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A machine learning approach to investigating the effects of mathematics dispositions on mathematical literacy
16 references·2 citing·42 second hop
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References

  • 2000Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being.46,804 cited
  • 1999Self-Efficacy: The Exercise of Control46,779 cited
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  • 2006The Control-Value Theory of Achievement Emotions: Assumptions, Corollaries, and Implications for Educational Research and Practice5,605 cited
  • 2005Socioeconomic Status and Academic Achievement: A Meta-Analytic Review of Research4,677 cited
  • 2012Psychological correlates of university students' academic performance: A systematic review and meta-analysis.3,639 cited
  • 2010Cross-national patterns of gender differences in mathematics: A meta-analysis.1,627 cited
  • 2007The Control-Value Theory of Achievement Emotions1,200 cited
  • 2000Intrinsic and extrinsic motivation : the search for optimal motivation and performance1,199 cited
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  • 2012Gender differences in mathematics anxiety and the relation to mathematics performance while controlling for test anxiety526 cited
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464 cited
  • 2006Predicting school achievement from general cognitive ability, self-perceived ability, and intrinsic value435 cited
  • 2013Do Girls Really Experience More Anxiety in Mathematics?410 cited
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    • 2021Discovery of the key contextual factors relevant to the reading performance of elementary school students from 61 countries/regions: insight from a machine learning-based approach38 cited
    • 2020Synergistic effects of instruction and affect factors on high- and low-ability disparities in elementary students’ reading literacy37 cited