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Possible Roles for an AI Tutor

According to Mollick and Mollick (2024), AI tutors can be assigned various roles to enhance student learning in the classroom, including the following:

  • AI as Tutor: Provides direct instruction and educational guidance, pushing students to generate responses and think through problems.
  • AI as Coach: Helps students engage in metacognition by reflecting on past experiences or planning for future projects.
  • AI as Mentor: Offers frequent and ongoing feedback on student work.
  • AI as Teammate: Increases collaborative intelligence by prompting discussions and offering alternative viewpoints in group settings.
  • AI as Student: Allows students to “teach” the AI about a topic, evaluating its output and correcting inaccuracies, which enhances the student’s own understanding.
  • AI as Simulator: Creates opportunities for practicing hard-to-practice skills through role-playing scenarios, allowing students to apply knowledge and receive performance feedback.
  • AI as Tool: Extends student performance by assisting with various tasks like writing software or analyzing data.

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AI in Action: A SUNY FACT2 Guide to Optimizing AI in Higher Education Copyright © 2025 by SUNY FACT2 Task Group on AI in Action; Kati Ahern; Nicola Marae Allain; Abigail Bechtel; Angie Chung; Billie Franchini; Meghanne Freivald; Ken Fujiuchi; Dana Gavin; Jack Harris; Keith Landa; Alla Myzelev; Victoria Pilato; Ahmad Pratama; Russell V. Rittenhouse; Carrie Solomon; Angela C. Thering; and Shyam Sharma is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, except where otherwise noted.