Enrica Lemut

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About

Enrica Lemut’s research lies at the intersection of mathematics education, probability theory, and computational thinking, with a particular focus on how young learners grasp abstract concepts like randomness. Her most influential work, “Randomness and LEGO robots” (2005, 9 citations), pioneered the use of tangible, programmable robots to help 12–13-year-old students explore stochastic phenomena through hands-on experimentation. This paper, presented at CERME 4, demonstrated how LEGO RCX robots could serve as physical models for probabilistic events, bridging the gap between concrete experience and mathematical abstraction. In a subsequent study (2007, 2 citations), Lemut extended this work by designing a microworld that “implanted a germ of probability” in students’ thinking, tracking their conceptual development across a long-term experiment. Her contributions are notable for integrating constructionist learning theories with probability education, offering a replicable framework for teaching randomness that moves beyond traditional dice-and-coin exercises. While her citation counts reflect a focused, specialized audience, Lemut’s work has influenced researchers in mathematics education and educational robotics, particularly those interested in early probabilistic reasoning. Her approach remains a touchstone for educators seeking to make probability tangible for middle-school students.