Enhancing Data Visualization Literacy: A Comparative Study of Learning Materials in Schools

Interpreting data visualizations is an essential skill in today's education, yet students often struggle with understanding unfamiliar formats. This study investigates how four learning materials - textbook, comic, video, and game - affect middle- and high school students' ability to interpret line charts, area charts, stacked area charts, and stream graphs. We conducted a comparative classroom study with 68 students, using pre- and post-tests, worksheet activities, and group discussions to assess learning outcomes and understanding. Our results show statistically significant improvement in students' understanding of stacked area charts and stream graphs, while no significant differences between the learning materials were found. This suggests that more factors than initially anticipated - such as engagement, motivation and active learning strategies - influence the learning outcome. The analysis of the worksheets revealed that while students could infer surface-level insights from charts, over 70% struggled to identify underlying patterns or relationships. Additionally, a common challenge across all learning materials was reading fatigue, which often led students to skim content, disengage, or misinterpret key information. These findings highlight the need for educational tools and approaches that foster deeper understanding of unfamiliar visualizations, reduce cognitive load, and encourage active engagement.

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Publication Details

Journal
IEEE Transactions on Visualization and Computer Graphics
Published
2025-11-20
DOI
https://doi.org/10.1109/tvcg.2025.3634817
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhancing Data Visualization Literacy: A Comparative Study of Learning Materials in Schools

Wolfgang Aigner, Magdalena Boucher, Martin Kandlhofer, Simone Kriglstein et al.
IEEE Transactions on Visualization and Computer Graphics
Data Visualization and Analytics
article

Enhancing Data Visualization Literacy: A Comparative Study of Learning Materials in Schools

Wolfgang Aigner, Magdalena Boucher, Martin Kandlhofer, Simone Kriglstein, Christina Stoiber, Shelley Buchinger, Magdaléna Kejstová, Alena Boucher
article en

Abstract

Interpreting data visualizations is an essential skill in today's education, yet students often struggle with understanding unfamiliar formats. This study investigates how four learning materials - textbook, comic, video, and game - affect middle- and high school students' ability to interpret line charts, area charts, stacked area charts, and stream graphs. We conducted a comparative classroom study with 68 students, using pre- and post-tests, worksheet activities, and group discussions to assess learning outcomes and understanding. Our results show statistically significant improvement in students' understanding of stacked area charts and stream graphs, while no significant differences between the learning materials were found. This suggests that more factors than initially anticipated - such as engagement, motivation and active learning strategies - influence the learning outcome. The analysis of the worksheets revealed that while students could infer surface-level insights from charts, over 70% struggled to identify underlying patterns or relationships. Additionally, a common challenge across all learning materials was reading fatigue, which often led students to skim content, disengage, or misinterpret key information. These findings highlight the need for educational tools and approaches that foster deeper understanding of unfamiliar visualizations, reduce cognitive load, and encourage active engagement.

IEEE Transactions on Visualization and Computer GraphicsVol. 32(1)
Masaryk University (CZ), University of Applied Sciences St Pölten (AT), Hermann Staudinger Gymnasium (DE), Austrian Society of Cardiology (AT)
Openalex Percentile: Top 64%
Data Visualization and Analytics
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