Papers
23
Total Citations
1,224
H-Index
13
About
Fred Martin is a leading figure in computer science education, best known for pioneering work in K-12 AI education and robotics-based learning. As co-chair of the AAAI-CSTA working group, he helped author the first national guidelines for teaching artificial intelligence to K-12 students—a landmark effort that produced the widely cited 2019 paper "Envisioning AI for K-12" (787 citations). His research spans AI literacy, computational thinking, and broadening participation in computing through creative, hands-on approaches. Martin's doctoral work at MIT produced the foundational "Circuits to Control" (62 citations), which explored learning engineering via LEGO robots, and his book *Robotic Explorations* (88 citations) remains a key resource for introductory engineering education. He also developed the Artbotics program (39 citations), merging art and robotics to attract diverse students to computer science. With over 1,100 total citations and a career dedicated to making computing accessible and meaningful for all learners, Martin's contributions have shaped how educators teach AI and robotics from elementary school through university.
Research Focus
Key Achievements
Top Papers
- 1Envisioning AI for K-12: What Should Every Child Know about AI?787 citations · 2019
- 2Robotic Explorations: A Hands-On Introduction to Engineering88 citations · 2019
- 3Circuits to control--learning engineering by designing LEGO robots62 citations · 1994
- 4Artbotics: Combining Art and Robotics to Broaden Participation in Computing39 citations · 2007
- 5Special Session32 citations · 2019
- 6AI for K-1229 citations · 2019
- 7LEGO/Logo and Electronic Bricks: Creating a Scienceland for Children26 citations · 1993
- 8CUDA accelerated robot localization and mapping23 citations · 2013
- 9Chirp on crickets22 citations · 2006
- 10Robotic mapping assisted by local magnetic field anomalies18 citations · 2011