Design clearly defined roles and collaborative interaction rules to empower learners and their AI partners¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The article developed a role-based intervention strategy for human-GAI online collaboration, grounded in symbiosis theory. It works "through clearly defined responsibilities and collaborative interaction rules" that empower both learners and their AI partners. Instructors can apply it when integrating AI tools into online collaborative learning activities.

Design Implications¶

Context¶

Requirements¶

• Clear role definitions and collaborative interaction rules must be established for both human learners and AI partners

Constraints¶

• Evaluated in a quasi-experimental setting with graduate students in online collaborative learning

Target Learners¶

• graduate students in online collaborative learning

Target Learning Goals¶

• collaborative knowledge construction
• effective human-AI collaboration

Affordances¶

• Symbiosis Theory Human Ai Role Design

Related Strategies¶

• Explicitly frame a group AI agent's role and design introductory activities that encourage collaborative dialogue rather than system testing

Examples¶

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Key Sources¶

• Cheng, N., Liu, H., Xu, X., Zhao, W., Qiao, L., & Zhang, G. (2026). Enhancing Human-Generative Artificial Intelligence Online Collaboration Outcomes: The Pivotal Function of Symbiotic Role Design. The International Review of Research in Open and Distributed Learning, 27(2), 46–66. https://doi.org/10.19173/irrodl.v27i2.9189