクトサイズは分野・対象者・文脈で大きく異なる。メタ分析の結果をそのまま適用しないこと
- "Best practice" without empirical evidence is opinion. Require at least one quantitative source
- 学習スタイル理論（VAK等）は科学的根拠が弱い。エビデンスベースの理論を優先すること
Validation Loop
- Execute research and compile findings
- Check: ≥2 sources, citations present, correlation vs causation noted
- If any check fails → expand search or add sources
- Findings ready for use in objective-designer or curriculum-builder
