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  • 标题:Enhancing Students' Inferential Reasoning: From Hands-On To "Movies"
  • 本地全文:下载
  • 作者:Pip Arnold ; Maxine Pfannkuch ; Chris J. Wild
  • 期刊名称:Journal of Statistics Education
  • 电子版ISSN:1069-1898
  • 出版年度:2011
  • 卷号:19
  • 期号:2
  • 出版社:American Statistical Association
  • 摘要:

    Computer simulations and animations for developing statistical concepts are often not understood by beginners. Hands-on physical simulations that morph into computer simulations are teaching approaches that can build students' concepts. In this paper we review the literature on visual and verbal cognitive processing and on the efficacy of animations in promoting learning. We describe an instructional sequence, from hands-on to animations, developed for 14 year-old students. The instruction focused on developing students' understanding of sampling variability and using samples to make inferences about populations. The learning trajectory from hands-on to animations is analyzed from the perspective of multimedia learning theories while the learning outcomes of about 100 students are explored, including images and reasoning processes used when comparing two box plots. The findings suggest that carefully designed learning trajectories can stimulate students to gain access to inferential concepts and reasoning processes. The role of verbal, visual, and sensory cues in developing students' reasoning is discussed and important questions for further research on these elements are identified.

  • 关键词:Animations; Cognitive theories; Comparing groups; Informal inferential ;reasoning; Statistical inference
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