Hello, I am Chip Li, a Ph.D. student in Educational Technology (EdTech) at the College of Education at the University of Florida (UF), working under the supervision of Dr. Anthony Botelho at VIABLE Lab. My research focuses on Learning Analytics, Educational Data Mining, and AI in education, particularly developing explainable AI systems for educational feedback and enhancing collaborative learning environments. Through my work, I aim to strengthen students' STEM+C (Science, Technology, Engineering, Mathematics, and Computing) capabilities while fostering AI literacy and computational thinking skills essential for tomorrow's workforce. With solid experience in machine learning and full-stack development, I develop AI-powered educational platforms and tools that support learners and empower educators with intelligent instructional design capabilities. I actively contribute to research projects funded by the National Science Foundation, Gates Foundation, and OpenAI, applying my technical and research expertise to advance evidence-based approaches in STEM education and teacher development. I also maintain active engagement in machine learning practice through Kaggle competitions, where I have achieved Data Science Master status with consistent performance in the top 1% globally.

Before my doctoral studies, I held two Master's degrees: one from Johns Hopkins University, where I specialized in learning sciences and digital technology integration in education, and another from the University of Southampton (UK), where I concentrated on educational theory and research methodology. My foundation in education began at Capital Normal University, focusing on elementary education and linguistics. As an educator, I have served as both a teaching assistant and a research assistant, and I have taught in both urban and rural elementary schools, where I witnessed firsthand the importance of equipping students with essential STEM and computational skills for their future success.