Ken Hartness

Papers

Total Citations

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About

Ken Hartness is a pioneer in game-based computer science education, best known for leveraging the Robocode platform to teach artificial intelligence and introductory programming. His most influential work, "Robocode: using games to teach artificial intelligence" (2004, 50 citations), demonstrates how competitive, Java-based robot battles can make abstract AI concepts—such as search algorithms, decision trees, and neural networks—tangible and engaging for students. By providing a ready-made environment where learners can implement and test algorithms in real-time, Hartness transformed traditional lecture-based AI courses into dynamic, hands-on experiences. In a related paper, "Robocode: a fun way to learn to program" (2004), he extended this approach to CS1, showing how modifying a working game can sustain student motivation while building core programming skills. Hartness’s contributions have had a lasting impact on pedagogical practices, inspiring educators to adopt game-centric curricula that improve retention and comprehension. His work remains a cornerstone reference for those integrating play into technical education, proving that fun and rigorous learning are not mutually exclusive.