Assigning AI: Seven Approaches for Students, with Prompts

Understand

This paper examines the transformative role of Large Language Models (LLMs) in education and their potential as learning tools, despite their inherent risks and limitations.

• The authors propose seven approaches for utilizing AI in classrooms: AI-tutor, AI-coach, AI-mentor, AI-teammate, AI-tool, AI-simulator, and AI-student, each with distinct pedagogical benefits and risks.
• The aim is to help students learn with and about AI, with practical strategies designed to mitigate risks such as complacency about the AI's output, errors, and biases.
• These strategies promote active oversight, critical assessment of AI outputs, and complementarity of AI's capabilities with the students' unique insights.