is a fifth-year PhD student in Computer Science at the University of Massachusetts Amherst, specializing in AI education. His recent projects include applying reinforcement learning to problem recommendations and exploring script-based natural language processing. Boming has presented his work at EDULEARN25. He is passionate about teaching at all levels, from middle school summer camps to graduate-level computer science courses, always integrating the latest research into his practice. Boming aims to leverage his hands-on teaching experience to inform and enhance his research perspective.
last update: May 2025
Articles published on IXD&A:
• ‘Grand Challenges in AI and Education Beyond 2030’, N. 64, 2025, pp. 28 – 62, abstract, download, (https://doi.org/10.55612/s-5002-064-001sp), Google Scholar
"Artificial intelligence (AI) has made large changes in major industries and disrupted or reorganized many disciplines. As a result, traditional educational practices need to be reexamined to enable l..."
"Artificial intelligence (AI) has made large changes in major industries and disrupted or reorganized many disciplines. As a result, traditional educational practices need to be reexamined to enable l..."
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