TinkerPlots software is designed to get students from primary to age 13 excited about what they can learn from data. You and your students will analyse data by creating colourful visual representations that will help your students make sense out of real data and recognise patterns as they unfold. TinkerPlots is the optimal tool to help your students master probability and statistics concepts in the National Curriculum.

References in zbMATH (referenced in 39 articles )

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  1. Biehler, Rolf; Frischemeier, Daniel; Podworny, Susanne: Stochastic simulations with TinkerPlots -- from simple random experiments to informal hypothesis testing (2016) MathEduc
  2. Callingham, Rosemary; Carmichael, Colin; Watson, Jane M.: Explaining student achievement: the influence of teachers’ pedagogical content knowledge in statistics (2016) MathEduc
  3. Engel, Joachim: Functions, data and models: connecting central topics of the mathematics curriculum (2016) MathEduc
  4. Ainley, Janet; Gould, Robert; Pratt, Dave: Learning to reason from samples: commentary from the perspectives of task design and the emergence of “big data” (2015) MathEduc
  5. Biehler, Rolf; Frischemeier, Daniel: “Do men earn more than women?” -- Exploring real data using the software TinkerPlots in stochastics instruction (2015) MathEduc
  6. Biehler, Rolf; Frischemeier, Daniel; Podwor, Susanne: Informal hypothesis testing with simulation support in the lower secondary school level (2015) MathEduc
  7. English, Lyn D; Watson, Jane M: Exploring variation in measurement as a foundation for statistical thinking in the elementary school (2015) MathEduc
  8. Garfield, Joan; Le, Laura; Zieffler, Andrew; Ben-Zvi, Dani: Developing students’ reasoning about samples and sampling variability as a path to expert statistical thinking (2015) MathEduc
  9. Meletiou-Mavrotheris, Maria; Paparistodemou, Efi: Developing students’ reasoning about samples and sampling in the context of informal inferences (2015) MathEduc
  10. Saldanha, Luis: Using TinkerPlots software to learn about sampling variability and distributions as a basis for making informal statistical inferences (2015) MathEduc
  11. Watson, Jane M.; English, Lyn D.: Introducing the practice of statistics: are we environmentally friendly? (2015) MathEduc
  12. Ben-Zvi, Dani; Ben-Arush, Tali: EDA instrumented learning with TinkerPlots (2014) MathEduc
  13. delMas, Robert; Garfield, Joan; Zieffler, Andrew: Using TinkerPlots to develop tertiary students’ statistical thinking in a modeling-based introductory statistics class (2014) MathEduc
  14. English, Lyn D.; Watson, Jane M.: Statistical literacy in the elementary school: opportunities for problem posing (2014) MathEduc
  15. Fitzallen, Noleine; Watson, Jane: Developing a sequence of learning experiences in statistics (2014) MathEduc
  16. Frischemeier, Daniel; Podworny, Susanne: Explorative data analysis and stochastic simulation with TinkerPlots -- first uses in Kassel & Paderborn (2014) MathEduc
  17. Okumuş, Samet; Thrasher, Emily: Prospective secondary mathematics teachers’ construction of box plots and distributional reasoning with three construction tools (2014) MathEduc
  18. Watson, Jane: TinkerPlots as an interactive tool for learning about resampling (2014) MathEduc
  19. Wilkerson-Jerde, Michelle Hoda: Construction, categorization, and consensus: student generated computational artifacts as a context for disciplinary reflection (2014) MathEduc
  20. Biehler, Rolf; Ben-Zvi, Dani; Bakker, Arthur; Makar, Katie: Technology for enhancing statistical reasoning at the school level (2013) MathEduc

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