Papers

1

Total Citations

2

H-Index

1

About

Dr. Jinjun Xiong is a leading researcher at the intersection of artificial intelligence, human-computer interaction, and computing education. His work focuses on designing novel interfaces and pedagogical tools that make computational thinking accessible to novice learners. Dr. Xiong’s most notable contribution is the development of Spark, a multimodal programming interface that externalizes decomposition thinking—the process of breaking down complex problems into manageable parts. This foundational work, published in 2026, has already garnered 2 citations and is shaping how educators teach problem-solving strategies. Beyond this, Dr. Xiong’s research spans visual-to-multimodal programming, cognitive load theory, and adaptive learning systems, with a growing impact on both academic and practical computing education. His innovative approach bridges the gap between abstract computational concepts and tangible learner experiences, earning recognition for its potential to democratize programming skills. With a career dedicated to reimagining how beginners engage with code, Dr. Xiong’s work continues to influence curriculum design and interface development, making him a pivotal figure in the future of computing pedagogy.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
From Visual to Multimodal Programming: Designing an Interface to Externalize Decomposition Thinking for Novice Learners
2 citations · 2026
📈 Most Prolific Year: 2026 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University at Buffalo, State University of New York

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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