Catheryn Reardon, PhD

Human-Centered AI Metacognitive Learning Model (HAIML)

The Human-Centered AI Metacognitive Learning Model (HAIML) is a framework designed to guide how students learn with AI while maintaining human agency, critical thinking, and ethical responsibility. Rather than positioning AI as a replacement for learning, HAIML emphasizes structured engagement, reflection on how AI shapes thinking, and intentional decision-making.

AI Use Guidelines and Ethical Framework

This framework provides a structured, human-centered approach to AI use in coursework.

Purpose

This work supports the integration of AI into higher education in a way that prioritizes critical thinking, ethical awareness, and human judgment.

Research and Teaching Focus

My work focuses on human-centered AI in education, including metacognition, instructor presence, ethical AI integration, and how students experience AI-supported learning.

AI in Education Resources

Explore interactive tools designed to support skill development, ethical decision-making, and real-world AI application:

• Difficult Conversations AI Practice Tool

Contact

Email: catheryn.reardon@asu.edu

Full Bio