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 )

Showing results 21 to 39 of 39.
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  1. Biehler, Rolf; Frischemeier, Daniel: Playful learning of data analysis -- from data cards and living statistics to the software TinkerPlots -- a workshop as part of an in-service primary teacher training (2013) MathEduc
  2. Fitzallen, Noleine Elizabeth: Characterising students’ interaction with TinkerPlots (2013) MathEduc
  3. Frischemeier, Daniel; Biehler, Rolf: Design and exploratory evaluation of a learning trajectory leading to do randomization tests facilitated by TinkerPlots (2013) MathEduc
  4. Groth, Randall E.: A day in the life of a statistical knowledge for teaching course (2013) MathEduc
  5. Kazak, Sibel; Wegerif, Rupert; Fujita, Taro: `I get it now!’ Stimulating insights about probability through talk and technology (2013) MathEduc
  6. Ruppert, Markus: Discovering statistical connections with \textttTinkerplots (2013) MathEduc
  7. Watson, Jane M.: Resampling with TinkerPlots (2013) MathEduc
  8. Zieffler, Andrew; Isaak, Rebekah; Garfield, Joan: The course as textbook: a symbiotic relationship in the introductory statistics class (2013) MathEduc
  9. Ben-Zvi, Dani; Aridor, Keren; Makar, Katie; Bakker, Arthur: Students’ emergent articulations of uncertainty while making informal statistical inferences (2012) MathEduc
  10. Gal, Ya’akov; Reddy, Swapna; Shieber, Stuart M.; Rubin, Andee; Grosz, Barbara J.: Plan recognition in exploratory domains (2012) ioport
  11. Garfield, Joan; delMas, Robert; Zieffler, Andrew: Developing statistical modelers and thinkers in an introductory, tertiary-level statistics course (2012) MathEduc
  12. Lehrer, Richard; Kim, Min-Joung; Jones, Ryan Seth: Developing conceptions of statistics by designing measures of distribution (2011) MathEduc
  13. Lee, Victor R.; Dumont, Maneksha: An exploration into how physical activity data-recording devices could be used in computer-supported data investigations (2010) MathEduc
  14. Lehrer, Richard; Kim, Min-Joung: Structuring variability by negotiating its measure (2009) MathEduc
  15. Maxara, Carmen: Stochastic simulation of random experiment with Fathom. A theoretical tool analysis and exploratory case study (2009) MathEduc
  16. Meletiou-Mavrotheris, Maria; Paparistodemou, Efi; Stylianou, Despina: Enhancing statistics instruction in elementary schools: integrating technology in professional development (2009) MathEduc
  17. Abrahamson, Dor; Wilensky, Uri: Learning axes and bridging tools in a technology-based design for statistics (2007) MathEduc
  18. Konold, Cliff; Harradine, Anthony; Kazak, Sibel: Understanding distributions by modeling them (2007) MathEduc
  19. Lehrer, Richard; Kim, Min-Joung; Schauble, Leona: Supporting the development of conceptions of statistics by engaging students in measuring and modeling variability (2007) MathEduc