Student's Causal Explanations for Distribution

Theodosia Prodromou; Dave Pratt

Student's Causal Explanations for Distribution

Theodosia Prodromou, Dave Pratt

STEM Education

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a case study of two students aged 14-15, as they attempt to make sense of distribution, adopting a range of causal meanings for the variation observed in the animated computer display and in the graphs generated by the simulation. The students' activity is analysed through dimensions of complex causality. The results indicate support for our conjecture that carefully designed computer simulations can offer new ways for harnessing causality to facilitate students' meaning-making for variation in distributions of data. In order to bridge the deterministic and the stochastic, the students transfer agency to specially designed active representations of distributional parameters, such as average and speed.

Original language	English
Title of host publication	Proceedings of the Sixth Congress of the European Society for Research in Mathematics Education
Editors	Viviane Durand-Guerrier, Sophie Soury-Lavergne, Ferdinando Arzarello
Place of Publication	Online
Publisher	Institut National de Recherche Pedagogique [French Institute of Education] (INRP)
Pages	394-403
ISBN (Print)	9782734211907
Publication status	Published - 2009
Event	CERME 6: 6th Congress of the European Society for Research in Mathematics Education - Lyon, France Duration: 28 Jan 2009 → 1 Feb 2009

Conference

Conference	CERME 6: 6th Congress of the European Society for Research in Mathematics Education
City	Lyon, France
Period	28/01/09 → 1/02/09

Keywords

Probability Theory
Stochastic Analysis and Modelling
Secondary Education

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https://hdl.handle.net/1959.11/8375

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Prodromou, T., & Pratt, D. (2009). Student's Causal Explanations for Distribution. In V. Durand-Guerrier, S. Soury-Lavergne, & F. Arzarello (Eds.), Proceedings of the Sixth Congress of the European Society for Research in Mathematics Education (pp. 394-403). Institut National de Recherche Pedagogique [French Institute of Education] (INRP). https://hdl.handle.net/1959.11/8375

Prodromou, Theodosia ; Pratt, Dave. / Student's Causal Explanations for Distribution. Proceedings of the Sixth Congress of the European Society for Research in Mathematics Education. editor / Viviane Durand-Guerrier ; Sophie Soury-Lavergne ; Ferdinando Arzarello. Online : Institut National de Recherche Pedagogique [French Institute of Education] (INRP), 2009. pp. 394-403

@inproceedings{e0abda9e9af14f11945a7931d414b30d,

title = "Student's Causal Explanations for Distribution",

abstract = "This paper presents a case study of two students aged 14-15, as they attempt to make sense of distribution, adopting a range of causal meanings for the variation observed in the animated computer display and in the graphs generated by the simulation. The students' activity is analysed through dimensions of complex causality. The results indicate support for our conjecture that carefully designed computer simulations can offer new ways for harnessing causality to facilitate students' meaning-making for variation in distributions of data. In order to bridge the deterministic and the stochastic, the students transfer agency to specially designed active representations of distributional parameters, such as average and speed.",

keywords = "Probability Theory, Stochastic Analysis and Modelling, Secondary Education",

author = "Theodosia Prodromou and Dave Pratt",

year = "2009",

language = "English",

isbn = "9782734211907",

pages = "394--403",

editor = "Viviane Durand-Guerrier and Sophie Soury-Lavergne and Ferdinando Arzarello",

booktitle = "Proceedings of the Sixth Congress of the European Society for Research in Mathematics Education",

publisher = "Institut National de Recherche Pedagogique [French Institute of Education] (INRP)",

note = "CERME 6: 6th Congress of the European Society for Research in Mathematics Education ; Conference date: 28-01-2009 Through 01-02-2009",

}

Prodromou, T & Pratt, D 2009, Student's Causal Explanations for Distribution. in V Durand-Guerrier, S Soury-Lavergne & F Arzarello (eds), Proceedings of the Sixth Congress of the European Society for Research in Mathematics Education. Institut National de Recherche Pedagogique [French Institute of Education] (INRP), Online, pp. 394-403, CERME 6: 6th Congress of the European Society for Research in Mathematics Education, Lyon, France, 28/01/09. <https://hdl.handle.net/1959.11/8375>

Student's Causal Explanations for Distribution. / Prodromou, Theodosia; Pratt, Dave.
Proceedings of the Sixth Congress of the European Society for Research in Mathematics Education. ed. / Viviane Durand-Guerrier; Sophie Soury-Lavergne; Ferdinando Arzarello. Online: Institut National de Recherche Pedagogique [French Institute of Education] (INRP), 2009. p. 394-403.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Student's Causal Explanations for Distribution

AU - Prodromou, Theodosia

AU - Pratt, Dave

PY - 2009

Y1 - 2009

N2 - This paper presents a case study of two students aged 14-15, as they attempt to make sense of distribution, adopting a range of causal meanings for the variation observed in the animated computer display and in the graphs generated by the simulation. The students' activity is analysed through dimensions of complex causality. The results indicate support for our conjecture that carefully designed computer simulations can offer new ways for harnessing causality to facilitate students' meaning-making for variation in distributions of data. In order to bridge the deterministic and the stochastic, the students transfer agency to specially designed active representations of distributional parameters, such as average and speed.

AB - This paper presents a case study of two students aged 14-15, as they attempt to make sense of distribution, adopting a range of causal meanings for the variation observed in the animated computer display and in the graphs generated by the simulation. The students' activity is analysed through dimensions of complex causality. The results indicate support for our conjecture that carefully designed computer simulations can offer new ways for harnessing causality to facilitate students' meaning-making for variation in distributions of data. In order to bridge the deterministic and the stochastic, the students transfer agency to specially designed active representations of distributional parameters, such as average and speed.

KW - Probability Theory

KW - Stochastic Analysis and Modelling

KW - Secondary Education

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SN - 9782734211907

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BT - Proceedings of the Sixth Congress of the European Society for Research in Mathematics Education

A2 - Durand-Guerrier, Viviane

A2 - Soury-Lavergne, Sophie

A2 - Arzarello, Ferdinando

PB - Institut National de Recherche Pedagogique [French Institute of Education] (INRP)

CY - Online

T2 - CERME 6: 6th Congress of the European Society for Research in Mathematics Education

Y2 - 28 January 2009 through 1 February 2009

ER -

Student's Causal Explanations for Distribution

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