AI & Education Reflections

Notes on research papers, including key ideas, methodological choices, limitations, and questions worth carrying into future work.

Open questions about AI systems, human behaviour, trust, decision-making, adoption, engagement, and real-world outcomes.

Early ideas for testing AI recommendations, explanations, personalization, agents, and human support inside real digital products.

Broader reflections connecting technical learning, product development, research, and observations from real users.