什麼是 divergent thinking scoring?
針對發散性思考任務的經過領域驗證的多維評分系統,包括流暢性、靈活性、原創性和自動語義距離方法 來源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
針對發散性思考任務的經過領域驗證的多維評分系統,包括流暢性、靈活性、原創性和自動語義距離方法
透過命令列快速安裝 divergent thinking scoring AI 技能到你的開發環境
來源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
This skill encodes expert methodological knowledge for scoring responses from divergent thinking tasks (Alternative Uses Task, Unusual Uses Task, instances tasks, etc.). It covers the four standard scoring dimensions — fluency, flexibility, originality, and elaboration — plus modern automated scoring using semantic distance. A general-purpose programmer would typically count responses (fluency) but would not know...
This skill was generated by AI from academic literature. All parameters, thresholds, and citations require independent verification before use in research. If you find errors, please open an issue.
| Dimension | What It Measures | Scoring Method | Automation | Source |
針對發散性思考任務的經過領域驗證的多維評分系統,包括流暢性、靈活性、原創性和自動語義距離方法 來源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
為搜尋與 AI 引用準備的穩定欄位與指令。
npx skills add https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills --skill divergent thinking scoringBrowse more skills from haoxuanlithuai/awesome_cognitive_and_neuroscience_skills
針對發散性思考任務的經過領域驗證的多維評分系統,包括流暢性、靈活性、原創性和自動語義距離方法 來源:haoxuanlithuai/awesome_cognitive_and_neuroscience_skills。
開啟你的終端機或命令列工具(如 Terminal、iTerm、Windows Terminal 等) 複製並執行以下指令:npx skills add https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills --skill divergent thinking scoring 安裝完成後,技能將自動設定到你的 AI 程式設計環境中,可以在 Claude Code、Cursor 或 OpenClaw 中使用
https://github.com/haoxuanlithuai/awesome_cognitive_and_neuroscience_skills