心态
概念化
心理学
数学教育
学业成绩
社会心理学
计算机科学
人工智能
作者
Connie Barroso,Colleen M. Ganley,Robert C. Schoen,Christopher Schatschneider
标识
DOI:10.1016/j.cedpsych.2023.102179
摘要
Children’s growth and fixed intelligence mindsets in mathematics are noted as important sources of mathematics motivation and achievement. Nuanced beliefs about the malleability of mathematics intelligence that lie between fixed and growth mindsets may also be important to consider for children’s mathematics learning, yet little is known about whether children endorse these in-between beliefs and how they fit in the popular growth and fixed mindset framework. In this study, we investigated nuanced mindsets in mathematics, which we term “mixed” intelligence mindsets, alongside fixed and growth mindsets in a sample of 698 third-grade students in the United States. Factor analyses using data from a newly developed mathematics intelligence mindset scale indicated good and similar fit of three multidimensional models. Two of these models included mixed mindset items, one with a combined growth and mixed mindset factor and another with a separated mixed mindset factor. Strong positive correlations were found between the growth and mixed mindset factors. Mathematics achievement had a moderate positive correlation with mixed mindset and a moderate negative correlation with fixed mindset. These correlations were both significantly stronger than the small correlation between mathematics achievement and growth mindset. Our findings suggest mathematics intelligence mindset is multidimensional and the addition of a mixed mindset aspect could improve the adequacy and precision of the conceptualization and measurement of the growth mindset dimension. In practice, mixed mindsets may provide teachers and parents with more flexible messages to present to children when encouraging them to engage in adaptive achievement behaviors in mathematics.
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