Design for Reasoning with Uncertainty

Author:

Braham Hana Manor,Ben-Zvi Dani

Publisher

Springer International Publishing

Reference51 articles.

1. Ainley, J., Gould, R., & Pratt, D. (2015). Learning to reason from samples: Commentary from the perspectives of task design and the emergence of “big data”. Educational Studies in Mathematics, 88(3), 405–412.

2. Ainley, J., & Pratt, D. (2010). It’s not what you know, it’s recognising the power of what you know: Assessing understanding of utility. In C. Reading (Ed.), Proceedings of the 8th International Conference on the Teaching of Statistics (ICOTS). Ljubljana, Slovenia: International Statistical Institute and International Association for Statistical Education. Retrieved from http://www.Stat.Auckland.Ac.Nz/˜IASE/Publications .

3. Ainley, J., Pratt, D., & Hansen, A. (2006). Connecting engagement and focus in pedagogic task design. British Educational Research Journal, 32(1), 23–38.

4. Aridor, K., & Ben-Zvi, D. (2018). Statistical modeling to promote students’ aggregate reasoning with sample and sampling. ZDM—International Journal on Mathematics Education. https://doi.org/10.1007/s11858-018-0994-5 .

5. Arnold, P., Confrey, J., Jones, R. S., Lee, H. S., & Pfannkuch, M. (2018). Statistics learning trajectories. In D. Ben-Zvi, K. Makar, & J. Garfield (Eds.), International handbook of research in statistics education (pp. 295–326). Cham: Springer.

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