Support group cohesion by cultivating belongingness and interdependence through the chatbot¶

Strategy · All strategies
Evidence · no claims cited

Description¶

This strategy directs chatbot design toward reinforcing group cohesion by cultivating a sense of belonging and interdependence within teams. Concrete sub-guidelines include assigning individuals to teams with shared goals based on interests, addressing teams by name, asking open-ended questions to spark interaction, providing ice-breaking activities, suggesting role assignments, and supporting simple gamification through inter-team competition. The aim is that members "trust and rely on each other, believing that collaboration will produce higher-quality results."

Design Implications¶

Context¶

Requirements¶

• The chatbot must know team membership, team names, and individual members' strengths and weaknesses to tailor cohesion prompts

Constraints¶

Target Learners¶

• collaborative learning teams in classrooms

Target Learning Goals¶

• sense of belonging
• interdependence
• group cohesion

Affordances¶

• Ai Chatbot Collective Efficacy Design Framework

Related Strategies¶

• Support affective cohesion through positive atmosphere and empathy formation in chatbot dialogue
• Induce conversation through familiarity and personification to make the chatbot approachable
• Design CSCL assignments with individual accountability and positive interdependence

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