Papers

4

Total Citations

334

H-Index

4

About

Tobias Kohn is a computing education researcher whose work sits at the dynamic intersection of programming pedagogy, artificial intelligence, and K-12 STEM learning. He has emerged as a prominent voice in one of the field's most urgent conversations: how educators and institutions should respond to the rapid rise of generative AI and large language models (LLMs) in academic settings. Kohn's most impactful contribution, "The Robots Are Here: Navigating the Generative AI Revolution in Computing Education" (2023), has amassed an impressive 310 citations, reflecting the timeliness and reach of his thinking on how LLMs are reshaping both the teaching and learning of programming. His subsequent review, "From Imitation Games to Robot-Teachers" (2025), extends this inquiry by critically examining the pedagogical role LLMs might play, urging thoughtful rather than reactive integration into curricula. Beyond AI, Kohn has explored robotics as a vehicle for motivating students in computing and problem-solving contexts, arguing for its complementary role alongside traditional programming instruction. Across his body of work, Kohn consistently bridges theoretical insight with practical educational application, making his research essential reading for anyone grappling with the future of computing education.

Research Focus

Key Achievements

4
H-Index
4
Papers
334
Total Citations
84
Avg Citations/Paper
🏆 Most Cited Paper
The Robots Are Here: Navigating the Generative AI Revolution in Computing Education
310 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Karlsruhe Institute of Technology, University of Cambridge, Abilene Christian University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago