ד"ר מיכל דביר

אחרמרצה
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משרד: חדר 669, בניין חינוך

אודות

Dr. Michal Dvir is a faculty member in the Department of Mathematics Education. Her research primarily investigates the nurturing of and statistical reasoning, essential for navigating a data-centric world. Dr. Dvir’s work addresses the critical pedagogical challenge of making complex mathematical content accessible and relevant. Her core expertise lies in Mathematical and Statistical Modeling and the design of innovative learning environments that maintain high authenticity to practice and the learner’s experience.

Designing and researching Mathematical classroom cultures; Designing and researching Mathematical teachers’ training programs; Statistical modeling-centered pedagogies; Authenticity; Humanistic learning communities; Students’ purposes; The interrelations between statistics and science.

  • Dvir, M., & Tsybulsky, D. (2025). Facilitating the Design and Analysis of Middle School Students’ Reasoning in the Context of Citizen Science: A Framework of the Interrelations Between Statistical, Scientific, and Nature of Science Reasoning with Data-based Claims. Science & Education, 1-37. https://doi.org/10.1007/s11191-025-00637-0
  • Gafny, R., Dvir, M., & Ben-Zvi, D. (2024). Novices’ Reasoning with Big Data and Data-ing Through the Lens of Uncertainty. ZDM–Mathematics Education. (Published: 16 November 2024; https://doi.org/10.1007/s11858-024-01646-z
  • Hod, Y., Dvir, M., & Tueg, S. (2023). From turtle in a shell to one that wins the race: noticing identities in interactive classroom learning communities. Interactive Learning Environments, 32(9), 5711-5723. https://doi.org/10.1080/10494820.2023.2225078
  • Aridor, K., Dvir, M.*[1], Tsybulsky, D. & Ben-Zvi, D. (2023). Living the DReaM: The interrelations between statistical, scientific and nature of science uncertainty articulations through citizen science. Instructional Science, 51(2), 729–762. https://doi.org/10.1007/s11251-023-09626-8
  • Dvir, M., & Ben-Zvi, D. (2023). Fostering students’ informal quantitative estimations of uncertainty through statistical modeling. Instructional Science51(3), 423-450. https://doi.org/10.1007/s11251-023-09622-y
  • Dvir, M., & Ben-Zvi, D. (2023). Informal statistical models and modeling. Mathematical Thinking and Learning, 25(1), 79-99. https://doi.org/10.1080/10986065.2021.1925842
  • Dvir, M., & Ben‐Zvi, D. (2022). Students’ actual purposes when engaging with a computerized simulation in the context of citizen science. British Journal of Educational Technology, 53(5), 1069-1477. http://dx.doi.org/10.1111/bjet.13238
  • Hod, Y., & Dvir, M. (2022). Identity Artifacts: Resources that facilitate transforming participation in blended learning communities. The Internet and Higher Education54, 100846. https://doi.org/10.1016/j.iheduc.2022.100846
  • Dvir, M., & Ben-Zvi, D. (2021). The double-edged sword of conjecturing. Mathematical Thinking and Learning, 25(2), 153-176. https://doi.org/10.1080/10986065.2021.1940427
  • Dvir, M., & Ben-Zvi, D. (2018). The role of model comparison in young learners’ reasoning with statistical models and modeling. ZDM – International Journal on Mathematics Education, 50(7), 1183-1196.https://doi.org/10.1007/s11858-018-0987-4

2017-2021

PhD in Mathematics Education, University of Haifa, Supervisors: Prof. Dani Ben Zvi and Dr. Yotam Hod, Young learners’ reasoning with informal statistical models and modeling

2014 – 2017

  MA (summa cum laude) in Mathematics Education, University of Haifa, Supervisor: Prof. Dani Ben-Zvi, Young children’s reasoning with statistical models and modeling in an exploratory data analysis setting

2003 – 2007

BSc in Mathematics, Technion, Israel Institute of Technology