MODELING CHESS THROUGH COMBINATORICS AND PROBABILITY: AN APPLIED STUDY IN A PUBLIC SCHOOL IN MARANHÃO
DOI:
https://doi.org/10.66104/hf0q6090Keywords:
Chess, Combinatorics, Probability, Action research, Mathematics EducationAbstract
This article presents the results of a didactic–pedagogical intervention that connected concepts from Combinatorics and Probability to the game of chess, aiming to promote logical reasoning and problem-solving performance in a 2nd-year high school class at a public school in Maranhão, Brazil. The study adopted a mixed-methods approach, with an emphasis on action research, and was organized into 12 sessions: a diagnostic assessment; workshops to produce the instructional materials (3D-printed pieces and an 8×8 board made from a reused banner with Velcro); a chess workshop delivered over three sessions (history, rules, notation, strategy, and tactics); implementation of contextualized mathematical activities; and a final assessment. Data were collected through performance instruments (activities and questionnaires) and qualitative records (field notes and students’ statements). In the diagnostic assessment, performance was heterogeneous: 30% of students answered only 1 out of 8 content questions correctly, while 12.5% achieved 8 correct answers. After the intervention, accuracy rates in the mathematical activities were predominantly high in counting and basic probability items (≥80%), with difficulties concentrated in items requiring greater formalization (e.g., the binomial model and expected value). In the final questionnaire, content items showed percentages mostly above 65%, including one item with 100% correct answers, and perception items indicated high acceptance of the proposal (92.5% reported having enjoyed the activities). The findings suggest that chess, as a context for decision-making and situation modeling, is a promising pedagogical resource for making counting and probability more meaningful, provided it is accompanied by didactic mediation to support the transition from intuitive to formal reasoning.
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Copyright (c) 2026 Lays Santana Lima, Vanessa Araújo Sales, Valdemir Silva Oliveira Junior, Joselyto Barros de Aguiar, Marlus Rodrigues Conceição, Ronaldo Campelo da Costa, Roberto Arruda Lima Soares, Guilherme Luiz Oliveira Neto

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