Modelling the Complexity of Measurement Estimation Situations - A Theoretical Framework for the Estimation of Lengths

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Modelling the Complexity of Measurement Estimation Situations - A Theoretical Framework for the Estimation of Lengths. / Weiher, Dana Farina; Ruwisch, Silke; Huang, Hsin-Mei E. et al.

In: mathematica didactica, Vol. 45, 2022.

Research output: Journal contributionsJournal articlesResearchpeer-review

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@article{783314b3eaa14fea99dc837ddcb3e3f3,
title = "Modelling the Complexity of Measurement Estimation Situations - A Theoretical Framework for the Estimation of Lengths",
abstract = "Abilities in estimation are important for everyday life, and investigated with different research interests. Although quite different estimation situations were used, studies usually did not address the question of task characteristics systematically. This paper presents a theoretical model that may serve as a basis for the task design in length estimation. First, key featuresof length estimation tasks were extracted by analyzing the literature. Second, these elements are varied systematically. Third, they are combined, reanalyzed, and reduced. This procedure results in a model of 228 meaningful situations for length estimation. The model may also serve as an analytical tool for comparison of studies. ",
keywords = "Didactics of Mathematics",
author = "Weiher, {Dana Farina} and Silke Ruwisch and Huang, {Hsin-Mei E.} and Jessica Hoth and Aiso Heinze",
year = "2022",
doi = "10.18716/ojs/md/2022.1593",
language = "English",
volume = "45",
journal = "mathematica didactica",
issn = "0172-8407",
publisher = "Verlag Franzbecker",

}

RIS

TY - JOUR

T1 - Modelling the Complexity of Measurement Estimation Situations - A Theoretical Framework for the Estimation of Lengths

AU - Weiher, Dana Farina

AU - Ruwisch, Silke

AU - Huang, Hsin-Mei E.

AU - Hoth, Jessica

AU - Heinze, Aiso

PY - 2022

Y1 - 2022

N2 - Abilities in estimation are important for everyday life, and investigated with different research interests. Although quite different estimation situations were used, studies usually did not address the question of task characteristics systematically. This paper presents a theoretical model that may serve as a basis for the task design in length estimation. First, key featuresof length estimation tasks were extracted by analyzing the literature. Second, these elements are varied systematically. Third, they are combined, reanalyzed, and reduced. This procedure results in a model of 228 meaningful situations for length estimation. The model may also serve as an analytical tool for comparison of studies.

AB - Abilities in estimation are important for everyday life, and investigated with different research interests. Although quite different estimation situations were used, studies usually did not address the question of task characteristics systematically. This paper presents a theoretical model that may serve as a basis for the task design in length estimation. First, key featuresof length estimation tasks were extracted by analyzing the literature. Second, these elements are varied systematically. Third, they are combined, reanalyzed, and reduced. This procedure results in a model of 228 meaningful situations for length estimation. The model may also serve as an analytical tool for comparison of studies.

KW - Didactics of Mathematics

U2 - 10.18716/ojs/md/2022.1593

DO - 10.18716/ojs/md/2022.1593

M3 - Journal articles

VL - 45

JO - mathematica didactica

JF - mathematica didactica

SN - 0172-8407

ER -