Educational scenario landing program
Suggestions for optimizing features for teaching scenarios:
- Socratic Teaching ModelSetting pedagogical_mode=socratic, the AI will lead the student to think by asking Socratic questions. For example, when a student asks "what is a quantum bit", the AI will first ask "how do classical bits work".
- <strong]Cognitive Scaffolding: Pre-set thinking templates in the course profile (e.g. PMIQ: Points-Meaning-Arguments-Implications-Questions), and the AI automatically develops the discourse according to a structured framework.
- Group Collaboration Functions: Activate multi_user=true mode to support 3-5 people marking and commenting on the same thought chain at the same time, with different users color-coded for easy tracking of contributions.
Instructional Management Tip: Combined with a built-in cognitive analytics dashboard that quantitatively assesses each student's thinking engagement (number of edits/number of in-depth questions/frequency of logical leaps), resulting in personalized learning reports.
This answer comes from the articleCoT-Lab: an experimental dialog tool for exploring iterative thinking about human-computer collaborationThe
May not be reproduced without permission:AI productivity tools " How to apply CoT-Lab's collaborative mind weaving feature in education and training scenarios?
