Human-Centered, Ethical, and Reflective Approaches to Teaching and Learning with AI
This page brings together resources for students, educators, and academic communities who want to engage with artificial intelligence in ways that remain ethical, reflective, and human-centered. My approach emphasizes that AI should support learning rather than replace thinking.
These materials are informed by my work in human-centered AI, metacognition, online learning, and the Human-Centered AI Metacognitive Learning Model (HAIML).
AI can support brainstorming, organization, and revision, but students must remain the primary thinkers and authors of their work. AI should not replace analysis, reflection, or academic responsibility.
Always review and verify AI-generated output. These tools can produce inaccuracies, bias, or fabricated information. Responsible use requires critical evaluation and thoughtful revision.
Faculty can use AI to support course design, feedback, and instructional planning. Effective integration requires clear expectations, intentional design, and continued human oversight.
Human-centered AI use should preserve student agency, promote active learning, and encourage reflection rather than dependence.
"Help me generate three approaches to this topic and evaluate each."
"Explain this concept clearly while maintaining academic accuracy."
"Improve clarity and organization without changing my argument."
"What assumptions or perspectives might be missing?"
"Ask me questions that help me reflect on my reasoning."