Thoughts on AI research, educational innovation, and the journey of building bridges between technology and community.
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Teaching methods, curriculum design, and educational innovation
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International experiences, bridge-building, and personal growth
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As AI systems become more powerful and pervasive, the need for explainability becomes critical. This post explores why transparency in AI isn't just nice to have—it's essential for building trust, ensuring fairness, and enabling effective human-AI collaboration.
What I learned from teaching computer science to 350+ elementary school students. From turning algorithms into playground games to making abstraction concrete, here are the key insights that made complex concepts accessible to young minds.
Latest thoughts and updates
My journey between Eastern and Western educational systems taught me that the best learning happens when we build bridges between different perspectives. Here's how cultural diversity became my superpower in both research and teaching.
Read full article →Achieving a perfect 12/12 score in ACSL wasn't just about getting the answers right—it was about learning to help others find their own paths to success. Sometimes the most valuable lessons come from teaching, not winning.
Read full article →Mental health applications of AI require unique considerations around privacy, bias, and ethical deployment. This post explores the technical and human challenges of building AI systems that can genuinely help people's emotional wellbeing.
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