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Milena Carolina dos Santos Mangueira; Francisco Regis Vieira Alves; Paula Maria Machado Cruz Catarino; Elen Viviani Pereira Spreafico – Pedagogical Research, 2024
This work is a segment of an ongoing doctoral research in Brazil. The Leonardo numbers and the Leonardo sequence have gained attention from mathematicians and the academic community. Despite being a relatively new sequence within mathematical literature, its discussion has intensified over the past five years, giving rise to other branches, with…
Descriptors: Mathematics Instruction, Teaching Methods, Doctoral Students, Mathematics
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Zazueta-Hernández, Jorge Antonio; López-Barrientos, José Daniel – Teaching Statistics: An International Journal for Teachers, 2021
This paper walks the reader through a simple mathematical characterization of the popular children's game, "Chutes and Ladders," focusing primarily on Monte Carlo simulation. The focus is then shifted to the board game "No Te Enojes" in order to analyze the implications of the introduction of strategy. The presence of strategy…
Descriptors: Games, Monte Carlo Methods, Generalization, Mathematics
Tamara Broderick; Andrew Gelman; Rachael Meager; Anna L. Smith; Tian Zheng – Grantee Submission, 2022
Probabilistic machine learning increasingly informs critical decisions in medicine, economics, politics, and beyond. To aid the development of trust in these decisions, we develop a taxonomy delineating where trust in an analysis can break down: (1) in the translation of real-world goals to goals on a particular set of training data, (2) in the…
Descriptors: Taxonomy, Trust (Psychology), Algorithms, Probability