Support affective cohesion through positive atmosphere and empathy formation in chatbot dialogue¶

Strategy · All strategies
Evidence · no claims cited

Description¶

This strategy cultivates emotional bonds among team members through mutual comprehension and empathy. Sub-guidelines include easily achievable pre-task activities to provide opportunities for success, praise time where members exchange positive feedback, occasional encouraging feedback tied to individual performance, empathetic responses when learners share emotions, summarizing learner input to show understanding, and prompts encouraging agreement and empathy toward teammates' opinions. The chatbot should also deliver encouragement alongside help responses and offer perspective-taking messages during team conflict.

Design Implications¶

Context¶

Requirements¶

• The chatbot must be able to inquire about and respond to learners' emotional states and track individual task performance

Constraints¶

Target Learners¶

• collaborative learning teams in classrooms

Target Learning Goals¶

• positive atmosphere
• empathy
• emotional bonds
• perseverance

Affordances¶

• Ai Chatbot Collective Efficacy Design Framework

Related Strategies¶

• Support group cohesion by cultivating belongingness and interdependence through the chatbot
• Induce conversation through familiarity and personification to make the chatbot approachable
• Support collaborative learning activities through sharing, problem-solving scaffolding, social regulation, and immediate feedback
• Relationship Building
• Community Building
• Common Ground Group Assignments

Examples¶

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Key Sources¶

• Minji Kim, Cheolil Lim. (2025). AI chatbot design principles to enhance the collective efficacy in collaborative learning. Asia Pacific Education Review. https://doi.org/10.1007/s12564-025-10080-z