Susan P. Imberman

About

Susan P. Imberman is a pioneer in hands-on, project-based computing education, with her work centering on the innovative use of robotics to teach core artificial intelligence and computer science concepts. Her major contribution lies in demonstrating that low-cost LEGO® Handy Board robots can make abstract topics like neural networks and backpropagation tangible for undergraduates. Her most influential paper (22 citations) introduces this agent-based approach for AI courses, while a subsequent work (20 citations) successfully extends the concept to CS1, using robotics to reinforce fundamental programming constructs like repetition and selection. Imberman’s impact is evident in the sustained adoption of her creative assignments, such as a modified Turing Test project that engages students with online chatbots. Notably, she has also integrated robotics into general education, making computing accessible to non-majors. Through her practical, engaging methodologies, Imberman has shaped how generations of students first encounter artificial intelligence and programming.

Research Focus

Key Achievements

Top Papers

1. 1
   Teaching neural networks using LEGO handy board robots in an artificial intelligence course

   22 citations · 2003
2. 2
   A robotics lab for CS1

   20 citations · 2005
3. 3
   An intelligent agent approach for teaching neural networks using LEGO® handy board robots

   15 citations · 2004
4. 4
   Three fun assignments for an Artificial Intelligence class

   10 citations · 2005
5. 5
   Teaching neural networks using LEGO handy board robots in an artificial intelligence course

   7 citations · 2003
6. 6
   Robotics As A Component Of A General Education Course

   3 citations · 2008

Key Collaborators

Contact & Links