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This study examines how AI teammates influence team collaboration in educational settings using a randomized controlled trial (RCT). Undergraduate students were randomly assigned to teams with or without an AI collaborator and completed a structured problem-solving task in an online chat-based platform. We compared participants’ perceptions of knowledge co-construction and collaborative decision-making across conditions. Results indicate human-only teams reported significantly more mutual learning and inclusive idea consideration, while AI-assisted teams achieved higher agreement on final solutions. Findings highlight trade-offs between efficiency and inclusivity in human-AI teaming and offer implications for designing AI tools that support effective educational collaboration.