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- W4318317966 abstract "Focusing solely on correctness yields an incomplete understanding of what children know and can do mathematically. In a randomized teaching experiment on length-measurement, we used a validated learning trajectory to code the relative sophistication of 186 kindergarteners’ problem-solving behavior for 26 assessment items (56% girls, 5-6 years old at preassessment). Although inter-rater reliability was attained, some problem-solving behaviors were not detectable or codable. To this end, we developed a novel Bayesian mixture model to analyze strategy sophistication in the presence of missing data with informative patterns. Results indicate that students assigned to the learning trajectories condition were more likely to use detectable, mathematically relevant problem-solving strategies than their peers in two comparison conditions and that their strategies were also more sophisticated." @default.
- W4318317966 created "2023-01-28" @default.
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- W4318317966 date "2023-01-27" @default.
- W4318317966 modified "2023-10-16" @default.
- W4318317966 title "Modeling Kindergarten Students’ Problem-Solving Strategy Sophistication for Length-Measurement: The Hurdle Model Approach" @default.
- W4318317966 doi "https://doi.org/10.31234/osf.io/p4qjf" @default.
- W4318317966 hasPublicationYear "2023" @default.
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