This article investigates how 14- to 16- year-old students interpret representations of multivariate data generated by data visualisation tools and how they then seek to construct their own meaningful data visualizations that highlight emerging important aspects of data. Students were asked a single question—about where they would like to live—that involved reasoning about a complex data set with many different variables that they were able to explore using a dynamic visualization tool that allowed them to easily generate multiple visualizations of the relevant data set. Findings show the diverse inferences that students articulated to reason about covariation between multiple variables while using the cycle of inquiry and visual analysis. Students revisited their specific kinds of inferences while using complex data visualisation tools, inventing and revising their visual representations of data. Once they obtained some necessary insight, they readily made an informed decision.
| Published in | International Journal of Secondary Education (Volume 2, Issue 4) |
| DOI | 10.11648/j.ijsedu.20140204.12 |
| Page(s) | 66-72 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Inference, Big Data, Multivariate Data, Covariation, Data Visualisations, Visualisation Tools
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APA Style
Theodosia Prodromou. (2014). Drawing Inference from Data Visualisations. International Journal of Secondary Education, 2(4), 66-72. https://doi.org/10.11648/j.ijsedu.20140204.12
ACS Style
Theodosia Prodromou. Drawing Inference from Data Visualisations. Int. J. Second. Educ. 2014, 2(4), 66-72. doi: 10.11648/j.ijsedu.20140204.12
AMA Style
Theodosia Prodromou. Drawing Inference from Data Visualisations. Int J Second Educ. 2014;2(4):66-72. doi: 10.11648/j.ijsedu.20140204.12
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Download@article{10.11648/j.ijsedu.20140204.12,
author = {Theodosia Prodromou},
title = {Drawing Inference from Data Visualisations},
journal = {International Journal of Secondary Education},
volume = {2},
number = {4},
pages = {66-72},
doi = {10.11648/j.ijsedu.20140204.12},
url = {https://doi.org/10.11648/j.ijsedu.20140204.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsedu.20140204.12},
abstract = {This article investigates how 14- to 16- year-old students interpret representations of multivariate data generated by data visualisation tools and how they then seek to construct their own meaningful data visualizations that highlight emerging important aspects of data. Students were asked a single question—about where they would like to live—that involved reasoning about a complex data set with many different variables that they were able to explore using a dynamic visualization tool that allowed them to easily generate multiple visualizations of the relevant data set. Findings show the diverse inferences that students articulated to reason about covariation between multiple variables while using the cycle of inquiry and visual analysis. Students revisited their specific kinds of inferences while using complex data visualisation tools, inventing and revising their visual representations of data. Once they obtained some necessary insight, they readily made an informed decision.},
year = {2014}
}
TY - JOUR T1 - Drawing Inference from Data Visualisations AU - Theodosia Prodromou Y1 - 2014/08/20 PY - 2014 N1 - https://doi.org/10.11648/j.ijsedu.20140204.12 DO - 10.11648/j.ijsedu.20140204.12 T2 - International Journal of Secondary Education JF - International Journal of Secondary Education JO - International Journal of Secondary Education SP - 66 EP - 72 PB - Science Publishing Group SN - 2376-7472 UR - https://doi.org/10.11648/j.ijsedu.20140204.12 AB - This article investigates how 14- to 16- year-old students interpret representations of multivariate data generated by data visualisation tools and how they then seek to construct their own meaningful data visualizations that highlight emerging important aspects of data. Students were asked a single question—about where they would like to live—that involved reasoning about a complex data set with many different variables that they were able to explore using a dynamic visualization tool that allowed them to easily generate multiple visualizations of the relevant data set. Findings show the diverse inferences that students articulated to reason about covariation between multiple variables while using the cycle of inquiry and visual analysis. Students revisited their specific kinds of inferences while using complex data visualisation tools, inventing and revising their visual representations of data. Once they obtained some necessary insight, they readily made an informed decision. VL - 2 IS - 4 ER -
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